Capabilities-Based Query Planning in Mediator Systems. - Jiuyang Tang; Weiming Zhang 003; Jun-feng Song; Weidong Xiao (IPDPS, 2004)

An Algebra for Capability Object Interoperability of Heterogeneous Data Integration Systems. - Jiuyang Tang; Weiming Zhang 003; Weidong Xiao (APWeb, 2005)

An Agent-Based P2P System to Distributed Knowledge Management. - Jiuyang Tang; Weiming Zhang 003; Weidong Xiao; Daquan Tang (SOAS, 2005)

Self-Organizing Service-Oriented Peer Communities. - Jiuyang Tang; Weiming Zhang 003; Weidong Xiao; Daquan Tang; Jun-feng Song (AICT/ICIW, 2006)

Advanced Star Coordinates. - Yang Sun; Jiuyang Tang; Daquan Tang; Weidong Xiao (WAIM, 2008)

A feedback double filtering based model for evaluating reputation in Peer-to-Peer networks. - Yi-Ping Bao; Li Yao; Weiming Zhang 003; Jiuyang Tang (ICMLC, 2010)

A Prediction-based Energy-conserving Approximate Storage and Query Processing Schema in Object-Tracking Sensor Networks. - Yi Xie 007; Weidong Xiao; Daquan Tang; Jiuyang Tang; Guoming Tang (KSII Trans. Internet Inf. Syst., 2011)

P2P-based multidimensional indexing methods: A survey. - Chong Zhang 004; Weidong Xiao; Daquan Tang; Jiuyang Tang (J. Syst. Softw., 2011)

Target Tracking with Pairwise Uncertainty in Wireless Sensor Networks: Qualitatively and Quantitatively. - Daifei Wang; Yi Xie 007; Guoming Tang; Weidong Xiao; Daquan Tang; Jiuyang Tang (CLUSTER Workshops, 2012)

A Fault-Tolerant Target-Tracking Strategy Based on Unreliable Sensing in Wireless Sensor Networks. - Yi Xie 007; Guoming Tang; Daifei Wang; Weidong Xiao; Daquan Tang; Jiuyang Tang (IPDPS Workshops, 2012)

Rethinking of the Uncertainty: A Fault-Tolerant Target-Tracking Strategy Based on Unreliable Sensing in Wireless Sensor Networks. - Yi Xie 007; Guoming Tang; Daifei Wang; Weidong Xiao; Daquan Tang; Jiuyang Tang (KSII Trans. Internet Inf. Syst., 2012)

Core-based community evolution in mobile social networks. - Hao Xu; Weidong Xiao; Daquan Tang; Jiuyang Tang; Zhenwen Wang (IEEE BigData, 2013)

Provenance comparison for large-scale knowledge discovery. - Xiang Zhao 002; Bin Ge; Jiuyang Tang; Weidong Xiao; Haichuan Shang (IEEE BigData, 2013)

UFO: A United Framework for Target Localization in Wireless Sensor Networks. - Jiuyang Tang; Guoming Tang; Daquan Tang; Weidong Xiao (CyberC, 2013)

Minimum-latency data aggregation in duty-cycled wireless sensor networks under physical interference model. - Jiuyang Tang; Xianlong Jiao; Weidong Xiao (WOCC, 2013)

From Landscape to Portrait: A New Approach for Load Curve Data Analysis and Cleansing. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Zhongqin Bi; Jiuyang Tang (CoRR, 2013)

Is My Electricity Bill Accurate? A Model-Driven Approach to Corrupted Load Data Identification. - Guoming Tang; Kui Wu 001; Jian Pei 001; Jiuyang Tang; Jingsheng Lei (CoRR, 2013)

An Appliance-Driven Approach to Detection of Corrupted Load Curve Data. - Guoming Tang; Kui Wu 001; Jian Pei 001; Jiuyang Tang; Jingsheng Lei (CIKM, 2014)

Improving Performance of Graph Similarity Joins Using Selected Substructures. - Xiang Zhao 002; Chuan Xiao 001; Wenjie Zhang 001; Xuemin Lin 001; Jiuyang Tang (DASFAA (1), 2014)

A simple model-driven approach to energy disaggregation. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Jiuyang Tang (SmartGridComm, 2014)

Plug and Play! A Simple, Universal Model for Energy Disaggregation. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Jiuyang Tang (CoRR, 2014)

From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Zhongqin Bi; Jiuyang Tang (IEEE Trans. Smart Grid, 2014)

Analyzing online news dissemination via structure learning: An experimental view. - Ruiqi Li; Yan-Li Hu; Jiuyang Tang; Weidong Xiao (ICDE Workshops, 2015)

Knowledge Representation Learning via Dynamic Relation Spaces. - Zhen Tan; Xiang Zhao 002; Yang Fang 001; Weidong Xiao; Jiuyang Tang (ICDM Workshops, 2016)

Frequent Subgraph Mining Based on Pregel. - Xiang Zhao 002; Yifan Chen 003; Chuan Xiao 001; Yoshiharu Ishikawa; Jiuyang Tang (Comput. J., 2016)

Taxi-taking recommendation using real-time trajectories: an online query based approach. - Yifan Chen 003; Xiang Zhao 002; Jiuyang Tang; Weiming Zhang 003; Haichuan Shang (Comput. Syst. Sci. Eng., 2016)

MinNet: toward more intelligent smart home energy management systems with fewer sensors. - Jiuyang Tang; Guoming Tang; Kui Wu 001 (Int. J. Sens. Networks, 2016)

A simple and robust approach to energy disaggregation in the presence of outliers. - Guoming Tang; Kui Wu 001; Jingsheng Lei; Jiuyang Tang (Sustain. Comput. Informatics Syst., 2016)

Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion. - Jinzhi Liao; Xiang Zhao 002; Jiuyang Tang; Chong Zhang 004; Mingke He (TRAP, 2017)

Occupancy-aided energy disaggregation. - Guoming Tang; Zhen Ling 001; Fengyong Li; Daquan Tang; Jiuyang Tang (Comput. Networks, 2017)

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)

Improving POI Recommendation via Dynamic Tensor Completion. - Jinzhi Liao; Jiuyang Tang; Xiang Zhao 002; Haichuan Shang (Sci. Program., 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)

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

Paperant: Key Elements Generation with New Ideas. - Xin He; Jiuyang Tang; Zhen Tan; Zheng Yu; Xiang Zhao 002 (APWeb/WAIM (2), 2020)

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)

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)

Learning Discriminative Neural Representations for Event Detection. - Jinzhi Liao; Xiang Zhao 002; Xinyi Li 001; Lingling Zhang 005; Jiuyang Tang (SIGIR, 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)

Effectively Filtering Images for Better Multi-modal Knowledge Graph. - Huang Peng; Hao Xu; Jiuyang Tang; Jibing Wu; Hongbin Huang (APWeb/WAIM Workshops, 2022)

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)

PTAU: Prompt Tuning for Attributing Unanswerable Questions. - Jinzhi Liao; Xiang Zhao 002; Jianming Zheng; Xinyi Li 001; Fei Cai; Jiuyang Tang (SIGIR, 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)

Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension. - Jinzhi Liao; Xiang Zhao 002; Xinyi Li 001; Jiuyang Tang; Bin Ge (World Wide Web, 2022)

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

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)

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)

Multi-Behavior Hypergraph Contrastive-Enhanced Transformer for Recommender Systems. - Weixuan Sun; Jiuyang Tang; Yang Fang; Jinqiu Hong; Hao Xu; Mao Wang (DSC, 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)

CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction. - Zongqiang Yang; Junbo Fei; Zhen Tan; Jiuyang Tang; Xiang Zhao 002 (Knowl. Based Syst., 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)

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)

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)

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