Fan Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 172

Top Venues

Publications

Qiang Gao, Xinzhu Zhou, Li Huang, Kunpeng Zhang, Siyuan Liu, Fan Zhou
Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks. Inf. Fusion 110 (2024)
Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou
Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. SIGIR (2024)
Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski
Predicting Human Mobility via Self-Supervised Disentanglement Learning. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou
Shallow Diffusion for Fast Speech Enhancement (Student Abstract). AAAI (2024)
Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). AAAI (2024)
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen
Information Diffusion Prediction via Cascade-Retrieved In-context Learning. SIGIR (2024)
Xuan Li, Chunjing Xiao, Ziliang Feng, Shikang Pang, Wenxin Tai, Fan Zhou
Controlled graph neural networks with denoising diffusion for anomaly detection. Expert Syst. Appl. 237 (Part B) (2024)
Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). AAAI (2024)
Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). AAAI (2024)
Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection. KDD (2024)
Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract). AAAI (2024)
Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. KDD (2024)
Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). AAAI (2024)
Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction. IEEE Trans. Cybern. 54 (1) (2024)
Xovee Xu, Tangjiang Qian, Zhe Xiao, Ni Zhang, Jin Wu, Fan Zhou
PGSL: A probabilistic graph diffusion model for source localization. Expert Syst. Appl. 238 (Part C) (2024)
Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang, Fan Zhou
Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. ICASSP (2024)
Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection. CoRR (2024)
Qiang Gao, Hongzhu Fu, Kunpeng Zhang, Goce Trajcevski, Xu Teng, Fan Zhou
Inferring Real Mobility in Presence of Fake Check-ins Data. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection. CoRR (2024)
Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou
Self-Explainable Next POI Recommendation. SIGIR (2024)
Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou
Analyzing and Mitigating Repetitions in Trip Recommendation. SIGIR (2024)
Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). AAAI (2024)
Pengyu Wang, Xucheng Luo, Wenxin Tai, Kunpeng Zhang, Goce Trajcevsky, Fan Zhou
Score-based Graph Learning for Urban Flow Prediction. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract). AAAI (2024)
Andi Zang, Runsheng Xu, Goce Trajcevski, Fan Zhou
Data Issues in High-Definition Maps Furniture - A Survey. ACM Trans. Spatial Algorithms Syst. 10 (1) (2024)
Fan Zhou, Xiuxiu Qi, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork. NeurIPS (2023)
Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu
When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. Neurocomputing 518 (2023)
Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou
RIPGeo: Robust Street-Level IP Geolocation. MDM (2023)
Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. CIKM (2023)
Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). AAAI (2023)
Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou
Mixup-based Unified Framework to Overcome Gender Bias Resurgence. SIGIR (2023)
Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. IJCAI (2023)
Chunjing Xiao, Shiming Chen, Fan Zhou, Jie Wu
Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition. IEEE Trans. Mob. Comput. 22 (11) (2023)
Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. NeurIPS (2023)
Fan Zhou, Zhiyuan Wang, Dajiang Chen, Kuan Zhang
Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach. IEEE Trans. Ind. Informatics 19 (2) (2023)
Yi He, Wenxin Tai, Fan Zhou, Yi Yang
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). AAAI (2023)
Xovee Xu, Yutao Wei, Pengyu Wang, Xucheng Luo, Fan Zhou, Goce Trajcevski
Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint. ICASSP (2023)
Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao, Jin Wu, Goce Trajcevski
Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 53 (7) (2023)
Leyuan Liu, Junyi Chen, Liu Yu, Fan Zhou
Self-Supervised Rumor Detection with Augmented Variational Graphs. GLOBECOM (2023)
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). AAAI (2023)
Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou
Improving session-based recommendation with contrastive learning. User Model. User Adapt. Interact. 33 (1) (2023)
Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. AAAI (2023)
Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). AAAI (2023)
Qiang Gao, Fan Zhou, Kunpeng Zhang, Fengli Zhang, Goce Trajcevski
Adversarial Human Trajectory Learning for Trip Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. AAAI (2023)
Xovee Xu, Jiayang Li, Fan Zhou
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. CIKM (2023)
Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. EMNLP (2023)
Ruiting Dai, Jiayi Luo, Xucheng Luo, Lisi Mo, Wanlun Ma, Fan Zhou
Multi-modal Representation Learning for Social Post Location Inference. ICC (2023)
Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. CIKM (2023)
Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, Ting Zhong
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. ACL (1) (2023)
Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. IEEE Trans. Big Data 9 (6) (2023)
Xovee Xu, Zhiyuan Wang, Fan Zhou, Ying Huang, Ting Zhong, Goce Trajcevski
Dynamic transformer ODEs for large-scale reservoir inflow forecasting. Knowl. Based Syst. 276 (2023)
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
CCGL: Contrastive Cascade Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Xucheng Luo, Yan Wu, Jin Wu, Fan Zhou
Trajectory-User Linking via Trajectory Convolution. ICC (2023)
Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, Siyuan Liu, Fan Zhou
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Ruiting Dai, Jiayi Luo, Xucheng Luo, Lisi Mo, Wanlun Ma, Fan Zhou
Multi-modal Representation Learning for Social Post Location Inference. CoRR (2023)
Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). AAAI (2023)
Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. KDD (2023)
Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou
Exploring indirect entity relations for knowledge graph enhanced recommender system. Expert Syst. Appl. 213 (Part) (2023)
Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. CIKM (2023)
Fan Zhou, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, Ting Zhong
Semi-Supervised Anomaly Detection Via Neural Process. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. KDD (2023)
Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). AAAI (2023)
Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). AAAI (2023)
Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li
Contextual spatio-temporal graph representation learning for reinforced human mobility mining. Inf. Sci. 606 (2022)
Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou
Learning Latent Seasonal-Trend Representations for Time Series Forecasting. NeurIPS (2022)
Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. AAAI (2022)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). AAAI (2022)
Weifeng Zhang, Ting Zhong, Ce Li, Kunpeng Zhang, Fan Zhou
CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases. INFOCOM (2022)
Yingying Huangfu, Liang Zhou, Fan Zhou
A New Abnormal Node Detection Method With Dynamic Hoeffding Test. IEEE Wirel. Commun. Lett. 11 (8) (2022)
Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks. KDD (2022)
Ping Kuang, Rongfan Li, Ying Huang, Jin Wu, Xucheng Luo, Fan Zhou
Landslide Displacement Prediction via Attentive Graph Neural Network. Remote. Sens. 14 (8) (2022)
Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski
Predicting Human Mobility via Self-supervised Disentanglement Learning. CoRR (2022)
Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski
Contrastive Trajectory Learning for Tour Recommendation. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou
Recommendation via Collaborative Diffusion Generative Model. KSEM (3) (2022)
Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. ICASSP (2022)
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). AAAI (2022)
Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. IJCNN (2022)
Joojo Walker, Fengli Zhang, Fan Zhou, Ting Zhong
Social-trust-aware variational recommendation. Int. J. Intell. Syst. 37 (4) (2022)
Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). AAAI (2022)
Qiang Gao, Xinzhu Zhou, Kunpeng Zhang, Li Huang, Siyuan Liu, Fan Zhou
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs. CoRR (2022)
Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD (2022)
Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
Dynamic Manifold Learning for Land Deformation Forecasting. AAAI (2022)
Fan Zhou, Zhiyuan Wang, Ting Zhong, Goce Trajcevski, Ashfaq A. Khokhar
HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. Int. J. Intell. Syst. 37 (10) (2022)
Joojo Walker, Fengli Zhang, Ting Zhong, Fan Zhou, Edward Yellakuor Baagyere
Variational cold-start resistant recommendation. Inf. Sci. 605 (2022)
Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou
Heterogeneous dynamical academic network for learning scientific impact propagation. Knowl. Based Syst. 238 (2022)
Yujie Li, Yuxuan Yang, Xin Yang, Qiang Gao, Fan Zhou
Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph. CoRR (2022)
Xueqin Chen, Fan Zhou, Goce Trajcevski, Marcello M. Bonsangue
Multi-view learning with distinguishable feature fusion for rumor detection. Knowl. Based Syst. 240 (2022)
Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, Ashfaq A. Khokhar
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks. IEEE Netw. 36 (3) (2022)
Fan Zhou, Tianliang Wang, Ting Zhong, Goce Trajcevski
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. Inf. Fusion 81 (2022)
Fan Zhou, Xin Liu, Ting Zhong, Goce Trajcevski
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. IEEE Trans. Cybern. 52 (8) (2022)
Xueqin Chen, Fengli Zhang, Fan Zhou, Marcello M. Bonsangue
Multi-scale graph capsule with influence attention for information cascades prediction. Int. J. Intell. Syst. 37 (3) (2022)
Andi Zang, Xiaofeng Zhu, Ce Li, Fan Zhou, Goce Trajcevski
Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. MDM (2022)
Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). AAAI (2022)
Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). AAAI (2022)
Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. Knowl. Based Syst. 255 (2022)
Wenxin Tai, Ting Zhong, Yuhua Mo, Fan Zhou
Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. IEEE Signal Process. Lett. 29 (2022)
Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fan Zhou