Ke Liang Assistant Professor PRMI Group College of Computer Science and Technology National University of Defense Technology (NUDT) Email: liangke200694@126.com     liangke200694@gmail.com Address: Deya Road, Changsha, Hunan Province, P.R. China. [GitHub][Google Scholar][DBLP][WeChat]

About Me:

Ke Liang received the Ph.D. degree from National University of Defense Technology (NUDT) advised by Prof. Xinwang Liu. Prior to joining NUDT, he was advised by Prof. Sharon Huang as a Research Support and a PhD student at College of Information Sciences and Technology in Pennsylvania State University (PSU) for 2 years from 2020. Meanwhile, he received Master of Science degree under the supervision of Prof. Gang Tan majored in Computer Science and Engneering at PSU. Before that, he got his bachelor's degree at Beihang University (BUAA). Track records for all have been proven excellent.

Research Interests: Graph Learning, Knowledge Representation and Reasoning, Multi-view Clustering

News:

1. [2025.06] Won the Outstanding Graduates of Hunan Province.
2. [2025.05] One paper has been accepted by IEEE Transactions on Image Processing (IEEE TIP).
3. [2025.05] One paper has been accepted by KDD 2025.
4. [2025.05] Five paper has been accepted by ICML 2025.
5. [2025.04] Two paper has been accepted by IJCAI 2025.
6. [2025.04] One paper has been accepted by Expert Systems With Applications (ESWA).
7. [2025.03] One paper has been accepted by IEEE Transactions on Multimedia (IEEE TMM).
8. [2025.03] Our Survey (IEEE TPAMI 2024) paper is featured as a ESI Hot Paper.
9. [2025.03] Our S2T (IEEE TNNLS 2024) paper is featured as a ESI Highly Cited Paper.
10. [2025.03] Honor to serve as the Area Chair for ACM MM 2025.
11. [2025.02] Three papers have been accepted by CVPR 2025.
12. [2025.01] Honor to serve as the Area Chair for Applied Data Science Track of ECML-PKDD 2025.
13. [2025.01] Honor to serve as the Session Co-Chair for ACAIT 2025.
14. [2024.12] Won the Outstanding Graduates of NUDT (Only 5 Ph.D. Students in Total).
15. [2024.12] Honor to serve as the Senior Program Committee Member for IJCAI 2025.
16. [2024.12] Honor to serve as the Area Chair for IJCNN 2025.
17. [2024.12] Two papers have been accepted by AAAI 2025.
18. [2024.12] Won China National Scholarship.
19. [2024.11] Successfully passed Ph.D. dissertation defense titled Research on Graph Representation Learning Methods for Knowledge Graph Reasoning [moments]".
20. [2024.10] Talk on "Structural Knowledge Representation and Reasoning" PhD. Workshop, The 7th Chinese Conference on Pattern Recognition and Computer Vision PRCV 2024.
21. [2024.10] One paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
22. [2024.09] Two papers have been accepted by NeurIPS 2024.
23. [2024.09] One paper has been accepted by Briefings in Bioinformatics (BIB).
24. [2024.09] One paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
25. [2024.08] One paper has been accepted by IEEE Transactions on Multimedia (IEEE TMM).
26. [2024.07] One paper has been accepted by VLDB 2024: PhD Workshop.
27. [2024.07] Two papers have been accepted by ACM MM 2024.
28. [2024.07] Our KGE-SymCL (IEEE TKDE 2023) paper is featured as a ESI Highly Cited Paper.
29. [2024.06] Talk on "Better Learning from Graph Structures: Research on Representation Learning for Knowledge Graph Reasoning" 26th MLNLP 2024 Academic Workshop, Online, Organized by MLNLP.
30. [2024.06] One paper has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI).
31. [2024.05] Win the Second Prize of Outstanding College Student Academic Show CCF Young Elite Forum (YEF) 2024.
32. [2024.05] One paper has been accepted by IEEE Transactions on Fuzzy Systems (IEEE TFS).
33. [2024.04] Talk on "Temporal Graph Clustering" Temporal Graph Reading Group, Online, Organized by McGill University & Mila.
34. [2024.04] One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
35. [2024.03] One paper has been accepted by ICME 2024.
36. [2024.02] One paper has been accepted by Briefings in Bioinformatics (BIB).
37. [2024.02] One paper has been accepted by CVPR 2024.
38. [2024.02] Win the Annual Advanced Student Award of the School.
39. [2024.01] One paper has been accepted by ICLR 2024.
40. [2024.01] One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
41. [2023.12] Two papers have been accepted by AAAI 2024.
42. [2023.10] One paper has been accepted by eLife.
43. [2023.10] Win the Best Student Paper of CCHI 2023.
44. [2023.10] Win the "First Prize @ The 15th Fudan University Doctoral Academic Forum - Information Science and Technology.
45. [2023.10] Talk on "Contrastive Learning on Knowledge Graph Embedding" @ The 15th Fudan University Doctoral Academic Forum - Information Science and Technology.
46. [2023.09] Talk on "Knowledge Graph Reasoning" @ MindSpore, Huawei.
47. [2023.07] Six papers have been accepted by ACM MM 2023.
48. [2023.06] One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
49. [2023.06] The temperal graph clustering benchmark arXiv4TGC is built and released.
50. [2023.06] One paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
51. [2023.05] One paper has been accepted by Briefings in Bioinformatics (BIB).
52. [2023.04] One paper has been accepted by ICML 2023.
53. [2023.04] One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
54. [2023.04] One paper has been accepted by SIGIR 2023.
55. [2023.01] One paper has been accepted by Pattern Analysis and Applications (PAA).
56. [2022.12] Our repository Awesome Knowledge Graph Reasoning (AKGR) is online.
57. [2022.11] Our repository Awesome Deep Graph Clustering (ADGC) is online.
58. [2022.11] One paper has been accepted by AAAI 2023.

MORE

Selected Publications (* denotes the co-first or co-corresponding author) [Full List]

2025
TMM		MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He. IEEE Transactions on Multimedia (IEEE TMM). [Paper]
TIP		Eyes on Islanded Nodes: Better Reasoning via Structure Augmentation and Feature Co-Training on Bi-level Knowledge Graphs Hao Li, Ke Liang*, Wenjing Yang, Lingyuan Meng, Yaohua Wang, Sihang Zhou, Xinwang Liu. IEEE Transactions on Image Processing (IEEE TIP). [Paper]
ICML		Flow Matching for Denoised Social Recommendation Yinxuan Huang, Ke Liang*, Jingao Xu, Zhuofan Dong, Xiaodong Qu, Yue Han, Wang Tianxiang, Bin Zhou, Ye Wang. The 42nd International Conference on Machine Learning (ICML 2025). [Paper]
IJCAI		FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing Lingyuan Meng, Ke Liang*, Zeyu Zhu, Xinwang Liu. The 34th International Joint Conference on Artificial Intelligence (IJCAI 25). [Paper]
AAAI		Social Recommendation via Graph-Level Counterfactual Augmentation Yinxuan Huang, Ke Liang*, Yanyi Huang, Xiang Zeng, Kai Chen, Bin Zhou. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 25). [Paper]
2024
TPAMI		A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) (ESI Hot Paper) [Paper] [Project]
NeurIPS		Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 24). [Paper]
ACM MM		Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Siwei Wang, Suyuan Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu. The 32st ACM International Conference on Multimedia (ACM MM 24) [Paper]
AAAI		MINES: Message Intercommunication for Inductive Relation Reasoning Over Neighbor-Enhanced Subgraphs Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xiangjun Dong, Xinwang Liu. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024) [Paper]
AAAI		Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024) [Paper]
VLDB		Better Learning from Graph Structures: Research on Representation Learning for Knowledge Graph Reasoning Ke Liang. The 50th International Conference on Very Large Databases (VLDB 24). [Paper]
TKDE		FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning Lingyuan Meng, Ke Liang*, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). [Paper]
TNNLS		SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-shot Relation Reasoning Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS). [Paper]
TNNLS		Self-Supervised Temporal Graph Learning with Temporal and Structural Intensity Alignment Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) (ESI Highly Cited Paper) [Paper]
2023
TKDE		Knowledge Graph Contrastive Learning based on Relation-Symmetrical Structure Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (ESI Highly Cited Paper) [Paper]
SIGIR		Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023) [Paper]
PAA		ABSLearn: A GNN-based Framework for Aliasing and Buffer-Size Information Retrieval Ke Liang, Jim Tan, Dongrui Zeng, Yongzhe Huang, Sharon X. Huang, Gang Tan. Pattern Analysis and Applications (PAA) [Paper]
ACM MM		TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification Meng Liu, Ke Liang*, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu. The 31st ACM International Conference on Multimedia (ACM MM 2023) [Paper]

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