Changnan Xiao

According to our database, Changnan Xiao authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Continual Out-of-Distribution Detection with Analytic Neural Collapse.

Saleh Momeni, Changnan Xiao, Bing Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection.

Saleh Momeni, Changnan Xiao, Bing Liu

CoRR, November, 2025

Open-world continual learning: Unifying novelty detection and continual learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Artif. Intell., 2025

Generalizing Reasoning Problems to Longer Lengths.

Changnan Xiao, Bing Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

A Theory for Length Generalization in Learning to Reason.

Changnan Xiao, Bing Liu

CoRR, 2024

2023

Conditions for Length Generalization in Learning Reasoning Skills.

Changnan Xiao, Bing Liu

CoRR, 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

ParliRobo: Participant Lightweight AI Robots for Massively Multiplayer Online Games (MMOGs).

Jianwei Zheng, Changnan Xiao, Mingliang Li, Zhenhua Li, Feng Qian, Wei Liu, Xudong Wu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learnability and Algorithm for Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu

Proceedings of the International Conference on Machine Learning, 2023

Mastering Strategy Card Game (Hearthstone) with Improved Techniques.

Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun

Proceedings of the IEEE Conference on Games, 2023

2022

A Theoretical Study on Solving Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalized Data Distribution Iteration.

Jiajun Fan, Changnan Xiao

Proceedings of the International Conference on Machine Learning, 2022

Continual Learning Based on OOD Detection and Task Masking.

Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning.

Jiajun Fan, Changnan Xiao, Yue Huang

CoRR, 2021

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning.

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng

CoRR, 2021

CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation.

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng

CoRR, 2021