CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation. - Changnan Xiao; Haosen Shi 001; Jiajun Fan; Shihong Deng (CoRR, 2021)

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning. - Changnan Xiao; Haosen Shi 001; Jiajun Fan; Shihong Deng (CoRR, 2021)

GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning. - Jiajun Fan; Changnan Xiao; Yue Huang (CoRR, 2021)

Continual Learning Based on OOD Detection and Task Masking. - Gyuhak Kim; Sepideh Esmaeilpour; Changnan Xiao; Bing Liu 001 (CVPR Workshops, 2022)

Generalized Data Distribution Iteration. - Jiajun Fan; Changnan Xiao (ICML, 2022)

A Theoretical Study on Solving Continual Learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Zixuan Ke; Bing Liu 001 (NeurIPS, 2022)

Mastering Strategy Card Game (Hearthstone) with Improved Techniques. - Changnan Xiao; Yongxin Zhang; Xuefeng Huang; Qinhan Huang; Jie Chen; Peng Sun (CoG, 2023)

Learnability and Algorithm for Continual Learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Bing Liu 001 (ICML, 2023)

ParliRobo: Participant Lightweight AI Robots for Massively Multiplayer Online Games (MMOGs). - Jianwei Zheng 003; Changnan Xiao; Mingliang Li; Zhenhua Li 001; Feng Qian 001; Wei Liu 148; Xudong Wu (ACM Multimedia, 2023)

Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play. - Wei Xi; Yongxin Zhang; Changnan Xiao; Xuefeng Huang; Shihong Deng; Haowei Liang; Jie Chen; Peng Sun (CoRR, 2023)

Conditions for Length Generalization in Learning Reasoning Skills. - Changnan Xiao; Bing Liu 001 (CoRR, 2023)

A Theory for Length Generalization in Learning to Reason. - Changnan Xiao; Bing Liu 001 (CoRR, 2024)

Elimination of the Symmetrical Artifacts in Kirchhoff Depth Migration for 3-D Whole-Space Tunnel Seismic Imaging. - Wei Cai; Peimin Zhu; Changnan Xiao; Yufeng Liu; Chengshuang Li; Ziang Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Generalizing Reasoning Problems to Longer Lengths. - Changnan Xiao; Bing Liu 001 (ICLR, 2025)

Open-world continual learning: Unifying novelty detection and continual learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Zixuan Ke; Bing Liu 001 (Artif. Intell., 2025)