Ke Liang
PhD Candidate

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 is a PhD student in 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:


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

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).
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).
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)
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)
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)
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).
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).
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).
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).
CVPR
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu.
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024).
BIB
Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data
Dayu Hu, Ke Liang, Zhibin Dong, Jun Wang, Yawei Zhao, Kunlun He.
Briefings in Bioinformatics (BIB).
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)
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)
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)
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)
ACM MM
Reinforcement Graph Clustering with Unknown Cluster Number
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li.
The 31st ACM International Conference on Multimedia (ACM MM 2023)
ICML
Dink-Net: Neural Clustering on Large Graphs
Yue Liu, Ke Liang, Xinwang Liu, Jun Xia, Sihang Zhou, Xihong Yang, Stan Z. Li.
The 40th International Conference on Machine Learning (ICML 2023)
eLife
Quantitative Geometry of Blood Cells Extracted from X-Ray Histotomographic Images of Whole Zebrafish
Maksim A. Yakovlev, Ke Liang, Carolyn R. Zaino, Daniel J. Vanselow, Andrew L. Sugarman, Alex Y. Lin, Patrick J. La Riviere, Yuxi Zheng, Justin D. Silverman, John C. Leichty, Sharon X. Huang, Keith C. Cheng
eLife.
BIB
scDFC: A deep fusion clustering method for single-cell RNA-seq data
Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu.
Briefings in Bioinformatics (BIB)
2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application
Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu.
Preprint. Under Review.
2021
PSU
Inferring Aliasing and Buffer Size Relationship in C Via Graph Neural Networks
Ke Liang.
Master Thesis


Academic Service:

Reviewer for ICLR 2024, ICML 2024, NeurIPS 2023-2024, AAAI 2023-2025, ACML 2024
Reviewer for SIGKDD 2024, WWW 2024, CIKM 2023-2024, WSDM 2024-2025, LOG 2024, DASFAA 2024
Reviewer for CVPR 2025, ACL ARR, ACM MM 2023-2024, ECCV 2024, EMNLP 2023-2024, COLING 2025, MICCAI 2024, ICME 2024, ICASSP 2024
Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Reviewer for IEEE Transactions on Cybernetics (TCYB)
Reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Reviewer for IEEE Transactions on Mobile Computing (TMC)
Reviewer for IEEE Transactions on Knowledge Discovery from Data (TKDD)
Reviewer for IEEE Transactions on Human-Machine Systems (THMS)
Reviewer for ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Reviewer for Transactions on Machine Learning Research (TMLR)
Reviewer for Pattern Recognition (PR)
Reviewer for Neural Networks (NN)
Reviewer for Engineering Applications of Artificial Intelligence (EAAI)
Reviewer for Biomedical Signal Processing & Control (BSPC)
Reviewer for Machine Vision and Applications (MVA)
Reviewer for Neurocomputing
Reviewer for Neural Processing Letters (NPL)