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Yuwei Zhang 0001
Person information
- affiliation: University of California, Department of Electrical and Computer Engineering, San Diego, CA, USA
- affiliation (former): Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (former): Nankai University, Department of Physics, Tianjin, China
Other persons with the same name
- Yuwei Zhang (aka: Yu-Wei Zhang) — disambiguation page
- Yuwei Zhang 0002 — Tsinghua University, China
- Yuwei Zhang 0003
— Institute of Software, Chinese Academy of Sciences, Beijing, China (and 2 more)
- Yuwei Zhang 0004 — Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yuwei Zhang 0005
- Yuwei Zhang 0006
- Yuwei Zhang 0007 — Ningbo University, Ningbo, Zhejiang, China
- Yuwei Zhang 0008 — Tongji University, Shanghai, China
- Yuwei Zhang 0009
- Yuwei Zhang 0010 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Yuwei Zhang 0011 — Central South University, Changsha, China
- Yuwei Zhang 0012 — Beijing Ningju Technology Co., Ltd
- Yuwei Zhang 0013 — University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Yu-Wei Zhang 0014
- Yuwei Zhang 0015
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2020 – today
- 2026
- [c16]Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. ACL (1) 2026: 16964-16980 - [i31]Gaia A. Bertolino, Yuwei Zhang, Tong Xia, Domenico Talia, Cecilia Mascolo:
RA-QA: Towards Respiratory Audio-based Health Question Answering. CoRR abs/2602.18452 (2026) - [i30]Gaia A. Bertolino, Yuwei Zhang, Tong Xia, Domenico Talia, Cecilia Mascolo:
RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering. CoRR abs/2603.06542 (2026) - [i29]Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo:
Wearable Foundation Models Should Go Beyond Static Encoders. CoRR abs/2603.19564 (2026) - [i28]Yuwei Zhang, Sha Li, Changlong Yu, Qin Lu, Shuowei Jin, Chengyu Dong, Haoran Liu, Ilgee Hong, Xintong Li, Zhenyu Shi, Bing Yin, Jingbo Shang:
Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation. CoRR abs/2605.12741 (2026) - [i27]Zhongkai Yu, Yichen Lin, Chenyang Zhou, Yuwei Zhang, Kun Zhou, Junxia Cui, Haotian Ye, Zhengding Hu, Zaifeng Pan, Ruiyi Wang, Yujie Zhao, Hejia Zhang, Jingbo Shang, Jishen Zhao, Yufei Ding:
ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation. CoRR abs/2605.12857 (2026) - [i26]Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari, Samy Abdel-Ghaffar, Marius Guerard, Kara Vaillancourt, Zhihan Zhang, Jake Garrison, Levi Albuquerque, Dimitris Spathis, Hong Yu, Hamid Palangi, Xuhai Orson Xu, David G. T. Barrett, Joseph Breda, Jed McGiffin, Yubin Kim, Yuwei Zhang, Naghmeh Rezaei, Samuel Solomon, Karan Ahuja, Tim Althoff, Jake Sunshine, Ming-Zher Poh, Benjamin Yetton, Ari Winbush, Nicholas B. Allen, James M. Rehg, Isaac R. Galatzer-Levy, Yun Liu, John Hernandez, Anupam Pathak, Conor Heneghan, Yuzhe Yang, Ahmed A. Metwally, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Xin Liu, Daniel McDuff:
Towards a General Intelligence and Interface for Wearable Health Data. CoRR abs/2605.22759 (2026) - [i25]Yuwei Zhang, Chengyu Dong, Shuowei Jin, Changlong Yu, Hejie Cui, Hongye Jin, Xinyang Zhang, Hamed Bonab, Colin Lockard, Jianshu Chen, Zhenyu Shi, Jingbo Shang, Xian Li, Bing Yin:
CoMem: Context Management with A Decoupled Long-Context Model. CoRR abs/2605.30842 (2026) - [i24]Zechen Li, Keerthana Natarajan, Weizhi Zhang, Menglian Zhou, Simon A. Lee, Yuwei Zhang, Maxwell A. Xu, Zeinab Esmaeilpour, Flora D. Salim, Mark Malhotra, Lindsey Sunden, Shwetak N. Patel, Yuzhe Yang, Ahmed A. Metwally:
GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring. CoRR abs/2605.30865 (2026) - [i23]Haoran Liu, Yuwei Zhang, Xiyao Li, Bohan Lyu, Jingbo Shang:
HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation. CoRR abs/2606.11559 (2026) - [i22]Yuwei Zhang, Tong Xia, Bianca Emmerich, Yu Yvonne Wu, Dimitris Spathis, Xin Liu, Daniel McDuff, Cecilia Mascolo:
WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning. CoRR abs/2606.18147 (2026) - [i21]Xintong Li, Sha Li, Yuwei Zhang, Changlong Yu, Rongmei Lin, Hongye Jin, Shuyi Guan, Xin Liu, Linwei Li, Qingyu Yin, Jingbo Shang:
Process Reward Informed Tree Rollout for Effective Multi-Turn RL. CoRR abs/2607.15610 (2026) - 2025
- [c15]Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang:
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning. EMNLP 2025: 11493-11506 - [c14]Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. ICLR 2025 - [c13]Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu:
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. ICLR 2025 - [c12]Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Max Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Orson Xu, Daniel McDuff, Tim Althoff, Xin Liu:
RADAR: Benchmarking Language Models on Imperfect Tabular Data. NeurIPS 2025 - [c11]Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Max Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Orson Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang:
SensorLM: Learning the Language of Wearable Sensors. NeurIPS 2025 - [i20]Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. CoRR abs/2502.06693 (2025) - [i19]Xintong Li
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning. CoRR abs/2503.07018 (2025) - [i18]Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval. CoRR abs/2503.09819 (2025) - [i17]Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. CoRR abs/2505.12306 (2025) - [i16]Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff:
LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR abs/2506.05321 (2025) - [i15]Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu:
RADAR: Benchmarking Language Models on Imperfect Tabular Data. CoRR abs/2506.08249 (2025) - [i14]Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A. Xu, Ahmed A. Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang:
SensorLM: Learning the Language of Wearable Sensors. CoRR abs/2506.09108 (2025) - [i13]A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu:
The Anatomy of a Personal Health Agent. CoRR abs/2508.20148 (2025) - 2024
- [c10]Letian Peng, Yuwei Zhang, Jingbo Shang:
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. ACL (Findings) 2024: 1-16 - [c9]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) 2024: 459-477 - [c8]Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo:
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. ML4H@NeurIPS 2024: 1053-1066 - [c7]Yuwei Zhang, Tong Xia, Abhirup Ghosh, Cecilia Mascolo:
Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications. ML4H@NeurIPS 2024: 1067-1086 - [c6]Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo:
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. NeurIPS 2024 - [i12]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR abs/2402.09642 (2024) - [i11]Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. CoRR abs/2406.16148 (2024) - [i10]Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR abs/2407.08223 (2024) - [i9]Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo:
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. CoRR abs/2410.05361 (2024) - [i8]Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu:
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. CoRR abs/2410.10813 (2024) - 2023
- [c5]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. EMNLP 2023: 13903-13920 - [c4]Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos
Toward Unsupervised Realistic Visual Question Answering. ICCV 2023: 15567-15578 - [i7]Yuwei Zhang, Chih-Hui Ho
Toward Unsupervised Realistic Visual Question Answering. CoRR abs/2303.05068 (2023) - [i6]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. CoRR abs/2305.14871 (2023) - [i5]Letian Peng, Yuwei Zhang, Jingbo Shang:
Generating Efficient Training Data via LLM-based Attribute Manipulation. CoRR abs/2307.07099 (2023) - 2022
- [c3]Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam:
New Intent Discovery with Pre-training and Contrastive Learning. ACL (1) 2022: 256-269 - [c2]Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam:
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. NAACL-HLT 2022: 532-542 - [i4]Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. CoRR abs/2205.07208 (2022) - [i3]Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu
New Intent Discovery with Pre-training and Contrastive Learning. CoRR abs/2205.12914 (2022) - 2021
- [c1]Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam:
Effectiveness of Pre-training for Few-shot Intent Classification. EMNLP (Findings) 2021: 1114-1120 - [i2]Matthew Ricci, Minju Jung, Yuwei Zhang
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. CoRR abs/2105.02838 (2021) - [i1]Haode Zhang, Yuwei Zhang
Effectiveness of Pre-training for Few-shot Intent Classification. CoRR abs/2109.05782 (2021)
Coauthor Index
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last updated on 2026-08-28 02:03 CEST by the dblp team
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