About Me
I'm an algorithm researcher at WeChat AI, Tencent, and a member of the WeChat AI Team. I work on post-training for the WeLM large language model series.
Prior to joining Tencent, I received the B.S. degree in Computer Science from Beijing University of Posts and Telecommunications (BUPT) in 2014. In April 2017, I received the M.Sc. degree in Computer Engineering under the supervision of Prof. Xiaojie Wang at BUPT.
Publications
Hidden Decoding at Scale: Latent Computation Scaling for Large Language Models
Aiwei Liu, Cheng Shi, Chuhan Wu, Ci Lei, Di Lu, Donald He, Fan Zhang, Fanhao Kong, Feifei Zhang, Guan Wang, Haicheng Wang, Haoyu Liu, Houjin Yu, Jiachen Ding, Jiayi Feng, Jie Zhou, Jijun Chi, Jindi Shi, Jing Lei, Junjie Zhang, Laiyi Li, Le Tian, Linhao Zhang, Miao Fan, Sijun Zhang, Wei Jia, Weiwei Shi, Wenhan Li, Wentao Zhao, Wenteng Liang, et al.
WeLM Technical Report 2026
Paper
Blog
Code
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, E. Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, et al.
ICLR 2026
Paper
Code
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
Yuzhao Mao, Di Lu, Yang Zhang, Xiaojie Wang
ECAI 2023
Paper
Code
