Continual Information Cascade Learning. - Fan Zhou 002; Xin Jing; Xovee Xu; Ting Zhong; Goce Trajcevski; Jin Wu 002 (GLOBECOM, 2020)

Meta-Learned User Preference for Topic Participation Prediction. - Fan Zhou 002; Xiuxiu Qi; Xovee Xu; Jiahao Wang; Ting Zhong; Goce Trajcevski (GLOBECOM, 2020)

Unsupervised User Identity Linkage via Graph Neural Networks. - Fan Zhou 002; Zijing Wen; Ting Zhong; Goce Trajcevski; Xovee Xu; Leyuan Liu 002 (GLOBECOM, 2020)

Variational Information Diffusion for Probabilistic Cascades Prediction. - Fan Zhou 002; Xovee Xu; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong (INFOCOM, 2020)

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. - Fan Zhou 002; Xovee Xu; Ce Li 003; Goce Trajcevski; Ting Zhong; Kunpeng Zhang 001 (CoRR, 2020)

Vector-Quantized Autoencoder With Copula for Collaborative Filtering. - Guanyu Wang 006; Ting Zhong; Xovee Xu; Kunpeng Zhang 001; Fan Zhou 002; Yong Wang 046 (CIKM, 2021)

HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment. - Fan Zhou 002; Ce Li 003; Xovee Xu; Leyuan Liu 002; Goce Trajcevski (GLOBECOM, 2021)

Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. - Fan Zhou 002; Liu Yu 001; Xovee Xu; Goce Trajcevski (SIGIR, 2021)

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. - Zhiyuan Wang 006; Xovee Xu; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). - Guanyu Wang 006; Xovee Xu; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). - Haoyang Yu 003; Xovee Xu; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). - Liu Yu 001; Xovee Xu; Ting Zhong; Goce Trajcevski; Fan Zhou 002 (AAAI, 2022)

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. - Ting Zhong; Haoyang Yu 003; Rongfan Li; Xovee Xu; Xucheng Luo; Fan Zhou 002 (ICASSP, 2022)

Learning Latent Seasonal-Trend Representations for Time Series Forecasting. - Zhiyuan Wang 006; Xovee Xu; Weifeng Zhang; Goce Trajcevski; Ting Zhong; Fan Zhou 002 (NeurIPS, 2022)

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances. - Fan Zhou 002; Xovee Xu; Goce Trajcevski; Kunpeng Zhang 001 (ACM Comput. Surv., 2022)

Heterogeneous dynamical academic network for learning scientific impact propagation. - Xovee Xu; Ting Zhong; Ce Li 003; Goce Trajcevski; Fan Zhou 002 (Knowl. Based Syst., 2022)

Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. - Liu Yu 001; Xovee Xu; Goce Trajcevski; Fan Zhou 002 (Knowl. Based Syst., 2022)

Contrastive Trajectory Learning for Tour Recommendation. - Fan Zhou 002; Pengyu Wang; Xovee Xu; Wenxin Tai; Goce Trajcevski (ACM Trans. Intell. Syst. Technol., 2022)

Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. - Haoyang Yu 003; Xovee Xu; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). - Zhangtao Cheng; Xovee Xu; Ting Zhong; Fan Zhou 002; Goce Trajcevski (AAAI, 2023)

A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). - Tangjiang Qian; Xovee Xu; Zhe Xiao; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. - Ce Li 003; Rongpei Hong; Xovee Xu; Goce Trajcevski; Fan Zhou 002 (CIKM, 2023)

MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. - Xovee Xu; Jiayang Li; Fan Zhou 002 (CIKM, 2023)

Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint. - Xovee Xu; Yutao Wei; Pengyu Wang; Xucheng Luo; Fan Zhou 002; Goce Trajcevski (ICASSP, 2023)

Dynamic transformer ODEs for large-scale reservoir inflow forecasting. - Xovee Xu; Zhiyuan Wang 006; Fan Zhou 002; Ying Huang; Ting Zhong; Goce Trajcevski (Knowl. Based Syst., 2023)

CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction. - Xovee Xu; Fan Zhou 002; Kunpeng Zhang 001; Siyuan Liu 001; Goce Trajcevski (IEEE Trans. Knowl. Data Eng., 2023)

CCGL: Contrastive Cascade Graph Learning. - Xovee Xu; Fan Zhou 002; Kunpeng Zhang 001; Siyuan Liu 001 (IEEE Trans. Knowl. Data Eng., 2023)

MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. - Xovee Xu; Jiayang Li; Fan Zhou 002 (Zenodo, 2023)

MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. - Xovee Xu; Jiayang Li; Fan Zhou 002 (Zenodo, 2023)

Counterfactual Graph Learning for Anomaly Detection on Attributed Networks. - Chunjing Xiao; Xovee Xu; Yue Lei; Kunpeng Zhang 001; Siyuan Liu 001; Fan Zhou 002 (IEEE Trans. Knowl. Data Eng., 2023)

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. - Xovee Xu; Zhiyuan Wang 006; Qiang Gao 003; Ting Zhong; Bei Hui; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Big Data, 2023)

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). - Wenxue Ye; Shichong Li; Zhangtao Cheng; Xovee Xu; Ting Zhong; Bei Hui; Fan Zhou 002 (AAAI, 2024)

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). - Jienan Zhang; Jie Liu; Zhangtao Cheng; Xovee Xu; Fang Liu; Ting Zhong; Kunpeng Zhang 001 (AAAI, 2024)

Denoising Propagation Uncertainty for Information Source Localization. - Leyuan Liu 002; Zhangtao Cheng; Xovee Xu; Fan Zhou 002 (GLOBECOM, 2024)

RRE: A Relevance Relation Extraction Framework for Cross-domain Recommender System at Alipay. - Jiayang Gu; Xovee Xu; Yulu Tian; Yurun Hu; Jiadong Huang; Wenliang Zhong; Fan Zhou 002; Lianli Gao (ICME, 2024)

Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. - Zhangtao Cheng; Jienan Zhang; Xovee Xu; Goce Trajcevski; Ting Zhong; Fan Zhou 002 (KDD, 2024)

Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference. - Xovee Xu; Ting Zhong; Haoyang Yu 003; Fan Zhou 002; Goce Trajcevski (ACM Trans. Spatial Algorithms Syst., 2024)

Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction. - Xovee Xu; Ting Zhong; Fan Zhou 002; Rongfan Li; Goce Trajcevski; Qinggang Meng (IEEE Trans. Cybern., 2024)

PGSL: A probabilistic graph diffusion model for source localization. - Xovee Xu; Tangjiang Qian; Zhe Xiao; Ni Zhang; Jin Wu 002; Fan Zhou 002 (Expert Syst. Appl., 2024)

Predicting Human Mobility via Self-Supervised Disentanglement Learning. - Qiang Gao 003; Jinyu Hong; Xovee Xu; Ping Kuang; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Knowl. Data Eng., 2024)

Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection. - Chunjing Xiao; Shikang Pang; Xovee Xu; Xuan Li; Goce Trajcevski; Fan Zhou 002 (IEEE Trans. Comput. Soc. Syst., 2024)

Information Cascade Popularity Prediction via Probabilistic Diffusion. - Zhangtao Cheng; Fan Zhou 002; Xovee Xu; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation. - Xovee Xu; Yifan Zhang; Fan Zhou 002; Jingkuan Song (AAAI, 2025)

Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction. - Jiayang Li; Xovee Xu; Yili Li; Ting Zhong; Kunpeng Zhang 001; Fan Zhou 002 (ICASSP, 2025)

Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection. - Jian Lang; Rongpei Hong; Jin Xu; Yili Li; Xovee Xu; Fan Zhou 002 (WWW, 2025)

Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences. - Xinglin Lian; Chengtai Cao; Yan Liu; Xovee Xu; Yu Zheng 006; Fan Zhou 002 (WWW, 2025)

Information diffusion prediction via meta-knowledge learners. - Zhangtao Cheng; Jienan Zhang; Xovee Xu; Wenxin Tai; Fan Zhou 002; Goce Trajcevski; Ting Zhong (Inf. Sci., 2025)

Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection. - Chunjing Xiao; Jiahui Lu; Xovee Xu; Fan Zhou 002; Tianshu Xie; Wei Lu; Lifeng Xu (CoRR, 2025)

Generalizing across non-stationary series via learning dynamic causal factors. - Weifeng Zhang; Yan Liu; Xovee Xu; Fan Zhou 002; Ting Zhong; Kunpeng Zhang 001 (Pattern Recognit., 2026)