Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features. - Weixin Zeng; Jiuyang Tang; Xiang Zhao 002; Bin Ge; Weidong Xiao (ICONIP (3), 2018)

Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion. - Jinzhi Liao; Jiuyang Tang; Weixin Zeng; Xiang Zhao 002 (IEEE Access, 2018)

Entity Linking on Chinese Microblogs via Deep Neural Network. - Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (IEEE Access, 2018)

Collective List-Only Entity Linking: A Graph-Based Approach. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Haichuan Shang (IEEE Access, 2018)

Relevance-Based Entity Embedding. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Jinzhi Liao; Chang-Dong Wang 001 (DASFAA (3), 2019)

Iterative Entity Alignment with Improved Neural Attribute Embedding. - Ning Pang; Weixin Zeng; Jiuyang Tang; Zhen Tan; Xiang Zhao 002 (DL4KG@ESWC, 2019)

Iterative Representation Learning for Entity Alignment Leveraging Textual Information. - Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (PKDD/ECML Workshops (1), 2019)

Collective Embedding-based Entity Alignment via Adaptive Features. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Xuemin Lin 001 (CoRR, 2019)

Research on the Realization Method of Augmented Reality based on Unity3D. - Jiwu Wang; Weixin Zeng (J. Robotics Netw. Artif. Life, 2019)

Measuring Entity Relatedness via Entity and Text Joint Embedding. - Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (Neural Process. Lett., 2019)

Entity Linking via Symmetrical Attention-Based Neural Network and Entity Structural Features. - Shengze Hu; Zhen Tan; Weixin Zeng; Bin Ge; Weidong Xiao (Symmetry, 2019)

Collective Entity Alignment via Adaptive Features. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Xuemin Lin 001 (ICDE, 2020)

CLEEK: A Chinese Long-text Corpus for Entity Linking. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Zhen Tan; Xuqian Huang (LREC, 2020)

Degree-Aware Alignment for Entities in Tail. - Weixin Zeng; Xiang Zhao 002; Wei Wang 011; Jiuyang Tang; Zhen Tan (SIGIR, 2020)

Domain relation extraction from noisy Chinese texts. - Ning Pang; Zhen Tan; Xiang Zhao 002; Weixin Zeng; Weidong Xiao (Neurocomputing, 2020)

MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning. - Kunjia Liu; Xiang Zhao 002; Jiuyang Tang; Weixin Zeng; Jinzhi Liao; Feng Tian 002; Qinghua Zheng; Jingquan Huang; Ao Dai (CCKS, 2021)

Reinforced Active Entity Alignment. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Changjun Fan (CIKM, 2021)

Towards Entity Alignment in the Open World: An Unsupervised Approach. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Xinyi Li 001; Minnan Luo; Qinghua Zheng (DASFAA (1), 2021)

Multi-modal entity alignment in hyperbolic space. - Hao Guo; Jiuyang Tang; Weixin Zeng; Xiang Zhao 002; Li Liu (Neurocomputing, 2021)

Knowledge graph embedding by relational and entity rotation. - Xuqian Huang; Jiuyang Tang; Zhen Tan; Weixin Zeng; Ji Wang 002; Xiang Zhao 002 (Knowl. Based Syst., 2021)

Reinforcement Learning-based Collective Entity Alignment with Adaptive Features. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Xuemin Lin 001; Paul Groth (ACM Trans. Inf. Syst., 2021)

To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs. - Jinzhi Liao; Xiang Zhao 002; Jiuyang Tang; Weixin Zeng; Zhen Tan (World Wide Web, 2021)

Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment. - Jiuyang Tang; Zhen Tan; Hao Guo; Xuqian Huang; Weixin Zeng; Huang Peng (APWeb/WAIM (1), 2022)

Few-Shot Relational Triple Extraction with Perspective Transfer Network. - Junbo Fei; Weixin Zeng; Xiang Zhao 002; Xuanyi Li; Weidong Xiao (CIKM, 2022)

Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling. - Xiang Zhao 002; Weixin Zeng; Jiuyang Tang; Xinyi Li 001; Minnan Luo; Qinghua Zheng (Data Sci. Eng., 2022)

An Experimental Study of State-of-the-Art Entity Alignment Approaches. - Xiang Zhao 002; Weixin Zeng; Jiuyang Tang; Wei Wang 011; Fabian M. Suchanek (IEEE Trans. Knowl. Data Eng., 2022)

On entity alignment at scale. - Weixin Zeng; Xiang Zhao 002; Xinyi Li 001; Jiuyang Tang; Wei Wang 011 (VLDB J., 2022)

Entity Alignment - Concepts, Recent Advances and Novel Approaches - Xiang Zhao 002; Weixin Zeng; Jiuyang Tang (Springer, 2023)

Policy-Oriented Object Ranking with High-Dimensional Data: A Case Study of Olympic Host Country or Region Selection. - Hengrui Cui; Jiaxing He; Weixin Zeng (WISA, 2023)

Knowledge Graph Completion with Fused Factual and Commonsense Information. - Changsen Liu; Jiuyang Tang; Weixin Zeng; Jibing Wu; Hongbin Huang (WISA, 2023)

Negation: An Effective Method to Generate Hard Negatives. - Yaqing Sheng; Weixin Zeng; Jiuyang Tang (APWeb/WAIM Workshops, 2023)

Interpretable Fake News Detection with Graph Evidence. - Hao Guo; Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (CIKM, 2023)

Personalized Federated Relation Classification over Heterogeneous Texts. - Ning Pang; Xiang Zhao 002; Weixin Zeng; Ji Wang 002; Weidong Xiao (SIGIR, 2023)

Open Knowledge Base Canonicalization with Multi-task Unlearning. - Bingchen Liu; Shihao Hou; Weixin Zeng; Xiang Zhao 002; Shijun Liu; Li Pan 001 (CoRR, 2023)

Node Importance Estimation with Multiview Contrastive Representation Learning. - Li Liu; Weixin Zeng; Zhen Tan; Weidong Xiao; Xiang Zhao 002 (Int. J. Intell. Syst., 2023)

Active Temporal Knowledge Graph Alignment. - Jie Zhou; Weixin Zeng; Hao Xu; Xiang Zhao 002 (Int. J. Semantic Web Inf. Syst., 2023)

Few-shot named entity recognition with hybrid multi-prototype learning. - Zenghua Liao; Junbo Fei; Weixin Zeng; Xiang Zhao 002 (World Wide Web (WWW), 2023)

Cross-view graph contrastive learning with hypergraph. - Jianian Zhu; Weixin Zeng; Junfeng Zhang; Jiuyang Tang; Xiang Zhao 002 (Inf. Fusion, 2023)

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. - Weixin Zeng; Xiang Zhao 002; Zhen Tan; Jiuyang Tang; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2023)

Benchmarking Challenges for Temporal Knowledge Graph Alignment. - Weixin Zeng; Jie Zhou; Xiang Zhao 002 (CIKM, 2024)

M3: A Multi-Image Multi-Modal Entity Alignment Dataset. - Shiqi Zhang; Weixin Zeng; Zhen Tan; Xiang Zhao 002; Weidong Xiao (CIKM, 2024)

Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis. - Runhao Zhao; Jiuyang Tang; Weixin Zeng; Ziyang Chen; Xiang Zhao 002 (CIKM, 2024)

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. - Weixin Zeng; Xiang Zhao 002; Zhen Tan; Jiuyang Tang; Xueqi Cheng (ICDE, 2024)

Open Knowledge Base Canonicalization with Multi-task Learning. - Bingchen Liu; Huang Peng; Weixin Zeng; Xiang Zhao 002; Shijun Liu; Li Pan 001 (CoRR, 2024)

Dismantling complex networks with graph contrastive learning and multi-hop aggregation. - Siqi Ma; Weixin Zeng; Weidong Xiao; Xiang Zhao 002 (Inf. Sci., 2024)

SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction. - Ning Pang; Xiang Zhao 002; Weixin Zeng; Zhen Tan; Weidong Xiao (Trans. Assoc. Comput. Linguistics, 2024)

Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Changjun Fan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Open knowledge base canonicalization with multi-task learning. - Bingchen Liu; Huang Peng; Weixin Zeng; Xiang Zhao 002; Shijun Liu; Li Pan 001; Xin Li (World Wide Web (WWW), 2024)

Hyperedge Graph Contrastive Learning. - Junfeng Zhang; Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2024)

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. - Hao Guo; Zihan Ma 001; Zhi Zeng; Minnan Luo; Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (AAAI, 2025)

Multi-Modal Entities Matter: Benchmarking Multi-Modal Entity Alignment. - Guanchen Xiao; Weixin Zeng; Shiqi Zhang; Mingrui Lao; Xiang Zhao 002 (COLING, 2025)

IKGA: An Interactive Visualization Tool for Knowledge Graph Alignment. - Weixin Zeng; Shiqi Zhang; Huang Peng; Zhen Tan; Weidong Xiao; Xiang Zhao 002 (ICDE, 2025)

Hyperedge Graph Contrastive Learning [Extended abstract]. - Junfeng Zhang; Weixin Zeng; Jiuyang Tang; Xiang Zhao 002 (ICDE, 2025)

Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs. - Runhao Zhao; Weixin Zeng; Jiuyang Tang; Yawen Li; Guanhua Ye; Junping Du; Xiang Zhao 002 (ICDE, 2025)

Open knowledge graph completion with negative-aware representation learning and multi-source reliability inference. - Huang Peng; Weixin Zeng; Jiuyang Tang; Mao Wang; Hongbin Huang; Xiang Zhao 002 (Inf. Fusion, 2025)

Active in-context learning for cross-domain entity resolution. - Ziheng Zhang; Weixin Zeng; Jiuyang Tang; Hongbin Huang; Xiang Zhao 002 (Inf. Fusion, 2025)

Confusing negative commonsense knowledge generation with hierarchy modeling and LLM-enhanced filtering. - Yaqing Sheng; Weixin Zeng; Jiuyang Tang; Lihua Liu 002; Xiang Zhao 002 (Inf. Process. Manag., 2025)

Towards human-like questioning: Knowledge base question generation with bias-corrected reinforcement learning from human feedback. - Runhao Zhao; Jiuyang Tang; Weixin Zeng; Yunxiao Guo; Xiang Zhao 002 (Inf. Process. Manag., 2025)

StaRS: Learning a Stable Representation Space for Continual Relation Classification. - Ning Pang; Xiang Zhao 002; Weixin Zeng; Zhen Tan; Weidong Xiao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Temporal Knowledge Graph Alignment in the Wild. - Runhao Zhao; Weixin Zeng; Wentao Zhang; Xiang Zhao 002; Jiuyang Tang; Lei Chen (CoRR, 2025)

DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction. - Tianyang Shao; Weixin Zeng; Xiang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2025)