M+-tree : A New Dynamical Multidimensional Index for Metric Spaces. - Xiangmin Zhou; Guoren Wang; Jeffrey Xu Yu; Ge Yu 001 (ADC, 2003)

BM+-Tree: A Hyperplane-Based Index Method for High-Dimensional Metric Spaces. - Xiangmin Zhou; Guoren Wang; Xiaofang Zhou 001; Ge Yu 001 (DASFAA, 2005)

MK-tree: An Effective Access Method for Indexing High Dimensional Data. - Guoren Wang; Xiangmin Zhou; Bin Wang 015; Baiyou Qiao; Donghong Han (J. Digit. Inf. Manag., 2005)

Optimizing the Data Intensive Mediator-Based Web Services Composition. - Yu Zhang; Xiangmin Zhou; Yiyue Gao (APWeb, 2006)

Integrating Mesh and Meshfree Methods for Physics-Based Fracture and Debris Cloud Simulation. - Nan Zhang 011; Xiangmin Zhou; Desong Sha; Xiaoru Yuan; Kumar K. Tamma; Baoquan Chen (PBG@SIGGRAPH, 2006)

Efficient Similarity Search by Summarization in Large Video Database. - Xiangmin Zhou; Xiaofang Zhou 001; Heng Tao Shen (ADC, 2007)

UQLIPS: A Real-time Near-duplicate Video Clip Detection System. - Heng Tao Shen; Xiaofang Zhou 001; Zi Huang; Jie Shao 001; Xiangmin Zhou (VLDB, 2007)

A New Similarity Measure for Near Duplicate Video Clip Detection. - Xiangmin Zhou; Xiaofang Zhou 001; Heng Tao Shen (APWeb/WAIM, 2007)

A hyperplane based indexing technique for high-dimensional data. - Guoren Wang; Xiangmin Zhou; Bin Wang 015; Baiyou Qiao; Donghong Han (Inf. Sci., 2007)

A Confidence Based Recognition System for TV Commercial Extraction. - Yijun Li; Dianqing Zhang; Xiangmin Zhou; Jesse S. Jin (ADC, 2008)

Realistic Soft Tissue Deformation Strategies for Real Time Surgery Simulation. - Yunhe Shen; Xiangmin Zhou; Nan Zhang 011; Kumar K. Tamma; Robert M. Sweet (MMVR, 2008)

Similarity Search In Large Video Database - Xiangmin Zhou (2008)

A Subspace Symbolization Approach to Content-Based Video Search. - Xiangmin Zhou; Xiaofang Zhou 001; Athman Bouguettaya; John A. Taylor (ICDE, 2009)

A Discrete Mechanics Framework for Real Time Virtual Surgical Simulations with Application to Virtual Laparoscopic Nephrectomy. - Xiangmin Zhou; Nan Zhang 011; Desong Sha; Yunhe Shen; Kumar K. Tamma; Robert M. Sweet (MMVR, 2009)

An Efficient Near-Duplicate Video Shot Detection Method Using Shot-Based Interest Points. - Xiangmin Zhou; Xiaofang Zhou 001; Lei Chen 002; Athman Bouguettaya; Nong Xiao 001; John A. Taylor (IEEE Trans. Multim., 2009)

Monitoring near duplicates over video streams. - Xiangmin Zhou; Lei Chen 002 (ACM Multimedia, 2010)

Adaptive Subspace Symbolization for Content-Based Video Detection. - Xiangmin Zhou; Xiaofang Zhou 001; Lei Chen 002; Yanfeng Shu; Athman Bouguettaya; John A. Taylor (IEEE Trans. Knowl. Data Eng., 2010)

Volumetric Modeling in Laser BPH Therapy Simulation. - Nan Zhang 011; Xiangmin Zhou; Yunhe Shen; Robert M. Sweet (IEEE Trans. Vis. Comput. Graph., 2010)

Structure tensor series-based matching for near-duplicate video retrieval. - Xiangmin Zhou; Lei Chen 002; Xiaofang Zhou 001 (ACM Multimedia, 2011)

Web-Accessible Interactive Software of 3D Anatomy Representing Pathophysiological Conditions to Enhance the Patient-Consent Process for Procedures. - Daniel Burke; Xiangmin Zhou; V. Rotty; Vamsi Konchada; Yunhe Shen; Badrinath Konety; Robert M. Sweet (MMVR, 2011)

Laser Surgery Simulation Platform: Toward Full-Procedure Training and Rehearsal for Benign Prostatic Hyperplasia (BPH) Therapy. - Yunhe Shen; Vamsi Konchada; Nan Zhang 011; Saurabh Jain; Xiangmin Zhou; Daniel Burke; Carson Wong; Culley Carson; Claus Roehrborn; Robert M. Sweet (MMVR, 2011)

Phenomenological Model of Laser-Tissue Interaction with Application to Benign Prostatic Hyperplasia (BPH) Simulation. - Xiangmin Zhou; Nan Zhang 011; Yunhe Shen; Daniel Burke; Vamsi Konchada; Robert M. Sweet (MMVR, 2011)

MediaWise - Designing a Smart Media Cloud - Dimitrios Georgakopoulos 001; Rajiv Ranjan 001; Karan Mitra; Xiangmin Zhou (CoRR, 2012)

Structure Tensor Series-Based Large Scale Near-Duplicate Video Retrieval. - Xiangmin Zhou; Lei Chen 002; Xiaofang Zhou 001 (IEEE Trans. Multim., 2012)

Efficient subsequence matching over large video databases. - Xiangmin Zhou; Xiaofang Zhou 001; Lei Chen 002; Athman Bouguettaya (VLDB J., 2012)

ASVTDECTOR: A practical near duplicate video retrieval system. - Xiangmin Zhou; Lei Chen 002 (ICDE, 2013)

A Social Network Based Collaborative Video Story Composition Platform. - Chen Wang 008; Meng Meng; Xiangmin Zhou; Rajiv Ranjan 001 (ICSOC Workshops, 2013)

Event detection over twitter social media streams. - Xiangmin Zhou; Lei Chen 002 (VLDB J., 2014)

Online Video Recommendation in Sharing Community. - Xiangmin Zhou; Lei Chen 002; Yanchun Zhang; Longbing Cao; Guangyan Huang; Chen Wang 008 (SIGMOD Conference, 2015)

Efficient agglomerative hierarchical clustering. - Athman Bouguettaya; Qi Yu 001; Xumin Liu; Xiangmin Zhou; Andy Song (Expert Syst. Appl., 2015)

Topical Event Detection on Twitter. - Lishan Cui; Xiuzhen Zhang 001; Xiangmin Zhou; Flora D. Salim (ADC, 2016)

An Approach for Clothing Recommendation Based on Multiple Image Attributes. - Dandan Sha; Daling Wang; Xiangmin Zhou; Shi Feng 001; Yifei Zhang 003; Ge Yu 001 (WAIM (1), 2016)

Intermediate Semantics Based Distance Metric Learning for Video Annotation and Similarity Measurements. - Wen Qu; Xiangmin Zhou; Daling Wang; Shi Feng 001; Yifei Zhang 003; Ge Yu 001 (WISE (1), 2016)

Discovery of stop regions for understanding repeat travel behaviors of moving objects. - Guangyan Huang; Jing He 004; Wanlei Zhou 001; Guang-Li Huang; Limin Guo 002; Xiangmin Zhou; Feiyi Tang (J. Comput. Syst. Sci., 2016)

Modeling User Preferences on Spatiotemporal Topics for Point-of-Interest Recommendation. - Shuiqiao Yang; Guangyan Huang; Yang Xiang 001; Xiangmin Zhou; Chi-Hung Chi (SCC, 2017)

Change Detection from Media Sharing Community. - Naoki Kito; Xiangmin Zhou; Dong Qin; Yongli Ren; Xiuzhen Zhang 001; James A. Thom (APWeb/WAIM (1), 2017)

An Effective and Efficient Truth Discovery Framework over Data Streams. - Tianyi Li 005; Yu Gu 002; Xiangmin Zhou; Qian Ma 003; Ge Yu 001 (EDBT, 2017)

Enhancing online video recommendation using social user interactions. - Xiangmin Zhou; Lei Chen 002; Yanchun Zhang; Dong Qin; Longbing Cao; Guangyan Huang; Chen Wang 008 (VLDB J., 2017)

D-CARS: A Declarative Context-Aware Recommender System. - Rosni Lumbantoruan; Xiangmin Zhou; Yongli Ren; Zhifeng Bao (ICDM, 2018)

Clustering of Multiple Density Peaks. - Borui Cai; Guangyan Huang; Yong Xiang 001; Jing He 004; Guang-Li Huang; Ke Deng; Xiangmin Zhou (PAKDD (3), 2018)

Social event detection with retweeting behavior correlation. - Xi Chen; Xiangmin Zhou; Timos Sellis; Xue Li 001 (Expert Syst. Appl., 2018)

MSIM: A change detection framework for damage assessment in natural disasters. - Dong Qin; Xiangmin Zhou; Weiyi Zhou; Guangyan Huang; Yongli Ren; Ben Horan; Jing He 004; Naoki Kito (Expert Syst. Appl., 2018)

Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data. - Yu Gu 002; Yandan Guo; Yang Song 022; Xiangmin Zhou; Ge Yu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Role-Based Clustering for Collaborative Recommendations in Crowdsourcing System. - Qiao Liao; Xiangmin Zhou; Daling Wang; Shi Feng 001; Yifei Zhang 003 (ER, 2019)

Online Social Media Recommendation Over Streams. - Xiangmin Zhou; Dong Qin; Xiaolu Lu 002; Lei Chen 002; Yanchun Zhang (ICDE, 2019)

I-CARS: An Interactive Context-Aware Recommender System. - Rosni Lumbantoruan; Xiangmin Zhou; Yongli Ren; Lei Chen 002 (ICDM, 2019)

Dynamic Clustering of Stream Short Documents Using Evolutionary Word Relation Network. - Shuiqiao Yang; Guangyan Huang; Xiangmin Zhou; Yang Xiang 001 (ICDS, 2019)

The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA). - Xiangmin Zhou; Ji Zhang 001; Yanchun Zhang (WSDM, 2019)

Cross the data desert: generating textual-visual summary on the evolutionary microblog stream. - Yu Xiong; Xiangmin Zhou; Yifei Zhang 003; Shi Feng 001; Daling Wang (Multim. Tools Appl., 2019)

Real-time context-aware social media recommendation. - Xiangmin Zhou; Dong Qin; Lei Chen 002; Yanchun Zhang (VLDB J., 2019)

Effective and Efficient Community Search in Directed Graphs Across Heterogeneous Social Networks. - Zezhong Wang; Ye Yuan 001; Xiangmin Zhou; Hongchao Qin (ADC, 2020)

MPB: Multi-Peak Binarization for Pupil Detection. - Chengkun He; Xiangmin Zhou; Chen Wang 008 (ADMA, 2020)

Declarative User-Item Profiling Based Context-Aware Recommendation. - Rosni Lumbantoruan; Xiangmin Zhou; Yongli Ren (ADMA, 2020)

Online Community Identification over Heterogeneous Attributed Directed Graphs. - Zezhong Wang; Xiangmin Zhou; Yuliang Ma 001; Xun Yi (ADMA, 2020)

Real-Time Cross Online Matching in Spatial Crowdsourcing. - Yurong Cheng; Boyang Li 006; Xiangmin Zhou; Ye Yuan 001; Guoren Wang; Lei Chen 002 (ICDE, 2020)

Clustering-based multiple instance learning with multi-view feature. - Chengkun He; Jie Shao 001; Jiasheng Zhang; Xiangmin Zhou (Expert Syst. Appl., 2020)

Dynamic Connection-Based Social Group Recommendation. - Dong Qin; Xiangmin Zhou; Lei Chen 002; Guangyan Huang; Yanchun Zhang (IEEE Trans. Knowl. Data Eng., 2020)

Influence Maximization Using User Connectivity Guarantee in Social Networks. - Xiyu Qiao; Yuliang Ma 001; Ye Yuan 001; Xiangmin Zhou (ICBK, 2021)

Constrained Route Planning over Large Multi-Modal Time-Dependent Networks. - Yishu Wang 001; Ye Yuan 001; Hao Wang 193; Xiangmin Zhou; Congcong Mu; Guoren Wang (ICDE, 2021)

EWNStream+: Effective and Real-time Clustering of Short Text Streams Using Evolutionary Word Relation Network. - Shuiqiao Yang; Guangyan Huang; Xiangmin Zhou; Vicky Mak; John Yearwood (Int. J. Inf. Technol. Decis. Mak., 2021)

Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval. - Tieying Li; Xiaochun Yang 001; Bin Wang 015; Chong Xi; Hanzhong Zheng; Xiangmin Zhou (AAAI, 2022)

Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation. - Yani Wang; Ji Zhang 001; Xiangmin Zhou; Yang Zhang 042 (APWeb/WAIM (3), 2022)

LIREM: A Generic Framework for Effective Online Video Novelty Detection. - Chengkun He; Xiangmin Zhou; Chen Wang 008 (ER, 2022)

Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). - Xi Chen; Xiangmin Zhou; Jeffrey Chan; Lei Chen 002; Timos Sellis; Yanchun Zhang (ICDE, 2022)

Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces. - Longcan Wu; Daling Wang; Shi Feng 001; Xiangmin Zhou; Yifei Zhang 003; Ge Yu 001 (WISE, 2022)

Migrating Social Event Recommendation Over Microblogs. - Xiangmin Zhou; Lei Chen 002 (Proc. VLDB Endow., 2022)

Event Popularity Prediction Using Influential Hashtags From Social Media. - Xi Chen; Xiangmin Zhou; Jeffrey Chan; Lei Chen 002; Timos Sellis; Yanchun Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Soft Target-Enhanced Matching Framework for Deep Entity Matching. - Wenzhou Dou; Derong Shen; Xiangmin Zhou; Tiezheng Nie; Yue Kou; Hang Cui 001; Ge Yu 001 (AAAI, 2023)

Health Status Assessment for HDDs Based on Bi-LSTM and N-Dimensional Similarity Metric. - Bo Su; Xin Man; Hui Xu; Xiangmin Zhou; Jie Shao 001 (ADC, 2023)

Learning Implicit Sentiment for Explainable Review-Based Recommendation. - Ningning Sun; Yue Kou; Xiangmin Zhou; Derong Shen; Dong Li 023; Tiezheng Nie (ADC, 2023)

Ant Colony Optimization for Multiple Travelling Salesmen Problem with Pivot Cities. - Nuo Xu; Deming Wu; Qiang Yang 008; Hua Wang 002; Xiangmin Zhou; Zhonglong Zheng; Yisu Ge; Xu-Dong Gao 003 (ICACI, 2023)

GA=PSO: Realizing Equivalent Particle Swarm Optimization by Genetic Algorithm. - Ruoyu Zhu; Zhonglong Zheng; Hua Wang 002; Xiangmin Zhou; Dong Liu; Lin Sun (ICACI, 2023)

FedFTHA: A Fine-Tuning and Head Aggregation Method in Federated Learning. - Yansong Wang; Hui Xu; Waqar Ali 001; Miaobo Li; Xiangmin Zhou; Jie Shao 001 (IEEE Internet Things J., 2023)

Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques. - Lei Chen 002; Xiangmin Zhou; Xiaochun Yang 001; Timos Sellis (IEEE Trans. Knowl. Data Eng., 2023)

Complex Event Summarization Using Multi-Social Attribute Correlation. - Xi Chen; Xiangmin Zhou; Jeffrey Chan; Lei Chen 002; Timos Sellis; Yanchun Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Graph neural network for recommendation in complex and quaternion spaces. - Longcan Wu; Daling Wang; Shi Feng 001; Xiangmin Zhou; Yifei Zhang 003; Ge Yu 001 (World Wide Web (WWW), 2023)

Preference Learning Based on Dynamic Dual-Cognition for Group Recommendation. - Chunlong Wang; Yue Kou; Derong Shen; Xiangmin Zhou; Tiezheng Nie; Ge Yu 001; Dong Li 023 (ADC, 2024)

Queries Optimised LLM-Empowered Active Learning for Social Media Analysis of Human Behaviour in Bushfire Evacuations. - Junfeng Wu; Xiangmin Zhou; Erica Kuligowski; Yanchun Zhang (ADC, 2024)

Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy. - Wenzhou Dou; Derong Shen; Xiangmin Zhou; Hui Bai; Yue Kou; Tiezheng Nie; Hang Cui 001; Ge Yu 001 (CIKM, 2024)

Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). - Xi Chen; Xiangmin Zhou; Jeffrey Chan; Lei Chen 002; Timos Sellis; Yanchun Zhang (ICDE, 2024)

Cross Online Ride-Sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing. - Yurong Cheng; Zhaohe Liao; Xiaosong Huang; Yi Yang 032; Xiangmin Zhou; Ye Yuan 001; Guoren Wang (ICDE, 2024)

Online Anomaly Detection over Live Social Video Streaming. - Chengkun He; Xiangmin Zhou; Chen Wang 008; Iqbal Gondal; Jie Shao 001; Xun Yi (ICDE, 2024)

Influence-Aware Group Recommendation for Social Media Propagation. - Chengkun He; Xiangmin Zhou; Chen Wang 008; Longbing Cao; Jie Shao 001; Zahir Tari (ICDM, 2024)

EBUD: Evolving Disaster Burst Detection over Social Streams. - Xiyu Qiao; Xiangmin Zhou; Changjun Zhou; Hua Wang 002; Yanchun Zhang (WISE (2), 2024)

Early Discovery of Key Innovative Publications by Analyzing Emerging Topic Trends. - Junfeng Wu; Xiangmin Zhou; Guangyan Huang; Borui Cai; Guang-Li Huang; Hui Zheng 001; Chi-Hung Chi; Jing He 004 (WISE (1), 2024)

Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning. - Yansong Wang; Hui Xu; Waqar Ali 001; Xiangmin Zhou; Jie Shao 001 (IEEE Internet Things J., 2024)

Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. - Xiangmin Zhou; Rosni Lumbantoruan; Yongli Ren; Lei Chen 002; Xiaochun Yang 001; Jie Shao 001 (Trans. Recomm. Syst., 2024)

HSAP: A Human-in-the-loop Social Media-based Situation Awareness Platform. - Xiangmin Zhou; Chengkun He; Xi Chen; Yanchun Zhang (Proc. VLDB Endow., 2024)

Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. - Waqar Ali 001; Rajesh Kumar 014; Xiangmin Zhou; Jie Shao 001 (ACM Trans. Intell. Syst. Technol., 2024)

Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination. - Lingdu Kong; Xiaochun Yang 001; Tieying Li; Bin Wang 015; Xiangmin Zhou (AAAI, 2025)

Motivation-Aware Session Planning over Heterogeneous Social Platforms. - Chengkun He; Xiangmin Zhou; Yurong Cheng; Jie Shao 001; Guoren Wang; Iqbal Gondal; Zahir Tari (WWW, 2025)

A Responsible and Extendable Context-Aware Recommender System. - Xiangmin Zhou; Lei Chen 002; Chengkun He; Junfeng Wu; Weiyi Zhou; Jie Shao 001; Yanchun Zhang (WWW (Companion Volume), 2025)

HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders. - Waqar Ali 001; Khalid Umer; Xiangmin Zhou; Jie Shao 001 (IEEE Trans. Knowl. Data Eng., 2025)

Adaptive Intention Learning for Session-Based Recommendation. - Qingbo Zhang; Xiaochun Yang 001; Hao Chen; Bin Wang 015; Zhu Sun 001; Xiangmin Zhou (ACM Trans. Intell. Syst. Technol., 2025)

Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain. - Waqar Ali 001; Xiangmin Zhou; Jie Shao 001 (ACM Comput. Surv., 2025)

Enhanced Influence-aware Group Recommendation for Online Media Propagation. - Chengkun He; Xiangmin Zhou; Chen Wang 008; Longbing Cao; Jie Shao 001; Xiaodong Li; Guang Xu; Carrie Jinqiu Hu; Zahir Tari (CoRR, 2025)

Unified Empirical Evaluation and Comparison of Session-based Recommendation Algorithms. - Qingbo Zhang; Xiangmin Zhou; Xiuzhen Zhang 001; Xiaochun Yang 001; Bin Wang 015; Xun Yi (ACM Comput. Surv., 2025)