Zhengmian Hu

Zhengmian Hu is a researcher at Adobe Research. He received his Ph.D. in Computer Science from the University of Maryland, College Park, where he was advised by Professor Heng Huang. His research interests include optimization, deep learning theory, and probabilistic methods in machine learning. His work has been published at top machine learning venues such as ICML, NeurIPS, and ICLR.

AI & Machine Learning

Publications

December 7, 2025 NeurIPS 2025 MTI-LLM workshop

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

Spotlight paper (top 5%)

September 10, 2025 RANLP 2025

A Survey on 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, 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