Zhengmian Hu - RankMe

55 papers A* 18A 1C 1Misc 1Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking. CoRR Zhengmian Hu, Lei Shi, Ritwik Sinha, Justin Grover, David Arbour
2025	J	`jnl`	A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR 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
2025	Misc	`conf`	A Survey on Small Language Models. RANLP 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, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
2025	C	`conf`	AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. ASRU Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Li, Yiran Chen
2025	J	`jnl`	AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. CoRR Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Helen Li, Yiran Chen
2025	J	`jnl`	CTRLS: Chain-of-Thought Reasoning via Latent State-Transition. CoRR Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley
2025	—	`conf`	Cautious Next Token Prediction. ACL (Findings) Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, Yun Fu
2025	J	`jnl`	Cautious Next Token Prediction. CoRR Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, Yun Fu
2025	J	`jnl`	Dialectics for Artificial Intelligence. CoRR Zhengmian Hu
2025	J	`jnl`	Enhancing privacy in biosecurity with watermarked protein design. Bioinform. Yanshuo Chen, Zhengmian Hu, Yihan Wu, Ruibo Chen, Yongrui Jin, Marcus Zhan, Chengjin Xie, Wei Chen, Heng Huang
2025	J	`jnl`	Exploring Rewriting Approaches for Different Conversational Tasks. CoRR 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
2025	J	`jnl`	Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. Bioinform. Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang
2025	—	`conf`	From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) 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
2025	J	`jnl`	From Selection to Generation: A Survey of LLM-based Active Learning. CoRR 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
2025	—	`conf`	GUI Agents: A Survey. ACL (Findings) 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
2025	A*	`conf`	Towards Optimal Multi-draft Speculative Decoding. ICLR Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang
2025	J	`jnl`	Towards Optimal Multi-draft Speculative Decoding. CoRR Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang
2025	J	`jnl`	Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap. CoRR Yueqian Lin, Zhengmian Hu, Qinsi Wang, Yudong Liu, Hengfan Zhang, Jayakumar Subramanian, Nikos Vlassis, Hai Helen Li, Yiran Chen
2024	A*	`conf`	A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. EMNLP Zhengmian Hu, Tong Zheng, Heng Huang
2024	J	`jnl`	A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. CoRR Zhengmian Hu, Tong Zheng, Heng Huang
2024	A*	`conf`	A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. ICML Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang
2024	J	`jnl`	A Survey of Small Language Models. CoRR 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
2024	A*	`conf`	Accelerated Speculative Sampling Based on Tree Monte Carlo. ICML Zhengmian Hu, Heng Huang
2024	J	`jnl`	Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions. CoRR Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang
2024	J	`jnl`	Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. CoRR Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang
2024	J	`jnl`	GUI Agents: A Survey. CoRR 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
2024	A*	`conf`	Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. NeurIPS Zhengmian Hu, Heng Huang
2024	J	`jnl`	Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. CoRR Zhengmian Hu, Heng Huang
2024	J	`jnl`	Personalized Multimodal Large Language Models: A Survey. CoRR 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
2024	A*	`conf`	Robust Reinforcement Learning with General Utility. NeurIPS Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang
2024	A*	`conf`	Unbiased Watermark for Large Language Models. ICLR Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
2024	—	`—`	Understanding and Enhancing Machine Learning Models with Theoretical Foundations. Zhengmian Hu
2023	A	`conf`	AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. AISTATS Feihu Huang, Xidong Wu, Zhengmian Hu
2023	A*	`conf`	Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. ICML Zhengmian Hu, Xidong Wu, Heng Huang
2023	A*	`conf`	Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. AAAI Xidong Wu, Zhengmian Hu, Heng Huang
2023	J	`jnl`	Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. CoRR Xidong Wu, Zhengmian Hu, Heng Huang
2023	J	`jnl`	DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models. CoRR Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang
2023	A*	`conf`	Faster Adaptive Federated Learning. AAAI Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang
2023	A*	`conf`	Federated Conditional Stochastic Optimization. NeurIPS Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
2023	J	`jnl`	Federated Conditional Stochastic Optimization. CoRR Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
2023	J	`jnl`	GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset. CoRR Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang
2023	A*	`conf`	Optimization and Bayes: A Trade-off for Overparameterized Neural Networks. NeurIPS Zhengmian Hu, Heng Huang
2023	A*	`conf`	Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
2023	J	`jnl`	Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
2023	A*	`conf`	Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
2023	J	`jnl`	Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
2023	A*	`conf`	Tighter Analysis for ProxSkip. ICML Zhengmian Hu, Heng Huang
2023	J	`jnl`	Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan
2023	J	`jnl`	Unbiased Watermark for Large Language Models. CoRR Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
2022	J	`jnl`	Faster Adaptive Federated Learning. CoRR Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang
2021	J	`jnl`	A New Framework for Variance-Reduced Hamiltonian Monte Carlo. CoRR Zhengmian Hu, Feihu Huang, Heng Huang
2021	A*	`conf`	Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. AAAI Huimin Wu, Zhengmian Hu, Bin Gu
2021	J	`jnl`	Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. CoRR Huimin Wu, Zhengmian Hu, Bin Gu
2021	A*	`conf`	On the Random Conjugate Kernel and Neural Tangent Kernel. ICML Zhengmian Hu, Heng Huang
2021	A*	`conf`	Optimal Underdamped Langevin MCMC Method. NeurIPS Zhengmian Hu, Feihu Huang, Heng Huang