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Bo Wu 0018
Person information
- affiliation: MIT-IBM Watson AI Lab, Cambridge, MA, USA
- affiliation (former): Columbia University, NY, USA
- affiliation (PhD 2017): Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Other persons with the same name
- Bo Wu — disambiguation page
- Bo Wu 0001 — Google (and 2 more)
- Bo Wu 0002 — Colorado School of Mines, Golden, CA, USA
- Bo Wu 0003 — Nanjing University of Finance and Economics, Nanjing, China
- Bo Wu 0004 — Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong
- Bo Wu 0005 — University of Texas at Austin, Institute for Computational Engineering and Sciences, TX, USA (and 1 more)
- Bo Wu 0006 — Huazhong University of Science and Technology, Wuhan, China
- Bo Wu 0007 — Tokyo University of Technology, School of Computer Science, Hachioji, Japan (and 1 more)
- Bo Wu 0008 — Yelp, San Francisco, CA, USA (and 1 more)
- Bo Wu 0009 — University of Texas at Dallas, Texas Analog Center of Excellence, Richardson, TX, USA (and 1 more)
- Bo Wu 0010 — Amazon, Greenville, SC, USA (and 1 more)
- Bo Wu 0011 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China (and 1 more)
- Bo Wu 0012 — Peking University, Beijing, China
- Bo Wu 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Bo Wu 0014 — Harbin University of Science and Technology, China
- Bo Wu 0015 — Zhejiang Normal University, Jinhua, China
- Bo Wu 0016 — Capital Medical University, Beijing, China (and 1 more)
- Bo Wu 0017 — Hebei Iron & Steel Group Co. Ltd, China
- Bo Wu 0019 — Jiangxi Normal University, Nanchang, China (and 2 more)
- Bo Wu 0020 — National University of Defense Technology, Changsha, China
- Bo Wu 0021 — Beihang University, State Key Lab of Software Development Environment, Beijing, China
- Bo Wu 0022 — China Medical University, First Hospital, Department of Anal and Rectal Diseases, Shenyang, China
- Bo Wu 0023 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Bo Wu 0024 — Jinan University, Big Data Decision Institute, Guangzhou, China (and 1 more)
- Bo Wu 0025 — University of Grenoble, France
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2020 – today
- 2024
- [j6]Xiao-Yang Liu, Qifan Huang, Xiaochen Han, Bo Wu, Linghe Kong, Anwar Walid, Xiaodong Wang:
Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13312-13326 (2024) - [c31]Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang:
Selective Prompting Tuning for Personalized Conversations with LLMs. ACL (Findings) 2024: 16212-16226 - [i19]Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
STAR: A Benchmark for Situated Reasoning in Real-World Videos. CoRR abs/2405.09711 (2024) - [i18]Bo Wu, Peiye Liu, Wen-Huang Cheng, Bei Liu, Zhaoyang Zeng, Jia Wang, Qiushi Huang, Jiebo Luo:
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. CoRR abs/2405.10497 (2024) - [i17]Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang:
Selective Prompting Tuning for Personalized Conversations with LLMs. CoRR abs/2406.18187 (2024) - 2023
- [j5]Tianwen Qian, Jingjing Chen, Shaoxiang Chen, Bo Wu, Yu-Gang Jiang:
Scene Graph Refinement Network for Visual Question Answering. IEEE Trans. Multim. 25: 3950-3961 (2023) - [c30]Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang:
Personalized Dialogue Generation with Persona-Adaptive Attention. AAAI 2023: 12916-12923 - [c29]Hammad A. Ayyubi, Rahul Lokesh, Alireza Zareian, Bo Wu, Shih-Fu Chang:
Learning from Children: Improving Image-Caption Pretraining via Curriculum. ACL (Findings) 2023: 13378-13386 - [c28]Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Learning Situation Hyper-Graphs for Video Question Answering. CVPR 2023: 14879-14889 - [c27]Mitchell Lee, Chris Lee, Sanjay Penmetsa, Min Chen, Mizuki Miyashita, Naatosi Fish, Bo Wu, Omar Shahbaz Khan:
Reproducibility Companion Paper: MeTILDA - Platform for Melodic Transcription in Language Documentation and Application. ICMR 2023: 640-643 - [c26]Bo Wu, Peiye Liu, Wen-Huang Cheng, Bei Liu, Zhaoyang Zeng, Jia Wang, Qiushi Huang, Jiebo Luo:
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge. ACM Multimedia 2023: 9651-9655 - [i16]Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Learning Situation Hyper-Graphs for Video Question Answering. CoRR abs/2304.08682 (2023) - [i15]Hammad A. Ayyubi, Rahul Lokesh, Alireza Zareian, Bo Wu, Shih-Fu Chang:
Learning from Children: Improving Image-Caption Pretraining via Curriculum. CoRR abs/2305.17540 (2023) - 2022
- [j4]Jiaqi Zhu, Feng Dai, Lingyun Yu, Hongtao Xie, Lidong Wang, Bo Wu, Yongdong Zhang:
Attention-guided transformation-invariant attack for black-box adversarial examples. Int. J. Intell. Syst. 37(5): 3142-3165 (2022) - [j3]Xiangpeng Li, Bo Wu, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Chuang Gan:
Text-instance graph: Exploring the relational semantics for text-based visual question answering. Pattern Recognit. 124: 108455 (2022) - [j2]Yunfan Hu, Jiangtao Wang, Bo Wu, Sumi Helal:
RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing. IEEE Trans. Mob. Comput. 21(12): 4555-4568 (2022) - [c25]Ruili Lai, Chumei Wen, Jingmin Xu, Delu Zeng, Bo Wu:
VLS: Vehicle Tail Light Signal Detection Benchmark. ACAI 2022: 110:1-110:6 - [c24]Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung:
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. ICSE 2022: 573-585 - [i14]Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung:
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. CoRR abs/2205.01938 (2022) - [i13]Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang:
Personalized Dialogue Generation with Persona-Adaptive Attention. CoRR abs/2210.15088 (2022) - 2021
- [c23]Qifei Zhou, Hucheng Liu, Weiping Li, Tong Mo, Bo Wu:
Bilateral Autotrading Framework for Stock Prediction. IJCNN 2021: 1-8 - [c22]Qiushi Huang, Tom Ko, H. Lilian Tang, Xubo Liu, Bo Wu:
Token-Level Supervised Contrastive Learning for Punctuation Restoration. Interspeech 2021: 2012-2016 - [c21]Pengzhan Sun, Bo Wu, Xunsong Li, Wen Li, Lixin Duan, Chuang Gan:
Counterfactual Debiasing Inference for Compositional Action Recognition. ACM Multimedia 2021: 3220-3228 - [c20]Yuhan Zhang, Bo Wu, Wen Li, Lixin Duan, Chuang Gan:
STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition. ACM Multimedia 2021: 3229-3237 - [c19]Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan:
STAR: A Benchmark for Situated Reasoning in Real-World Videos. NeurIPS Datasets and Benchmarks 2021 - [i12]Qiushi Huang, Tom Ko, H. Lilian Tang, Xubo Liu, Bo Wu:
Token-Level Supervised Contrastive Learning for Punctuation Restoration. CoRR abs/2107.09099 (2021) - 2020
- [j1]Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Juan Cao, Jintao Li, Tao Mei:
Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters. IEEE Trans. Knowl. Data Eng. 32(3): 547-559 (2020) - [c18]Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
General Partial Label Learning via Dual Bipartite Graph Autoencoder. AAAI 2020: 10502-10509 - [c17]Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong:
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. AAAI 2020: 10933-10940 - [c16]Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare R. Voss, Daniel Napierski, Marjorie Freedman:
GAIA: A Fine-grained Multimedia Knowledge Extraction System. ACL (demo) 2020: 77-86 - [c15]Rong Zhang, Qifei Zhou, Bo An, Weiping Li, Tong Mo, Bo Wu:
Enhancing Neural Models with Vulnerability via Adversarial Attack. COLING 2020: 1133-1146 - [c14]Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok:
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. CVPR 2020: 2105-2113 - [c13]Qifei Zhou, Rong Zhang, Bo Wu, Weiping Li, Tong Mo:
Detection by Attack: Detecting Adversarial Samples by Undercover Attack. ESORICS (2) 2020: 146-164 - [c12]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. IJCAI 2020: 3536-3543 - [c11]Yimeng Zhang, Xiao-Yang Liu, Bo Wu, Anwar Walid:
Video Synthesis via Transform-Based Tensor Neural Network. ACM Multimedia 2020: 2454-2462 - [c10]Xin Wang, Bo Wu, Yueqi Zhong, Wei Hu, Jan Zahálka:
Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. ACM Multimedia 2020: 4439-4443 - [c9]Yunfan Hu, Jiangtao Wang, Bo Wu, Sumi Helal:
Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning. PerCom 2020: 1-10 - [c8]Rong Zhang, Qifei Zhou, Bo Wu, Weiping Li, Tong Mo:
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis. SDM 2020: 226-234 - [i11]Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
General Partial Label Learning via Dual Bipartite Graph Autoencoder. CoRR abs/2001.01290 (2020) - [i10]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. CoRR abs/2006.04380 (2020) - [i9]Bo Wu, Haoyu Qin, Alireza Zareian, Carl Vondrick, Shih-Fu Chang:
Analogical Reasoning for Visually Grounded Language Acquisition. CoRR abs/2007.11668 (2020)
2010 – 2019
- 2019
- [c7]Ling Lo, Chia-Lin Liu, Rong-An Lin, Bo Wu, Hong-Han Shuai, Wen-Huang Cheng:
Dressing for Attention: Outfit Based Fashion Popularity Prediction. ICIP 2019: 3222-3226 - [c6]Xin Wang, Bo Wu, Yueqi Zhong:
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. ACM Multimedia 2019: 329-337 - [c5]Bo Wu, Wen-Huang Cheng, Peiye Liu, Bei Liu, Zhaoyang Zeng, Jiebo Luo:
SMP Challenge: An Overview of Social Media Prediction Challenge 2019. ACM Multimedia 2019: 2667-2671 - [i8]Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang:
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2019 - [i7]Peiye Liu, Bo Wu, Huadong Ma, Pavan Kumar Chundi, Mingoo Seok:
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning. CoRR abs/1907.09569 (2019) - [i6]Yun Ye, Yixin Li, Bo Wu, Wei Zhang, Lingyu Duan, Tao Mei:
Hard-Aware Fashion Attribute Classification. CoRR abs/1907.10839 (2019) - [i5]Xin Wang, Bo Wu, Yun Ye, Yueqi Zhong:
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. CoRR abs/1907.11496 (2019) - [i4]Bo Wu, Wen-Huang Cheng, Peiye Liu, Zhaoyang Zeng, Jiebo Luo:
SMP Challenge: An Overview of Social Media Prediction Challenge 2019. CoRR abs/1910.01795 (2019) - [i3]Jui-Hsin Lai, Bo Wu, Xin Wang, Dan Zeng, Tao Mei, Jingen Liu:
Theme-Matters: Fashion Compatibility Learning via Theme Attention. CoRR abs/1912.06227 (2019) - 2018
- [i2]Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Tao Mei:
Time Matters: Multi-scale Temporalization of Social Media Popularity. CoRR abs/1801.05853 (2018) - 2017
- [c4]Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li, Tao Mei:
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. IJCAI 2017: 3062-3068 - [c3]Yu-Ting Chang, Wen-Huang Cheng, Bo Wu, Kai-Lung Hua:
Fashion World Map: Understanding Cities Through Streetwear Fashion. ACM Multimedia 2017: 91-99 - [i1]Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li, Tao Mei:
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. CoRR abs/1712.04443 (2017) - 2016
- [c2]Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang:
Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition. AAAI 2016: 272-278 - [c1]Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Tao Mei:
Time Matters: Multi-scale Temporalization of Social Media Popularity. ACM Multimedia 2016: 1336-1344
Coauthor Index
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last updated on 2024-10-31 20:19 CET by the dblp team
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