Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations.

Fei Sha University of Southern California, Los Angeles, USA http://www-bcf.usc.edu/~feisha/ https://scholar.google.com/citations?user=8rttV7kAAAAJ https://dl.acm.org/profile/81100436576 https://twitter.com/feishaai Jin Peng Zhou Sébastien M. R. Arnold Nan Ding 0002 Kilian Q. Weinberger Nan Hua Fei Sha Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations. 16572-16590 2025 EMNLP https://doi.org/10.18653/v1/2025.emnlp-main.838 conf/emnlp/2025 db/conf/emnlp/emnlp2025.html#ZhouADWHS25 streams/conf/emnlp Xuchan Bao Judith Yue Li Zhong Yi Wan Kun Su Timo I. Denk Joonseok Lee Dima Kuzmin Fei Sha Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance. 1-5 2025 ICASSP https://doi.org/10.1109/ICASSP49660.2025.10887608 conf/icassp/2025 db/conf/icassp/icassp2025.html#BaoLWSDLKS25

Jin Peng Zhou Sébastien M. R. Arnold Nan Ding 0002 Kilian Q. Weinberger Nan Hua Fei Sha Graders should cheat: privileged information enables expert-level automated evaluations. 2025 February abs/2502.10961 CoRR https://doi.org/10.48550/arXiv.2502.10961 db/journals/corr/corr2502.html#abs-2502-10961 streams/journals/corr

Linlu Qiu Fei Sha Kelsey R. Allen Yoon Kim Tal Linzen Sjoerd van Steenkiste Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models. 2025 March abs/2503.17523 CoRR https://doi.org/10.48550/arXiv.2503.17523 db/journals/corr/corr2503.html#abs-2503-17523 streams/journals/corr

Nitya Thakkar Mert Yüksekgönül Jake Silberg Animesh Garg Nanyun Peng 0001 Fei Sha Rose Yu Carl Vondrick James Zou 0001 Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025. 2025 April abs/2504.09737 CoRR https://doi.org/10.48550/arXiv.2504.09737 db/journals/corr/corr2504.html#abs-2504-09737 streams/journals/corr

Kun Su Judith Yue Li Qingqing Huang Dima Kuzmin Joonseok Lee Chris Donahue Fei Sha Aren Jansen Yu Wang Mauro Verzetti Timo I. Denk V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. 4952-4960 2024 AAAI https://doi.org/10.1609/aaai.v38i5.28299 conf/aaai/2024 db/conf/aaai/aaai2024.html#SuLHKLDSJWVD24 Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems. 2024 ICML https://proceedings.mlr.press/v235/schiff24b.html https://openreview.net/forum?id=3abgRKnK1W conf/icml/2024 db/conf/icml/icml2024.html#SchiffWPHKSZ24 43649-43684 Jackson Petty Sjoerd van Steenkiste Ishita Dasgupta 0001 Fei Sha Dan Garrette Tal Linzen The Impact of Depth on Compositional Generalization in Transformer Language Models. 7239-7252 2024 NAACL-HLT https://doi.org/10.18653/v1/2024.naacl-long.402 conf/naacl/2024 db/conf/naacl/naacl2024.html#PettyS0SGL24 Tiwalayo Eisape Michael Henry Tessler Ishita Dasgupta 0001 Fei Sha Sjoerd van Steenkiste Tal Linzen A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. 8425-8444 2024 NAACL-HLT https://doi.org/10.18653/v1/2024.naacl-long.466 conf/naacl/2024 db/conf/naacl/naacl2024.html#EisapeT0SSL24

Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems. 2024 abs/2402.04467 CoRR https://doi.org/10.48550/arXiv.2402.04467 db/journals/corr/corr2402.html#abs-2402-04467

Benedikt Barthel Sorensen Leonardo Zepeda-Núñez Ignacio Lopez-Gomez Zhong Yi Wan Rob Carver Fei Sha Themistoklis P. Sapsis A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data. 2024 abs/2408.02688 CoRR https://doi.org/10.48550/arXiv.2408.02688 db/journals/corr/corr2408.html#abs-2408-02688 streams/journals/corr

Shantanu Shahane Sheide Chammas Deniz A. Bezgin Aaron B. Buhendwa Steffen J. Schmidt Nikolaus A. Adams Spencer H. Bryngelson Yi-Fan Chen Qing Wang 0032 Fei Sha Leonardo Zepeda-Núñez Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme. 2024 abs/2409.09217 CoRR https://doi.org/10.48550/arXiv.2409.09217 db/journals/corr/corr2409.html#abs-2409-09217 streams/journals/corr

Roberto Molinaro Samuel Lanthaler Bogdan Raonic Tobias Rohner Victor Armegioiu Zhong Yi Wan Fei Sha Siddhartha Mishra Leonardo Zepeda-Núñez Generative AI for fast and accurate Statistical Computation of Fluids. 2024 abs/2409.18359 CoRR https://doi.org/10.48550/arXiv.2409.18359 db/journals/corr/corr2409.html#abs-2409-18359 streams/journals/corr

Ignacio Lopez-Gomez Zhong Yi Wan Leonardo Zepeda-Núñez Tapio Schneider John R. Anderson Fei Sha Dynamical-generative downscaling of climate model ensembles. 2024 abs/2410.01776 CoRR https://doi.org/10.48550/arXiv.2410.01776 db/journals/corr/corr2410.html#abs-2410-01776 streams/journals/corr

Xuchan Bao Judith Yue Li Zhong Yi Wan Kun Su Timo I. Denk Joonseok Lee Dima Kuzmin Fei Sha Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance. 2024 abs/2412.04746 CoRR https://doi.org/10.48550/arXiv.2412.04746 db/journals/corr/corr2412.html#abs-2412-04746 streams/journals/corr

Zhong Yi Wan Ignacio Lopez-Gomez Rob Carver Tapio Schneider John R. Anderson Fei Sha Leonardo Zepeda-Núñez Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models. 2024 abs/2412.08079 CoRR https://doi.org/10.48550/arXiv.2412.08079 db/journals/corr/corr2412.html#abs-2412-08079 streams/journals/corr

Hexiang Hu Ozan Sener Fei Sha Vladlen Koltun Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. 5684-5696 2023 May 45 IEEE Trans. Pattern Anal. Mach. Intell. 5 https://doi.org/10.1109/TPAMI.2022.3218265 db/journals/pami/pami45.html#HuSSK23

Michiel de Jong Yury Zemlyanskiy Joshua Ainslie Nicholas FitzGerald Sumit Sanghai Fei Sha William W. Cohen FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. 11534-11547 2023 ACL (Findings) https://doi.org/10.18653/v1/2023.findings-acl.732 https://aclanthology.org/2023.findings-acl.732 conf/acl/2023f db/conf/acl/acl2023f.html#JongZAFSSC23 Thomas Mensink Jasper R. R. Uijlings Lluís Castrejón Arushi Goel Felipe Cadar Howard Zhou Fei Sha André Araújo 0001 Vittorio Ferrari Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. 3090-3101 2023 ICCV https://doi.org/10.1109/ICCV51070.2023.00289 conf/iccv/2023 db/conf/iccv/iccv2023.html#MensinkUCGCZSAF23 Zhong Yi Wan Leonardo Zepeda-Núñez Anudhyan Boral Fei Sha Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems. 2023 ICLR https://openreview.net/forum?id=Z4s73sJYQM conf/iclr/2023 db/conf/iclr/iclr2023.html#WanZBS23 Michiel de Jong Yury Zemlyanskiy Nicholas FitzGerald Joshua Ainslie Sumit Sanghai Fei Sha William W. Cohen Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. 7329-7342 2023 ICML https://proceedings.mlr.press/v202/de-jong23a.html conf/icml/2023 db/conf/icml/icml2023.html#JongZFASSC23 Marc Anton Finzi Anudhyan Boral Andrew Gordon Wilson Fei Sha Leonardo Zepeda-Núñez User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems. 10136-10152 2023 ICML https://proceedings.mlr.press/v202/finzi23a.html conf/icml/2023 db/conf/icml/icml2023.html#FinziBWSZ23 Anudhyan Boral Zhong Yi Wan Leonardo Zepeda-Núñez James Lottes Qing Wang 0032 Yi-Fan Chen John Anderson Fei Sha Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/dabaded617b3be96c3ed161498a7d71c-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#BoralWZLWCAS23 Zhong Yi Wan Ricardo Baptista Anudhyan Boral Yi-Fan Chen John Anderson Fei Sha Leonardo Zepeda-Núñez Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/94d13c2401fe119e57ba325b6fe526e0-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#WanBBCASZ23

Zhong Yi Wan Leonardo Zepeda-Núñez Anudhyan Boral Fei Sha Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems. 2023 abs/2301.10391 CoRR https://doi.org/10.48550/arXiv.2301.10391 db/journals/corr/corr2301.html#abs-2301-10391

Michiel de Jong Yury Zemlyanskiy Nicholas FitzGerald Joshua Ainslie Sumit Sanghai Fei Sha William W. Cohen Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. 2023 abs/2301.10448 CoRR https://doi.org/10.48550/arXiv.2301.10448 db/journals/corr/corr2301.html#abs-2301-10448

Sébastien M. R. Arnold Fei Sha Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL. 2023 abs/2302.06009 CoRR https://doi.org/10.48550/arXiv.2302.06009 db/journals/corr/corr2302.html#abs-2302-06009

Kun Su Judith Yue Li Qingqing Huang Dima Kuzmin Joonseok Lee Chris Donahue Fei Sha Aren Jansen Yu Wang Mauro Verzetti Timo I. Denk V2Meow: Meowing to the Visual Beat via Music Generation. 2023 abs/2305.06594 CoRR https://doi.org/10.48550/arXiv.2305.06594 db/journals/corr/corr2305.html#abs-2305-06594

Zhong Yi Wan Ricardo Baptista Yi-Fan Chen John Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. 2023 abs/2305.15618 CoRR https://doi.org/10.48550/arXiv.2305.15618 db/journals/corr/corr2305.html#abs-2305-15618

Anudhyan Boral Zhong Yi Wan Leonardo Zepeda-Núñez James Lottes Qing Wang 0032 Yi-Fan Chen John Robert Anderson Fei Sha Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. 2023 abs/2306.01174 CoRR https://doi.org/10.48550/arXiv.2306.01174 db/journals/corr/corr2306.html#abs-2306-01174

Marc Finzi Anudhyan Boral Andrew Gordon Wilson Fei Sha Leonardo Zepeda-Núñez User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems. 2023 abs/2306.07526 CoRR https://doi.org/10.48550/arXiv.2306.07526 db/journals/corr/corr2306.html#abs-2306-07526

Thomas Mensink Jasper R. R. Uijlings Lluís Castrejón Arushi Goel Felipe Cadar Howard Zhou Fei Sha André Araújo 0001 Vittorio Ferrari Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. 2023 abs/2306.09224 CoRR https://doi.org/10.48550/arXiv.2306.09224 db/journals/corr/corr2306.html#abs-2306-09224

Lizao Li Rob Carver Ignacio Lopez-Gomez Fei Sha John Anderson SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models. 2023 abs/2306.14066 CoRR https://doi.org/10.48550/arXiv.2306.14066 db/journals/corr/corr2306.html#abs-2306-14066

Stephan Rasp 0001 Stephan Hoyer Alexander Merose Ian Langmore Peter W. Battaglia Tyler Russell Alvaro Sanchez-Gonzalez Vivian Yang Rob Carver Shreya Agrawal Matthew Chantry Zied Ben Bouallegue Peter Dueben Carla Bromberg Jared Sisk Luke Barrington Aaron Bell Fei Sha WeatherBench 2: A benchmark for the next generation of data-driven global weather models. 2023 abs/2308.15560 CoRR https://doi.org/10.48550/arXiv.2308.15560 db/journals/corr/corr2308.html#abs-2308-15560

Jackson Petty Sjoerd van Steenkiste Ishita Dasgupta 0001 Fei Sha Dan Garrette Tal Linzen The Impact of Depth and Width on Transformer Language Model Generalization. 2023 abs/2310.19956 CoRR https://doi.org/10.48550/arXiv.2310.19956 db/journals/corr/corr2310.html#abs-2310-19956

Tiwalayo Eisape Michael Henry Tessler Ishita Dasgupta 0001 Fei Sha Sjoerd van Steenkiste Tal Linzen A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. 2023 abs/2311.00445 CoRR https://doi.org/10.48550/arXiv.2311.00445 db/journals/corr/corr2311.html#abs-2311-00445

Fei Sha Ruizhi Zhang 0001 Adversarially robust subspace learning in the spiked covariance model. 521-530 2022 15 Stat. Anal. Data Min. 4 https://doi.org/10.1002/sam.11580 db/journals/sadm/sadm15.html#ShaZ22

Sébastien M. R. Arnold Pierre L'Ecuyer Liyu Chen Yi-Fan Chen Fei Sha Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. 1041-1061 2022 AISTATS https://proceedings.mlr.press/v151/arnold22a.html conf/aistats/2022 db/conf/aistats/aistats2022.html#ArnoldLCCS22 Yury Zemlyanskiy Michiel de Jong Joshua Ainslie Panupong Pasupat Peter Shaw 0004 Linlu Qiu Sumit Sanghai Fei Sha Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. 4946-4951 2022 COLING https://aclanthology.org/2022.coling-1.438 conf/coling/2022 db/conf/coling/coling2022.html#ZemlyanskiyJAPS22 Linlu Qiu Peter Shaw 0004 Panupong Pasupat Tianze Shi Jonathan Herzig Emily Pitler Fei Sha Kristina Toutanova Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. 9157-9179 2022 EMNLP https://doi.org/10.18653/v1/2022.emnlp-main.624 https://aclanthology.org/2022.emnlp-main.624 conf/emnlp/2022 db/conf/emnlp/emnlp2022.html#QiuSPSHPST22 Robby Costales Shariq Iqbal Fei Sha Possibility Before Utility: Learning And Using Hierarchical Affordances. 2022 ICLR https://openreview.net/forum?id=7b4zxUnrO2N conf/iclr/2022 db/conf/iclr/iclr2022.html#CostalesIS22 Michiel de Jong Yury Zemlyanskiy Nicholas FitzGerald Fei Sha William W. Cohen Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. 2022 ICLR https://openreview.net/forum?id=OY1A8ejQgEX conf/iclr/2022 db/conf/iclr/iclr2022.html#JongZFSC22 Fei Sha Ruizhi Zhang 0001 Quickest Detection of the Change of Community via Stochastic Block Models. 1903-1908 2022 ISIT https://doi.org/10.1109/ISIT50566.2022.9834562 conf/isit/2022 db/conf/isit/isit2022.html#ShaZ22 Linlu Qiu Peter Shaw 0004 Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova Improving Compositional Generalization with Latent Structure and Data Augmentation. 4341-4362 2022 NAACL-HLT https://doi.org/10.18653/v1/2022.naacl-main.323 https://aclanthology.org/2022.naacl-main.323 conf/naacl/2022 db/conf/naacl/naacl2022.html#QiuSPNLST22 Shariq Iqbal Robby Costales Fei Sha ALMA: Hierarchical Learning for Composite Multi-Agent Tasks. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/2f27964513a28d034530bfdd117ea31d-Abstract-Conference.html db/conf/nips/neurips2022.html#IqbalCS22

Sébastien M. R. Arnold Pierre L'Ecuyer Liyu Chen Yi-Fan Chen Fei Sha Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. 2022 abs/2202.07808 CoRR https://arxiv.org/abs/2202.07808 db/journals/corr/corr2202.html#abs-2202-07808

Robby Costales Shariq Iqbal Fei Sha Possibility Before Utility: Learning And Using Hierarchical Affordances. 2022 abs/2203.12686 CoRR https://doi.org/10.48550/arXiv.2203.12686 db/journals/corr/corr2203.html#abs-2203-12686

Linlu Qiu Peter Shaw 0004 Panupong Pasupat Tianze Shi Jonathan Herzig Emily Pitler Fei Sha Kristina Toutanova Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. 2022 abs/2205.12253 CoRR https://doi.org/10.48550/arXiv.2205.12253 db/journals/corr/corr2205.html#abs-2205-12253

Shariq Iqbal Robby Costales Fei Sha ALMA: Hierarchical Learning for Composite Multi-Agent Tasks. 2022 abs/2205.14205 CoRR https://doi.org/10.48550/arXiv.2205.14205 db/journals/corr/corr2205.html#abs-2205-14205

Yury Zemlyanskiy Michiel de Jong Joshua Ainslie Panupong Pasupat Peter Shaw 0004 Linlu Qiu Sumit Sanghai Fei Sha Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing. 2022 abs/2209.14899 CoRR https://doi.org/10.48550/arXiv.2209.14899 db/journals/corr/corr2209.html#abs-2209-14899

Michiel de Jong Yury Zemlyanskiy Joshua Ainslie Nicholas FitzGerald Sumit Sanghai Fei Sha William W. Cohen FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. 2022 abs/2212.08153 CoRR https://doi.org/10.48550/arXiv.2212.08153 db/journals/corr/corr2212.html#abs-2212-08153

Sébastien M. R. Arnold Shariq Iqbal Fei Sha When MAML Can Adapt Fast and How to Assist When It Cannot. 244-252 2021 AISTATS http://proceedings.mlr.press/v130/arnold21a.html conf/aistats/2021 db/conf/aistats/aistats2021.html#ArnoldIS21 Yury Zemlyanskiy Sudeep Gandhe Ruining He Bhargav Kanagal Anirudh Ravula Juraj Gottweis Fei Sha Ilya Eckstein DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. 2540-2549 2021 EACL https://doi.org/10.18653/v1/2021.eacl-main.217 https://aclanthology.org/2021.eacl-main.217/ conf/eacl/2021 db/conf/eacl/eacl2021.html#ZemlyanskiyGHKR21 Bowen Zhang 0002 Hexiang Hu Linlu Qiu Peter Shaw 0004 Fei Sha Visually Grounded Concept Composition. 201-215 2021 EMNLP (Findings) https://doi.org/10.18653/v1/2021.findings-emnlp.20 https://aclanthology.org/2021.findings-emnlp.20 conf/emnlp/2021f db/conf/emnlp/emnlp2021f.html#0002HQSS21 Linlu Qiu Hexiang Hu Bowen Zhang 0002 Peter Shaw 0004 Fei Sha Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? 2180-2188 2021 EMNLP (1) https://doi.org/10.18653/v1/2021.emnlp-main.166 https://aclanthology.org/2021.emnlp-main.166 conf/emnlp/2021-1 db/conf/emnlp/emnlp2021-1.html#QiuH0SS21 Sayali Kulkarni Sheide Chammas Wan Zhu Fei Sha Eugene Ie CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-document Summarization. 84-98 2021 ICDAR (2) https://doi.org/10.1007/978-3-030-86331-9_6 conf/icdar/2021-2 db/conf/icdar/icdar2021-2.html#KulkarniCZSI21 Shariq Iqbal Christian A. Schröder de Witt Bei Peng 0001 Wendelin Boehmer Shimon Whiteson Fei Sha Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. 4596-4606 2021 ICML http://proceedings.mlr.press/v139/iqbal21a.html conf/icml/2021 db/conf/icml/icml2021.html#IqbalWPBWS21 Yury Zemlyanskiy Joshua Ainslie Michiel de Jong Philip Pham Ilya Eckstein Fei Sha ReadTwice: Reading Very Large Documents with Memories. 5189-5195 2021 NAACL-HLT https://doi.org/10.18653/v1/2021.naacl-main.408 https://aclanthology.org/2021.naacl-main.408/ conf/naacl/2021 db/conf/naacl/naacl2021.html#ZemlyanskiyAJPE21

Yury Zemlyanskiy Sudeep Gandhe Ruining He Bhargav Kanagal Anirudh Ravula Juraj Gottweis Fei Sha Ilya Eckstein DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. 2021 abs/2102.13247 CoRR https://arxiv.org/abs/2102.13247 db/journals/corr/corr2102.html#abs-2102-13247

Sébastien M. R. Arnold Fei Sha Embedding Adaptation is Still Needed for Few-Shot Learning. 2021 abs/2104.07255 CoRR https://arxiv.org/abs/2104.07255 db/journals/corr/corr2104.html#abs-2104-07255

Yury Zemlyanskiy Joshua Ainslie Michiel de Jong Philip Pham Ilya Eckstein Fei Sha ReadTwice: Reading Very Large Documents with Memories. 2021 abs/2105.04241 CoRR https://arxiv.org/abs/2105.04241 db/journals/corr/corr2105.html#abs-2105-04241

Linlu Qiu Hexiang Hu Bowen Zhang 0002 Peter Shaw 0004 Fei Sha Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? 2021 abs/2109.12243 CoRR https://arxiv.org/abs/2109.12243 db/journals/corr/corr2109.html#abs-2109-12243

Bowen Zhang 0002 Hexiang Hu Linlu Qiu Peter Shaw 0004 Fei Sha Visually Grounded Concept Composition. 2021 abs/2109.14115 CoRR https://arxiv.org/abs/2109.14115 db/journals/corr/corr2109.html#abs-2109-14115

Michiel de Jong Yury Zemlyanskiy Nicholas FitzGerald Fei Sha William W. Cohen Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. 2021 abs/2110.06176 CoRR https://arxiv.org/abs/2110.06176 db/journals/corr/corr2110.html#abs-2110-06176

Filipe de Avila Belbute-Peres Yi-Fan Chen Fei Sha HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks. 2021 abs/2111.01008 CoRR https://arxiv.org/abs/2111.01008 db/journals/corr/corr2111.html#abs-2111-01008

Wang Zhu 0001 Peter Shaw 0004 Tal Linzen Fei Sha Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks. 2021 abs/2111.05013 CoRR https://arxiv.org/abs/2111.05013 db/journals/corr/corr2111.html#abs-2111-05013

Bowen Zhang 0002 Jiahui Yu Christopher Fifty Wei Han Andrew M. Dai Ruoming Pang Fei Sha Co-training Transformer with Videos and Images Improves Action Recognition. 2021 abs/2112.07175 CoRR https://arxiv.org/abs/2112.07175 db/journals/corr/corr2112.html#abs-2112-07175

Linlu Qiu Peter Shaw 0004 Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova Improving Compositional Generalization with Latent Structure and Data Augmentation. 2021 abs/2112.07610 CoRR https://arxiv.org/abs/2112.07610 db/journals/corr/corr2112.html#abs-2112-07610

Soravit Changpinyo Wei-Lun Chao Boqing Gong Fei Sha Classifier and Exemplar Synthesis for Zero-Shot Learning. 166-201 2020 128 Int. J. Comput. Vis. 1 https://doi.org/10.1007/s11263-019-01193-1 https://www.wikidata.org/entity/Q127319819 db/journals/ijcv/ijcv128.html#ChangpinyoCGS20

Wang Zhu 0001 Hexiang Hu Jiacheng Chen Zhiwei Deng Vihan Jain Eugene Ie Fei Sha BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. 2539-2556 2020 ACL https://doi.org/10.18653/v1/2020.acl-main.229 https://aclanthology.org/2020.acl-main.229/ conf/acl/2020 db/conf/acl/acl2020.html#ZhuHCDJIS20 Yiming Yan Melissa Ailem Fei Sha Amortized Inference of Variational Bounds for Learning Noisy-OR. 3632-3641 2020 AISTATS http://proceedings.mlr.press/v108/yan20b.html conf/aistats/2020 db/conf/aistats/aistats2020.html#YanAS20 Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. 8805-8814 2020 CVPR https://openaccess.thecvf.com/content_CVPR_2020/html/Ye_Few-Shot_Learning_via_Embedding_Adaptation_With_Set-to-Set_Functions_CVPR_2020_paper.html https://doi.org/10.1109/CVPR42600.2020.00883 conf/cvpr/2020 db/conf/cvpr/cvpr2020.html#YeHZS20 Bowen Zhang 0002 Hexiang Hu Vihan Jain Eugene Ie Fei Sha Learning to Represent Image and Text with Denotation Graph. 823-839 2020 EMNLP (1) https://doi.org/10.18653/v1/2020.emnlp-main.60 https://aclanthology.org/2020.emnlp-main.60/ conf/emnlp/2020-1 db/conf/emnlp/emnlp2020-1.html#ZhangHJIS20

Bowen Zhang 0002 Hexiang Hu Fei Sha Visual Storytelling via Predicting Anchor Word Embeddings in the Stories. 2020 abs/2001.04541 CoRR https://arxiv.org/abs/2001.04541 db/journals/corr/corr2001.html#abs-2001-04541

Wang Zhu 0001 Hexiang Hu Jiacheng Chen Zhiwei Deng Vihan Jain Eugene Ie Fei Sha BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. 2020 abs/2005.04625 CoRR https://arxiv.org/abs/2005.04625 db/journals/corr/corr2005.html#abs-2005-04625

Shariq Iqbal Christian A. Schröder de Witt Bei Peng 0001 Wendelin Böhmer Shimon Whiteson Fei Sha AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. 2020 abs/2006.04222 CoRR https://arxiv.org/abs/2006.04222 db/journals/corr/corr2006.html#abs-2006-04222

Zhiyun Lu Eugene Ie Fei Sha Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation. 2020 abs/2006.07584 CoRR https://arxiv.org/abs/2006.07584 db/journals/corr/corr2006.html#abs-2006-07584

Hexiang Hu Ozan Sener Fei Sha Vladlen Koltun Drinking from a Firehose: Continual Learning with Web-scale Natural Language. 2020 abs/2007.09335 CoRR https://arxiv.org/abs/2007.09335 db/journals/corr/corr2007.html#abs-2007-09335

Bowen Zhang 0002 Hexiang Hu Vihan Jain Eugene Ie Fei Sha Learning to Represent Image and Text with Denotation Graph. 2020 abs/2010.02949 CoRR https://arxiv.org/abs/2010.02949 db/journals/corr/corr2010.html#abs-2010-02949

Sayali Kulkarni Sheide Chammas Wan Zhu Fei Sha Eugene Ie AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization. 2020 abs/2010.12694 CoRR https://arxiv.org/abs/2010.12694 db/journals/corr/corr2010.html#abs-2010-12694

Bowen Zhang 0002 Hexiang Hu Joonseok Lee Ming Zhao Sheide Chammas Vihan Jain Eugene Ie Fei Sha A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus. 2020 abs/2011.09046 CoRR https://arxiv.org/abs/2011.09046 db/journals/corr/corr2011.html#abs-2011-09046

Avner May Alireza Bagheri Garakani Zhiyun Lu Dong Guo Kuan Liu Aurélien Bellet Linxi Fan Michael Collins 0001 Daniel Hsu 0001 Brian Kingsbury Michael Picheny Fei Sha Kernel Approximation Methods for Speech Recognition. 59:1-59:36 2019 20 J. Mach. Learn. Res. https://jmlr.org/papers/v20/17-026.html db/journals/jmlr/jmlr20.html#MayGLGLBFCHKPS19

Jin Joo Lee Fei Sha Cynthia Breazeal A Bayesian Theory of Mind Approach to Nonverbal Communication. 487-496 2019 HRI https://doi.org/10.1109/HRI.2019.8673023 conf/hri/2019 db/conf/hri/hri2019.html#LeeSB19 Shariq Iqbal Fei Sha Actor-Attention-Critic for Multi-Agent Reinforcement Learning. 2961-2970 2019 ICML http://proceedings.mlr.press/v97/iqbal19a.html conf/icml/2019 db/conf/icml/icml2019.html#IqbalS19 Zhiyun Lu Liyu Chen Chao-Kai Chiang Fei Sha Hyper-parameter Tuning under a Budget Constraint. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/796 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#LuCCS19 5744-5750

Zhiyun Lu Chao-Kai Chiang Fei Sha Hyper-parameter Tuning under a Budget Constraint. 2019 abs/1902.00532 CoRR http://arxiv.org/abs/1902.00532 db/journals/corr/corr1902.html#abs-1902-00532

Hexiang Hu Liyu Chen Boqing Gong Fei Sha Synthesized Policies for Transfer and Adaptation across Tasks and Environments. 2019 abs/1904.03276 CoRR http://arxiv.org/abs/1904.03276 db/journals/corr/corr1904.html#abs-1904-03276

Shariq Iqbal Fei Sha Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. 2019 abs/1905.12127 CoRR http://arxiv.org/abs/1905.12127 db/journals/corr/corr1905.html#abs-1905-12127

Yiming Yan Melissa Ailem Fei Sha Amortized Inference of Variational Bounds for Learning Noisy-OR. 2019 abs/1906.02428 CoRR http://arxiv.org/abs/1906.02428 db/journals/corr/corr1906.html#abs-1906-02428

Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha Learning Classifier Synthesis for Generalized Few-Shot Learning. 2019 abs/1906.02944 CoRR http://arxiv.org/abs/1906.02944 db/journals/corr/corr1906.html#abs-1906-02944

Michiel de Jong Fei Sha Neural Theorem Provers Do Not Learn Rules Without Exploration. 2019 abs/1906.06805 CoRR http://arxiv.org/abs/1906.06805 db/journals/corr/corr1906.html#abs-1906-06805

Melissa Ailem Bowen Zhang 0002 Fei Sha Topic Augmented Generator for Abstractive Summarization. 2019 abs/1908.07026 CoRR http://arxiv.org/abs/1908.07026 db/journals/corr/corr1908.html#abs-1908-07026

Sébastien M. R. Arnold Shariq Iqbal Fei Sha Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning. 2019 abs/1910.13603 CoRR http://arxiv.org/abs/1910.13603 db/journals/corr/corr1910.html#abs-1910-13603

Tarek F. Abdelzaher Nora Ayanian Tamer Basar Suhas N. Diggavi Jana Diesner Deepak Ganesan Ramesh Govindan Susmit Jha Tancrède Lepoint Benjamin M. Marlin Klara Nahrstedt David M. Nicol Raj Rajkumar Stephen Russell 0001 Sanjit A. Seshia Fei Sha Prashant J. Shenoy Mani B. Srivastava Gaurav S. Sukhatme Ananthram Swami Paulo Tabuada Don Towsley Nitin H. Vaidya Venugopal V. Veeravalli Toward an Internet of Battlefield Things: A Resilience Perspective. 24-36 2018 51 Computer 11 https://doi.org/10.1109/MC.2018.2876048 https://www.wikidata.org/entity/Q128529934 db/journals/computer/computer51.html#AbdelzaherABDDG18

Jan Kremer Fei Sha Christian Igel Robust Active Label Correction. 308-316 2018 AISTATS http://proceedings.mlr.press/v84/kremer18a.html conf/aistats/2018 db/conf/aistats/aistats2018.html#KremerSI18 Soravit Changpinyo Hexiang Hu Fei Sha Multi-Task Learning for Sequence Tagging: An Empirical Study. 2965-2977 2018 COLING https://aclanthology.org/C18-1251/ conf/coling/2018 db/conf/coling/coling2018.html#ChangpinyoHS18 Yury Zemlyanskiy Fei Sha Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. 551-561 2018 CoNLL https://doi.org/10.18653/v1/k18-1053 https://aclanthology.org/K18-1053/ conf/conll/2018 db/conf/conll/conll2018.html#ZemlyanskiyS18 Hexiang Hu Wei-Lun Chao Fei Sha Learning Answer Embeddings for Visual Question Answering. 5428-5436 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Learning_Answer_Embeddings_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00569 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00569 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#HuCS18 Wei-Lun Chao Hexiang Hu Fei Sha Cross-Dataset Adaptation for Visual Question Answering. 5716-5725 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Chao_Cross-Dataset_Adaptation_for_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00599 https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00599 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#ChaoHS18 Bowen Zhang 0002 Hexiang Hu Fei Sha Cross-Modal and Hierarchical Modeling of Video and Text. 385-401 2018 ECCV (13) https://doi.org/10.1007/978-3-030-01261-8_23 conf/eccv/2018-13 db/conf/eccv/eccv2018-13.html#ZhangHS18 Ke Zhang 0028 Kristen Grauman Fei Sha Retrospective Encoders for Video Summarization. 391-408 2018 ECCV (8) https://doi.org/10.1007/978-3-030-01237-3_24 conf/eccv/2018-8 db/conf/eccv/eccv2018-8.html#ZhangGS18 Melissa Ailem Bowen Zhang 0002 Aurélien Bellet Pascal Denis Fei Sha A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. 1478-1487 2018 EMNLP https://doi.org/10.18653/v1/d18-1177 https://aclanthology.org/D18-1177/ conf/emnlp/2018 db/conf/emnlp/emnlp2018.html#AilemZBDS18 Tarek F. Abdelzaher Nora Ayanian Tamer Basar Suhas N. Diggavi Jana Diesner Deepak Ganesan Ramesh Govindan Susmit Jha Tancrède Lepoint Benjamin M. Marlin Klara Nahrstedt David M. Nicol Raj Rajkumar Stephen Russell 0001 Sanjit A. Seshia Fei Sha Prashant J. Shenoy Mani B. Srivastava Gaurav S. Sukhatme Ananthram Swami Paulo Tabuada Don Towsley Nitin H. Vaidya Venugopal V. Veeravalli Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. 1129-1138 2018 ICDCS https://doi.org/10.1109/ICDCS.2018.00112 https://doi.ieeecomputersociety.org/10.1109/ICDCS.2018.00112 conf/icdcs/2018 db/conf/icdcs/icdcs2018.html#AbdelzaherABDDG18 Wei-Lun Chao Hexiang Hu Fei Sha Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. 431-441 2018 NAACL-HLT https://doi.org/10.18653/v1/n18-1040 https://aclanthology.org/N18-1040/ conf/naacl/2018-1 db/conf/naacl/naacl2018-1.html#ChaoHS18 Hexiang Hu Liyu Chen Boqing Gong Fei Sha Synthesize Policies for Transfer and Adaptation across Tasks and Environments. 1176-1185 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/00ac8ed3b4327bdd4ebbebcb2ba10a00-Abstract.html http://papers.nips.cc/paper/7393-synthesize-policies-for-transfer-and-adaptation-across-tasks-and-environments conf/nips/2018 db/conf/nips/nips2018.html#HuCGS18

Hexiang Hu Wei-Lun Chao Fei Sha Learning Answer Embeddings for Visual Question Answering. 2018 abs/1806.03724 CoRR http://arxiv.org/abs/1806.03724 db/journals/corr/corr1806.html#abs-1806-03724

Wei-Lun Chao Hexiang Hu Fei Sha Cross-Dataset Adaptation for Visual Question Answering. 2018 abs/1806.03726 CoRR http://arxiv.org/abs/1806.03726 db/journals/corr/corr1806.html#abs-1806-03726

Soravit Changpinyo Hexiang Hu Fei Sha Multi-Task Learning for Sequence Tagging: An Empirical Study. 2018 abs/1808.04151 CoRR http://arxiv.org/abs/1808.04151 db/journals/corr/corr1808.html#abs-1808-04151

Yury Zemlyanskiy Fei Sha Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. 2018 abs/1808.07104 CoRR http://arxiv.org/abs/1808.07104 db/journals/corr/corr1808.html#abs-1808-07104

Shariq Iqbal Fei Sha Actor-Attention-Critic for Multi-Agent Reinforcement Learning. 2018 abs/1810.02912 CoRR http://arxiv.org/abs/1810.02912 db/journals/corr/corr1810.html#abs-1810-02912

Bowen Zhang 0002 Hexiang Hu Fei Sha Cross-Modal and Hierarchical Modeling of Video and Text. 2018 abs/1810.07212 CoRR http://arxiv.org/abs/1810.07212 db/journals/corr/corr1810.html#abs-1810-07212

Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha Learning Embedding Adaptation for Few-Shot Learning. 2018 abs/1812.03664 CoRR http://arxiv.org/abs/1812.03664 db/journals/corr/corr1812.html#abs-1812-03664

Soravit Changpinyo Wei-Lun Chao Boqing Gong Fei Sha Classifier and Exemplar Synthesis for Zero-Shot Learning. 2018 abs/1812.06423 CoRR http://arxiv.org/abs/1812.06423 db/journals/corr/corr1812.html#abs-1812-06423

Kun Fu 0002 Junqi Jin Runpeng Cui Fei Sha Changshui Zhang Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts. 2321-2334 2017 39 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2016.2642953 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2642953 https://www.wikidata.org/entity/Q38383089 db/journals/pami/pami39.html#FuJCSZ17

Chenxi Liu 0001 Junhua Mao Fei Sha Alan L. Yuille Attention Correctness in Neural Image Captioning. 4176-4182 2017 AAAI https://doi.org/10.1609/aaai.v31i1.11197 conf/aaai/2017 db/conf/aaai/aaai2017.html#LiuMSY17 Hexiang Hu Shiyi Lan Yuning Jiang 0001 Zhimin Cao Fei Sha FastMask: Segment Multi-scale Object Candidates in One Shot. 2280-2288 2017 CVPR https://doi.org/10.1109/CVPR.2017.245 https://doi.ieeecomputersociety.org/10.1109/CVPR.2017.245 conf/cvpr/2017 db/conf/cvpr/cvpr2017.html#HuLJCS17 Soravit Changpinyo Wei-Lun Chao Fei Sha Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning. 3496-3505 2017 ICCV https://doi.org/10.1109/ICCV.2017.376 https://doi.ieeecomputersociety.org/10.1109/ICCV.2017.376 conf/iccv/2017 db/conf/iccv/iccv2017.html#ChangpinyoCS17 Maximilian Alber Pieter-Jan Kindermans Kristof Schütt Klaus-Robert Müller Fei Sha An Empirical Study on The Properties of Random Bases for Kernel Methods. 2763-2774 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/92af93f73faf3cefc129b6bc55a748a9-Abstract.html http://papers.nips.cc/paper/6869-an-empirical-study-on-the-properties-of-random-bases-for-kernel-methods conf/nips/2017 db/conf/nips/nips2017.html#AlberKSMS17 Boqing Gong Kristen Grauman Fei Sha Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. 59-79 2017 Domain Adaptation in Computer Vision Applications https://doi.org/10.1007/978-3-319-58347-1_3 series/acvpr/978-3-319-58347-1 db/series/acvpr/domain2017.html#GongGS17

Avner May Alireza Bagheri Garakani Zhiyun Lu Dong Guo Kuan Liu Aurélien Bellet Linxi Fan Michael Collins 0001 Daniel J. Hsu Brian Kingsbury Michael Picheny Fei Sha Kernel Approximation Methods for Speech Recognition. 2017 abs/1701.03577 CoRR http://arxiv.org/abs/1701.03577 db/journals/corr/corr1701.html#MayGLGLBFCHKPS17

Hexiang Hu Zhiwei Deng Guang-Tong Zhou Fei Sha Greg Mori LabelBank: Revisiting Global Perspectives for Semantic Segmentation. 2017 abs/1703.09891 CoRR http://arxiv.org/abs/1703.09891 db/journals/corr/corr1703.html#HuDZSM17

Wei-Lun Chao Hexiang Hu Fei Sha Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. 2017 abs/1704.07121 CoRR http://arxiv.org/abs/1704.07121 db/journals/corr/corr1704.html#ChaoHS17

Christian Potthast Andreas Breitenmoser Fei Sha Gaurav S. Sukhatme Active multi-view object recognition: A unifying view on online feature selection and view planning. 31-47 2016 84 Robotics Auton. Syst. https://doi.org/10.1016/j.robot.2016.06.013 db/journals/ras/ras84.html#PotthastBSS16

Ying Li Fei Sha Shujuan Wang Tao Hu The improvement of page sorting algorithm for music users in Nutch. 1-4 2016 ICIS https://doi.org/10.1109/ICIS.2016.7550905 https://doi.ieeecomputersociety.org/10.1109/ICIS.2016.7550905 conf/ACISicis/2016 db/conf/ACISicis/ACISicis2016.html#LiSWH16 Yuan Shi Wenzhe Li Fei Sha Metric Learning for Ordinal Data. 2030-2036 2016 AAAI https://doi.org/10.1609/aaai.v30i1.10280 conf/aaai/2016 db/conf/aaai/aaai2016.html#ShiLS16 Ke Zhang 0028 Wei-Lun Chao Fei Sha Kristen Grauman Summary Transfer: Exemplar-Based Subset Selection for Video Summarization. 1059-1067 2016 CVPR https://doi.org/10.1109/CVPR.2016.120 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.120 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#ZhangCSG16 Soravit Changpinyo Wei-Lun Chao Boqing Gong Fei Sha Synthesized Classifiers for Zero-Shot Learning. 5327-5336 2016 CVPR https://doi.org/10.1109/CVPR.2016.575 https://doi.ieeecomputersociety.org/10.1109/CVPR.2016.575 conf/cvpr/2016 db/conf/cvpr/cvpr2016.html#ChangpinyoCGS16 Wei-Lun Chao Soravit Changpinyo Boqing Gong Fei Sha An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild. 52-68 2016 ECCV (2) https://doi.org/10.1007/978-3-319-46475-6_4 conf/eccv/2016-2 db/conf/eccv/eccv2016-2.html#ChaoCGS16 Ke Zhang 0028 Wei-Lun Chao Fei Sha Kristen Grauman Video Summarization with Long Short-Term Memory. 766-782 2016 ECCV (7) https://doi.org/10.1007/978-3-319-46478-7_47 conf/eccv/2016-7 db/conf/eccv/eccv2016-7.html#ZhangCSG16 Zhiyun Lu Dong Guo Alireza Bagheri Garakani Kuan Liu Avner May Aurélien Bellet Linxi Fan Michael Collins 0001 Brian Kingsbury Michael Picheny Fei Sha A comparison between deep neural nets and kernel acoustic models for speech recognition. 5070-5074 2016 ICASSP https://doi.org/10.1109/ICASSP.2016.7472643 conf/icassp/2016 db/conf/icassp/icassp2016.html#LuQGLMBFCKPS16 Gao Huang 0001 Chuan Guo 0001 Matt J. Kusner Yu Sun 0020 Fei Sha Kilian Q. Weinberger Supervised Word Mover's Distance. 4862-4870 2016 NIPS https://proceedings.neurips.cc/paper/2016/hash/10c66082c124f8afe3df4886f5e516e0-Abstract.html http://papers.nips.cc/paper/6139-supervised-word-movers-distance conf/nips/2016 db/conf/nips/nips2016.html#HuangGKSSW16

Soravit Changpinyo Wei-Lun Chao Boqing Gong Fei Sha Synthesized Classifiers for Zero-Shot Learning. 2016 abs/1603.00550 CoRR http://arxiv.org/abs/1603.00550 db/journals/corr/corr1603.html#ChangpinyoCGS16

Ke Zhang 0028 Wei-Lun Chao Fei Sha Kristen Grauman Summary Transfer: Exemplar-based Subset Selection for Video Summarization. 2016 abs/1603.03369 CoRR http://arxiv.org/abs/1603.03369 db/journals/corr/corr1603.html#ZhangCSG16

Zhiyun Lu Dong Guo Alireza Bagheri Garakani Kuan Liu Avner May Aurélien Bellet Linxi Fan Michael Collins 0001 Brian Kingsbury Michael Picheny Fei Sha A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. 2016 abs/1603.05800 CoRR http://arxiv.org/abs/1603.05800 db/journals/corr/corr1603.html#LuGGLMBFCKPS16

Wei-Lun Chao Soravit Changpinyo Boqing Gong Fei Sha An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild. 2016 abs/1605.04253 CoRR http://arxiv.org/abs/1605.04253 db/journals/corr/corr1605.html#ChaoCGS16

Ke Zhang 0028 Wei-Lun Chao Fei Sha Kristen Grauman Video Summarization with Long Short-term Memory. 2016 abs/1605.08110 CoRR http://arxiv.org/abs/1605.08110 db/journals/corr/corr1605.html#ZhangCSG16a

Soravit Changpinyo Wei-Lun Chao Fei Sha Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning. 2016 abs/1605.08151 CoRR http://arxiv.org/abs/1605.08151 db/journals/corr/corr1605.html#ChangpinyoCS16

Chenxi Liu 0001 Junhua Mao Fei Sha Alan L. Yuille Attention Correctness in Neural Image Captioning. 2016 abs/1605.09553 CoRR http://arxiv.org/abs/1605.09553 db/journals/corr/corr1605.html#LiuMSY16

Hexiang Hu Zhiwei Deng Guang-Tong Zhou Fei Sha Greg Mori Recalling Holistic Information for Semantic Segmentation. 2016 abs/1611.08061 CoRR http://arxiv.org/abs/1611.08061 db/journals/corr/corr1611.html#HuDZSM16

Nan Ding 0002 Sebastian Goodman Fei Sha Radu Soricut Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task. 2016 abs/1612.07833 CoRR http://arxiv.org/abs/1612.07833 db/journals/corr/corr1612.html#DingGSS16

Hexiang Hu Shiyi Lan Yuning Jiang 0001 Zhimin Cao Fei Sha FastMask: Segment Object Multi-scale Candidates in One Shot. 2016 abs/1612.08843 CoRR http://arxiv.org/abs/1612.08843 db/journals/corr/corr1612.html#HuLJCS16

Minmin Chen Kilian Q. Weinberger Zhixiang Eddie Xu Fei Sha Marginalizing stacked linear denoising autoencoders. 3849-3875 2015 16 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/2789272.2912118 db/journals/jmlr/jmlr16.html#ChenWXS15

Kuan Liu Aurélien Bellet Fei Sha Similarity Learning for High-Dimensional Sparse Data. 2015 AISTATS http://proceedings.mlr.press/v38/liu15.html conf/aistats/2015 db/conf/aistats/aistats2015.html#LiuBS15 Caitlyn Clabaugh Gisele Ragusa Fei Sha Maja J. Mataric Designing a socially assistive robot for personalized number concepts learning in preschool children. 314-319 2015 ICDL-EPIROB https://doi.org/10.1109/DEVLRN.2015.7346164 https://www.wikidata.org/entity/Q114436786 conf/icdl-epirob/2015 db/conf/icdl-epirob/icdl-epirob2015.html#ClabaughRSM15 Wei-Lun Chao Justin Solomon 0001 Dominik L. Michels Fei Sha Exponential Integration for Hamiltonian Monte Carlo. 1142-1151 2015 ICML http://proceedings.mlr.press/v37/chao15.html conf/icml/2015 db/conf/icml/icml2015.html#ChaoSMS15 Christian Potthast Andreas Breitenmoser Fei Sha Gaurav S. Sukhatme Active Multi-view Object Recognition and Online Feature Selection. 471-488 2015 ISRR (2) https://doi.org/10.1007/978-3-319-60916-4_27 conf/isrr/2015-2 db/conf/isrr/isrr2015-2.html#PotthastBSS15 Aurélien Bellet Yingyu Liang Alireza Bagheri Garakani Maria-Florina Balcan Fei Sha A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. 478-486 2015 SDM https://doi.org/10.1137/1.9781611974010.54 conf/sdm/2015 db/conf/sdm/sdm2015.html#BelletLGBS15 Wei-Lun Chao Boqing Gong Kristen Grauman Fei Sha Large-Margin Determinantal Point Processes. 191-200 2015 UAI conf/uai/2015 db/conf/uai/uai2015.html#ChaoGGS15 http://auai.org/uai2015/proceedings/papers/209.pdf

Junqi Jin Kun Fu 0002 Runpeng Cui Fei Sha Changshui Zhang Aligning where to see and what to tell: image caption with region-based attention and scene factorization. 2015 abs/1506.06272 CoRR http://arxiv.org/abs/1506.06272 db/journals/corr/corr1506.html#JinFCSZ15

Boqing Gong Kristen Grauman Fei Sha Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition. 3-27 2014 109 Int. J. Comput. Vis. 1-2 https://doi.org/10.1007/s11263-014-0718-4 db/journals/ijcv/ijcv109.html#GongGS14

Yuan Shi Aurélien Bellet Fei Sha Sparse Compositional Metric Learning. 2078-2084 2014 AAAI https://doi.org/10.1609/aaai.v28i1.8968 conf/aaai/2014 db/conf/aaai/aaai2014.html#ShiBS14 Dinesh Jayaraman Fei Sha Kristen Grauman Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. 1629-1636 2014 CVPR https://doi.org/10.1109/CVPR.2014.211 https://doi.ieeecomputersociety.org/10.1109/CVPR.2014.211 conf/cvpr/2014 db/conf/cvpr/cvpr2014.html#JayaramanSG14 Zi Wang Fei Sha Discriminative non-negative matrix factorization for single-channel speech separation. 3749-3753 2014 ICASSP https://doi.org/10.1109/ICASSP.2014.6854302 conf/icassp/2014 db/conf/icassp/icassp2014.html#WangS14a Greg Ver Steeg Aram Galstyan Fei Sha Simon DeDeo Demystifying Information-Theoretic Clustering. 19-27 2014 ICML http://proceedings.mlr.press/v32/steeg14.html conf/icml/2014 db/conf/icml/icml2014.html#SteegGSD14 Jun Wang 0017 Ke Sun 0001 Fei Sha Stéphane Marchand-Maillet Alexandros Kalousis Two-Stage Metric Learning. 370-378 2014 ICML http://proceedings.mlr.press/v32/wangc14.html conf/icml/2014 db/conf/icml/icml2014.html#WangSSMK14 Minmin Chen Kilian Q. Weinberger Fei Sha Yoshua Bengio Marginalized Denoising Auto-encoders for Nonlinear Representations. 1476-1484 2014 ICML http://proceedings.mlr.press/v32/cheng14.html conf/icml/2014 db/conf/icml/icml2014.html#ChenWSB14 Boqing Gong Wei-Lun Chao Kristen Grauman Fei Sha Diverse Sequential Subset Selection for Supervised Video Summarization. 2069-2077 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/0eec27c419d0fe24e53c90338cdc8bc6-Abstract.html http://papers.nips.cc/paper/5413-diverse-sequential-subset-selection-for-supervised-video-summarization conf/nips/2014 db/conf/nips/nips2014.html#GongCGS14

Aurélien Bellet Yingyu Liang Alireza Bagheri Garakani Maria-Florina Balcan Fei Sha Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. 2014 abs/1404.2644 CoRR http://arxiv.org/abs/1404.2644 db/journals/corr/corr1404.html#BelletLGBS14

Yuan Shi Aurélien Bellet Fei Sha Sparse Compositional Metric Learning. 2014 abs/1404.4105 CoRR http://arxiv.org/abs/1404.4105 db/journals/corr/corr1404.html#ShiBS14

Jun Wang 0017 Ke Sun 0001 Fei Sha Stéphane Marchand-Maillet Alexandros Kalousis Two-Stage Metric Learning. 2014 abs/1405.2798 CoRR http://arxiv.org/abs/1405.2798 db/journals/corr/corr1405.html#WangSSMK14

Boqing Gong Wei-Lun Chao Kristen Grauman Fei Sha Large-Margin Determinantal Point Processes. 2014 abs/1411.1537 CoRR http://arxiv.org/abs/1411.1537 db/journals/corr/corr1411.html#GongCGS14

Kuan Liu Aurélien Bellet Fei Sha Similarity Learning for High-Dimensional Sparse Data. 2014 abs/1411.2374 CoRR http://arxiv.org/abs/1411.2374 db/journals/corr/corr1411.html#LiuBS14

Zhiyun Lu Avner May Kuan Liu Alireza Bagheri Garakani Dong Guo Aurélien Bellet Linxi Fan Michael Collins 0001 Brian Kingsbury Michael Picheny Fei Sha How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. 2014 abs/1411.4000 CoRR http://arxiv.org/abs/1411.4000 db/journals/corr/corr1411.html#LuMLGGBFCKPS14

Jaechul Kim Ce Liu 0001 Fei Sha Kristen Grauman Deformable Spatial Pyramid Matching for Fast Dense Correspondences. 2307-2314 2013 CVPR https://doi.org/10.1109/CVPR.2013.299 https://doi.ieeecomputersociety.org/10.1109/CVPR.2013.299 conf/cvpr/2013 db/conf/cvpr/cvpr2013.html#KimLSG13 Boqing Gong Kristen Grauman Fei Sha Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. 222-230 2013 ICML (1) http://proceedings.mlr.press/v28/gong13.html conf/icml/2013 db/conf/icml/icml2013.html#GongGS13 Sung Ju Hwang Kristen Grauman Fei Sha Analogy-preserving Semantic Embedding for Visual Object Categorization. 639-647 2013 ICML (3) http://proceedings.mlr.press/v28/juhwang13.html conf/icml/2013 db/conf/icml/icml2013.html#HwangGS13 Boqing Gong Kristen Grauman Fei Sha Reshaping Visual Datasets for Domain Adaptation. 1286-1294 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/2291d2ec3b3048d1a6f86c2c4591b7e0-Abstract.html http://papers.nips.cc/paper/5210-reshaping-visual-datasets-for-domain-adaptation conf/nips/2013 db/conf/nips/nips2013.html#GongGS13 Soravit Changpinyo Kuan Liu Fei Sha Similarity Component Analysis. 1511-1519 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/872488f88d1b2db54d55bc8bba2fad1b-Abstract.html http://papers.nips.cc/paper/5015-similarity-component-analysis conf/nips/2013 db/conf/nips/nips2013.html#ChangpinyoLS13

Zhixiang Eddie Xu Minmin Chen Kilian Q. Weinberger Fei Sha An alternative text representation to TF-IDF and Bag-of-Words http://arxiv.org/abs/1301.6770 2013 CoRR abs/1301.6770 db/journals/corr/corr1301.html#abs-1301-6770

Greg Ver Steeg Aram Galstyan Fei Sha Simon DeDeo Demystifying Information-Theoretic Clustering. 2013 CoRR http://arxiv.org/abs/1310.4210 abs/1310.4210 db/journals/corr/corr1310.html#SteegGSD13

Tomer Levinboim Fei Sha Learning the Kernel Matrix with Low-Rank Multiplicative Shaping. 2012 AAAI https://doi.org/10.1609/aaai.v26i1.8306 conf/aaai/2012 db/conf/aaai/aaai2012.html#LevinboimS12 984-990 Zhixiang Eddie Xu Minmin Chen Kilian Q. Weinberger Fei Sha From sBoW to dCoT marginalized encoders for text representation. 1879-1884 2012 CIKM https://doi.org/10.1145/2396761.2398536 conf/cikm/2012 db/conf/cikm/cikm2012.html#XuCWS12 Boqing Gong Yuan Shi Fei Sha Kristen Grauman Geodesic flow kernel for unsupervised domain adaptation. 2066-2073 2012 CVPR https://doi.org/10.1109/CVPR.2012.6247911 https://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247911 conf/cvpr/2012 db/conf/cvpr/cvpr2012.html#GongSSG12 Minmin Chen Zhixiang Eddie Xu Kilian Q. Weinberger Fei Sha Marginalized Denoising Autoencoders for Domain Adaptation. 2012 ICML http://icml.cc/2012/papers/416.pdf conf/icml/2012 db/conf/icml/icml2012.html#ChenXWS12 Yuan Shi Fei Sha Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation. 2012 ICML http://icml.cc/2012/papers/566.pdf conf/icml/2012 db/conf/icml/icml2012.html#ShiS12 Dingchao Lu Fei Sha Predicting Likability of Speakers with Gaussian Processes. 2012 INTERSPEECH https://doi.org/10.21437/Interspeech.2012-94 conf/interspeech/2012 db/conf/interspeech/interspeech2012.html#LuS12 286-289 Sung Ju Hwang Kristen Grauman Fei Sha Semantic Kernel Forests from Multiple Taxonomies. 1727-1735 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/d554f7bb7be44a7267068a7df88ddd20-Abstract.html http://papers.nips.cc/paper/4760-semantic-kernel-forests-from-multiple-taxonomies conf/nips/2012 db/conf/nips/nips2012.html#HwangGS12 Dor Kedem Stephen Tyree Kilian Q. Weinberger Fei Sha Gert R. G. Lanckriet Non-linear Metric Learning. 2582-2590 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/43cca4b3de2097b9558efefd0ecc3588-Abstract.html http://papers.nips.cc/paper/4840-non-linear-metric-learning conf/nips/2012 db/conf/nips/nips2012.html#KedemTWSL12 Bin Liu 0004 Yurong Jiang Fei Sha Ramesh Govindan Cloud-enabled privacy-preserving collaborative learning for mobile sensing. 57-70 2012 SenSys https://doi.org/10.1145/2426656.2426663 conf/sensys/2012 db/conf/sensys/sensys2012.html#0004JSG12

Minmin Chen Zhixiang Eddie Xu Kilian Q. Weinberger Fei Sha Marginalized Denoising Autoencoders for Domain Adaptation http://arxiv.org/abs/1206.4683 2012 CoRR abs/1206.4683 db/journals/corr/corr1206.html#abs-1206-4683

Junping Zhang Ben Tan Fei Sha Li He Predicting Pedestrian Counts in Crowded Scenes With Rich and High-Dimensional Features. 1037-1046 2011 12 IEEE Trans. Intell. Transp. Syst. 4 https://doi.org/10.1109/TITS.2011.2132759 db/journals/tits/tits12.html#ZhangTSH11

Matthew E. Taylor Brian Kulis Fei Sha Metric learning for reinforcement learning agents. 777-784 2011 AAMAS http://portal.acm.org/citation.cfm?id=2031728&CFID=54178199&CFTOKEN=61392764 conf/atal/2011 db/conf/atal/aamas2011.html#TaylorKS11 Sung Ju Hwang Fei Sha Kristen Grauman Sharing features between objects and their attributes. 1761-1768 2011 CVPR https://doi.org/10.1109/CVPR.2011.5995543 https://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995543 conf/cvpr/2011 db/conf/cvpr/cvpr2011.html#HwangSG11 Xu Li Fei Sha Application of moment invariants in checking the overall dimension of the head cover. 932-935 2011 EMEIT https://doi.org/10.1109/EMEIT.2011.6023247 conf/emeit/2011 db/conf/emeit/emeit2011.html#LiS11 Geoffrey Zweig Patrick Nguyen Dirk Van Compernolle Kris Demuynck Les E. Atlas Pascal Clark Gregory Sell Meihong Wang Fei Sha Hynek Hermansky Damianos G. Karakos Aren Jansen Samuel Thomas 0001 Sivaram G. S. V. S. Samuel R. Bowman Justine T. Kao Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop. 5044-5047 2011 ICASSP https://doi.org/10.1109/ICASSP.2011.5947490 conf/icassp/2011 db/conf/icassp/icassp2011.html#ZweigNCDACSWSHKJTSBK11 Zhuoliang Kang Kristen Grauman Fei Sha Learning with Whom to Share in Multi-task Feature Learning. 521-528 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/344_icmlpaper.pdf db/conf/icml/icml2011.html#KangGS11 Leslie Cheung Leana Golubchik Fei Sha A Study of Web Services Performance Prediction: A Client's Perspective. 75-84 2011 MASCOTS https://doi.org/10.1109/MASCOTS.2011.66 https://doi.ieeecomputersociety.org/10.1109/MASCOTS.2011.66 conf/mascots/2011 db/conf/mascots/mascots2011.html#CheungGS11 Lawrence K. Saul Chih-Chieh Cheng Fei Sha Online learning of large margin hidden Markov models for automatic speech recognition. 2011 MLSLP https://www.isca-archive.org/mlslp_2011/saul11_mlslp.html conf/mlslp/2011 db/conf/mlslp/mlslp2011.html#SaulCS11 Sung Ju Hwang Kristen Grauman Fei Sha Learning a Tree of Metrics with Disjoint Visual Features. 621-629 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/eed5af6add95a9a6f1252739b1ad8c24-Abstract.html http://papers.nips.cc/paper/4250-learning-a-tree-of-metrics-with-disjoint-visual-features conf/nips/2011 db/conf/nips/nips2011.html#HwangGS11 Meihong Wang Fei Sha Information Theoretical Clustering via Semidefinite Programming. 761-769 AISTATS 2011 conf/aistats/2011 http://proceedings.mlr.press/v15/wang11b/wang11b.pdf db/journals/jmlr/jmlrp15.html#WangS11

Zhixiang Eddie Xu Kilian Q. Weinberger Fei Sha Rapid Feature Learning with Stacked Linear Denoisers http://arxiv.org/abs/1105.0972 2011 CoRR abs/1105.0972 db/journals/corr/corr1105.html#abs-1105-0972

Yuan Shi Yung-Kyun Noh Fei Sha Daniel D. Lee Learning Discriminative Metrics via Generative Models and Kernel Learning http://arxiv.org/abs/1109.3940 2011 CoRR abs/1109.3940 db/journals/corr/corr1109.html#abs-1109-3940

Sriram Sankararaman Fei Sha Jack F. Kirsch Michael I. Jordan Kimmen Sjölander Active site prediction using evolutionary and structural information. 617-624 2010 26 Bioinform. 5 https://doi.org/10.1093/bioinformatics/btq008 https://www.wikidata.org/entity/Q33686362 db/journals/bioinformatics/bioinformatics26.html#SankararamanSKJS10

Chih-Chieh Cheng Fei Sha Lawrence K. Saul Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models. 926-942 2010 4 IEEE J. Sel. Top. Signal Process. 6 https://doi.org/10.1109/JSTSP.2010.2048607 db/journals/jstsp/jstsp4.html#ChengSS10

Kilian Q. Weinberger Fei Sha Lawrence K. Saul Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner]. 146-158 2010 27 IEEE Signal Process. Mag. 3 https://doi.org/10.1109/MSP.2010.936013 db/journals/spm/spm27.html#WeinbergerSS10

Yi Ma Fei Sha Lawrence Carin Gilad Lerman Neil D. Lawrence Invited Talk Abstracts. 2010 AAAI Fall Symposium: Manifold Learning and Its Applications http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/view/2373 conf/aaaifs/2010-6 db/conf/aaaifs/aaaifs2010-06.html#MaSCLL10 Meihong Wang Fei Sha Michael I. Jordan Unsupervised Kernel Dimension Reduction. 2379-2387 2010 NIPS https://proceedings.neurips.cc/paper/2010/hash/afda332245e2af431fb7b672a68b659d-Abstract.html http://papers.nips.cc/paper/4122-unsupervised-kernel-dimension-reduction conf/nips/2010 db/conf/nips/nips2010.html#WangSJ10 Dian Gong Fei Sha Gérard G. Medioni Locally Linear Denoising on Image Manifolds. 265-272 AISTATS 2010 conf/aistats/2010 http://proceedings.mlr.press/v9/gong10a.html db/journals/jmlr/jmlrp9.html#GongSM10 Chih-Chieh Cheng Fei Sha Lawrence K. Saul Large-margin feature adaptation for automatic speech recognition. 87-92 2009 ASRU https://doi.org/10.1109/ASRU.2009.5373320 conf/asru/2009 db/conf/asru/asru2009.html#ChengSS09 Chih-Chieh Cheng Fei Sha Lawrence K. Saul Matrix updates for perceptron training of continuous density hidden Markov models. 153-160 2009 ICML https://doi.org/10.1145/1553374.1553394 conf/icml/2009 db/conf/icml/icml2009.html#ChengSS09 Chih-Chieh Cheng Fei Sha Lawrence K. Saul A fast online algorithm for large margin training of continuous density hidden Markov models. 668-671 2009 INTERSPEECH https://doi.org/10.21437/Interspeech.2009-233 conf/interspeech/2009 db/conf/interspeech/interspeech2009.html#ChengSS09 Nilesh N. Dalvi Philip Bohannon Fei Sha Robust web extraction: an approach based on a probabilistic tree-edit model. 335-348 2009 SIGMOD Conference https://doi.org/10.1145/1559845.1559882 conf/sigmod/2009 db/conf/sigmod/sigmod2009.html#DalviBS09 Simon Lacoste-Julien Fei Sha Michael I. Jordan DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification. 897-904 2008 NIPS https://proceedings.neurips.cc/paper/2008/hash/7b13b2203029ed80337f27127a9f1d28-Abstract.html http://papers.nips.cc/paper/3599-disclda-discriminative-learning-for-dimensionality-reduction-and-classification conf/nips/2008 db/conf/nips/nips2008.html#Lacoste-JulienSJ08

Fei Sha Yuanqing Lin Lawrence K. Saul Daniel D. Lee Multiplicative Updates for Nonnegative Quadratic Programming. 2004-2031 2007 19 Neural Comput. 8 https://doi.org/10.1162/neco.2007.19.8.2004 https://www.wikidata.org/entity/Q43434410 db/journals/neco/neco19.html#ShaLSL07

Fei Sha Lawrence K. Saul Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models. 313-316 2007 ICASSP (4) https://doi.org/10.1109/ICASSP.2007.366912 conf/icassp/2007 db/conf/icassp/icassp2007.html#ShaS07 Andrea Frome Yoram Singer Fei Sha Jitendra Malik Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. 1-8 2007 ICCV https://doi.org/10.1109/ICCV.2007.4408839 https://doi.ieeecomputersociety.org/10.1109/ICCV.2007.4408839 conf/iccv/2007 db/conf/iccv/iccv2007.html#FromeSSM07 Jens Nilsson 0002 Fei Sha Michael I. Jordan Regression on manifolds using kernel dimension reduction. 697-704 2007 conf/icml/2007 ICML https://doi.org/10.1145/1273496.1273584 db/conf/icml/icml2007.html#NilssonSJ07 Fei Sha Y. Albert Park Lawrence K. Saul Multiplicative Updates for L1-Regularized Linear and Logistic Regression. 13-24 2007 conf/ida/2007 IDA https://doi.org/10.1007/978-3-540-74825-0_2 db/conf/ida/ida2007.html#ShaPS07 Fei Sha Lawrence K. Saul Large Margin Gaussian Mixture Modeling for Phonetic Classification and Recognition. 265-268 2006 ICASSP (1) https://doi.org/10.1109/ICASSP.2006.1660008 conf/icassp/2006 db/conf/icassp/icassp2006.html#ShaS06 Fei Sha Lawrence K. Saul Large Margin Hidden Markov Models for Automatic Speech Recognition. 1249-1256 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/f0b1d5879866f2c2eba77f39993d1184-Abstract.html http://papers.nips.cc/paper/3051-large-margin-hidden-markov-models-for-automatic-speech-recognition db/conf/nips/nips2006.html#ShaS06 Kilian Q. Weinberger Fei Sha Qihui Zhu Lawrence K. Saul Graph Laplacian Regularization for Large-Scale Semidefinite Programming. 1489-1496 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/0a5c79b1eaf15445da252ada718857e9-Abstract.html http://papers.nips.cc/paper/3060-graph-laplacian-regularization-for-large-scale-semidefinite-programming db/conf/nips/nips2006.html#WeinbergerSZS06 Lawrence K. Saul Kilian Q. Weinberger Fei Sha Jihun Ham Daniel D. Lee Spectral Methods for Dimensionality Reduction. 292-308 2006 Semi-Supervised Learning https://doi.org/10.7551/mitpress/9780262033589.003.0016 books/mit/06/CSZ2006 db/books/collections/CSZ2006.html#SaulWSHL06 Fei Sha Lawrence K. Saul Analysis and extension of spectral methods for nonlinear dimensionality reduction. 784-791 2005 conf/icml/2005 ICML https://doi.org/10.1145/1102351.1102450 db/conf/icml/icml2005.html#ShaS05 Fei Sha John Ashley Burgoyne Lawrence K. Saul Multiband statistical learning for f0 estimation in speech. 661-664 2004 ICASSP (5) https://doi.org/10.1109/ICASSP.2004.1327197 conf/icassp/2004 db/conf/icassp/icassp2004.html#ShaBS04 Kilian Q. Weinberger Fei Sha Lawrence K. Saul Learning a kernel matrix for nonlinear dimensionality reduction. 2004 conf/icml/2004 ICML https://doi.org/10.1145/1015330.1015345 db/conf/icml/icml2004.html#WeinbergerSS04 Fei Sha Lawrence K. Saul Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization. 2004 conf/nips/2004 NIPS https://proceedings.neurips.cc/paper/2004/hash/e113bb92c69391dd39e2488f9f588382-Abstract.html http://papers.nips.cc/paper/2631-real-time-pitch-determination-of-one-or-more-voices-by-nonnegative-matrix-factorization db/conf/nips/nips2004.html#ShaS04 1233-1240 Fei Sha Lawrence K. Saul Daniel D. Lee Multiplicative Updates for Large Margin Classifiers. 188-202 https://doi.org/10.1007/978-3-540-45167-9_15 2003 conf/colt/2003 COLT db/conf/colt/colt2003.html#ShaSL03 Lawrence K. Saul Fei Sha Daniel D. Lee Statistical signal processing with nonnegativity constraints. 2003 INTERSPEECH https://doi.org/10.21437/Eurospeech.2003-343 conf/interspeech/2003 db/conf/interspeech/interspeech2003.html#SaulSL03 1001-1004 Fei Sha Fernando C. N. Pereira Shallow Parsing with Conditional Random Fields. 2003 conf/naacl/2003 HLT-NAACL https://aclanthology.org/N03-1028/ db/conf/naacl/naacl2003.html#ShaP03 Fei Sha Lawrence K. Saul Daniel D. Lee Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines. 1041-1048 2002 conf/nips/2002 NIPS https://proceedings.neurips.cc/paper/2002/hash/dc16622ddc767e6bc1200fe5df2fbdfb-Abstract.html http://papers.nips.cc/paper/2280-multiplicative-updates-for-nonnegative-quadratic-programming-in-support-vector-machines db/conf/nips/nips2002.html#ShaSL02 Fei Sha Georges Gardarin Laurent Némirovski A Semi-Structured Data Cartridge for Relational Databases. 192 2000 conf/icde/2000 ICDE https://doi.org/10.1109/ICDE.2000.839406 https://doi.ieeecomputersociety.org/10.1109/ICDE.2000.839406 db/conf/icde/icde2000.html#ShaGN00 Fei Sha Georges Gardarin Laurent Némirovski Managing Semistructured Data in Object-Relational DBMS. 101-115 1999 conf/bda/1999 Proc. 15èmes Journées Bases de Données Avancées, BDA db/conf/bda/bda99.html#ShaGN99 https://doi.org/10.1007/3-540-47866-3_34 Georges Gardarin Fei Sha Tuyet-Tram Dang-Ngoc XML-based Components for Federating Multiple Heterogeneous Data Sources. 506-519 ER/1999/P506.pdf 1999 conf/er/99 ER db/conf/er/er99.html#GardarinSD99 conf/icdt/Abiteboul97 conf/pods/Buneman97 conf/sigmod/ChristophidesACS94 www/org/w3/TR/NOTE-xml-ql conf/sigmod/DeutschFS99 ... conf/vldb/FankhauserGLMT98 journals/sigmod/FernandezFLS97 conf/icde/FernandezS98 conf/vldb/GoldmanW97 conf/webdb/GoldmanW98 ... journals/sigmod/McHughAGQW97 conf/icde/NestorovUWC97 conf/icde/PapakonstantinouGW95 ... Luc Bouganim Tatiana Chan-Sine-Ying Tuyet-Tram Dang-Ngoc Jean-Luc Darroux Georges Gardarin Fei Sha Miro Web: Integrating Multiple Data Sources through Semistructured Data Types. 750-753 1999 VLDB db/conf/vldb/vldb99.html#BouganimCDDGS99 conf/vldb/99 http://www.vldb.org/conf/1999/P75.pdf ... conf/icdcs/TomasicRV96 conf/ride/CareyHSACFFLNPTWW95 conf/vldb/LevyRO96 conf/ipsj/ChawatheGHPUW94 conf/sigmod/CluetDSS98 conf/vldb/FankhauserGLMT98 www/org/w3/TR/NOTE-xml-ql conf/vldb/GoldmanW97 conf/icde/PapakonstantinouGW95 Georges Gardarin Fei Sha Using Conceptual Modeling and Intelligent Agents to Integrate Semi-structured Documents in Federated Databases. 87-99 https://doi.org/10.1007/3-540-48854-5_8 er97/ER97-P087.pdf 1997 conf/er/1997cm Conceptual Modeling db/conf/er/cm97.html#GardarinS97 Georges Gardarin Fei Sha Zhao-Hui Tang Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System. 37-56 1996 conf/bda/1996 BDA db/conf/bda/bda1996.html#GardarinST96 conf/vldb/96 Georges Gardarin Fei Sha Zhao-Hui Tang Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System. 378-389 1996 VLDB db/conf/vldb/vldb96.html#GardarinST96 http://www.vldb.org/conf/1996/P378.PDF journals/computer/AhmedSDKKLRS91 conf/ride/AnderssonDSYTY93 conf/dbpl/BancilhonCD89 journals/computer/BukhresCDEP93 books/ph/BukhresE96 conf/dasfaa/BancilhonF95 conf/pos/BertinoF92 books/mk/Cattell93 conf/sigmod/CareyDN93 conf/vldb/DuKS92 ... ... ... conf/vldb/FrohnLU94 ... conf/vldb/GardarinGT95 conf/sigmod/KellerGM91 conf/sigmod/KiferKS92 conf/vldb/LanzelotteVZ93 journals/ijcis/ManolaHGHB92 ... conf/coopis/RamfosFFS95 journals/tods/Shapiro86 journals/tods/Shipman81 conf/sigmetrics/Swami89 conf/cikm/Widom95 ... ...

Tülin Atmaca Guy Pujolle Fei Sha Performance Analysis of an Access Control Strategy in Integrated Networks. 421-434 1992 24 Comput. Networks ISDN Syst. 5 db/journals/cn/cn24.html#AtmacaPS92 https://doi.org/10.1016/0169-7552(92)90088-8

Tarek F. Abdelzaher Nikolaus A. Adams Shreya Agrawal Melissa Ailem Joshua Ainslie Maximilian Alber Kelsey R. Allen John Anderson John R. AndersonJohn Robert Anderson André Araújo 0001 Victor Armegioiu Sébastien M. R. Arnold Les E. Atlas Tülin Atmaca Nora Ayanian Maria-Florina Balcan Xuchan Bao Ricardo Baptista Luke Barrington Tamer Basar Peter W. Battaglia Filipe de Avila Belbute-Peres Aaron Bell Aurélien Bellet Yoshua Bengio Deniz A. Bezgin Philip Bohannon Wendelin BöhmerWendelin Boehmer Anudhyan Boral Zied Ben Bouallegue Luc Bouganim Samuel R. Bowman Cynthia Breazeal Andreas Breitenmoser Carla Bromberg Spencer H. Bryngelson Aaron B. Buhendwa John Ashley Burgoyne Zhimin Cao Lawrence Carin Rob Carver Lluís Castrejón Sheide Chammas Felipe C. ChamoneFelipe Cadar Tatiana Chan-Sine-Ying Soravit Changpinyo Matthew Chantry Wei-Lun Chao Jiacheng Chen Liyu Chen Minmin Chen Yifan ChenYi-Fan Chen Chih-Chieh Cheng Leslie Cheung Chao-Kai Chiang Caitlyn Clabaugh Pascal Clark William W. Cohen Michael Collins 0001 Dirk Van Compernolle Robby Costales Runpeng Cui Andrew M. Dai Nilesh N. Dalvi Tuyet-Tram Dang-Ngoc Jean-Luc Darroux Ishita Dasgupta 0001 Simon DeDeo Kris Demuynck Zhiwei Deng Pascal Denis Timo I. Denk Jana Diesner Suhas N. Diggavi Nan Ding 0002 Chris Donahue Peter D. DübenPeter Dueben Ilya Eckstein Tiwalayo Eisape Linxi Fan Vittorio Ferrari Christopher Fifty Marc FinziMarc Anton Finzi Nicholas FitzGerald Andrea Frome Kun Fu 0002 Aram Galstyan Sudeep Gandhe Deepak Ganesan Alireza Bagheri Garakani Georges Gardarin Animesh Garg Dan Garrette Arushi Goel Leana Golubchik Boqing Gong Dian Gong Sebastian Goodman Juraj Gottweis Ramesh Govindan Kristen Grauman Chuan Guo 0001 Dong Guo Jihun HammJihun Ham Wei Han Li He Ruining He Hynek Hermansky Jonathan Herzig Stephan Hoyer Daniel Hsu 0001Daniel J. Hsu Hexiang Hu Tao Hu Nan Hua Gao Huang 0001 Qingqing Huang Sung Ju Hwang Eugene Ie Christian Igel Shariq Iqbal Vihan Jain Aren Jansen Dinesh Jayaraman Susmit Jha Yuning Jiang 0001 Yurong Jiang Junqi Jin Michiel de Jong Michael I. Jordan Alexandros Kalousis Bhargav Kanagal Zhuoliang Kang Justine T. Kao Damianos G. Karakos Dor Kedem Jaechul Kim Yoon Kim Pieter-Jan Kindermans Brian Kingsbury Jack F. Kirsch Vladlen Koltun Jan Kremer Volodymyr Kuleshov Brian Kulis Sayali Kulkarni Matt J. Kusner Dima Kuzmin Simon Lacoste-Julien Shiyi Lan Gert R. G. Lanckriet Ian Langmore Samuel Lanthaler Neil D. Lawrence Pierre L'Ecuyer Daniel D. Lee Jin Joo Lee Joonseok Lee Tancrède Lepoint Gilad Lerman Tomer Levinboim Judith Yue Li Lizao Li Wenzhe Li Xu Li Ying Li Yingyu Liang Yuanqing Lin Tal Linzen Bin Liu 0004 Ce Liu 0001 Chenxi Liu 0001 Kuan Liu Ignacio Lopez-Gomez James Lottes Dingchao Lu Zhiyun Lu Yi Ma Jitendra Malik Junhua Mao Stéphane Marchand-Maillet Benjamin M. Marlin Maja J. Mataric Avner May Gérard G. Medioni Thomas Mensink Alexander Merose Dominik L. Michels Siddhartha Mishra Roberto Molinaro Greg Mori Klaus-Robert Müller Klara Nahrstedt Laurent Némirovski Patrick Nguyen David M. Nicol Jens Nilsson 0002 Yung-Kyun Noh Pawel Krzysztof Nowak Ruoming Pang Y. Albert Park Jeffrey B. Parker Panupong Pasupat Bei Peng 0001 Nanyun Peng 0001 Fernando Pereira 0003Fernando C. N. Pereira Jackson Petty Philip Pham Michael Picheny Emily Pitler Christian Potthast Guy Pujolle Linlu Qiu Gisele Ragusa Ragunathan RajkumarRaj Rajkumar Bogdan Raonic Stephan Rasp 0001 Anirudh Ravula Tobias Rohner Stephen Russell 0001 Tyler Russell Sivaram G. S. V. S. Alvaro Sanchez-Gonzalez Sumit Sanghai Sriram Sankararaman Themistoklis P. Sapsis Lawrence K. Saul Yair Schiff Steffen J. Schmidt Tapio Schneider Kristof Schütt Gregory Sell Ozan Sener Sanjit A. Seshia Shantanu Shahane Peter Shaw 0004 Prashant J. Shenoy Tianze Shi Yuan Shi Jake Silberg Yoram Singer Jared Sisk Kimmen Sjölander Justin Solomon 0001 Benedikt Barthel Sorensen Radu Soricut Mani Srivastava 0001Mani B. Srivastava Greg Ver Steeg Sjoerd van Steenkiste Kun Su Gaurav S. Sukhatme Ke Sun 0001 Yu Sun 0020 Ananthram Swami Paulo Tabuada Ben Tan ZhaoHui TangZhao-Hui Tang Matthew E. Taylor Michael Henry Tessler Nitya Thakkar Samuel Thomas 0001 Kristina Toutanova Don Towsley Stephen Tyree Jasper R. R. Uijlings Nitin H. Vaidya Venugopal V. Veeravalli Mauro Verzetti Carl Vondrick Zhong Yi Wan Jun Wang 0017 Meihong Wang Qing Wang 0032 Shujuan Wang Yu Wang Zi Wang Kilian Q. Weinberger Shimon Whiteson Andrew Gordon Wilson Christian Schröder de WittChristian A. Schröder de Witt Zhixiang Eddie Xu Yiming Yan Vivian Yang Han-Jia Ye Jiahui Yu Rose Yu Alan L. Yuille Mert Yüksekgönül Yury Zemlyanskiy Leonardo Zepeda-Núñez De-Chuan Zhan Bowen Zhang 0002 Changshui Zhang Junping Zhang Ke Zhang 0028 Ruizhi Zhang 0001 Ming Zhao Guang-Tong Zhou Howard Zhou Jin Peng Zhou Qihui Zhu Wan Zhu Wang Zhu 0001 James Zou 0001 Geoffrey Zweig