He Kong | AI Researcher

About Me

Hello! I am He Kong, a Ph.D. candidate at the School of Artificial Intelligence, Jilin University. I study interaction and coordination among intelligent agents and develop algorithms for complex environments. My research currently focuses on multi-agent reinforcement learning and LLM-powered agents.

Publications

Learning Optimal Policies with Local Observations for Cooperative Multi-agent Reinforcement Learning IEEE Transactions on Neural Networks and Learning Systems, 2026 He Kong, Qianli Xing, Qi Wang*, Hechang Chen, Runliang Niu, Zhiyi Duan, Shiqi Wang, Yi Chang, Irwin King. (CCF B, JCR Q1)

ADAC: Actor-Double-Attention-Critic for Multi-agent Cooperation in Mixed Cooperative-competitive Environments IEEE Transactions on Intelligent Transportation Systems, 2025 He Kong, Qianli Xing*, Qi Wang, Hechang Chen, Runliang Niu, Yu Wang, Shiqi Wang, Zhiyi Duan, Yi Chang. (CCF B, JCR Q1)

Flexible Model Weighting for One-dependence Estimators based on Point-wise Independence Analysis Pattern Recognition, 2023 He Kong, Limin Wang. (CCF B, JCR Q1)

Averaged Tree-augmented One-dependence Estimators Applied Intelligence, 2021 He Kong, Xiaohu Shi, Limin Wang, Yang Liu, Musa Mammadov, Gaojie Wang
(CCF C, JCR Q2)

MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025 Shiqi Wang, Qi Wang, Runliang Niu, He Kong, Yi Chang
(CCF B)

Learn to Explain Transformer via Interpretation Path by Reinforcement Learning Neural Networks, 2025 (In Press) Runliang Niu, Qi Wang, He Kong, Qianli Xing, Yi Chang, Philip S. Yu
(CCF B, JCR Q1)

ScreenAgent: A Vision Language Model-driven Computer Control Agent Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2024 Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang (CCF B)

From Undirected Dependence to Directed Causality: A Novel Bayesian Learning Approach Intelligent Data Analysis, 2022 Limin Wang, Hangqi Fan, He Kong
(CCF C, JCR Q4)

CCS-GAD: A Collaborative Contrastive Self-supervised Learning Model for Graph Anomaly Detection Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2025 (Accepted) Rui Cao, Qi Wang, Shijie Xue, He Kong, Runliang Niu, Qianli Xing and Deyang Zhang
(CCF C)

Service

Journal Reviewer: Pattern Recognition, Machine Learning, Neural Networks, Information Sciences, NeuroComputing, Applied Intelligence, The Journal of Supercomputing, Journal of Big Data, Electric Power Systems Research, Results in Engineering
Conference Reviewer: IJCAI2024, IJCAI2025 PC, ECAI2025 PC, IJCAI-ECAT2026 PC, PAKDD2026 PC, IROS2026

Education

Ph.D. in Artificial Intelligence, Jilin University, 2024–Present
M.Sc. in Computer Application Technology, Jilin University, 2019–2022
B.Sc. in Software Engineering, Qufu Normal University, 2015–2019

Representative Awards

Graduate National Scholarship, Ministry of Education of the PRC, 2021
Huawei Scholarship, Jilin University & Huawei, 2020
National Endeavor Fellowship, Ministry of Education of the PRC, 2017 & 2018

Contact

Email: konghe19@mails.jlu.edu.cn | konghe24@mails.jlu.edu.cn

GitHub: CrazyBayes