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IJCAI、ICML、SIGIR、WWW、AAAI、ICDM、CIKM、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：

[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)

[ICML'25] Xiaolong Xu, Yibo Zhou, Haolong Xiang*, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou. DocKS-RAG: Optimizing Document-Level RelationExtraction through LLM-Enhanced Hybrid Prompt Tuning. International Conference on Machine Learning (ICML), 2025. (CCF-A)

[IJCAI'25] Yifan Zhang, Haolong Xiang*, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai. 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)

[IJCAI'25] Peng Chen, Haolong Xiang*, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou. 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)

[IJCAI'25] Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou. CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation. Proceedings of the Thirty-fourth International Joint Conference on Artificial Intelligence (IJCAI). 2025. (CCF-A)

[TOIS'25] Xiaolong Xu, Hongsheng Dong, Haolong Xiang, Xiyuan Hu, Xiaoyong Li, Xiaoyu Xia, Xuyun Zhang, Lianyong Qi, Wanchun Dou, C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variable. ACM Transactions on Information Systems  (TOIS), 2025. (CCF-A期刊)

[AAAI'25] Xiaolong Xu, Yibo Zhou, Haolong Xiang*, Xiaoyong Li*, Xuyun Zhang, Lianyong Qi and Wanchun Dou. NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification. In 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.  (CCF-A)

[AAAI'25] Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang*, Xiaolong Xu and Wanchun Dou*. PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers. In 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.  (CCF-A)

[AAAI'25] Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang and Lianyong Qi. DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. In 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.  (CCF-A)

[WWW'25] Xiaolong Xu, Yuxin Cao, Hongsheng Hu, Haolong Xiang*, Lianyong Qi, Junqun Xiong, Wanchun Dou. 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)

[WWW'25] Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li. Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. In Proceedings of the ACM Web conference (WWW), 2025. (CCF-A)

[JSAC'25] Xiaolong Xu, Ke Meng, Haolong Xiang, Guangming Cui, Xiaoyu Xia, Wanchun Dou. 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)

[ICDM'24]  Yifan Zhang, Haolong Xiang*, Xuyun Zhang, Xiaolong Xu, Wei Fan, Qin Zhang, and Lianyong Qi. EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection. IEEE International Conference on Data Mining (ICDM), 2024. (CCF-B)

[TST'24] Jiajie Xu, Haolong Xiang*, Shaobo Zang, Muhammad Bilal, Maqbool Khan, Guangming Cui. A DQN-based Edge Offloading Method for Smart City Pollution Control. Tsinghua Science and Technology (TST), 2024. (中科院二区)

[SIGIR'24] Xiaolong Xu, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024. (CCF-A)

[ADMA'24] Hao Tian, Haolong Xiang, Tingtong Zhu, Siyuan Wu, Cheng Chen, Zheng Li, Mingxu Jiang, Wanchun Dou. 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)

[AES'25] 许小龙，杨威，杨辰翊，程勇，齐连永，项昊龙，窦万春. 车联网边缘计算环境下基于流量预测的高效任务卸载策略研究. 电子学报, 2025. (CCF-T1中文期刊)

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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