Changjun Fan

47 papers A* 5A 3B 1C 1Journal 30Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction.
AAAI
Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao Chen, Changjun Fan
2026 J jnl
Cognitive Underwater Acoustic Networking and Target Tracking: A Comprehensive Survey.
IEEE Trans. Cogn. Commun. Netw.
Zhong Yang, Zhengqiu Zhu, Yong Zhao, Yonglin Tian, Changjun Fan, Runkang Guo, Wenhao Lu, Jingwei Ge, Bin Chen, Yin Zhang, Guohua Wu, Rui Wang, Guangquan Cheng, Jincai Huang, Zhong Liu, Jun Zhang, Imre J. Rudas
2026 J jnl
NeuPath: A hybrid learning-based optimization approach for emergency search path planning.
Inf. Process. Manag.
Yingying Gao, Tianle Pu, Qingqing Yang, Zhiwei Yang, Ke-Wei Yang, Changjun Fan
2025 J jnl
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction.
CoRR
Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao Chen, Changjun Fan
2025 J jnl
DTIU: A self-supervised grid-enhanced diffusion model for trajectory imputation in unconstrained scenarios.
Knowl. Based Syst.
Zhijing Hu, Hao Yan, Kuihua Huang, Jin-Cai Huang, Zhong Liu, Changjun Fan
2025 J jnl
EvoPath: Evolutionary Meta-path Discovery with Large Language Models for Complex Heterogeneous Information Networks.
CoRR
Shixuan Liu, Haoxiang Cheng, Yunfei Wang, Yue He, Changjun Fan, Zhong Liu
2025 J jnl
EvoPath: Evolutionary meta-path discovery with large language models for complex heterogeneous information networks.
Inf. Process. Manag.
Shixuan Liu, Haoxiang Cheng, Yunfei Wang, Yue He, Changjun Fan, Zhong Liu
2025 J jnl
Finding key edges in complex network through line graph transformation and deep reinforcement learning.
Expert Syst. Appl.
Fengwei Guo, Chao Chen, Li Zeng, Tianle Pu, Feng Qing, Changjun Fan
2025 J jnl
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains.
CoRR
Tianle Pu, Zijie Geng, Haoyang Liu, Shixuan Liu, Jie Wang, Li Zeng, Chao Chen, Changjun Fan
2025 J jnl
The Expressive Power of Graph Neural Networks: A Survey.
IEEE Trans. Knowl. Data Eng.
Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu
2024 J jnl
A game theory based approach for distributed dynamic spectrum access.
Evol. Intell.
Chongxiao Qu, Changjun Fan, Yufeng Wang, Ming Liu, Yongjin Zhang
2024 A* conf
Exploratory Combinatorial Optimization Problem Solving via Gauge Transformation.
ICDM
Tianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu
2024 A conf
FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference.
CIKM
Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang
2024 J jnl
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach.
Comput. J.
Changan Liu, Changjun Fan, Zhongzhi Zhang
2024 — conf
Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Jie Kang, Shixuan Liu, Kuihua Huang, Changjun Fan, Hua He, Chao Chen
2024 J jnl
Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2024 J jnl
Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan
2024 — conf
LLM4HIN: Discovering Meta-path with Large Language Model for Reasoning on Complex Heterogeneous Information Networks.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Haoxiang Cheng, Shixuan Liu, Changjun Fan, Kuihua Huang, Hua He, Xianghan Wang, Zhong Liu
2024 — conf
PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Yunfei Wang, Shixuan Liu, Wenhao Wang, Cheng Zhu, Changjun Fan, Kuihua Huang, Chao Chen
2024 — conf
STIOS: A Novel Self-supervised Diffusion Model for Trajectory Imputation in Open Environment Scenarios.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Zhijing Hu, Hao Yan, Yuhao Zheng, Hua He, Chao Chen, Changjun Fan, Kuihua Huang
2024 A* conf
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
IJCAI
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 J jnl
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
CoRR
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 A* conf
Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning.
ICDM
Tianle Pu, Chao Chen, Li Zeng, Shixuan Liu, Rui Sun, Changjun Fan
2024 J jnl
Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning.
CoRR
Tianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu
2023 J jnl
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach.
CoRR
Changan Liu, Changjun Fan, Zhongzhi Zhang
2023 J jnl
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.
CoRR
Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu
2023 J jnl
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation.
CoRR
Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, Junchi Yan
2023 J jnl
The Expressive Power of Graph Neural Networks: A Survey.
CoRR
Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu
2022 J jnl
Meta-path-based heterogeneous graph neural networks in academic network.
Int. J. Mach. Learn. Cybern.
Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu
2021 J jnl
Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method.
Sensors
Changjun Fan, Fei Gao
2021 A* conf
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks.
AAAI
Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang
2021 A conf
Reinforced Active Entity Alignment.
CIKM
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan
2020 J jnl
A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest.
IEEE Access
Changjun Fan, Fei Gao
2020 J jnl
A novel learning-based approach for efficient dismantling of networks.
Int. J. Mach. Learn. Cybern.
Changjun Fan, Li Zeng, Yanghe Feng, Guangquan Cheng, Jincai Huang, Zhong Liu
2020 J jnl
Finding key players in complex networks through deep reinforcement learning.
Nat. Mach. Intell.
Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu
2020 J jnl
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks.
CoRR
Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang
2020 — conf
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.
EMNLP (Findings)
Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo
2020 J jnl
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.
CoRR
Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo
2020 J jnl
Revisiting the power of reinsertion for optimal targets of network attack.
J. Cloud Comput.
Changjun Fan, Li Zeng, Yanghe Feng, Baoxin Xiu, Jincai Huang, Zhong Liu
2019 A conf
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
CIKM
Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu
2019 J jnl
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
CoRR
Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu
2019 J jnl
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.
CoRR
Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun
2016 — conf
Missing and Spurious Interactions in Heterogeneous Military Networks.
SMP
Changjun Fan, Zhong Liu, Bao-Xin Xiu, Lianfei Yu
2016 — conf
Topology Reconstruction for Target Operation Network (TON): A Link Prediction Perspective.
INC
Changjun Fan, Bao-Xin Xiu, Zhong Liu, Chao Chen, Yao Yang
2014 B conf
A fuzzy clustering algorithm to detect criminals without prior information.
ASONAM
Changjun Fan, Kaiming Xiao, Bao-Xin Xiu, Guodong Lv
2014 J jnl
On Disjoint Golomb Rulers.
CoRR
Baoxin Xiu, Changjun Fan, Meilian Liang
2012 C conf
Physiological Signals Based Fatigue Prediction Model for Motion Sensing Games.
Advances in Computer Entertainment
Ziyu Lu, Ling Chen, Changjun Fan, Gencai Chen