项昊龙

个人简介

项昊龙，本科毕业于山东大学软件工程专业，硕士毕业于南京大学计算机科学与技术系，2024年获澳大利亚麦考瑞大学计算机系博士学位，读博期间获得奥克兰大学全额奖学金和麦考瑞大学全额奖学金。2024年入选江苏省科技副总。他的研究兴趣包括异常检测、数据挖掘、人工智能和多模态大模型。在NeurIPS、IJCAI、ICML、SIGIR、WWW、AAAI、ICDM、TSC、TOIS、JSAC、TOMM等国际会议和期刊上发表论文40余篇；担任国际会议ICPADS 2023和DSAA 2023的领域主席，KDD、NeurIPS、ICLR、ICML、IJCAI、AAAI等国际顶级会议的程序委员。

代表论文：

[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)

教育经历

[1] 澳大利亚麦考瑞大学 哲学博士  |  博士

[2] 南京大学 工学硕士  |  硕士

[3] 山东大学 工学学士  |  本科

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