Physiological Signals Based Fatigue Prediction Model for Motion Sensing Games. - Ziyu Lu; Ling Chen 001; Changjun Fan; Gencai Chen (Advances in Computer Entertainment, 2012)

A fuzzy clustering algorithm to detect criminals without prior information. - Changjun Fan; Kaiming Xiao; Bao-Xin Xiu; Guodong Lv (ASONAM, 2014)

On Disjoint Golomb Rulers. - Baoxin Xiu; Changjun Fan; Meilian Liang (CoRR, 2014)

Topology Reconstruction for Target Operation Network (TON): A Link Prediction Perspective. - Changjun Fan; Bao-Xin Xiu; Zhong Liu 002; Chao Chen; Yao Yang (INC, 2016)

Missing and Spurious Interactions in Heterogeneous Military Networks. - Changjun Fan; Zhong Liu 002; Bao-Xin Xiu; Lianfei Yu (SMP, 2016)

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. - Changjun Fan; Li Zeng; Yuhui Ding; Muhao Chen 001; Yizhou Sun; Zhong Liu 002 (CIKM, 2019)

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. - Ziniu Hu; Changjun Fan; Ting Chen 007; Kai-Wei Chang; Yizhou Sun (CoRR, 2019)

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. - Xuelu Chen; Muhao Chen 001; Changjun Fan; Ankith Uppunda; Yizhou Sun; Carlo Zaniolo (EMNLP (Findings), 2020)

A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest. - Changjun Fan; Fei Gao 014 (IEEE Access, 2020)

Revisiting the power of reinsertion for optimal targets of network attack. - Changjun Fan; Li Zeng; Yanghe Feng; Baoxin Xiu; Jincai Huang 001; Zhong Liu 002 (J. Cloud Comput., 2020)

A novel learning-based approach for efficient dismantling of networks. - Changjun Fan; Li Zeng; Yanghe Feng; Guangquan Cheng; Jincai Huang 001; Zhong Liu 002 (Int. J. Mach. Learn. Cybern., 2020)

Finding key players in complex networks through deep reinforcement learning. - Changjun Fan; Li Zeng; Yizhou Sun; Yang-Yu Liu (Nat. Mach. Intell., 2020)

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. - Cunchao Zhu; Muhao Chen 001; Changjun Fan; Guangquan Cheng; Yan Zhang 080 (AAAI, 2021)

Reinforced Active Entity Alignment. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Changjun Fan (CIKM, 2021)

Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method. - Changjun Fan; Fei Gao 014 (Sensors, 2021)

Meta-path-based heterogeneous graph neural networks in academic network. - Xingxing Liang; Yang Ma; Guangquan Cheng; Changjun Fan; Yuling Yang; Zhong Liu 002 (Int. J. Mach. Learn. Cybern., 2022)

Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation. - Wenjie Wu; Changjun Fan; Jincai Huang 001; Zhong Liu 002; Junchi Yan (CoRR, 2023)

FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference. - Yuhao Zheng; Yishuo Cai; Zihao Cai; Changjun Fan; Senzhang Wang; Jianxin Wang 007 (CIKM, 2024)

Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning. - Tianle Pu; Chao Chen; Li Zeng; Shixuan Liu; Rui Sun; Changjun Fan (ICDM, 2024)

Exploratory Combinatorial Optimization Problem Solving via Gauge Transformation. - Tianle Pu; Changjun Fan; Mutian Shen; Yizhou Lu; Li Zeng; Zohar Nussinov; Chao Chen; Zhong Liu (ICDM, 2024)

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. - Shunyang Zhang; Senzhang Wang; Hao Miao 001; Hao Chen 062; Changjun Fan; Jian Zhang 048 (IJCAI, 2024)

LLM4HIN: Discovering Meta-path with Large Language Model for Reasoning on Complex Heterogeneous Information Networks. - Haoxiang Cheng; Shixuan Liu; Changjun Fan; Kuihua Huang; Hua He; Xianghan Wang; Zhong Liu 002 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

STIOS: A Novel Self-supervised Diffusion Model for Trajectory Imputation in Open Environment Scenarios. - Zhijing Hu; Hao Yan; Yuhao Zheng; Hua He; Chao Chen; Changjun Fan; Kuihua Huang (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement. - Jie Kang; Shixuan Liu; Kuihua Huang; Changjun Fan; Hua He; Chao Chen (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling. - Yunfei Wang; Shixuan Liu; Wenhao Wang; Cheng Zhu; Changjun Fan; Kuihua Huang; Chao Chen (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning. - Tianle Pu; Changjun Fan; Mutian Shen; Yizhou Lu; Li Zeng; Zohar Nussinov; Chao Chen; Zhong Liu (CoRR, 2024)

A game theory based approach for distributed dynamic spectrum access. - Chongxiao Qu; Changjun Fan; Yufeng Wang; Ming Liu; Yongjin Zhang (Evol. Intell., 2024)

Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach. - Changan Liu; Changjun Fan; Zhongzhi Zhang (Comput. J., 2024)

Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Changjun Fan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks. - Shixuan Liu; Changjun Fan; Kewei Cheng; Yunfei Wang; Peng Cui 001; Yizhou Sun; Zhong Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Finding key edges in complex network through line graph transformation and deep reinforcement learning. - Fengwei Guo; Chao Chen; Li Zeng; Tianle Pu; Feng Qing; Changjun Fan (Expert Syst. Appl., 2025)

EvoPath: Evolutionary meta-path discovery with large language models for complex heterogeneous information networks. - Shixuan Liu; Haoxiang Cheng; Yunfei Wang; Yue He 001; Changjun Fan; Zhong Liu 002 (Inf. Process. Manag., 2025)

DTIU: A self-supervised grid-enhanced diffusion model for trajectory imputation in unconstrained scenarios. - Zhijing Hu; Hao Yan; Kuihua Huang; Jin-Cai Huang 001; Zhong Liu 002; Changjun Fan (Knowl. Based Syst., 2025)

The Expressive Power of Graph Neural Networks: A Survey. - Bingxu Zhang; Changjun Fan; Shixuan Liu; Kuihua Huang; Xiang Zhao 002; Jincai Huang 001; Zhong Liu 002 (IEEE Trans. Knowl. Data Eng., 2025)