Shuai XU (胥帅)

My research focuses on:

Multimodal Data Modeling and Mining: cross-modal semantic understanding for anomaly detection, explainable recommendations, social system analysis, etc.

AI-Driven Applications in Industrial Applications: defect detection, fault prediction, etc.

Welcome to join!

Our ability to collect, transmit, and store data, creates an opportunity to leverage and analyze these data to make cities more productive, livable, intelligent, and resilient.

Selected Publications:

• "Shot-Conditioned Vision-Language Adaptation for Effective Harmful Content Detection from Online Short Videos",
  Shuai Xu(✉), Zao Qiu, Xuelin Zhu, Yicong Li
  The 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026. [Paper]
• "LADI: Logic-Aware Dual Injection for Instruction-Guided Image Editing via Structural-Semantic Disentanglement",
  Wenlei Wang, Shuai Xu(✉), Ali Ibrahim Abba
  The 10th APWeb-WAIM joint International Conference on Web and Big Data (APWeb-WAIM), 2026. [Paper]
• "MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning",
  Yue Wang, Shuai Xu(✉), Xuelin Zhu, Yicong Li
  The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. [Paper]
• "A Survey of Zero-shot Image Classification: Concepts, Developments and Challenges",
  Shuai Xu, Yue Wang, Xuelin Zhu, Donghai Guan, Ziqian Zhang, Feng Lin
  Tsinghua Science and Technology, 2025. [Paper]
• "Usefulness and Diminishing Returns: Evaluating Social Information in Recommender Systems",
  Qing Meng, Huiyu Min, Mingshan Hee, Roy Ka-Wei Lee, Bingtian Dai, Shuai Xu(✉)
  The 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025. [Paper]
• "Multimodal Sentiment Analysis with Multi-Perspective Thinking via Large Multimodal Models",
  Juhao Ma, Shuai Xu(✉), Yicong Li, Xiaoming Fu
  The 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025. [Paper]
• "Evolution of Malicious Social Bot Detection: From Individual Profiling to Group Analysis and Beyond",
  Yina Liu, Shuai Xu(✉), Yicong Li, Shuo Yu
  IEEE Journal of Social Computing, 2025. [Paper]
• "意图感知的社交网络用户城外移动行为预测",
  胥帅, 李博涵, 许建秋, 曹玖新, 傅晓明
  计算机学报, 2024. [Paper]
• "Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages",
  Shuai Xu, Jianqiu Xu, Shuo Yu, Bohan Li
  The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024. [Paper]
• "CrossPred: A Cross-City Mobility Prediction Framework for Long-Distance Travelers via POI Feature Matching",
  Shuai Xu, Donghai Guan
  The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024. [Paper]
• "CH-Mits: A Cross-Modal Dataset for User Sentiment Analysis on Chinese Social Media",
  Juhao Ma, Shuai Xu(✉), Yilin Liu, Xiaoming Fu
  The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024. [Paper]
• "跨城市人类移动行为预测研究综述",
  张雨松, 胥帅(✉), 严兴宇, 关东海, 许建秋
  计算机科学, 2024. [Paper]
• "ELEvent: An Abnormal Event Detection System in Elevator Cars",
  Xingyu Yan, Shuai Xu(✉), Yusong Zhang, and Bohan Li
  The 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2024. [Paper]
• "Predicting Where You Visit in A Surrounding City: A Mobility Knowledge Transfer Framework based on Cross-City Travelers",
  Shuai Xu, Jianqiu Xu, Bohan Li, and Xiaoming Fu
  The 28th International Conference on Database Systems for Advanced Applications (DASFAA), 2023. [Paper]
• "Inferring Individual Human Mobility from Sparse Check-in Data: A Temporal-Context-Aware Approach",
  Shuai Xu, Xiaoming Fu, Dechang Pi, and Zhuo Ma
  IEEE Transactions on Computational Social Systems (TCSS), 2022. [Paper]
• "Graph-based Sequential Interpolation Recommender for Cold-start Users",
  Aoran Li, Jiajun Wu, Shuai Xu(✉), Yalei Zang, Yi Liu, Yanchao Zhao, Gaoxu Wang, and Qing Meng
  The 6th International Joint Conference on Web and Big Data (APWeb-WAIM), 2022. (✌ Best Student Paper) [Paper]
• "A Temporal-Context-Aware Approach for Individual Human Mobility Inference based on Sparse Trajectory Data",
  Shuai Xu, Donghai Guan, Zhuo Ma, and Qing Meng
  The 6th International Joint Conference on Web and Big Data (APWeb-WAIM), 2022. [Paper]
• "LPP2KL: Online Location Privacy Protection against Knowing-and-Learning Attacks for LBSs",
  Zhuo Ma, Shuai Xu, Bo Liu, and Jiuxin Cao
  IEEE Transactions on Computational Social Systems (TCSS), 2022. [Paper]
• "Hierarchical Temporal-Spatial Preference Modeling for User Consumption Location Prediction in Geo-Social Networks",
  Shuai Xu, Dechang Pi, Jiuxin Cao, and Xiaoming Fu
  Information Processing and Management (IPM), 2021. [Paper]
• "PAL-FD: An Efficient and Accurate Multi-Scene Human Face Detection Tool for Windows",
  Shuai Xu, Zhelong Huang, Pinyi Qian, and Jiacheng Cen
  The 23rd IEEE International Conference on High Performance Computing and Communications (HPCC), 2021. [Paper]
• "Survey on User Location Prediction based on Geo-Social Networking Data",
  Shuai Xu, Xiaoming Fu, Jiuxin Cao, Bo Liu, and Zhixiao Wang
  World Wide Web Journal (WWWJ), 2020. [Paper]
• "Venue2Vec: An Efficient Embedding Model for Fine-grained User Location Prediction in Geo-Social Networks",
  Shuai Xu, Jiuxin Cao, Shancang Li, Phil Legg, and Bo Liu
  IEEE Systems Journal (ISJ), 2020. [Paper]
• "Community Discovery based on Social Relations and Temporal-Spatial Topics in LBSNs",
  Shuai Xu, Jiuxin Cao, Xuelin Zhu, Yi Dong, and Bo Liu
  Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018. [Paper]
• "Effective Fine-grained Location Prediction based on User Check-in Pattern in LBSNs",
  Jiuxin Cao, Shuai Xu(Co-first author), Xuelin Zhu, Renjun Lv, and Bo Liu
  Journal of Network and Computer Applications (JNCA), 2018. [Paper]
• "在线社交网络中地域性话题发现",
  曹玖新, 胥帅, 陈高君, 赵力阳, 周涛, 刘波
  计算机学报, 2017. [Paper]
• "Efficient Fine-grained Location Prediction based on User Check-in Pattern in LBSNs",
  Jiuxin Cao, Shuai Xu, Xuelin Zhu, Renjun Lv, and Bo Liu
  Proceedings of the 5th International Conference on Advanced Cloud and Big Data (CBD), 2017. [Paper]
• "Joint Visual-Textual Sentiment Analysis based on Cross-Modality Attention Mechanism",
  Xuelin Zhu, Biwei Cao, Shuai Xu, Bo Liu, and Jiuxin Cao
  Proceedings of the 25th International Conference on Multimedia Modeling (MMM), 2019. [Paper]
• "Attribute-based Influence Maximization in Social Networks",
  Jiuxin Cao, Tao Zhou, Dan Dong, Shuai Xu, Ziqing Zhu, Zhuo Ma, and Bo Liu
  Proceedings of the 17th International Conference on Web Information Systems Engineering (WISE), 2016. [Paper]
• "Location-based Influence Maximization in Social Networks",
  Tao Zhou, Jiuxin Cao, Bo Liu, Shuai Xu, Ziqing Zhu, and Junzhou Luo
  Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015. [Paper]

Patents ＆ Copyrights:

• "一种基于层次特征融合的组合式零样本图像分类方法"
  胥帅, 王越, 刘莹, 仇藻
  中国专利（Chinese Patent）, 专利号：ZL202510005907.5.
• "一种基于因果推断的极端环境下变频器劣化预测方法"
  胥帅, 刘莹, 关东海
  中国专利（Chinese Patent）, 专利号：ZL202510229024.2.
• "一种基于多帧关键特征融合的电梯轿厢异常事件检测方法"
  胥帅, 严兴宇, 李程昊, 王越
  中国专利（Chinese Patent）, 专利号：ZL202410508296.1.
• "基于城市功能区域匹配的跨城市人群流量趋势预测方法"
  胥帅, 严兴宇, 张雨松, 李程昊, 许建秋
  中国专利（Chinese Patent）, 专利号：ZL202410107445.3.
• "一种基于跨城市兴趣点匹配的用户异地访问位置预测方法"
  胥帅, 许建秋, 关东海
  中国专利（Chinese Patent）, 专利号：ZL202210483729.3.
• "一种基于传播结构动态保持的网络谣言检测方法"
  胥帅, 许建秋, 李博涵, 关东海
  中国专利（Chinese Patent）, 专利号：ZL202311339162.3.
• "一种基于不完全监督的暗网加密流量分类方法"
  胥帅, 黄钰, 许建秋, 关东海
  中国专利（Chinese Patent）, 专利号：ZL202211068208.8.
• "针对社交网络用户在未来给定时间的访问位置预测方法"
  胥帅, 许建秋
  中国专利（Chinese Patent）, 专利号：ZL202110575135.0.
• "一种地理敏感动态社交环境下用户访问位置的预测方法"
  胥帅, 许建秋, 关东海
  中国专利（Chinese Patent）, 专利号：ZL202110578856.7.
• "一种基于弱监督增强的社交网络用户所处地域识别方法"
  胥帅
  中国专利（Chinese Patent）, 专利号：ZL202111035304.8.
• "大学校园即时快递代取应用软件"
  胥帅
  软件著作权（Chinese Copyright）, 登记号：2021SR1096478.
• "云端一站式法律业务咨询服务软件"
  胥帅
  软件著作权（Chinese Copyright）, 登记号：2023SR1297504.

Honors & Awards:

• 2025年度江苏省信息技术学会青年科技奖
• 斯坦福大学2025年全球前2%顶尖科学家
• CAAI第八届全国大数据与社会计算学术会议BDSC最佳审稿人
• IEEE Journal of Social Computing 2022年度最佳审稿人（唯一）
• CCF推荐会议APweb-WAIM2022最佳学生论文奖（通讯作者）
• CAAI（中国人工智能学会）2022年度社会计算青年学者新星奖
• 2022年南京航空航天大学优秀本科毕业设计指导教师、优秀班主任
• 2021年ACM南京分会优秀博士论文奖
• 2021年江苏省“双创博士”（省部级人才计划）
• 2021年南京航空航天大学“项目式实践”优秀指导教师
• CNCC2021（中国计算机大会）“优秀技术论坛”执行主席（11/113）
• 2020年度“领跑者5000”中国精品科技期刊顶尖学术论文

Professional Services:

• Membership
  • Member of IEEE/ACM/CCF/CAAI
  • Executive member of CCF Technical Committee on Network and Data Communications (CCF TCCOMM)
  • AC member and academic secretary of CCF YOCSEF Nanjing (2021-2022)
• Reviewers
  • Journal reviewer: IEEE Transactions on Computational Social Systems, Knowledge-Based Systems, World Wide Web Journal, Information Systems Frontiers, Frontiers of Computer Science, 计算机学报，计算机研究与发展.
  • Conference reviewer: APWeb-WAIM 2022-, ADMA 2022-, PAKDD 2020-, DASFAA 2022-, CIKM 2023-, SIGKDD 2024-, IJCAI 2024-.
• Conference PC Members
  • Senior Program Committee & Web Chair of APWeb-WAIM 2022, BDSC 2023, ICA3PP 2023-2024, SocialMeta 2023-2024, CIKM 2023-, MobiArc 2023-, DASFAA 2024-.
• Scientific Editorial Services
  • Associate Editor, Journal of Social Computing (2023-)
  • Associate Editor, Journal of Artificial Intelligence Research (2024-)
  • Early career editorial board, Computer Systems Science and Engineering (2023-)

Research Grants:

• Natural Science Foundation of China
• Fundamental Research Funds for the Central Universities
• Natural Science Foundation of Jiangsu Province
• High-Level Innovation and Entrepreneurship Talent Introduction Program of Jiangsu Province
• Various projects commissioned by enterprises like China State Grid and Research Institutes
• Open Research Fund of State Key Laboratory of Novel Software Technology (Nanjing University)
• Start-up Fund for NUAA New Faculty

Teaching:

• Operating Systems (for undergraduates, Spring 2021)
  
• Management and Analysis on Mobile Object Perception Data(for undergraduates, Spring 2021)
  
• Computer Vision and Artificial Intelligence (for undergraduates and masters, Summer School 2021~2024)
  
• An Introduction to Computer (for undergraduates, Fall 2021~2024)
  
• Case Study of Artificial Intelligence Applications (for undergraduates, Spring 2024)
  
• Social Computing: Theories and Practice (for graduates, Fall 2024)