Publications

Computational Social and Information Systems

Social Media Popularity Prediction

• Jointly optimizing retrieval and prediction for multimodal social media popularity. AAAI. 2026. Oral. pdf. code. video.
• Improving multimodal social media popularity prediction via selective retrieval knowledge augmentation. AAAI. 2025. pdf. code. poster.

Information Cascade in Social Networks

• CCGL: Contrastive cascade graph learning. TKDE. 2022. arXiv. code.
• A survey of information cascade analysis. ACM Computing Surveys. 2021. arXiv.
• CasFlow: Exploring hierarchical structures and propagation uncertainty for cascade prediction. TKDE. 2021. pdf. code.
• Variational information diffusion for probabilistic cascades prediction. INFOCOM. 2020. Oral. pdf. code. video.

Crowdfunding Campaign

• Commonality augmented disentanglement for multimodal crowdfunding success prediction. ICASSP. 2025. code.
• MDCC: A multimodal dynamic dataset for donation-based crowdfunding campaigns. CIKM. 2023. Oral. pdf. data.

Science of Science

• Heterogeneous dynamical academic network for learning scientific impact propagation. KBS. 2022. pdf. code.

Recommendation & Industry

• RRE: A relevance relation extraction framework for cross-domain recommender system at Alipay. ICME. 2024. Oral. pdf. code. Best Paper Candidate.

Spatial-Temporal Data Modeling & Urban Computing

Fine-Grained Urban Flow Inference

• Spatial-temporal contrasting for fine-grained urban flow inference. IEEE Transactions on Big Data. 2023. pdf. code.
• Overcoming forgetting in fine-grained urban flow inference via adaptive knowledge replay. AAAI. 2023. Oral. pdf. code. extension.

Major Role Collaborative
† Equal Contribution * Corresponding

2026

Jiansong Yang, Tao Li, Hanbo Yang, Yan Liu, and Xovee Xu*. Directional Graph Flow and Koopman-Inspired Dynamics for Probabilistic Land Deformation Prediction International Conference on Computer and Communication Systems (ICCCS). Apr 2026. Best Presentation Award

Xovee Xu, Shuojun Lin, Fan Zhou, and Jingkuan Song*. Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity AAAI Conference on Artificial Intelligence. Jan 2026. PDF Code Video

2025

Xovee Xu. Understanding and Predicting Multimodal User-Generated Content PhD Dissertation. University of Electronic Science and Technology of China (UESTC). Dec 2025.

Abdisalam Mahamed Badel, Ting Zhong, Xovee Xu, Wenxin Tai, and Fan Zhou*. Hate Speech Detection in Somali-English Code-Switched Texts CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC). Aug 2025. PDF Code

Yutao Wei†, Hongzhu Fu†, Yuxiang Li, Yichen Xin, Xovee Xu, Ting Zhong*, and Fan Zhou. Decoding Emotional Silences: Reliable Multimodal Sentiment Analysis with Bipolar Uncertainty IEEE International Conference on Multimedia and Expo (ICME). June 2025. PDF Code

Weifeng Zhang, Yan Liu, Xovee Xu, Fan Zhou*, Ting Zhong, and Kunpeng Zhang. Generalizing Across Non-stationary Series via Learning Dynamic Causal Factors Pattern Recognition. June 2025. PDF

Chunjin Xiao, Jiahui Lu, Xovee Xu, Fan Zhou, Tianshu Xie, Wei Lu*, and Lifeng Xu*. Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Apr 2025. arXiv

Jian Lang, Rongpei Hong, Jin Xu, Yili Li, Xovee Xu, and Fan Zhou*. Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection The ACM Web Conference (WWW). Apr 2025. PDF Code

Xinglin Lian, Chengtai Cao, Yan Liu, Xovee Xu, Yu Zheng*, and Fan Zhou*. Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences The ACM Web Conference (WWW). Apr 2025. PDF

Jiayang Li†, Xovee Xu†, Yili Li, Ting Zhong, Kunpeng Zhang, and Fan Zhou*. Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Apr 2025. PDF Code

Zhangtao Cheng, Jienan Zhang, Xovee Xu, Wenxin Tai, Fan Zhou*, Goce Trajcevski, and Ting Zhong. Information Diffusion Prediction via Meta-Knowledge Learners Information Sciences. Feb 2025. PDF Code

Xovee Xu, Yifan Zhang, Fan Zhou, and Jingkuan Song*. Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation AAAI Conference on Artificial Intelligence. Feb 2025. PDF Code Poster

2024

Leyuan Liu, Zhangtao Cheng, Xovee Xu, and Fan Zhou*. Denoising Propagation Uncertainty for Information Source Localization IEEE Global Communications Conference (GLOBECOM). Dec 2024. PDF

Xovee Xu, Ting Zhong, Haoyang Yu, Fan Zhou*, and Goce Trajcevski. Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference ACM Transactions on Spatial Algorithms and Systems (TSAS). Oct 2024. PDF Code

Zhangtao Cheng, Fan Zhou*, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Philip S. Yu. Information Cascade Popularity Prediction via Probabilistic Diffusion IEEE Transactions on Knowledge and Data Engineering (TKDE). Sept 2024. PDF Code

Xin Liu, Yi He, Wenxin Tai*, Xovee Xu, Fan Zhou, and Guangchun Luo. Exploring the Chameleon Effect of Contextual Dynamics in Temporal Knowledge Graph for Event Prediction Tsinghua Science and Technology. Sept 2024. PDF

Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, and Fan Zhou*. Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Aug 2024. Oral. PDF Code

Jiayang Gu†, Xovee Xu†, Yulu Tian, Yurun Hu, Jiadong Huang, Wenliang Zhong, Fan Zhou, and Lianli Gao*. RRE: A Relevance Relation Extraction Framework for Cross-Domain Recommender System at Alipay IEEE International Conference on Multimedia and Expo (ICME). July 2024. Oral. PDF Code Best Paper Candidate (15 candidates / 2,099 submitted, ~0.71%)

Chunjing Xiao, Shikang Pang, Xovee Xu*, Xuan Li, Goce Trajcevski, and Fan Zhou*. Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection IEEE Transactions on Computational Social Systems (TCSS). June 2024. arXiv Code

Zhenhui Li, Fan Zhou, Zhiyuan Wang, Xovee Xu*, Leyuan Liu, and Guangqiang Yin. Measuring and Classifying IP Usage Scenarios: A Continuous Neural Trees Approach Scientific Reports. Mar 2024. PDF

2023

Xovee Xu†, Jiayang Li†, and Fan Zhou*. MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns ACM International Conference on Information and Knowledge Management (CIKM). Oct 2023. Oral. PDF Code Data

Ce Li, Rongpei Hong, Xovee Xu*, Goce Trajcevski, and Fan Zhou. Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction ACM International Conference on Information and Knowledge Management (CIKM). Oct 2023. Oral. PDF Code

Xovee Xu†, Tangjiang Qian†, Zhe Xiao, Ni Zhang, Jin Wu, and Fan Zhou*. PGSL: A Probabilistic Graph Diffusion Model for Source Localization Expert Systems With Applications. Oct 2023. PDF

Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou*, and Goce Trajcevski. Predicting Human Mobility via Self-Supervised Disentanglement Learning IEEE Transactions on Knowledge and Data Engineering (TKDE). Sept 2023. PDF Code

Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui*, Fan Zhou, and Goce Trajcevski. Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference IEEE Transactions on Big Data. Sept 2023. PDF Code

Xovee Xu, Ting Zhong, Fan Zhou*, Rongfan Li, Goce Trajcevski, and Qinggang Meng. Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction IEEE Transactions on Cybernetics. July 2023. PDF

Xovee Xu†, Zhiyuan Wang†, Fan Zhou*, Ying Huang, Ting Zhong, and Goce Trajcevski. Dynamic Transformer ODEs for Large-Scale Reservoir Inflow Forecasting Knowledge-Based Systems. June 2023. PDF

Xovee Xu, Yutao Wei, Pengyu Wang, Xucheng Luo*, Fan Zhou, and Goce Trajcevski. Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). June 2023. Oral. PDF Video

Chunjing Xiao†, Xovee Xu†, Yue Lei, Kunpeng Zhang, Siyuan Liu, and Fan Zhou*. Counterfactual Graph Learning for Anomaly Detection on Attributed Networks IEEE Transactions on Knowledge and Data Engineering (TKDE). Feb 2023. PDF Code

Haoyang Yu†, Xovee Xu†, Ting Zhong*, and Fan Zhou*. Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay AAAI Conference on Artificial Intelligence. Feb 2023. Oral. PDF Code

2022

Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Weifeng Zhang, Ting Zhong, and Fan Zhou*. Learning Latent Seasonal-Trend Representations for Time Series Forecasting Conference on Neural Information Processing Systems (NeurIPS). Nov 2022. Oral. PDF Appendix Code Video

Yang Cao, Zhenzhen Dang, Feng Wu, Xovee Xu*, and Fan Zhou. Probabilistic Electricity Demand Forecasting with Transformer-Guided State Space Model IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). Nov 2022. PDF

Liu Yu†, Xovee Xu†, Goce Trajcevski, and Fan Zhou*. Transformer-Enhanced Hawkes Process with Decoupling Training for Information Cascade Prediction Knowledge-Based Systems. Aug 2022. PDF

Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu*, Xucheng Luo, and Fan Zhou. Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). May 2022. PDF Data Video

Zhiyuan Wang†, Xovee Xu†, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fan Zhou*. PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI Conference on Artificial Intelligence. Feb 2022. PDF

Xovee Xu, Fan Zhou*, Kunpeng Zhang, and Siyuan Liu. CCGL: Contrastive Cascade Graph Learning IEEE Transactions on Knowledge and Data Engineering (TKDE). Feb 2022. PDF Code

2021

Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, and Fan Zhou*. Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation Knowledge-Based Systems. Dec 2021. PDF Code

Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu*, and Goce Trajcevski. HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment IEEE Global Communications Conference (GLOBECOM). Dec 2021. PDF

Fan Zhou, Pengyu Wang, Xovee Xu*, Wenxin Tai, and Goce Trajcevski. Contrastive Trajectory Learning for Tour Recommendation ACM Transactions on Intelligent Systems and Technology (TIST). Nov 2021. PDF

Xovee Xu, Fan Zhou*, Kunpeng Zhang, Siyuan Liu, and Goce Trajcevski. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction IEEE Transactions on Knowledge and Data Engineering (TKDE). Nov 2021. PDF Code

Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou*, and Yong Wang. Vector-Quantized Autoencoder with Copula for Collaborative Filtering ACM International Conference on Information and Knowledge Management (CIKM). Short Paper. Nov 2021. PDF

Fan Zhou, Liu Yu, Xovee Xu*, and Goce Trajcevski. Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). Short Paper. July 2021. PDF

Xovee Xu. A Research of Information Diffusion Models and Popularity Prediction Using Graph Neural Networks Master Thesis. University of Electronic Science and Technology of China (UESTC). June 2020. Outstanding Master's Thesis of UESTC (105 awarded among 4,929 theses, ~2.13%)

Fan Zhou, Xovee Xu*, Goce Trajcevski, and Kunpeng Zhang. A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances ACM Computing Surveys. Mar 2021. arXiv

2020

Fan Zhou, Zijing Wen, Ting Zhong*, Goce Trajcevski, Xovee Xu, and Leyuan Liu. Unsupervised User Identity Linkage via Graph Neural Networks IEEE Global Communications Conference (GLOBECOM). Dec 2020. PDF

Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang*, Ting Zhong, and Goce Trajcevski. Meta-Learned User Preference for Topic Participation Prediction IEEE Global Communications Conference (GLOBECOM). Dec 2020. PDF

Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, and Jin Wu*. Continual Information Cascade Learning IEEE Global Communications Conference (GLOBECOM). Dec 2020. PDF

Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong*. Variational Information Diffusion for Probabilistic Cascades Prediction IEEE International Conference on Computer Communications (INFOCOM). July 2020. Oral. PDF Code Video INFOCOM 2020 Student Conference Award

Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong*, and Kunpeng Zhang. A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact arXiv:2003.12042, 8 pages. Mar 2020. arXiv Code