A Memory-Saving and Efficient Data Transformation Technique for Mixed Data Sets Visualization. - Yang Sun; Xiang Zhao 002; Daquan Tang; Weidong Xiao (IV, 2009)

Efficient Graph Similarity Joins with Edit Distance Constraints. - Xiang Zhao 002; Chuan Xiao 001; Xuemin Lin 001; Wei Wang 011 (ICDE, 2012)

Probabilistic Top-k Dominating Query over Sliding Windows. - Xing Feng; Xiang Zhao 002; Yunjun Gao; Ying Zhang 001 (APWeb, 2013)

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

On Efficient Graph Substructure Selection. - Xiang Zhao 002; Haichuan Shang; Wenjie Zhang 001; Xuemin Lin 001; Weidong Xiao (DASFAA (2), 2013)

An Optimization Method for Proportionally Diversifying Search Results. - Lin Wu 001; Yang Wang 023; John Shepherd 001; Xiang Zhao 002 (PAKDD (1), 2013)

CTrace: semantic comparison of multi-granularity process traces. - Qing Liu 001; Kerry Taylor; Xiang Zhao 002; Geoffrey Squire; Xuemin Lin 001; Corne Kloppers; Richard Miller (SIGMOD Conference, 2013)

Probabilistic k-Skyband Operator over Sliding Windows. - Xing Feng; Wenjie Zhang 001; Xiang Zhao 002; Ying Zhang 001; Yunjun Gao (WAIM, 2013)

Max-sum diversification on image ranking with non-uniform matroid constraints. - Lin Wu 001; Yang Wang 023; John Shepherd 001; Xiang Zhao 002 (Neurocomputing, 2013)

Towards semantic comparison of multi-granularity process traces. - Qing Liu 001; Xiang Zhao 002; Kerry Taylor; Xuemin Lin 001; Geoffrey Squire; Corne Kloppers; Richard Miller (Knowl. Based Syst., 2013)

A Partition-Based Approach to Structure Similarity Search. - Xiang Zhao 002; Chuan Xiao 001; Xuemin Lin 001; Qing Liu 001; Wenjie Zhang 001 (Proc. VLDB Endow., 2013)

Efficient processing of graph similarity queries with edit distance constraints. - Xiang Zhao 002; Chuan Xiao 001; Xuemin Lin 001; Wei Wang 011; Yoshiharu Ishikawa (VLDB J., 2013)

A Negative-Aware and Rating-Integrated Recommendation Algorithm Based on Bipartite Network Projection. - Fengjing Yin; Xiang Zhao 002; Guangxin Zhou; Xin Zhang 018; Shengze Hu (ADC, 2014)

Practising Scalable Graph Similarity Joins in MapReduce. - Yifan Chen 003; Xiang Zhao 002; Bin Ge; Chuan Xiao 001; Chi-Hung Chi (BigData Congress, 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)

Encoding Document Semantic into Binary Codes Space. - Zheng Yu; Xiang Zhao 002; Liping Wang 012 (WAIM, 2014)

Efficient processing of advanced structural queries in graph databases. - Xiang Zhao 002 (2014)

Towards Scale-out Capability on Social Graphs. - Haichuan Shang; Xiang Zhao 002; R. Uday Kiran; Masaru Kitsuregawa (CIKM, 2015)

Scalable collective spatial keyword query. - Peijun He; Hao Xu; Xiang Zhao 002; Zhitao Shen (ICDE Workshops, 2015)

Towards Frequent Subgraph Mining on Single Large Uncertain Graphs. - Yifan Chen 003; Xiang Zhao 002; Xuemin Lin 001; Yang Wang 023 (ICDM, 2015)

Content-Based Top-N Recommendation Using Heterogeneous Relations. - Yifan Chen 003; Xiang Zhao 002; Junjiao Gan; Junkai Ren; Yanli Hu (ADC, 2016)

Finding Top- k Places for Group Social Activities. - Xiaosheng Feng; Nikos Armenatzoglou; Hao Xu; Xiang Zhao 002; Pan Hui (APWeb Workshops, 2016)

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)

Content-Based Top-N Recommendation using Heterogeneous Relations. - Yifan Chen 003; Xiang Zhao 002; Junjiao Gan; Junkai Ren; Yang Fang 001 (CoRR, 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)

A framework of wound segmentation based on deep convolutional networks. - Xiaohui Liu; Changjian Wang; Fangzhao Li; Xiang Zhao 002; En Zhu; Yuxing Peng 001 (CISP-BMEI, 2017)

Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. - Zhen Tan; Xiang Zhao 002; Wei Wang 011 (CIKM, 2017)

Relation classification using revised convolutional neural networks. - Bo Li; Xiang Zhao 002; Shuai Wang; Weihong Lin; Weidong Xiao (ICSAI, 2017)

SDF-NN: A Deep Neural Network with Semantic Dropping and Fusion for Natural Language Inference. - Ludan Tan; Changjian Wang; Qin Lv; Yuxing Peng 001; Minghao Hu; Xiang Zhao 002; Zhen Huang 006 (ICTAI, 2017)

Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. - Yifan Chen 003; Xiang Zhao 002; Maarten de Rijke (SIGIR, 2017)

A Robust Approach for Multivariate Time Series Forecasting. - Ning Pang; Fengjing Yin; Xiaoyu Zhang; Xiang Zhao 002 (SoICT, 2017)

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)

Local Top-N Recommendation via Refined Item-User Bi-Clustering. - Yuheng Wang; Xiang Zhao 002; Yifan Chen 003; Wenjie Zhang 001; Weidong Xiao (WISE (2), 2017)

Fast top-k similarity join for SimRank. - Ruiqi Li; Xiang Zhao 002; Haichuan Shang; Yifan Chen 003; Weidong Xiao (Inf. Sci., 2017)

Two-phase network generation towards within-network classifiers evaluation. - Le Li 004; Junyi Xu; Xiang Zhao 002; Weidong Xiao; Shengze Hu (Knowl. Based Syst., 2017)

Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion. - Yang Wang 023; Wenjie Zhang 001; Lin Wu 001; Xuemin Lin 001; Xiang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 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)

Spatial Attention Network for Head Detection. - Rongchun Li; Biao Zhang; Zhen Huang 006; Xiang Zhao 002; Peng Qiao; Yong Dou (PCM (2), 2018)

TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism. - Yang Fang 001; Xiang Zhao 002; Zhen Tan; Weidong Xiao (IEEE Access, 2018)

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding. - Yang Fang 001; Xiang Zhao 002; Zhen Tan; Weidong Xiao (IEEE Access, 2018)

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

GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces. - Zhen Tan; Xiang Zhao 002; Yang Fang 001; Weidong Xiao (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)

Knowledge Graph Representation via Similarity-Based Embedding. - Zhen Tan; Xiang Zhao 002; Yang Fang 001; Bin Ge; Weidong Xiao (Sci. Program., 2018)

Network Embedding via a Bi-Mode and Deep Neural Network Model. - Yang Fang 001; Xiang Zhao 002; Zhen Tan; Weidong Xiao (Symmetry, 2018)

SISE: Self-Updating of Indoor Semantic Floorplans for General Entities. - Xiaoqiang Teng; Deke Guo; Yulan Guo; Xiang Zhao 002; Zhong Liu 002 (IEEE Trans. Mob. Comput., 2018)

Efficient structure similarity searches: a partition-based approach. - Xiang Zhao 002; Chuan Xiao 001; Xuemin Lin 001; Wenjie Zhang 001; Yang Wang 023 (VLDB J., 2018)

Antonym-Synonym Classification Based on New Sub-Space Embeddings. - Muhammad Asif Ali; Yifang Sun; Xiaoling Zhou; Wei Wang 011; Xiang Zhao 002 (AAAI, 2019)

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. - Zhen Tan; Xiang Zhao 002; Wei Wang 011; Weidong Xiao (AAAI, 2019)

On Continuously Matching of Evolving Graph Patterns. - Qianzhen Zhang; Deke Guo; Xiang Zhao 002; Aibo Guo (CIKM, 2019)

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)

Learning to Select User-Specific Features for Top-N Recommendation of New Items. - Yifan Chen 003; Xiang Zhao 002; Jinyuan Liu; Bin Ge; Weiming Zhang 003 (ICDE Workshops, 2019)

Near-Accurate Multiset Reconciliation (Extended Abstract). - Lailong Luo; Deke Guo; Xiang Zhao 002; Jie Wu 001; Ori Rottenstreich; Xueshan Luo (ICDE, 2019)

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

M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. - Yang Fang 001; Xiang Zhao 002; Peixin Huang; Weidong Xiao; Maarten de Rijke (SIGIR, 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)

Efficient Mining of Frequent Patterns on Uncertain Graphs. - Yifan Chen 003; Xiang Zhao 002; Xuemin Lin 001; Yang Wang 023; Deke Guo (IEEE Trans. Knowl. Data Eng., 2019)

Near-accurate Multiset Reconciliation. - Lailong Luo; Deke Guo; Xiang Zhao 002; Jie Wu 001; Ori Rottenstreich; Xueshan Luo (IEEE Trans. Knowl. Data Eng., 2019)

Recursively Binary Modification Model for Nested Named Entity Recognition. - Bing Li 002; Shifeng Liu 002; Yifang Sun; Wei Wang 011; Xiang Zhao 002 (AAAI, 2020)

HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition. - Shifeng Liu 002; Yifang Sun; Bing Li 002; Wei Wang 011; Xiang Zhao 002 (AAAI, 2020)

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

Multi-hop Reading Comprehension Incorporating Sentence-Based Reasoning. - Lijun Huo; Bin Ge; Xiang Zhao 002 (APWeb/WAIM (1), 2020)

Towards Knowledge Graphs Federations: Issues and Technologies. - Xiang Zhao 002 (APWeb/WAIM Workshops, 2020)

Seasonal-Periodic Subgraph Mining in Temporal Networks. - Qianzhen Zhang; Deke Guo; Xiang Zhao 002; Xinyi Li 001; Xi Wang (CIKM, 2020)

Joint Event Extraction with Hierarchical Policy Network. - Peixin Huang; Xiang Zhao 002; Ryuichi Takanobu; Zhen Tan; Weidong Xiao (COLING, 2020)

Cross-Graph Representation Learning for Unsupervised Graph Alignment. - Weifan Wang 004; Minnan Luo; Caixia Yan; Meng Wang 009; Xiang Zhao 002; Qinghua Zheng (DASFAA (2), 2020)

sf GQAsf RDF: A Graph-Based Approach Towards Efficient SPARQL Query Answering. - Xi Wang; Qianzhen Zhang; Deke Guo; Xiang Zhao 002; Jianye Yang 001 (DASFAA (2), 2020)

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

Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection. - Aibo Guo; Zhen Tan; Xiang Zhao 002 (KSEM (1), 2020)

Chinese Text Classification via Bidirectional Lattice LSTM. - Ning Pang; Weidong Xiao; Xiang Zhao 002 (KSEM (2), 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)

A Graph-Based Approach Towards Risk Alerting for COVID-19 Spread. - Aibo Guo; Qianzhen Zhang; Xiang Zhao 002 (SFDI/LSGDA@VLDB, 2020)

A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension. - Lijun Huo; Xiang Zhao 002 (IEEE Access, 2020)

Exploring Heterogeneous Information Networks via Pre-Training. - Yang Fang 001; Xiang Zhao 002; Weidong Xiao (CoRR, 2020)

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

Item Cold-Start Recommendation with Personalized Feature Selection. - Yifan Chen 003; Xiang Zhao 002; Jinyuan Liu; Bin Ge; Weiming Zhang 003 (J. Comput. Sci. Technol., 2020)

Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. - Yi-Fan Chen 003; Yang Wang 023; Xiang Zhao 002; Hongzhi Yin; Ilya Markov; Maarten de Rijke (ACM Trans. Inf. Syst., 2020)

Block-Aware Item Similarity Models for Top-N Recommendation. - Yifan Chen 003; Yang Wang 023; Xiang Zhao 002; Jie Zou; Maarten de Rijke (ACM Trans. Inf. Syst., 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)

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering. - Junxing Wang; Xinyi Li 001; Zhen Tan; Xiang Zhao 002; Weidong Xiao (CoNLL, 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)

Few-shot text classification by leveraging bi-directional attention and cross-class knowledge. - Ning Pang; Xiang Zhao 002; Wei Wang 011; Weidong Xiao; Deke Guo (Sci. China Inf. Sci., 2021)

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

ER-SQL: Learning enhanced representation for Text-to-SQL using table contents. - Aibo Guo; Xiang Zhao 002; Wubin Ma (Neurocomputing, 2021)

DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph. - Tianyang Shao; Xinyi Li 001; Xiang Zhao 002; Hao Xu; Weidong Xiao (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)

Caps-OWKG: a capsule network model for open-world knowledge graph. - Yuhan Wang; Weidong Xiao; Zhen Tan; Xiang Zhao 002 (Int. J. Mach. Learn. Cybern., 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)

Continuous matching of evolving patterns over dynamic graph data. - Qianzhen Zhang; Deke Guo; Xiang Zhao 002; Xi Wang (World Wide Web, 2021)

Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering. - Honghai Zhang; Yifan Chen 003; Xinyi Li 001; Xiang Zhao 002 (WISA, 2022)

Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training. - Peixin Huang; Xiang Zhao 002; Minghao Hu; Yang Fang 001; Xinyi Li 001; Weidong Xiao (ACL (Findings), 2022)

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

SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. - Aibo Guo; Xinyi Li 001; Guanchen Xiao; Zhen Tan; Xiang Zhao 002 (CIKM, 2022)

Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. - Qiuyu Guo; Xiang Zhao 002; Yang Fang 001; Shiyu Yang; Xuemin Lin 001; Dian Ouyang (CIKM, 2022)

Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together. - Qianzhen Zhang; Deke Guo; Xiang Zhao 002; Lailong Luo (CIKM, 2022)

Discovering Bursting Patterns over Streaming Graphs. - Qianzhen Zhang; Deke Guo; Xiang Zhao 002 (DASFAA (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)

Complex Question Answering Over Temporal Knowledge Graphs. - Shaonan Long; Jinzhi Liao; Shiyu Yang; Xiang Zhao 002; Xuemin Lin 001 (WISE, 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)

Few2Decide: towards a robust model via using few neuron connections to decide. - Jian Li; Yanming Guo; Songyang Lao; Xiang Zhao 002; Liang Bai; Haoran Wang (Int. J. Multim. Inf. Retr., 2022)

Temporal knowledge graph question answering via subgraph reasoning. - Ziyang Chen; Xiang Zhao 002; Jinzhi Liao; Xinyi Li 001; Evangelos Kanoulas (Knowl. Based Syst., 2022)

Continuous multi-query optimization for subgraph matching over dynamic graphs. - Xi Wang; Qianzhen Zhang; Deke Guo; Xiang Zhao 002 (Semantic Web, 2022)

Adversarial Cross-domain Community Question Retrieval. - Aibo Guo; Xinyi Li 001; Ning Pang; Xiang Zhao 002 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 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)

Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. - Yang Fang 001; Xiang Zhao 002; Peixin Huang; Weidong Xiao; Maarten de Rijke (ACM Trans. Inf. Syst., 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)

Multi-granularity Temporal Question Answering over Knowledge Graphs. - Ziyang Chen; Jinzhi Liao; Xiang Zhao 002 (ACL (1), 2023)

Cardinality Estimation of Subgraph Search Queries with Direction Learner. - Wenzhe Hou; Xiang Zhao 002; Wei Wang 011 (ADMA (5), 2023)

MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. - Aibo Guo; Xiang Zhao 002; Zhen Tan; Weidong Xiao (CIKM, 2023)

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

Discovering Persistent Subgraph Patterns over Streaming Graphs. - Chu Huang; Qianzhen Zhang; Deke Guo; Xiang Zhao 002 (DASFAA (3), 2023)

Mining Top-k Frequent Patterns over Streaming Graphs. - Xi Wang; Qianzhen Zhang; Deke Guo; Xiang Zhao 002 (DASFAA (3), 2023)

Discovering Frequency Bursting Patterns in Temporal Graphs. - Qianzhen Zhang; Deke Guo; Xiang Zhao 002; Long Yuan 001; Lailong Luo (ICDE, 2023)

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

Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. - Dong Chen 013; Xiang Zhao 002; Wei Wang 011; Zhen Tan; Weidong Xiao (WWW, 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)

GPUSCAN++: Eficient Structural Graph Clustering on GPUs. - Long Yuan 001; Zeyu Zhou; Xuemin Lin 001; Zi Chen 003; Xiang Zhao 002; Fan Zhang 036 (CoRR, 2023)

A Brief Overview of Universal Sentence Representation Methods: A Linguistic View. - Ruiqi Li; Xiang Zhao 002; Marie-Francine Moens (ACM Comput. Surv., 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)

Jump Filter: A Dynamic Sketch for Big Data Governance. - Pengtao Fu; Lailong Luo; Deke Guo; Xiang Zhao 002; Shangsen Li; Huaimin Wang (Int. J. Softw. Informatics, 2023)

Preface to the Special Issue on Knowledge-empowered Information Systems. - Hong Gao; Huajun Chen; Xiang Zhao 002; Ruixuan Li 001 (Int. J. Softw. Informatics, 2023)

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

AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification. - Chengyu Song; Fei Cai; Jianming Zheng; Xiang Zhao 002; Taihua Shao (Inf. Process. Manag., 2023)

T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates. - Peixin Huang; Xiang Zhao 002; Minghao Hu; Zhen Tan; Weidong Xiao (Trans. Assoc. Comput. Linguistics, 2023)

Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event. - Zenghua Liao; Zongqiang Yang; Peixin Huang; Ning Pang; Xiang Zhao 002 (Data Sci. Eng., 2023)

A survey of continuous subgraph matching for dynamic graphs. - Xi Wang; Qianzhen Zhang; Deke Guo; Xiang Zhao 002 (Knowl. Inf. Syst., 2023)

$ mathsf{PF text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. - Yang Fang 001; Xiang Zhao 002; Yifan Chen 003; Weidong Xiao; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2023)

(p,q)-biclique counting and enumeration for large sparse bipartite graphs. - Jianye Yang 001; Yun Peng 003; Dian Ouyang; Wenjie Zhang 001; Xuemin Lin 001; Xiang Zhao 002 (VLDB J., 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)

Iterative Transfer Knowledge Distillation and Channel Pruning for Unsupervised Cross-Domain Compression. - Zhiyuan Wang; Long Shi 001; Zhen Mei; Xiang Zhao 002; Zhe Wang 005; Jun Li 004 (WISA, 2024)

Temporal Knowledge Question Answering via Abstract Reasoning Induction. - Ziyang Chen; Dongfang Li 002; Xiang Zhao 002; Baotian Hu; Min Zhang 005 (ACL (1), 2024)

Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. - Zihan Ma 001; Minnan Luo; Hao Guo; Zhi Zeng; Yiran Hao; Xiang Zhao 002 (ACL (1), 2024)

ITIU: Intention Understanding via Interactive Table in Large Language Models. - Zenghua Liao; Jinzhi Liao; Xiang Zhao 002 (CIKM, 2024)

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

Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL. - Wenshuo Zhai; Xiang Zhao 002; Jinzhi Liao; Ziyang Chen (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)

Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model. - Peixin Huang; Xiang Zhao 002; Minghao Hu; Zhen Tan; Weidong Xiao (LREC/COLING, 2024)

FNDPro: Evaluating the Importance of Propagations during Fake News Spread. - Herun Wan; Ningnan Wang; Xiang Zhao 002; Rui Li; Hui Yang; Minnan Luo (DASFAA (6), 2024)

Community partition based source localization in early time. - Jinchen Shi; Yang Fang 001; Zhen Tan; Hui Yang; Xiang Zhao 002 (DSC, 2024)

Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment. - Dong Chen 013; Xiang Zhao 002; Weidong Xiao (ICDE, 2024)

Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis. - Junhui Gao; Qianru Wang; Xin Zhang 018; Juan Shi; Xiang Zhao 002; Qingye Han; Yan Pan 003 (ICDE, 2024)

LearnSC: An Efficient and Unified Learning-Based Framework for Subgraph Counting Problem. - Wenzhe Hou; Xiang Zhao 002; Bo Tang (ICDE, 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)

Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection. - Zihan Ma 001; Huan Liu 012; Zhi Zeng; Hao Guo; Xiang Zhao 002; Minnan Luo (ICME, 2024)

Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection. - Zhi Zeng; Minnan Luo; Xiangzheng Kong; Huan Liu 012; Hao Guo; Hao Yang 042; Zihan Ma 001; Xiang Zhao 002 (ACM Multimedia, 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)

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. - Herun Wan; Minnan Luo; Zihan Ma 001; Guang Dai; Xiang Zhao 002 (CoRR, 2024)

Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin Ecosystem. - Guofu Liao; Taotao Wang; Qing Yang 006; Yihan Xia; Long Shi 001; Xiang Zhao 002; Xiaoxiao Wu; Shengli Zhang 001; Anthony Chan; Richard Yuen (CoRR, 2024)

An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms. - Ziyang Chen; Xiaobin Wang; Yong Jiang 001; Jinzhi Liao; Pengjun Xie; Fei Huang 002; Xiang Zhao 002 (CoRR, 2024)

A knowledge graphs representation method based on IsA relation modeling. - Pengfei Zhang; Dong Chen 013; Yang Fang 001; Weidong Xiao; Xiang Zhao 002; Zhen Tan; Rui Wang (Expert Syst. Appl., 2024)

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

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)

Multiplex heterogeneous network representation learning with unipath based global awareness neural network. - Yuehang Cao; Xiang Zhao 002; Dong Chen 013; Hongbin Huang (Future Gener. Comput. Syst., 2024)

I/O Efficient Label-Constrained Reachability Queries in Large Graphs. - Long Yuan 001; Xia Li; Zi Chen 003; Xuemin Lin 001; Xiang Zhao 002; Wenjie Zhang 001 (Proc. VLDB Endow., 2024)

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Kunming Ma; Wenjun Wu; Xiang Zhao 002; Yaqiang Wu; Yi Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Few-shot Learning for Heterogeneous Information Networks. - Yang Fang 001; Xiang Zhao 002; Weidong Xiao; Maarten de Rijke (ACM Trans. Inf. 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)

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)

E-Bus-Based Standby Energy Sharing for EVs in the Event of Large-Scale Grid Outage. - Haitao Fan; Mengzhe Hei; Zuyu Chen; Yijia Xing; Yujiao Hu; Deke Guo; Xin Zhang 018; Xiang Zhao 002; Yan Pan 003 (IEEE Internet Things J., 2024)

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

Cross-modal Multi-task Learning for Multimedia Event Extraction. - Jianwei Cao; Yanli Hu; Zhen Tan; Xiang Zhao 002 (AAAI, 2025)

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)

Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. - Peixin Huang; Xiang Zhao 002; Minghao Hu; Zhen Tan; Weidong Xiao (AAAI, 2025)

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. - Herun Wan; Minnan Luo; Zhixiong Su; Guang Dai; Xiang Zhao 002 (ACL (1), 2025)

Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction. - Feiyang Wu; Peixin Huang; Yanli Hu; Zhen Tan; Xiang Zhao 002 (COLING, 2025)

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

Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection. - Si Miao Zhao; Zhen Tan; Ning Pang; Weidong Xiao; Xiang Zhao 002 (COLING, 2025)

OptMatch: An Efficient and Generic Neural Network-Assisted Subgraph Matching Approach. - Wenzhe Hou; Xiang Zhao 002; Bo Tang (ICDE, 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)

PSSD: Making Large Language Models Self-denial via Human Psyche Structure. - Jinzhi Liao; Zenghua Liao; Xiang Zhao 002 (WWW, 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)

An adaptive confidence-based data revision framework for Document-level Relation Extraction. - Chao Jiang; Jinzhi Liao; Xiang Zhao 002; Daojian Zeng; Jianhua Dai (Inf. Process. Manag., 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)

Iterative knowledge distillation and pruning for model compression in unsupervised domain adaptation. - Zhiyuan Wang; Long Shi 001; Zhen Mei; Xiang Zhao 002; Zhe Wang 005; Jun Li 004 (Pattern Recognit., 2025)

Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. - Xiongtao Zhang; Ji Wang 002; Weidong Bao 001; Yaohong Zhang; Xiaomin Zhu 001; Hao Peng 001; Xiang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Expressive Power of Graph Neural Networks: A Survey. - Bingxu Zhang; Changjun Fan; Shixuan Liu; Kuihua Huang; Xiang Zhao 002; Jincai Huang 001; Zhong Liu 002 (IEEE Trans. Knowl. Data Eng., 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)

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. - Ziyang Chen; Erxue Min; Xiang Zhao 002; Yunxin Li; Xin Jia; Jinzhi Liao; Jichao Li; Shuaiqiang Wang; Baotian Hu; Dawei Yin (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)

$ text {GPUSCAN}^{++}$: Efficient Structural Graph Clustering on GPUs. - Long Yuan 001; Zeyu Zhou; Zi Chen 003; Xuemin Lin 001; Xiang Zhao 002; Fan Zhang 036 (IEEE Trans. Parallel Distributed Syst., 2025)