Changjun Fan

According to our database, Changjun Fan authored at least 34 papers between 2012 and 2025.

Collaborative distances:

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

2025

The Expressive Power of Graph Neural Networks: A Survey.

Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu

IEEE Trans. Knowl. Data Eng., March, 2025

DTIU: A self-supervised grid-enhanced diffusion model for trajectory imputation in unconstrained scenarios.

Zhijing Hu, Hao Yan, Kuihua Huang, Jin-Cai Huang, Zhong Liu, Changjun Fan

Knowl. Based Syst., 2025

EvoPath: Evolutionary meta-path discovery with large language models for complex heterogeneous information networks.

Shixuan Liu, Haoxiang Cheng, Yunfei Wang, Yue He, Changjun Fan, Zhong Liu

Inf. Process. Manag., 2025

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

2024

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.

Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning.

Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach.

Changan Liu, Changjun Fan, Zhongzhi Zhang

Comput. J., February, 2024

A game theory based approach for distributed dynamic spectrum access.

Chongxiao Qu, Changjun Fan, Yufeng Wang, Ming Liu, Yongjin Zhang

Evol. Intell., 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

PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling.

Yunfei Wang, Shixuan Liu, Wenhao Wang, Cheng Zhu, Changjun Fan, Kuihua Huang, Chao Chen

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement.

Jie Kang, Shixuan Liu, Kuihua Huang, Changjun Fan, Hua He, Chao Chen

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 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

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 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

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.

Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the IEEE International Conference on Data Mining, 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

Proceedings of the IEEE International Conference on Data Mining, 2024

FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference.

Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation.

Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, Junchi Yan

CoRR, 2023

2022

Meta-path-based heterogeneous graph neural networks in academic network.

Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu

Int. J. Mach. Learn. Cybern., 2022

2021

Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method.

Changjun Fan, Fei Gao

Sensors, 2021

Reinforced Active Entity Alignment.

Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks.

Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Finding key players in complex networks through deep reinforcement learning.

Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu

Nat. Mach. Intell., 2020

A novel learning-based approach for efficient dismantling of networks.

Changjun Fan, Li Zeng, Yanghe Feng, Guangquan Cheng, Jincai Huang, Zhong Liu

Int. J. Mach. Learn. Cybern., 2020

Revisiting the power of reinsertion for optimal targets of network attack.

Changjun Fan, Li Zeng, Yanghe Feng, Baoxin Xiu, Jincai Huang, Zhong Liu

J. Cloud Comput., 2020

A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest.

Changjun Fan, Fei Gao

IEEE Access, 2020

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.

Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.

Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun

CoRR, 2019

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.

Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2016

Missing and Spurious Interactions in Heterogeneous Military Networks.

Changjun Fan, Zhong Liu, Bao-Xin Xiu, Lianfei Yu

Proceedings of the Social Media Processing - 5th National Conference, 2016

Topology Reconstruction for Target Operation Network (TON): A Link Prediction Perspective.

Changjun Fan, Bao-Xin Xiu, Zhong Liu, Chao Chen, Yao Yang

Proceedings of the Eleventh International Network Conference, 2016

2014

On Disjoint Golomb Rulers.

Baoxin Xiu, Changjun Fan, Meilian Liang

CoRR, 2014

A fuzzy clustering algorithm to detect criminals without prior information.

Changjun Fan, Kaiming Xiao, Bao-Xin Xiu, Guodong Lv

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2012

Physiological Signals Based Fatigue Prediction Model for Motion Sensing Games.

Ziyu Lu, Ling Chen, Changjun Fan, Gencai Chen

Proceedings of the Advances in Computer Entertainment - 9th International Conference, 2012