Quasi-Monte Carlo Beyond Hardy-Krause - Nikhil Bansal; Haotian Jiang (Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2025, New Orleans, LA, USA, January 12-15, 2025, 2025)

MITracker: Multi-View Integration for Visual Object Tracking - Mengjie Xu; Yitao Zhu; Haotian Jiang; Jiaming Li; Zhenrong Shen; Sheng Wang; Haolin Huang; Xinyu Wang; Qing Yang; Han Zhang; Qian Wang (CoRR, 2025)

Pathology Image Restoration via Mixture of Prompts - Jiangdong Cai; Yan Chen; Zhenrong Shen; Haotian Jiang; Honglin Xiong; Kai Xuan; Lichi Zhang; Qian Wang (CoRR, 2025)

An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction - Fengxia He; Chuansheng Zheng; Chao Pang; Chengying Zhao; Mingyang Yang; Yunpeng Zhu; Zhong Luo; Haitao Luo; Lei Li; Haotian Jiang (Sensors, 2024)

Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space - Jiquan Ma; Chengdong Deng; Geng Chen; Haotian Jiang; Shijie Huang; Jaeil Kim; Xuyun Wen; Dinggang Shen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model - Jiquan Ma; Yihang Gao; Haotian Jiang; Jing Gu; Diliara Khairullina; Hui Cui; Geng Chen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Differentially Private Synthetic Data via Foundation Model APIs 2: Text - Chulin Xie; Zinan Lin; Arturs Backurs; Sivakanth Gopi; Da Yu; Huseyin A. Inan; Harsha Nori; Haotian Jiang; Huishuai Zhang; Yin Tat Lee; Bo Li; Sergey Yekhanin (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise - Haotian Jiang; Shu Zhang; Xuyun Wen; Hui Cui; Jun Lu; Islem Rekik; Jiquan Ma; Geng Chen (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Multi-Label MambaOut for Quality Assessment of Low-Field Pediatric Brain MR Images - Yueyue Zhu; Haotian Jiang; Rongqing Cai; Geng Chen (Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance - First MICCAI Challenge, LISA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

Approximation Rate of the Transformer Architecture for Sequence Modeling - Haotian Jiang; Qianxiao Li (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Convex Minimization with Integer Minima in Õ(n\(^4\)) Time - Haotian Jiang; Yin Tat Lee; Zhao Song; Lichen Zhang (Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, SODA 2024, Alexandria, VA, USA, January 7-10, 2024, 2024)

Differentially Private Synthetic Data via Foundation Model APIs 2: Text - Chulin Xie; Zinan Lin; Arturs Backurs; Sivakanth Gopi; Da Yu; Huseyin A. Inan; Harsha Nori; Haotian Jiang; Huishuai Zhang; Yin Tat Lee; Bo Li; Sergey Yekhanin (CoRR, 2024)

Quasi-Monte Carlo Beyond Hardy-Krause - Nikhil Bansal; Haotian Jiang (CoRR, 2024)

A Geometric Perspective on the Injective Norm of Sums of Random Tensors - Afonso S. Bandeira; Sivakanth Gopi; Haotian Jiang; Kevin Lucca; Thomas Rothvoss (CoRR, 2024)

Convex Optimization Over Integer Points - Haotian Jiang (University of Washington, USA, 2023)

Cross-Technology Communication for the Internet of Things: A Survey - Yuan He; Xiuzhen Guo; Xiaolong Zheng; Zihao Yu; Jia Zhang; Haotian Jiang; Xin Na; Jiacheng Zhang (ACM Comput. Surv., 2023)

Minimizing Convex Functions with Rational Minimizers - Haotian Jiang (J. ACM, 2023)

Sparse Submodular Function Minimization - Andrei Graur; Haotian Jiang; Aaron Sidford (64th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2023, Santa Cruz, CA, USA, November 6-9, 2023, 2023)

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer - Junqing Yang; Haotian Jiang; Tewodros Tassew; Peng Sun; Jiquan Ma; Yong Xia; Pew-Thian Yap; Geng Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

Parallel Submodular Function Minimization - Deeparnab Chakrabarty; Andrei Graur; Haotian Jiang; Aaron Sidford (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank - Nikhil Bansal; Haotian Jiang; Raghu Meka (Proceedings of the 55th Annual ACM Symposium on Theory of Computing, STOC 2023, Orlando, FL, USA, June 20-23, 2023, 2023)

A Brief Survey on the Approximation Theory for Sequence Modelling - Haotian Jiang; Qianxiao Li; Zhong Li; Shida Wang (CoRR, 2023)

Convex Minimization with Integer Minima in Õ(n\(^4\)) Time - Haotian Jiang; Yin Tat Lee; Zhao Song; Lichen Zhang (CoRR, 2023)

Learning across Data Owners with Joint Differential Privacy - Yangsibo Huang; Haotian Jiang; Daogao Liu; Mohammad Mahdian; Jieming Mao; Vahab Mirrokni (CoRR, 2023)

Approximation theory of transformer networks for sequence modeling - Haotian Jiang; Qianxiao Li (CoRR, 2023)

Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks - Haotian Jiang; Qianxiao Li (CoRR, 2023)

Parallel Submodular Function Minimization - Deeparnab Chakrabarty; Andrei Graur; Haotian Jiang; Aaron Sidford (CoRR, 2023)

Sparse Submodular Function Minimization - Andrei Graur; Haotian Jiang; Aaron Sidford (CoRR, 2023)

Efficient Ambient LoRa Backscatter With On-Off Keying Modulation - Xiuzhen Guo; Longfei Shangguan; Yuan He; Jia Zhang; Haotian Jiang; Awais Ahmad Siddiqi; Yunhao Liu (IEEE/ACM Trans. Netw., 2022)

Taming the Errors in Cross-Technology Communication: A Probabilistic Approach - Xiuzhen Guo; Yuan He; Jia Zhang; Haotian Jiang; Zihao Yu; Xin Na (ACM Trans. Sens. Networks, 2022)

Link Quality Estimation of Cross-Technology Communication: The Case with Physical-Level Emulation - Jia Zhang; Xiuzhen Guo; Haotian Jiang; Xiaolong Zheng; Yuan He (ACM Trans. Sens. Networks, 2022)

Improved Lower Bounds for Submodular Function Minimization - Deeparnab Chakrabarty; Andrei Graur; Haotian Jiang; Aaron Sidford (63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022, Denver, CO, USA, October 31 - November 3, 2022, 2022)

Smoothed Analysis of the Komlós Conjecture - Nikhil Bansal; Haotian Jiang; Raghu Meka; Sahil Singla; Makrand Sinha (49th International Colloquium on Automata, Languages, and Programming, ICALP 2022, July 4-8, 2022, Paris, France, 2022)

On the approximation properties of recurrent encoder-decoder architectures - Zhong Li; Haotian Jiang; Qianxiao Li (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing - Nikhil Bansal; Haotian Jiang; Raghu Meka; Sahil Singla; Makrand Sinha (13th Innovations in Theoretical Computer Science Conference, ITCS 2022, January 31 - February 3, 2022, Berkeley, CA, USA, 2022)

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data - Geng Chen; Haotian Jiang; Jiannan Liu; Jiquan Ma; Hui Cui; Yong Xia; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I, 2022)

Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity - Sally Dong; Haotian Jiang; Yin Tat Lee; Swati Padmanabhan; Guanghao Ye (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems - Xiuzhen Guo; Longfei Shangguan; Yuan He; Nan Jing; Jiacheng Zhang; Haotian Jiang; Yunhao Liu (19th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2022, Renton, WA, USA, April 4-6, 2022, 2022)

A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound - Haotian Jiang; Victor Reis (5th Symposium on Simplicity in Algorithms, SOSA@SODA 2022, Virtual Conference, January 10-11, 2022, 2022)

A new framework for matrix discrepancy: partial coloring bounds via mirror descent - Daniel Dadush; Haotian Jiang; Victor Reis (STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20 - 24, 2022, 2022)

Cross-Technology Communication for the Internet of Things: A Survey - Yuan He; Xiuzhen Guo; Xiaolong Zheng; Zihao Yu; Jia Zhang; Haotian Jiang; Xin Na; Jiacheng Zhang (CoRR, 2022)

Smoothed Analysis of the Komlós Conjecture - Nikhil Bansal; Haotian Jiang; Raghu Meka; Sahil Singla; Makrand Sinha (CoRR, 2022)

Low-cost Relevance Generation and Evaluation Metrics for Entity Resolution in AI - Venkat Varada; Mina Ghashami; Jitesh Mehta; Haotian Jiang; Kurtis Voris (CoRR, 2022)

Improved Lower Bounds for Submodular Function Minimization - Deeparnab Chakrabarty; Andrei Graur; Haotian Jiang; Aaron Sidford (CoRR, 2022)

Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity - Sally Dong; Haotian Jiang; Yin Tat Lee; Swati Padmanabhan; Guanghao Ye (CoRR, 2022)

Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank - Nikhil Bansal; Haotian Jiang; Raghu Meka (CoRR, 2022)

Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems - Xiuzhen Guo; Longfei Shangguan; Yuan He; Nan Jing; Jiacheng Zhang; Haotian Jiang; Yunhao Liu (CoRR, 2022)

Efficient Ambient LoRa Backscatter with On-Off Keying Modulation - Xiuzhen Guo; Longfei Shangguan; Yuan He; Jia Zhang; Haotian Jiang; Awais Ahmad Siddiqi; Yunhao Liu (CoRR, 2022)

Distributed Deep Learning Optimized System over the Cloud and Smart Phone Devices - Haotian Jiang; James Starkman; Yu-Ju Lee; Huan Chen; Xiaoye Qian; Ming-Chun Huang (IEEE Trans. Mob. Comput., 2021)

WIDE: Physical-Level CTC via Digital Emulation - Yuan He; Xiuzhen Guo; Jia Zhang; Haotian Jiang (IEEE/ACM Trans. Netw., 2021)

Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks - Haotian Jiang; Qianxiao Li (Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part II, 2021)

Approximation Theory of Convolutional Architectures for Time Series Modelling - Haotian Jiang; Zhong Li; Qianxiao Li (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Sense Me on the Ride: Accurate Mobile Sensing over a LoRa Backscatter Channel - Haotian Jiang; Jiacheng Zhang; Xiuzhen Guo; Yuan He (SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15 - 17, 2021, 2021)

Minimizing Convex Functions with Integral Minimizers - Haotian Jiang (Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, SODA 2021, Virtual Conference, January 10 - 13, 2021, 2021)

Online Discrepancy Minimization for Stochastic Arrivals - Nikhil Bansal; Haotian Jiang; Raghu Meka; Sahil Singla; Makrand Sinha (Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, SODA 2021, Virtual Conference, January 10 - 13, 2021, 2021)

Approximation Theory of Convolutional Architectures for Time Series Modelling - Haotian Jiang; Zhong Li; Qianxiao Li (CoRR, 2021)

A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound - Haotian Jiang; Victor Reis (CoRR, 2021)

A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent - Daniel Dadush; Haotian Jiang; Victor Reis (CoRR, 2021)

Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing - Nikhil Bansal; Haotian Jiang; Raghu Meka; Sahil Singla; Makrand Sinha (CoRR, 2021)

A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics - T.-H. Hubert Chan; Haotian Jiang; Shaofeng H.-C. Jiang (ACM Trans. Algorithms, 2020)

A Faster Interior Point Method for Semidefinite Programming - Haotian Jiang; Tarun Kathuria; Yin Tat Lee; Swati Padmanabhan; Zhao Song (61st IEEE Annual Symposium on Foundations of Computer Science, FOCS 2020, Durham, NC, USA, November 16-19, 2020, 2020)

Link Quality Estimation of Cross-Technology Communication - Jia Zhang; Xiuzhen Guo; Haotian Jiang; Xiaolong Zheng; Yuan He (39th IEEE Conference on Computer Communications, INFOCOM 2020, Toronto, ON, Canada, July 6-9, 2020, 2020)

Algorithms and Adaptivity Gaps for Stochastic k-TSP - Haotian Jiang; Jian Li; Daogao Liu; Sahil Singla (11th Innovations in Theoretical Computer Science Conference, ITCS 2020, January 12-14, 2020, Seattle, Washington, USA, 2020)

Aloba: rethinking ON-OFF keying modulation for ambient LoRa backscatter - Xiuzhen Guo; Longfei Shangguan; Yuan He; Jia Zhang; Haotian Jiang; Awais Ahmad Siddiqi; Yunhao Liu (SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, Virtual Event, Japan, November 16-19, 2020, 2020)

An improved cutting plane method for convex optimization, convex-concave games, and its applications - Haotian Jiang; Yin Tat Lee; Zhao Song; Sam Chiu-wai Wong (Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020, 2020)

Online vector balancing and geometric discrepancy - Nikhil Bansal; Haotian Jiang; Sahil Singla; Makrand Sinha (Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020, 2020)

An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications - Haotian Jiang; Yin Tat Lee; Zhao Song; Sam Chiu-wai Wong (CoRR, 2020)

Minimizing Convex Functions with Integral Minimizers - Haotian Jiang (CoRR, 2020)

Online Discrepancy Minimization for Stochastic Arrivals - Nikhil Bansal; Haotian Jiang; Raghu Meka; Sahil Singla; Makrand Sinha (CoRR, 2020)

A Faster Interior Point Method for Semidefinite Programming - Haotian Jiang; Tarun Kathuria; Yin Tat Lee; Swati Padmanabhan; Zhao Song (CoRR, 2020)

Delay asymptotics and bounds for multitask parallel jobs - Weina Wang; Mor Harchol-Balter; Haotian Jiang; Alan Scheller-Wolf; R. Srikant (Queueing Syst. Theory Appl., 2019)

Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart - Haotian Jiang; Mustafa Coskun; Alaa Badokhon; Menghan Liu; Ming-Chun Huang (IEEE Trans. Affect. Comput., 2019)

The Smart Insole: A Pilot Study of Fall Detection - Xiaoye Qian; Haoyou Cheng; Diliang Chen; Quan Liu; Huan Chen; Haotian Jiang; Ming-Chun Huang (Body Area Networks. Smart IoT and Big Data for Intelligent Health Management - 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings, 2019)

The Markovian Price of Information - Anupam Gupta; Haotian Jiang; Ziv Scully; Sahil Singla (Integer Programming and Combinatorial Optimization - 20th International Conference, IPCO 2019, Ann Arbor, MI, USA, May 22-24, 2019, Proceedings, 2019)

WIDE: physical-level CTC via digital emulation - Xiuzhen Guo; Yuan He; Jia Zhang; Haotian Jiang (Proceedings of the 18th International Conference on Information Processing in Sensor Networks, IPSN 2019, Montreal, QC, Canada, April 16-18, 2019, 2019)

Near-optimal Repair of Reed-Solomon Codes with Low Sub-packetization - Venkatesan Guruswami; Haotian Jiang (IEEE International Symposium on Information Theory, ISIT 2019, Paris, France, July 7-12, 2019, 2019)

The Markovian Price of Information - Anupam Gupta; Haotian Jiang; Ziv Scully; Sahil Singla (CoRR, 2019)

Near-optimal Repair of Reed-Solomon Codes with Low Sub-packetization - Venkatesan Guruswami; Haotian Jiang (CoRR, 2019)

Online Geometric Discrepancy for Stochastic Arrivals with Applications to Envy Minimization - Haotian Jiang; Janardhan Kulkarni; Sahil Singla (CoRR, 2019)

Algorithms and Adaptivity Gaps for Stochastic k-TSP - Haotian Jiang; Jian Li; Daogao Liu; Sahil Singla (CoRR, 2019)

Online Vector Balancing and Geometric Discrepancy - Nikhil Bansal; Haotian Jiang; Sahil Singla; Makrand Sinha (CoRR, 2019)

Food Nutrition Visualization on Google Glass: Design Tradeoff and Field Evaluation - Haotian Jiang; James Starkman; Menghan Liu; Ming-Chun Huang (IEEE Consumer Electron. Mag., 2018)

Delay Asymptotics and Bounds for Multi-Task Parallel Jobs - Weina Wang; Mor Harchol-Balter; Haotian Jiang; Alan Scheller-Wolf; R. Srikant (SIGMETRICS Perform. Evaluation Rev., 2018)

Does background really matter? Worker activity recognition in unconstrained construction environment - Haotian Jiang; Yi Cai; Xiao Zeng; Ming-Chun Huang (15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018, Las Vegas, NV, USA, March 4-7, 2018, 2018)

Online learning classifier based behavioral biometrie authentication - Yi Cai; Haotian Jiang; Diliang Chen; Ming-Chun Huang (15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018, Las Vegas, NV, USA, March 4-7, 2018, 2018)

A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics - T.-H. Hubert Chan; Haotian Jiang; Shaofeng H.-C. Jiang (26th Annual European Symposium on Algorithms, ESA 2018, August 20-22, 2018, Helsinki, Finland, 2018)

Risk Factors Identification for Work-Related Musculoskeletal Disorders with Wearable and Connected Gait Analytics System - Diliang Chen; Jia Chen; Haotian Jiang; Ming-Chun Huang (Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Philadelphia, PA, USA, July 17-19, 2017, 2017)

Practical Algorithms for Best-K Identification in Multi-Armed Bandits - Haotian Jiang; Jian Li; Mingda Qiao (CoRR, 2017)

Asymptotic response time analysis for multi-task parallel jobs - Weina Wang; Mor Harchol-Balter; Haotian Jiang; Alan Scheller-Wolf; R. Srikant (CoRR, 2017)

A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics - T.-H. Hubert Chan; Haotian Jiang; Shaofeng H.-C. Jiang (CoRR, 2017)

Cooperative target searching and tracking via UCT with probability distribution model - Ruoxi Qin; Tian Wang; Haotian Jiang; Qianhong Yan; Weikang Wang; Hichem Snoussi (2016 IEEE International Conference on Digital Signal Processing, DSP 2016, Beijing, China, October 16-18, 2016, 2016)

Two Stage Optimization with Recourse and Revocation - Haotian Jiang (CoRR, 2016)

An Attempt to Design a Better Algorithm for the Uncapacitated Facility Location Problem - Haotian Jiang (CoRR, 2016)

Acu Glass: Quantifying Acupuncture Therapy using Google Glass - Haotian Jiang; James Starkman; Chia-Hung Kuo; Ming-Chun Huang (10th EAI International Conference on Body Area Networks, BODYNETS 2015, Sydney, Australia, September 28-30, 2015, 2015)