Yuwei Zhang

According to our database, Yuwei Zhang authored at least 31 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring.

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

CoRR, May, 2026

CoMem: Context Management with A Decoupled Long-Context Model.

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

CoRR, May, 2026

Towards a General Intelligence and Interface for Wearable Health Data.

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

CoRR, May, 2026

ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation.

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

CoRR, May, 2026

Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation.

Yuwei Zhang, Sha Li, Changlong Yu, Qin Lu, Shuowei Jin, Chengyu Dong, Haoran Liu, Ilgee Hong, Xintong Li, Zhenyu Shi, Bing Yin, Jingbo Shang

CoRR, May, 2026

Wearable Foundation Models Should Go Beyond Static Encoders.

Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon, Ting Dang, Dimitris Spathis, Tong Xia, Qiang Yang, Jing Han, Dong Ma, Sung-Ju Lee, Cecilia Mascolo

CoRR, March, 2026

RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering.

Gaia A. Bertolino, Yuwei Zhang, Tong Xia, Domenico Talia, Cecilia Mascolo

CoRR, March, 2026

RA-QA: Towards Respiratory Audio-based Health Question Answering.

Gaia A. Bertolino, Yuwei Zhang, Tong Xia, Domenico Talia, Cecilia Mascolo

CoRR, February, 2026

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection.

Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

The Anatomy of a Personal Health Agent.

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

CoRR, August, 2025

SensorLM: Learning the Language of Wearable Sensors.

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

CoRR, June, 2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data.

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

CoRR, June, 2025

LSM-2: Learning from Incomplete Wearable Sensor Data.

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

CoRR, June, 2025

Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval.

Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

CoRR, March, 2025

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.

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, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour

CoRR, February, 2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data.

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 Patel, Hamid Palangi, Xuhai Orson Xu, Daniel McDuff, Tim Althoff, Xin Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning.

Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking.

Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction.

Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo

Proceedings of the Machine Learning for Health, 2024

Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications.

Yuwei Zhang, Tong Xia, Abhirup Ghosh, Cecilia Mascolo

Proceedings of the Machine Learning for Health, 2024

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation.

Letian Peng, Yuwei Zhang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Answer is All You Need: Instruction-following Text Embedding via Answering the Question.

Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Generating Efficient Training Data via LLM-based Attribute Manipulation.

Letian Peng, Yuwei Zhang, Jingbo Shang

CoRR, 2023

Toward Unsupervised Realistic Visual Question Answering.

Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ClusterLLM: Large Language Models as a Guide for Text Clustering.

Yuwei Zhang, Zihan Wang, Jingbo Shang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.

Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

New Intent Discovery with Pre-training and Contrastive Learning.

Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize.

Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre

CoRR, 2021

Effectiveness of Pre-training for Few-shot Intent Classification.

Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021