Short Bio

I am currently an associate professor (employed by the university) at College of Systems Engineering, National University of Defense Technology (NUDT), China, where I obtained my PhD degree under the supervision of Prof. Jiuyang Tang and Prof. Xiang Zhao in 2022, and the Bachelor’s Degree in 2017.

My research interests include: Knowledge Graph and Data Management.

Looking for master’s students to work on big data, knowledge engineering and NLP!

Selected Publications

• [ICDE’25] Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs. Runhao Zhao, Weixin Zeng, Jiuyang Tang, Yawen Li, Guanhua Ye, Junping Du, Xiang Zhao.
• [ICDE’25] IKGA: An Interactive Visualization Tool for Knowledge Graph Alignment. Demo track. Weixin Zeng, Shiqi Zhang, Huang Peng, Zhen Tan, Weidong Xiao, Xiang Zhao.
• [AAAI’25] Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao.
• [TKDE’24] Hyperedge Graph Contrastive Learning. IEEE TKDE, 2024 & IEEE ICDE 2025, Extended abstract. Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao.
• [TACL’24] SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction. Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao.
• [TNNLS’24] StaRS: Learning a Stable Representation Space for Continual Relation Classification. Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao.
• [CIKM’24] Benchmarking Challenges for Temporal Knowledge Graph Alignment. Weixin Zeng, Jie Zhou, Xiang Zhao.
• [CIKM’24] Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis. Runhao Zhao, Jiuyang Tang, Weixin Zeng*, Ziyang Chen, Xiang Zhao.
• [CIKM’24] M3: A Multi-Image Multi-Modal Entity Alignment Dataset. [resource paper]. Shiqi Zhang, Weixin Zeng*, Zhen Tan, Weidong Xiao, Xiang Zhao.
• [TKDE’23] Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE TKDE, 2023 & IEEE ICDE 2024, Extended abstract. Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng.
• [TNNLS’23] Knowledge Graph Alignment under Scarce Supervision A General Framework with Active Cross-View Contrastive Learning. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan.
• [SIGIR’23] Personalized Federated Relation Classification over Heterogeneous Texts, Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao.
• [CIKM’23] Interpretable Fake News Detection with Graph Evidence, Hao Guo, Weixin Zeng*, Jiuyang Tang, Xiang Zhao.
• [VJDBJ’22] On Entity Alignment at Scale. The VLDB Journal, 2022. Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, Wei Wang.
• [CIKM’22] Few-Shot Relational Triple Extraction with Perspective Transfer Network, Junbo Fei, Weixin Zeng*, Xiang Zhao, Xuanyi Li, Weidong Xiao.
• [TKDE’22] An Experimental Study of State-of-the-Art Entity Alignment Approaches, 34(6), 2610-2625. Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian M. Suchanek.
• [TOIS’21] Reinforcement Learning based Collective Entity Alignment with Adaptive Features, 39, 3, 31 pages, 2021. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth.
• [CIKM’21] Reinforced Active Entity Alignment, Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan.
• [DASFAA’21] Towards Entity Alignment in the Open World: An Unsupervised Approach. [Best Paper Award], Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng.
• [SIGIR’20] Degree-Aware Alignment for Entities in Tail, 811–820, Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan.
• [ICDE’20] Collective Entity Alignment via Adaptive Features, 1870-1873.[short]. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin.
• [DASFAA’19] Relevance-based Entity Embedding, 300-304. [short]. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang.
• 基于重排序的迭代式实体对齐. 计算机研究与发展, 2020, 57(7): 1460-1471. 曾维新, 赵翔, 唐九阳, 谭真, 王炜.

Other Publications

• Confusing Negative Commonsense Knowledge Generation with Hierarchy Modeling and LLM-enhanced Filtering, IPM, 2025, Yaqing Sheng, Weixin Zeng*, Jiuyang Tang, Lihua Liu and Xiang Zhao.
• Towards Human-like Questioning: Knowledge Base Question Generation with Bias-corrected Reinforcement Learning from Human Feedback, IPM, 2025, Runhao Zhao, Jiuyang Tang, Weixin Zeng, Ziyang Chen, Xiang Zhao.
• Open Knowledge Graph Completion with Negative-aware Representation Learning and Multi-source Reliability Inference, Information Fusion, 2025, Huang Peng, Weixin Zeng*, Jiuyang Tang∗, Mao Wang, Hongbin Huang, Xiang Zhao.
• Active In-Context Learning for Cross-Domain Entity Resolution, Information Fusion, 2025, Ziheng Zhang, Weixin Zeng*, Jiuyang Tang, Hongbin Huang, Xiang Zhao.
• Towards Privacy-preserving Personalized Federated Relation Classification, TBD, 2025, Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao.
• Educational Knowledge Graph Question Answering: Insights from Benchmarks and LLM-based Solutions, TAI, 2025, Runhao Zhao, Weixin Zeng, Jiuyang Tang, Feng Tian, Xiang Zhao.
• Dual Sequence Modeling for Knowledge Tracing, Data Sci. Eng., 2025, Qian Ning, Chengyu Guo, Kunjia Liu, Jiuyang Tang, Shiqi Zhang; Weixin Zeng*, Xiang Zhao.
• Open Knowledge Base Canonicalization with Multi-task Learning, World Wide Web, 2024, Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan.
• Dismantling Complex Networks with Graph Contrastive Learning and Multi-hop Aggregation, Information Sciences, 2024, Siqi Ma, Weixin Zeng, Weidong Xiao and Xiang Zhao.
• Cross-view Graph Contrastive Learning with Hypergraph, Information Fusion, 2023, Jianian Zhu, Weixin Zeng, Junfeng Zhang, Jiuyang Tang, Xiang Zhao.
• Node Importance Estimation with Multi-view Contrastive Representation Learning, International Journal of Intelligent Systems, 2023, Li Liu, Weixin Zeng*, Zhen Tan, Weidong Xiao, Xiang Zhao.
• Few-Shot Named Entity Recognition with Hybrid Multi-Prototype Learning. World Wide Web, 2023, Zenghua Liao, Junbo Fei, Weixin Zeng, Xiang Zhao.
• Active Temporal Knowledge Graph Alignment. International Journal on Semantic Web and Information Systems (IJSWIS), 2023, Jie Zhou, Weixin Zeng, Hao Xu, Xiang Zhao.
• To Hop or Not, That is the Question: Towards Effective Multi-hop Reasoning over Knowledge Graphs. World Wide Web, 2021, Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Zhen Tan.
• Domain Relation Extraction from Noisy Chinese Texts. Neurocomputing, 2020, Ning Pang, Zhen Tan, Xiang Zhao, Weixin Zeng, Weidong Xiao.
• Multi-modal Entity Alignment in Hyperbolic Space. Neurocomputing, 2021, Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu.
• Knowledge Graph Embedding by Relational and Entity Rotation. Knowledge-Based Systems, 2021, Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao.
• Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features. In Proceedings of 25th International Conference on Neural Information Processing (ICONIP), 2018, Weixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao.
• CLEEK: A Chinese Long-text Corpus for Entity Linking. In Proceedings of the 12th Language Resources and Evaluation Conference (LREC), 2020, Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang.
• Measuring Entity Relatedness via Entity and Text Joint Embedding. Neural Processing Letters, 2019, Weixin Zeng, Jiuyang Tang, Xiang Zhao.

Professional Services

• Invited journal reviewers for: IEEE TKDE, IEEE TPAMI, ACM TKDD, Knowledge-based Systems (KBS), The Journal of the Association for Information Science and Technology (JASIST), Knowledge and Information Systems (KAIS)…
• Member of program committees: ACL: 2021, 2022, 2023, 2024; AAAI 2021, 2022; EMNLP: 2021, 2022, 2023; COLING: 2020, 2022, 2024, DASFAA, 2023; CCKS.
• ACL ARR Action Editor