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Journal Articles
- 2024
[j9]Changan Liu, Changjun Fan, Zhongzhi Zhang:
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach. Comput. J. 67(2): 463-473 (2024)- [j8]Chongxiao Qu, Changjun Fan, Yufeng Wang, Ming Liu, Yongjin Zhang:
A game theory based approach for distributed dynamic spectrum access. Evol. Intell. 17(1): 275-282 (2024) - [j7]Weixin Zeng
, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11692-11705 (2024) - 2022
- [j6]Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu:
Meta-path-based heterogeneous graph neural networks in academic network. Int. J. Mach. Learn. Cybern. 13(6): 1553-1569 (2022) - 2021
- [j5]Changjun Fan, Fei Gao:
Enhanced Human Activity Recognition Using Wearable Sensors via a Hybrid Feature Selection Method. Sensors 21(19): 6434 (2021) - 2020
- [j4]Changjun Fan, Fei Gao:
A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest. IEEE Access 8: 120835-120849 (2020) - [j3]Changjun Fan, Li Zeng, Yanghe Feng, Baoxin Xiu, Jincai Huang, Zhong Liu:
Revisiting the power of reinsertion for optimal targets of network attack. J. Cloud Comput. 9: 24 (2020) - [j2]Changjun Fan, Li Zeng, Yanghe Feng, Guangquan Cheng, Jincai Huang, Zhong Liu:
A novel learning-based approach for efficient dismantling of networks. Int. J. Mach. Learn. Cybern. 11(9): 2101-2111 (2020) - [j1]Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu:
Finding key players in complex networks through deep reinforcement learning. Nat. Mach. Intell. 2(6): 317-324 (2020)
Conference and Workshop Papers
- 2024
- [c9]Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang:
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. IJCAI 2024: 2551-2560 - 2021
- [c8]Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang:
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. AAAI 2021: 4732-4740 - [c7]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Reinforced Active Entity Alignment. CIKM 2021: 2477-2486 - 2020
- [c6]Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo:
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. EMNLP (Findings) 2020: 3227-3238 - 2019
- [c5]Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. CIKM 2019: 559-568 - 2016
- [c4]Changjun Fan, Bao-Xin Xiu, Zhong Liu, Chao Chen, Yao Yang:
Topology Reconstruction for Target Operation Network (TON): A Link Prediction Perspective. INC 2016: 55-62 - [c3]Changjun Fan, Zhong Liu, Bao-Xin Xiu, Lianfei Yu:
Missing and Spurious Interactions in Heterogeneous Military Networks. SMP 2016: 14-28 - 2014
- [c2]Changjun Fan, Kaiming Xiao, Bao-Xin Xiu, Guodong Lv:
A fuzzy clustering algorithm to detect criminals without prior information. ASONAM 2014: 238-243 - 2012
- [c1]Ziyu Lu, Ling Chen, Changjun Fan, Gencai Chen:
Physiological Signals Based Fatigue Prediction Model for Motion Sensing Games. Advances in Computer Entertainment 2012: 533-536
Informal and Other Publications
- 2024
- [i11]Tianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu:
Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning. CoRR abs/2404.04661 (2024) - [i10]Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang:
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. CoRR abs/2405.13075 (2024) - 2023
- [i9]Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu:
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. CoRR abs/2307.03937 (2023) - [i8]Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu:
The Expressive Power of Graph Neural Networks: A Survey. CoRR abs/2308.08235 (2023) - [i7]Changan Liu, Changjun Fan, Zhongzhi Zhang:
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach. CoRR abs/2309.07153 (2023) - [i6]Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, Junchi Yan:
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation. CoRR abs/2312.08103 (2023) - 2020
- [i5]Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo:
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. CoRR abs/2010.03158 (2020) - [i4]Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang:
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. CoRR abs/2012.08492 (2020) - 2019
- [i3]Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. CoRR abs/1905.10418 (2019) - [i2]Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. CoRR abs/1905.13728 (2019) - 2014
- [i1]Baoxin Xiu, Changjun Fan, Meilian Liang:
On Disjoint Golomb Rulers. CoRR abs/1405.4535 (2014)
Coauthor Index
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