Haolong Xiang received Bachelor Degree in the department of software engineering from Shandong University, and Master Degree in the department of computer science from Nanjing University. He received the Doctoral Degree in the school of computing at the Macquarie University (Sydney, Australia, 2024), and received a full scholarship from the University of Auckland and Macquarie University during his doctoral study. In 2024, he was selected as Vice president of Science and Technology of Jiangsu Province. His research interests include anomaly detection, data mining, artificial intelligence, and edge computing. He has published more than 40 papers in the international conferences and journals, including NeurIPS, IJCAI, ICML, SIGIR, WWW, AAAI, ICDM, TSC, TOIS, JSAC, TOMM, etc. He is the area chair of the international conferences ICPADS 2023 and DSAA 2023, and the PC member and reviewer of KDD, NeurIPS, ICLR, ICML, IJCAI, AAAI, etc.

Selected Papers：

[AAAI'26] Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang, Quan Z. Sheng, Amin Beheshti, Wei Fan. MTP: Exploring Multimodal Urban Traffic Profiling with Spectrum Fusion and Modality Augmentation. AAAI, 2026. (CCF-A, Oral)

[IJCAI'25] Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan. Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. Proceedings of the Thirty-fourth International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF-A)

[IJCAI'23] Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu. OptIForest: Optimal Isolation Forest for Anomaly Detection. International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF-A)

[TOMM'24] Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Amin Beheshti, Lianyong Qi, Yujie Hong, Wanchun Dou. Federated Learning-Based Anomaly Detection with Isolation Forest in the IoT-Edge Continuum. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024. (CCF-B期刊)

[ICDM'23] Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu. Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. IEEE International Conference on Data Mining (ICDM), 2023. (CCF-B)

[ICDM'22] Haolong Xiang, Hongsheng Hu, Xuyun Zhang. Deepiforest: A Deep Anomaly Detection Framework with Hashing Based Isolation Forest. IEEE International Conference on Data Mining (ICDM), 2022. (CCF-B)

[SP&E'24] Haolong Xiang, Xuyun Zhang, Muhammad Bilal. A Cloud-edge Service Offloading Method for the Metaverse in Smart Manufacturing. Software: Practice and Experience (SP&E), 2024. (CCF-B期刊)

[WWW J'22] Haolong Xiang, Xuyun Zhang. Edge Computing Empowered Anomaly Detection Framework with Dynamic Insertion and Deletion Schemes on Data Streams. World Wide Web (WWW J), 2022. (CCF-B期刊)

[CIKM'20] Haolong Xiang, Zoran Salcic, Wanchun Dou, Xiaolong Xu, Lianyong Qi, Xuyun Zhang. OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection. ACM International Conference on Information and Knowledge Management (CIKM), 2020. (CCF-B)

[TSC'25] Multi-Center Hierarchical Federated Learning for Personalized User Experiences in the Metaverse. IEEE Transactions on Services Computing, 2025. (CCF-A类期刊，通讯)

[NeurIPS'25] HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation. In Neural Information Processing Systems (NeurIPS), 2025. (CCF-A，通讯)

[ICML'25] DocKS-RAG: Optimizing Document-Level RelationExtraction through LLM-Enhanced Hybrid Prompt Tuning. International Conference on Machine Learning (ICML), 2025. (CCF-A，通讯)

[IJCAI'25] MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection. Proceedings of the Thirty-fourth International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF-A，通讯)

[IJCAI'25] Universal Backdoor Defense via Label Consistency in Vertical Federated Learning. Proceedings of the Thirty-fourth International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF-A，通讯)

[AAAI'25] PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers. In 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.  (CCF-A，通讯)

[WWW'25] MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization. In Proceedings of the ACM Web conference (WWW), 2025. (CCF-A，通讯)

[JSAC'25] Blockchain-Enabled Secure, Fair and Scalable Data Sharing in Zero-Trust Edge-End Environment. IEEE Journal on Selected Areas in Communications, 2025. (CCF-A期刊)

[UIC'25] Privacy-Aware Energy and Trajectory Optimization for Multi-UAV in Edge Computing, In 22nd IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC), 2025. (CCF-C，最佳学生论文奖)

[ADMA'24] An Inference Acceleration Approach for Boosting DNN Cold Start in Cloud-Edge Computing. International Conference Advanced Data Mining and Applications (ADMA), 2024. (CCF-C, Best Student Paper Runner-Up)