Editorials
L. Chen, X. Zhou, X. Yang, T. Sellis: Guest Editorial: Special Issue on Online Recommendation Using AI and Big Data Techniques. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(10): 9809-9811 (2023) (CORE Rank: A*, Q1 )
X. Wu, M. Spiliopoulou, C. Wang, V. Kumar, L. Cao, X. Zhou, G. Pang, J. Gama: Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI. Lecture Notes in Computer Science 15875, Springer 2025, ISBN 978-981-96-8294-2
X. Wu, M. Spiliopoulou, C. Wang, V. Kumar, L. Cao, X. Zhou, G. Pang, J. Gama: Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VII. Lecture Notes in Computer Science 15876, Springer 2025, ISBN 978-981-96-8297-3
Refereed Journal Publications
Y. Cheng, X.Cui, Y. Yuan, X. Zhou, G. Wang: Enhancing Global Path Planning via Simple Queries Across Multiple Platforms. IEEE Trans. on Knowl. and Data Eng. (TKDE) (2025) (CORE Rank: A*, Q1) (Accept)
Q. Zhang, X. Zhou, X. Zhang, X. Yang, B.Wang, X. Yi: Unified Empirical Evaluation and Comparison of Session-based Recommendation Algorithms. ACM Comput. Surv. 57(10): 1-39(2025) (CORE Rank: A*, Q1)
W. ALI, X. Zhou, J. Shao: Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain. ACM Comput. Surv. 57(5): 119:1-119:35 (2025) (CORE Rank: A*, Q1) pdf
W.Ali, U.Khalid, X.Zhou, J. Shao: HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders. IEEE Trans. Knowl. Data Eng. 37(3): 1227-1240 (2025) (CORE Rank: A*, Q1)
Y. Kou, D. Li, D. Shen, X. Zhou, T. Nie, G. Yu: Curious or Conservative: Dynamic Curiosity-aware Explainable Recommendation. ACM Trans. on Recommender Systems. (2025). (Accept)
Q. Zhang, X. Yang, H. Chen, B.Wang, X. Zhou: Intention-sensitive Preference Learning Network for Personalized Session-based Recommendation. ACM Trans. on Recommender Systems. 4(1): 15: 1-23 (2025)
Q. Zhang, X.Yang, H. Chen, B.Wang, Z. Sun, X. Zhou: Adaptive Intention Learning for Session-based Recommendation. ACM Transactions on Intelligent Systems and Technology. 16(2):1-26 (2025) (CORE Rank: A, Q1)
W. Ali, H. Ammad-UD-DIN, X. Zhou, Y. Zhang, J. Shao: Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits. ACM Trans. on Recommender Systems. 4(1):2:1-28 (2025)
X. Zhou, C. He, X. Chen, Y. Zhang: HSAP: A Human-in-the-loop Social Media-based Situation Awareness Platform. Proc. VLDB Endow. 17(12): 4493-4496 (2024) (CORE Rank: A*)
Y. Wang, H.Xu, W. Ali, X. Zhou, J. Shao: Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning. IEEE Internet of Things Journal.11(16): 27099-27111 (2024) (CORE Rank: A, Q1)
X. Zhou, R.Lumbantoruan, Y. Ren, L. Chen, X. Yang, J. Shao: Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. ACM Trans. on Recommender Systems 2(2): 14:1-14:23 (2024)
W. Ali, R. Kumar, X. Zhou, J. Shao: Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. ACM Transactions on Intelligent Systems and Technology.15(4): 78:1-78:24 (2024) (CORE Rank: A, Q1)
L. Wu, D. Wang, S. Feng, X. Zhou, Y. Zhang, G. Yu: Graph neural network for recommendation in complex and quaternion spaces. World Wide Web (WWW) 26(6): 3945-3964 (2023) (CORE Rank: A, Q1)
Y. Wang, H. Xu, W. Ali, M. Li, X. Zhou, J. Shao. FedFTHA: A Fine-Tuning and Head Aggregation Method in Federated Learning . IEEE Internet of Things Journal.10(14): 12749-12762 (2023) (CORE Rank: A, Q1)
X. Chen, X. Zhou, J. Chan, L. Chen, T. Sellis, Y. Zhang, Real-time Event Summarization over Multiple Attributes, IEEE Transactions on Knowledge and Data Engineering(TKDE) 35(11): 11180-11195 (2023) ( CORE Rank: A*, Q1)
X. Zhou, L. Chen. Migrating Social Event Recommendation Over Microblogs. Proc. VLDB Endow. 15(11): 3213-3225 (2022) (Core Rank: A*)
X. Chen, X. Zhou, J. Chan, L. Chen, T. Sellis, Y. Zhang, Event Popularity Prediction Using Influential Hashtags from Social Media, IEEE Transactions on Knowledge and Data Engineering(TKDE) 34(10): 4797-4811 (2022) (CORE Rank: A*, Q1)
S.Yang, G.Huang, X.Zhou, V.Mak, J.Yearwood. EWNSTREAM+: Effective and Real-Time Clustering of Short Text Streams Using Evolutionary Word Relation Network, International Journal of Information Technology & Decision Making (IJITDM), 20(1): 341-370 (2021) (Q1)
D. Qin, X. Zhou, L. Chen, G. Huang, Y. Zhang, Dynamic Connection-based Social Group Recommendation, IEEE Transactions on Knowledge and Data Engineering(TKDE) 32(3): 453-467 (2020) (CORE Rank: A*, Q1)
X. Zhou, D.Qin, L.Chen, Y. Zhang. Real-time Context-aware Social Media Recommendation, VLDB Journal 28(2): 197-219 (2019) (CORE Rank: A*, Q1)
C. He, J. Shao, X. Zhou, Clustering-based multiple instance learning with multi-view feature, Expert Syst. Appl. 162: 113027 (2020) ( Q1)
Y. Xiong, X. Zhou, Y. Zhang, S. Feng, D. Wang, Cross the data desert: Generating textual-visual summary on the evolutionary microblog stream, Multimedia Tools and Applications (MTAP) 78(6): 6409-6440 (2019) (Q1)
Y. Gu, Y. Guo, Y. Song, X. Zhou, G. Yu, Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data, IEEE Transactions on Knowledge and Data Engineering(TKDE)30(11): 2037-2050 (2018) (CORE Rank: A*, Q1)
X Chen, X Zhou, T Sellis, X Li, Social Event Detection with Retweeting Behavior Correlation, Expert Syst. Appl. 114: 516-523(2018) (Q1)
D. Qin, X. Zhou, W. Zhou, G. Huang, Y. Ren, B. Horan, J. He, N. Kito, MSIM: A Change Detection Framework for Damage Assessment in Natural Disasters, Expert Syst. Appl. 97: 372-383 (2018) (Q1)
X. Zhou, L. Chen, Y. Zhang, L. Cao, G. Huang, C. Wang. Enhancing online video recommendation using social user interactions. VLDB Journal 26(5): 637-656 (2017) (CORE Rank: A*, Q1)
G. Huang, J. He, W. Zhou, G.-L. Huang, L. Guo, X. Zhou, F. Tang, Discovery of Stop Regions for Understanding Repeat Travel Behaviors of Moving Objects, Journal of Computer and System Sciences, 82(4): 582-593 (2016). (CORE Rank: A*, Q1)
A. Bouguettaya, Q. Yu, X. Liu, X. Zhou, A. Song: Efficient agglomerative hierarchical clustering. Expert Syst. Appl. 42(5): 2785-2797 (2015) (Q1)
X. Zhou, L. Chen: Event Detection Over Twitter Social Media Streams, VLDB Journal 23(3): 381-400 (2014) (CORE Rank: A*, Q1)
X. Zhou, X. Zhou, L. Chen, A. Bouguettaya: On Efficient Subsequence Matching Over Large Video Databases. VLDB Journal, 21(4): 489-508, (2012) (CORE Rank: A*, Q1)
X. Zhou, L. Chen, X. Zhou. Structure Tensor Series-based Large Scale Near-Duplicate Video Retrieval. IEEE Transactions on Multimedia, 14(4): 1220-1233, (2012) (CORE Rank: A*, Q1)
C. Wang, R. Ranjan, X. Zhou, K. Mitra, S. Saha, M. Meng, D. Georgakopopulos, L. Wang, P. Thew. A Cloud-based Collaborative Video Story Authoring and Sharing Platform. CSI Journal of Computing, 1(3) 8:66-8:76, 2012.
X. Zhou, X. Zhou, L. Chen, Y. Shu, A. Bouguettaya, J. A. Taylor: Adaptive Subspace Symbolization for Contentbased Video Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE) 22(10): 1372-1387 (2010) (CORE Rank: A*, Q1)
X. Zhou, X. Zhou, L. Chen, A. Bouguettaya, N. Xiao, J. A. Taylor: An Efficient Near-Duplicate Video Shot Detection Method Using Shot-Based Interest Points. IEEE Transactions on Multimedia, 11(5):879-891, (2009) (CORE Rank: A*, Q1)
G. Wang, X. Zhou, B. Wang, B. Qiao, D. Han: A hyperplane based indexing technique for high-dimensional data. Information Sciences, 177(11): 2255-2268, (2007) (CORE Rank: A, Q1)
L. Chang, G. Li, X. Zhou, G. Wang: Improving the Similarity Search Performance in High-Dimensional Data Space by Satellite Region. Minimicro Systems, 27(04):668-672 (2006).
X. Zhou, G. Wang, L. Chang, D. Fan: Bulk-Loading M+-tree. Minimicro Systems, 27(02): 295-299(2006)
G. Wang, X. Zhou, B. Wang, B. Qiao, D. Han: MK-tree: An Effective Access Method for Indexing High Dimensional Data. Journal of Digital Information Management Vol.3, No.4, pages 257-264, 2005.
X. Zhou, G. Wang: Improving the high dimensional data similarity query by refining the query space, Journal of Northeastern University, August, 2005.
X. Zhou, G. Wang: Key Dimension Based High-dimensional Data Partition Strategy. Journal of Software, Vol.15, No 9, 2004.
Refereed Conference Publications
X. Cui, Y. Cheng, X. Zhou, Y. Sun: Cross-Platform Online Team Formation in Spatial Crowdsourcing. KDD 2025: 392 - 403 (CORE Rank: A*)
C. He, X. Zhou, Y. Cheng, J. Shao, G. Wang, I. Gondal, Z. Tari: Motivation-aware Session Planning over Heterogeneous Social Platforms. WWW 2025: 3415-3425 (CORE Rank: A*)
X. Zhou, L. Chen, C. He, J. Wu, W. Zhou, J. Shao, Y. Zhang : A Responsible and Extendable Context-Aware Recommender System. WWW (Companion Volume) 2025: 2955-2958 (CORE Rank: A*)
L. Kong, X. Yang, T. Li, B. Wang, X. Zhou: Reverse Distribution based Video Moment Retrieval for Effective Bias Elimination. AAAI 2025: 11959-11967 (CORE Rank: A*)
J. Yu, Y. Kou, D. Shen, X. Zhou, T. Nie, G. Yu, D. Li: Counterfactual Path Augmentation for Reinforcement Reasoning in Explainable Recommendation. DASFAA 2025 (CORE Rank: B, Accept as regular paper, Best Paper – Runner-Up Award )
Y. Du, Y. Kou, D. Shen, X. Zhou, T. Nie, G. Yu, D. Li: Experts2team: Task Relevance-Induced Team Formation by Combining Global Cohesion with Local Decoupling. DASFAA 2025 (CORE Rank: B, Accept as regular paper)
Y. Hou, Y. Kou, D. Shen, X.Zhou, D. Li, T.Nie and G..Yu: LeadFairRec: LLM-enhanced Discriminative Counterfactual Debiasing for Two-sided Fairness in Recommendation. CIKM 2025 (CORE Rank: A, Accept as regular paper)
A. Sathiyamoorthy, W. Zhou, X. Zhou, X. Li, I. Gondal: MFiSP: A Multimodal Fire Spread Prediction Framework for Natural Disaster Resilience. AJCAI 2025 (Accept as regular paper)
C. He, X. Zhou, C.Wang, I. Gondal, J. Shao, X. Yi: Online Anomaly Detection over Live Social Video Streaming. ICDE 2024: 4760-4772 (CORE Rank: A*)
Y. Cheng, Z. Liao, X. Huang, Y. Yang, X. Zhou, Y. Yuan, G. Wang: Cross Online Ride-sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing. ICDE 2024: 4140-4152 (CORE Rank: A*)
X. Chen, X. Zhou, J. Chan, L. Chen, T. Sellis, Y. Zhang: Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). ICDE 2024: 5729-5730 (CORE Rank: A*)
C. He, X. Zhou, C. Wang, L. Cao, J. Shao, and Z. Tari: Influence-aware Group Recommendation for Social Media Propagation. ICDM 2024: 4760-4772 (CORE Rank: A*)
W.Dou, D. Shen, X. Zhou, H.Bai, Y. Kou, T.Nie, H. Cui, G. Yu: Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy. CIKM 2024: 508-518 (CORE Rank: A)
X. Qiao, X. Zhou, H. Wang, Y. Zhang: EBUD: Evolving Disaster Burst Detection over Social Streams. WISE 2024 (2) 2024: 105-115 (CORE Rank: B)
J. Wu, X. Zhou, G. Huang, B. Cai, G.-L. Huang, H. Zheng, C.-H. Chi, J. He: Early Discovery of Key Innovative Publications by Analyzing Emerging Topic Trends. WISE 2024 (1) 2024: 174-188 (CORE Rank: B)
J. Wu, X. Zhou, E. Kuligowski, Y. Zhang: Queries Optimised LLM-Empowered Active Learning for Social Media Analysis of Human Behaviour in Bushfire Evacuations. ADC 2024: 17-29
C. Wang, Y. Kou, D. Shen, X. Zhou, T. Nie, G. Yu, D. Li: Preference Learning Based on Dynamic Dual-Cognition for Group Recommendation. ADC 2024: 250-264
W. Dou, D. Shen, X. Zhou, Y. Kou, G. Yu: Soft Target-enhanced Matching Framework for Deep Entity Resolution. AAAI 2023: 4259-4266 ( CORE Rank: A*)
N. Sun, Y. Kou, D. Li, D. Shen, X. Zhou, T. Nie: Learning Implicit Sentiment for Explainable Review-based Recommendation. ADC 2023: 59-72
S. Bo, X. Man, H. Xu, X. Zhou, J.Shao: Health Status Assessment for HDDs based on Bi-LSTM and N-dimensional Similarity Metric. ADC 2023 : 199-212
N. Xu, D.Wu, Q.Yang, H. Wang, X. Zhou, Z. Zheng, Y. Ge, X. Gao, J. Zhang: Ant Colony Optimization for Multiple Travelling Salesmen Problem with Pivot Cities. ICACI 2023:1-8
R. Zhu, Q. Yang, Z. Zheng, H. Wang, X. Zhou, D. Liu, L. Sun: GA=PSO: Realizing Equivalent Particle Swarm Optimization by Genetic Algorithm. ICACI 2023:1-7.
T.Li, X.Yang, B.Wang, X.Zhou. Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval. AAAI 2022: 10275-10282 (Core Rank: A*)
X. Chen, X. Zhou, J. Chan, L. Chen, T. Sellis, Y. Zhang, Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). ICDE 2022: 1553-1554 (Core Rank: A*)
C. He, X. Zhou, C. Wang. LIREM: A Generic Framework for Effective Online Video Novelty Detection. ER 2022 : 145-160 (Core Rank: A)
L. Wu, D. Wang, S. Feng, X. Zhou, Y. Zhang and G. Yu . Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces. WISE 2022: 579-594 (CORE Rank: A)
Y. Wang, J. Zhang, X. Zhou, Y. Zhang. Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-Task Recommendation. APWeb-WAIM (3) 2022:174-181 (Core Rank: B).
Y. Wang, Y. Yuan, H. Wang, X. Zhou, C. Mu, G. Wang. Constrained Route Planning over Large Multi-Modal Time-Dependent Networks. ICDE 2021: 313-324 ( Core Rank: A*)
X. Qiao, Y. Ma, Y. Yuan, X. Zhou: Influence Maximization Using User Connectivity Guarantee in Social Networks, ICBK 2021: 369-376
Y. Cheng, B. Li, X.Zhou, Y. Yuan, G. Wang, L. Chen, Real-Time Cross Online Matching in Spatial Crowdsourcing, ICDE 2020: 1-12 (Core Rank: A*)
R. Lumbantoruan, X. Zhou, Y. Ren, Declarative User-Item Profiling Based Context-Aware Recommendation. ADMA 2020. (Core Rank: B) pdf
Z. Wang, X. Zhou, Y. Ma and X. Yi, Online Community Identification Over Heterogeneous Attributed Directed Graphs. ADMA 2020 (Core Rank: B)
C. He, X. Zhou and C. Wang, MPB: Multi-Peak Binarization for Pupil Detection. ADMA 2020. (Core Rank: B)
Z. Wang, Y. Yuan, X. Zhou, H. Qin, Effective and Efficient Community Search in Directed Graphs Across Heterogeneous Social Networks. ADC 2020: 161-172
X. Zhou, D. Qin, X. Lu, L. Chen, Y. Zhang, Online Social Media Recommendation over Streams, ICDE 2019: 938-949 (Core Rank: A*) pdf
R. Lumbantoruan, X. Zhou, Y. Ren, L. Chen, I-CARS: An Interactive Context-Aware Recommender System, ICDM 2019: 1240-1245 (Core Rank: A*)
Q. Liao, X. Zhou, D. Wang, S. Feng, Y. Zhang, Role-Based Clustering for Collaborative Recommendations in Crowdsourcing System. ER 2019: 287-301(Core rank: A) pdf
S. Yang, G. Huang, X. Zhou,Y. Xiang: Dynamic Clustering of Stream Short Documents Using Evolutionary Word Relation Network. ICDS 2019
X. Zhou, J. Zhang, Y.Zhang, The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA), WSDM 2019: 842-843
R. Lumbantoruan, X. Zhou, Y. Ren, Z. Bao, D-CARS: A Declarative Context-Aware Recommender System, ICDM 2018: 1152-1157. (Core Rank: A*) pdf
B. Cai, G. Huang, Y. Xiang, G.-L. Huang, K. Deng, J. He, X. Zhou, Clustering of Multiple Density Peaks, the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18), pp. 413-425, Melbourne, Australia, June 3-6, 2018. (Core Rank: A)
T. Li, Y. Gu, X. Zhou, Q. Ma, G. Yu: An Effective and Efficient Truth Discovery Framework over Evolving Data Streams. EDBT 2017: 180-191. (Core Rank: A)
S. Yang, G. Huang, Y. Xiang, X. Zhou, C.-H. Chi: Modeling User Preferences on Spatiotemporal Topics for Pointof-Interest Recommendation. SCC 2017: 204-211. (Core Rank: A)
N. Kito, X. Zhou, D. Qin, Y. Ren, X. Zhang, J. Thom: Change Detection from Media Sharing Community. APWeb/WAIM (1) 2017: 391-398 (Core Rank: B)
W. Qu, X. Zhou, D. Wang, S. Feng, Y. Zhang, G. Yu: Intermediate Semantics based Distance Metric Learning for Video Annotation and Similarity Measurements. WISE (1) 2016: 227-242 (Core Rank: A)
L. Cui, X. Zhang, X. Zhou, F. Salim: Topical Event Detection on Twitter. ADC 2016: 257-268
D. Sha, D. Wang, X. Zhou, S. Feng, Y. Zhang, G. Yu: An Approach for Clothing Recommendation Based on Multiple Image Attributes. WAIM (1)2016: 272-285 (Core Rank: B)
X. Zhou, L. Chen, Y. Zhang, L. Cao, G. Huang, C. Wang. Online Video Recommendation in Sharing Community. SIGMOD Conference 2015: 1645-1656 (Core Rank: A*)
X. Zhou, L. Chen: ASVTDECTOR: A Practical Near Duplicate Video Retrieval System, in Proceedings of 29th IEEE International Conference on Data Engineering (ICDE, 2013): 1348-1351 (Core Rank: A*)
C. Wang, M. Meng, X. Zhou, R. Ranjan: A Social Network based Collaborative Video Story Composition Platform, in Service-Oriented Computing-ICSOC Workshops 2013: 443-446 (Core Rank: A)
D. Georgakopoulos, R. Ranjan, K. Mitra, X. Zhou: MediaWise - Designing a Smart Media Cloud, in Proceedings of the International Conference on Advances in Cloud Computing (ACC-2012(Keynote paper)
X. Zhou, L. Chen, X. Zhou: Structure Tensor Series-based Matching for Near-duplicate Video Detection, in Proceedings of 19th ACM Multimedia Conference (ACM MM 2011): 1057-1060 (Core Rank: A*)
X. Zhou, L. Chen: Monitoring Near Duplicates Over Video Streams, in Proceedings of 18th ACM International Conference on Multimedia (ACM MM 2010): 521-530 (Core Rank: A*)
X. Zhou, A. Bouguettaya: Continuous Subclip Detection Over Video Streams, ICTCC 2010.
X. Zhou, X. Zhou, A. Bouguettaya, J.-A. Taylor: A Subspace Symbolization Approach to Content-Based Video Search, in Proceedings of 25th IEEE International Conference on Data Engineering (ICDE 2009): 1191-1194 (Core Rank: A*)
X. Zhou, John. A. Taylor: Adaptive Subspace Symbolization for Content-based Near Duplicate Video Retrieval, ICTCC 2009
Y. Li, D. Zhang, X. Zhou, J. Jin: A Confidence Based Recognition System for TV Commercial Extraction, in ADC 2008: 57-64
Z. Huang, Y. Li, J. Shao, H. Shen, L. Wang, D. Zhang, X. Zhou, X. Zhou (in alphabetical order): Content-Based Video Search: is there a need, and is it possible? In Proceedings of International Workshop on Information-explosion and Next Generation Search (INGS 2008): 12-19.
X. Zhou, X. Zhou, H. Shen: Efficient Similarity Search by Summarization in Large Video Database, in ADC 2007: 161-167
X. Zhou, X. Zhou, H. Shen: A New Similarity Measure for Near Duplicate Video Clip Detection, Joint 9th Asia-Pacific Web Conference and 8th International Conference on Web-Age Information Management (Apweb/WAIM 2007: 176-187 (Core Rank: B)
H. Shen, X. Zhou, Z. Huang, J. Shao, X. Zhou: UQLIPS: A Real-time Near-Duplicate Video Clip Detection System, in Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB 2007): 1374-1377 (Core Rank: A*)
Y. Zhang, X. Zhou, Y. Gao: Optimizing the Data Intensive Mediator-based Web Services, in APweb 2006: 708-713(Core Rank: B)
X. Zhou, G. Wang, X. Zhou, G. Yu: BM+-tree: A Hyperplane-based Index Method for High-Dimensional Metric Spaces. in Proceedings of 10th International Conference on Database Systems for Advanced Applications (DASFAA) (LNCS 3453), pages 398-409, 2005, Beijing, China. (Core Rank: A)
X. Zhou, G. Wang, J. Yu, G. Yu: M+-tree: A New Dynamical Multidimensional Index for Metric Spaces’, in Proceedings of 14th Australasian Database Conference (ADC), pages 161-168. 2003 (Best student paper award)
X. Zhou, G. Wang, G. Yu: A Research of Index Methods in Metric Spaces. NDBC 2002& Computer Science (S), Vol.29 B., Aug., 2002.
Patents
Lei Chen, Xiangmin Zhou and Xiuqiang He: SOCIAL CONTACT MESSAGE MONITORING METHOD AND DEVICE. (Patent No: WO2015165230A1, CN105095228A), ISSUED on Nov. 5, 2015
Lei Chen, Xiangmin Zhou and Xiuqiang He: Social Message Monitoring Method and Apparatus. US Patent App. 15/147,684, Publication data: 25/08/2016 (Patent No: US10250550B2), Granted on April 2, 2019
Project Reports
Enrico Ronchi, Jonathan Wahlqvist, Arthur Rohaert, Erica Kuligowski, Junfeng Wu, Xiangmin Zhou, Dhirendra Singh, Guillermo Rein, Harry Mitchell, Nikolaos Kalogeropoulos, Steve Gwynne, Hui Xie, Peter Thompson, Max Kinateder, Maxine Berthiaume, Noureddine Bénichou, Amanda Kimball: WUI-NITY 4: An Industry-Ready WUI Fire Evacuation Model. NIST project report. 2024 ( 2025 Fire Protection Research Foundation Medal (USA) )
Claire Fisk, Roshni Sharma, Roberto Musotto, Alireza Shamakhy, Yi Lu, Nirajan Shiwakoti, Xiangmin Zhou, Peter Corlett, T1-P1 Research Data management, Data management framework development and data catalogue. 2023
Others
D. Georgakopoulos, R. Ranjan, K. Mitra, Xiangmin Zhou: MediaWise - Designing a Smart Media Cloud, CoRR abs/1206.1943: (2012)
Xiangmin Zhou, Dong Qin, Xiaolu Lu, Lei Chen, Yanchun Zhang: Online Social Media Recommendation over Streams. CoRR abs/1901.01003 (2019)
Chengkun He, Xiangmin Zhou, Chen Wang, Iqbal Gondal, Jie Shao, Xun Yi: Online Anomaly Detection over Live Social Video Streaming. CoRR abs/2401.08615 (2024)