Zhengmian Hu

According to our database, Zhengmian Hu authored at least 35 papers between 2021 and 2025.

Collaborative distances:

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

2025

CTRLS: Chain-of-Thought Reasoning via Latent State-Transition.

Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley

CoRR, July, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao

CoRR, May, 2025

Exploring Rewriting Approaches for Different Conversational Tasks.

Md. Mehrab Tanjim, Ryan A. Rossi, Mike Rimer, Xiang Chen, Sungchul Kim, Vaishnavi Muppala, Tong Yu, Zhengmian Hu, Ritwik Sinha, Wei Zhang, Iftikhar Ahamath Burhanuddin, Franck Dernoncourt

CoRR, February, 2025

Towards Optimal Multi-draft Speculative Decoding.

Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

From Selection to Generation: A Survey of LLM-based Active Learning.

Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Cautious Next Token Prediction.

Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, Yun Fu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

GUI Agents: A Survey.

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Understanding and Enhancing Machine Learning Models with Theoretical Foundations.

Zhengmian Hu

PhD thesis, 2024

GUI Agents: A Survey.

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

CoRR, 2024

Personalized Multimodal Large Language Models: A Survey.

Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley

CoRR, 2024

Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction.

Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang

CoRR, 2024

A Survey of Small Language Models.

Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen

CoRR, 2024

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions.

Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang

CoRR, 2024

Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models.

Zhengmian Hu, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Reinforcement Learning with General Utility.

Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.

Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerated Speculative Sampling Based on Tree Monte Carlo.

Zhengmian Hu, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unbiased Watermark for Large Language Models.

Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution.

Zhengmian Hu, Tong Zheng, Heng Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information.

Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan

CoRR, 2023

GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset.

Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang

CoRR, 2023

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models.

Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang

CoRR, 2023

Solving a Class of Non-Convex Minimax Optimization in Federated Learning.

Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Conditional Stochastic Optimization.

Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimization and Bayes: A Trade-off for Overparameterized Neural Networks.

Zhengmian Hu, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining.

Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization.

Zhengmian Hu, Xidong Wu, Heng Huang

Proceedings of the International Conference on Machine Learning, 2023

Tighter Analysis for ProxSkip.

Zhengmian Hu, Heng Huang

Proceedings of the International Conference on Machine Learning, 2023

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization.

Feihu Huang, Xidong Wu, Zhengmian Hu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Faster Adaptive Federated Learning.

Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.

Xidong Wu, Zhengmian Hu, Heng Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

A New Framework for Variance-Reduced Hamiltonian Monte Carlo.

Zhengmian Hu, Feihu Huang, Heng Huang

CoRR, 2021

Optimal Underdamped Langevin MCMC Method.

Zhengmian Hu, Feihu Huang, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Random Conjugate Kernel and Neural Tangent Kernel.

Zhengmian Hu, Heng Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients.

Huimin Wu, Zhengmian Hu, Bin Gu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021