Linchao Pan (潘林朝)

I'm a PhD student at Hong Kong Baptist University (HKBU), under the supervision of Prof. Kaiyang Zhou. Previously, I received my M.Sc. in Computer Science and Technology from Shenzhen University in 2026, supervised by Prof. Can Gao. I also received my B.Eng. in Software Engineering (Honours degree) from Shenzhen University in 2023.

Email  /  CV  /  Google Scholar  /  Github

profile photo
Objective

My current research focuses on human-agent interaction, with broader interests in building reliable AI systems for dynamic and open-world environments.

Publications
Momentum evidential teacher framework
Momentum Evidential Teacher With Dual Similarity Contrastive Learning for Open-World Noisy Data
Can Gao, Linchao Pan, Yubo Nian, Lingyu Li, Jie Zhou, Weiping Ding,
IEEE Transactions on Neural Networks and Learning Systems, 2026
Paper

Learning with open-world noisy data via class-independent margin in dual representation space
Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang,
AAAI, 2025
Paper / Code

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data
Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue,
Applied Soft Computing, 2024
Paper

Three-way decision-based tri-training with entropy minimization
Linchao Pan, Can Gao, Jie Zhou,
Information Sciences, 2022
Paper

Kernelized fuzzy rough sets-based three-way feature selection
Xingchen, Liu, Liuxin, Wang, Linchao Pan, Can Gao,
International Joint Conference on Rough Sets, 2022
Paper

Experience
  • Research Assistant, Hong Kong Baptist University, supervised by Prof. Kaiyang Zhou, Aug. 2025 - Aug. 2026
  • Intern, Tencent AI Lab, Computational Optimization Group, Jan. 2022 - May 2022

  • Thank Jon Barron for sharing his website's source code.