He Kong

He Kong

Ph.D. Candidate in Artificial Intelligence · Jilin University

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

ADAC: Actor-Double-Attention-Critic for Multi-agent Cooperation in Mixed Cooperative-competitive Environments IEEE Transactions on Intelligent Transportation Systems, 2025 (In Press) He Kong, Qianli Xing*, Qi Wang, Hechang Chen, Runliang Niu, Yu Wang, Shiqi Wang, Zhiyi Duan, Yi Chang
Averaged Tree-augmented One-dependence Estimators Applied Intelligence, 2021 He Kong, Xiaohu Shi, Limin Wang, Yang Liu, Musa Mammadov, Gaojie Wang
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
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
From Undirected Dependence to Directed Causality: A Novel Bayesian Learning Approach Intelligent Data Analysis, 2022 Limin Wang, Hangqi Fan, He Kong
CCS-GAD: A Collaborative Contrastive Self-supervised Learning Model for Graph Anomaly Detection International Joint Conference on Neural Networks (IJCNN), 2025 (Accepted) Rui Cao, Qi Wang, Shijie Xue, He Kong, Runliang Niu, Qianli Xing and Deyang Zhang

Service

Education

Representative Awards

Contact

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

GitHub: CrazyBayes