Publication
2024
Zhangtao Cheng, Jian Lang,Ting Zhong, Fan Zhou
Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation
KDD, 2025
Leyuan Liu, Zhangtao Cheng, Xovee Xu, Fan Zhou
Denoising Propagation Uncertainty for Information Source Localization
GLOBECOM, 2024
Bin Chen, Chunjing Xiao, Fan Zhou
Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning
EMNLP, 2024
Chunjing Xiao, Sikai Zhang, 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, 2024
Zhangtao Cheng, Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Philip S. Yu
Information Cascade Popularity Prediction via Probabilistic Diffusion
TKDE, 2024
Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong and Fan Zhou
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction
KDD, 2024
Jiayang Gu, Xovee Xu, Yulu Tian, Jiadong Huang, Wenliang Zhong, Fan Zhou, and Lianli Gao
RRE: Relevacne Relation Extraction Framework for Cross-Domain Recommender System at Alipay
ICME, 2024
Best Paper Candidate
Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, and Fan Zhou
Self-Explainable Next POI Recommendation
SIGIR Short Paper, 2024
Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, and Fan Zhou
Predicting Micro-Video Popularity via Multi-Modal Retrieval Augmentation
SIGIR Short Paper, 2024
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, and Xueqin Chen
Information Diffusion Prediction via Cascade-Retrieved In-context Learning
SIGIR Short Paper, 2024
Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, and Fan Zhou
Analyzing and Mitigating Repetitions in Trip Recommendation
SIGIR Short Paper, 2024
Xuan Li, Chunjing Xiao, Ziliang Feng, Shikang Zhang, Wenxin Tai, and Fan Zhou
Controlled Graph Neural Networks with Denoising Diffusion for Anomaly Detection
Expert Systems With Application, 2024
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 Application, 2024
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, 2024
Zhenhui Li, Fan Zhou, Zhiyuan Wang, Xovee Xu, Leyuan Liu, and Guangqiang Yin
Measuring and Classifying IP Usage Scenarios: A Continual Neural Trees Approach
Scientific Reports, 2024
Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, and Goce Trajcevski
Predicting Human Mobility via Self-Supervised Disentanglement Learning
IEEE TKDE, 2024
Xin Liu, Yi He, Wenxin Tai, Xovee Xu, Fan Zhou, and Guangchun Luo
Exploring the Chameleon Effect of Interactions in Temporal Knowledge Graph for Event Prediction
Tsinghua Science and Technology, 2024
2023
Haoyang Yu, Xovee Xu, Ting Zhong, and Fan Zhou
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay
AAAI, 2023
Wenxin Tai, Fan Zhou, Goce Trajcevski, and Ting Zhong
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
AAAI, 2023
Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, and Ting Zhong
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
ACL, 2023
Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, and Fan Zhou
Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction
CIKM, 2023
Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, and Fan Zhou
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations
CIKM, 2023, Short Paper
Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, and Fan Zhou
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning
CIKM, 2023, Short Paper
Xovee Xu, Jiayang Li, and Fan Zhou
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns
CIKM 2023, Resource Paper
Abdisalam Badel, Ting Zhong, Wenxin Tai, and Fan Zhou
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources
EMNLP, 2023, Short Paper
Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Kunpeng Zhang, and Fan Zhou
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
IJCAI, 2023
Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, and Fan Zhou
RIPGeo: Robust Street-Level IP Geolocation
MDM, 2023
Best Student Paper Award
Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, and Ting Zhong
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
NeurIPS, 2023
Qiang Gao, Xiaojun Shen, Yuchen Zhang, and Fan Zhou
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
NeurIPS, 2023
Liu Yu, Yuzhou Mao, Jin Wu, and Fan Zhou
Mixup-based Unified Framework to Overcome Gender Bias Resurgence
SIGIR, 2023, Short Paper
Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, and Kai Chen
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation
SIGKDD, 2023
Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, and Fan Zhou
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
SIGKDD, 2023
Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, and Fan Zhou
Exploring Indirect Entity Relations for Knowledge Graph Enhanced Recommender System
Expert Sysetms With Application, 2023
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, 2023
Fan Zhou, Zhiyuan Wang, Dajiang Chen, and Kuan Zhang
Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-based Approach
IEEE Transactions on Industrial Informatics, 2023
Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, and Fan Zhou
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
IEEE TKDE, 2023
Xovee Xu, Fan Zhou, Kunpeng Zhang, and Siyuan Liu
CCGL: Contrastive Cascade Graph Learning
IEEE TKDE, 2023
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, and Goce Trajcevski
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
IEEE TKDE, 2023
Fan Zhou, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, and Ting Zhong
Semi-Supervised Anomaly Detection via Neural Process
IEEE TKDE 2023
Chunjing Xiao, Shiming Chen, Fan Zhou, and Jie Wu
Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition
IEEE Transactions on Mobile Computing, 2023
Qiang Gao, Fan Zhou, Kunpeng Zhang, Fengli Zhang, Goce Trajcevski
Adversarial Human Trajectory Learning for Trip Recommendation
IEEE TNNLS, 2023
Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao, Jin Wu, and Goce Trajcevski.
Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu
When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility
Neurocomputing, 2023
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, 2023
Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, and Fan Zhou
Improving Session-based Recommendation With Contrastive Learning
User Modeling and User-Adapted Interaction, 2023
2022
Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fan Zhou
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AAAI, 2022
Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, and Ting Zhong
Dynamic Manifold Learning for Land Deformation Forecasting
AAAI, 2022
Weifeng Zhang, Ting Zhong, Ce Li, Kunpeng Zhang, and Fan Zhou
CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases
INFOCOM, 2022
Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, and Fan Zhou
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
NeurIPS, 2022
Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, and Fan Zhou
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
SIGKDD, 2022
Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, and Kai Chen
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
SIGKDD, 2022
Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, and Goce Trajcevski
Contrastive Trajectory Learning for Tour Recommendation
ACM Transactions on Intelligent Systems and Technology, 2022
Fan Zhou, Xin Liu, Ting Zhong, and Goce Trajcevski
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning
IEEE Transactions on Cybernetics, 2022
Fan Zhou, Zhiyuan Wang, Dajiang Chen, and Kuan Zhang
Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach
IEEE Transactions on Industrial Informatics, 2022
Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, and Ashfaq Khokhar
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks
IEEE Network, 2022
Fan Zhou, Xiuxiu Qi, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning
IEEE TNNLS, 2022
Fan Zhou, Tianliang Wang, Ting Zhong, and Goce Trajcevski
Identifying User Geolocation With Hierarchical Graph Neural Networks and Explainable Fusion
Information Fusion, 2022
Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li
Contextual Spatio-Temporal Graph Representation Learning for Reinforced Human Mobility Mining
Information Sciences, 2022
Joojo Walker, Fengli Zhang, Ting Zhong, Fan Zhou, Edward Yellakuor Baagyere
Variational Cold-start Resistant Recommendation
Information Sciences, 2022
Fan Zhou, Zhiyuan Wang, Ting Zhong, Goce Trajcevski, and Ashfaq Khokhar
HydroFlow: Towards Probabilistic Electricity Demand Prediction Using Variational Autoregressive Models and Normalizing Flows
International Journal of Intelligent Systems, 2022
Liu Yu, Xovee Xu, Goce Trajcevski, and Fan Zhou
Transformer-Enhanced Hawkes Process With Decoupling Training for Information Cascade Prediction
Knowledge-Based Systems, 2022
Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, and Fan Zhou
Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation
Knowledge-Based Systems, 2022
Xueqin Chen, Fan Zhou, Goce Trajcevski, and Marcello Bonsangue
Multi-view Learning With Distinguishable Feature Fusion for Rumor Detection
Knowledge-Based Systems, 2022
2021
Fan Zhou and Chengtai Cao
Overcoming Catastrophic Forgetting in Graph Neural Networks With Experience Replay
AAAI, 2021
Fan Zhou, Rongfan Li, Goce Trajcevski, and Kunpeng Zhang
Land Deformation Prediction via Slope-Aware Graph Neural Networks
AAAI, 2021
Fan Zhou and Liang Li
Forecasting Reservoir Inflow via Recurrent Neural ODEs
AAAI, 2021
Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, and Yong Wang
Vector-Quantized Autoencoder With Copula for Collaborative Filtering
CIKM, 2021, Short Paper
Fan Zhou, Liu Yu, Xovee Xu, and Goce Trajcevski
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
SIGIR, 2021, Short Paper
Zhenyu He, Ce Li, Fan Zhou, and Yi Yang
Rumor Detection on Social Media with Event Augmentations
SIGIR, 2021, Short Paper
Fan Zhou, Xovee Xu, Goce Trajcevski, and Kunpeng Zhang
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
ACM Computing Surveys, 2021
Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, and Goce Trajcevski
Contrastive Trajectory Learning for Tour Recommendation
ACM TIST, 2021
Fan Zhou, Chengtai Cao, Ting Zhong, and Ji Geng
Learning Meta-Lnowledge for Few-Shot Image Emotion Recognition
Expert Systems with Applications, 2021
Wenxin Tai, Ting Zhong, Yuhua Mo, and Fan Zhou
Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction
IEEE Signal Processing Letters, 2021
Qiang Gao, Fan Zhou, Kunpeng Zhang, Fengli Zhang, and Goce Trajcevski
Adversarial Human Trajectory Learning for Trip Recommendation
IEEE TNNLS, 2021
Xueqin Chen, Fengli Zhang, Fan Zhou, and Marcello Bonsangue
Multi-scale Graph Capsule With Influence Attention for Information Cascades Prediction
International Journal of Intelligent Systems, 2021
Xueqin Chen, Fan Zhou, Fengli Zhang, and Marcello Bonsangue
Modeling Microscopic and Macroscopic Information Diffusion for Rumor Detection
International Journal of Intelligent Systems, 2021
Fan Zhou, Ce Li, Zijing Wen, Ting Zhong, Goce Trajcevski, and Ashfaq Khokhar
Uncertainty-Aware Network Alignment
International Journal of Intelligent Systems, 2021
Xueqin Chen, Fan Zhou, Fengli Zhang, and Marcello Bonsangue
Catch Me If You Can: A participant-level Rumor Detection Framework via Fine-grained User Representation Learning
Information Processing & Management, 2021
Fan Zhou, Kunpeng Zhang, Bangying Wu, Yi Yang, and Harry Jiannan Wang
Unifying Online and Offline Preference for Social Link Prediction
INFORMS Journal on Computing ,2021
Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong
Self-supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification
Knowledge-Based Systems, 2021
Fan Zhou, Liang Li, Kunpeng Zhang, and Goce Trajcevski
Urban Flow Prediction With Spatial–Temporal Neural ODEs
Transportation Research Part C: Emerging Technologies, 2021
2020
Fan Zhou, Shengming Zhang, and Yi Yang
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder
ACL, 2020, Short Paper
Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, and Yi Yang
Interpreting Twitter User Geolocation
ACL, 2020, Short Paper
Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Ji Geng
Fast Network Alignment via Graph Meta-Learning
INFOCOM, 2020
Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong
Variational Information Diffusion for Probabilistic Cascades Prediction
INFOCOM, 2020
Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, and Jiahao Wang
Enhancing Urban Flow Maps via Neural ODEs
IJCAI, 2020
Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, and Qiao Liu
Forecasting the Evolution of Hydropower Generation
SIGKDD, 2020
Fan Zhou, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ashfaq Khokhar
Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting
IEEE Internet of Things Journal, 2020
Fan Zhou, Qing Yang, Ting Zhong, Dajiang Chen, and Ning Zhang
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems
IEEE Transactions on Industrial Informatics, 2020
Fan Zhou, Xin Liu, Kunpeng Zhang, and Goce Trajcevski
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models
IEEE TNNLS, 2020
Fan Zhou, Xiuxiu Qi, Chunjing Xiao, and Jiahao Wang
MetaRisk: Semi-supervised Few-shot Operational Risk Classification in Banking Industry
Information Sciences, 2020
Fan Zhou, Kunpeng Zhang, Shuying Xie, and Xucheng Luo
Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach
INFORMS Journal on Computing, 2020
Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, and Ting Zhong
Recommendation via Collaborative Autoregressive Flows
Neural Networks, 2020
Ting Zhong, Zijing Wen, Fan Zhou, Goce Trajcevski, and Kunpeng Zhang
Session-based Recommendation via Flow-based Deep Generative Networks and Bayesian Inference
Neurocomputing, 2020
Ting Zhong, Shengming Zhang, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, and Jin Wu
Hybrid Graph Convolutional Networks With Multi-head Attention for Location Recommendation
World Wide Web, 2020
2019
Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ji Geng
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
CIKM, 2019, Short Paper
Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Fengli Zhang
Information Diffusion Prediction via Recurrent Cascades Convolution
ICDE, 2019
Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fang Liu
Disentangled Network Alignment with Matching Explainability
INFOCOM, 2019
Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, and Fengli Zhang
Information Cascades Modeling via Deep Multi-Task Learning
SIGIR, 2019, Short Paper
Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, and Fengli Zhang
DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation
SIGSPATIAL, 2019, Short Paper
Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Jin Wu
Adversarial Point-of-Interest Recommendation
The Web Conference, 2019
Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, and Kunpeng Zhang
Context-aware Variational Trajectory Encoding and Human Mobility Inference
The Web Conference, 2019
Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong
Variational Session-based Recommendation Using Normalizing Flows
The Web Conference, 2019
Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fengli Zhang
Predicting Human Mobility via Variational Attention
The Web Conference, 2019
2018
Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, and Ting Zhong
vec2Link: Unifying Heterogeneous Data for Social Link Prediction
CIKM, 2018, Short Paper
Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu, and Ting Zhong
DeepLink: A Deep Learning Approach for User Identity Linkage
INFOCOM, 2018
Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fengli Zhang
Trajectory-User Linking via Variational AutoEncoder
IJCAI, 2018
Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, and Fengli Zhang
Trajectory-based Social Circle Inference
SIGSPATIAL, 2018
2017
Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, and Fengli Zhang
Identifying Human Mobility via Trajectory Embeddings
IJCAI, 2017