Selecting tracking principals with epoch awareness. - Oliviu Ghica; Goce Trajcevski; Fan Zhou 002; Roberto Tamassia; Peter Scheuermann (GIS, 2010)

Trajectory Data Reduction in Wireless Sensor Networks. - Oliviu Ghica; Goce Trajcevski; Ouri Wolfson; Ugo A. Buy; Peter Scheuermann; Fan Zhou 002; Dennis Vaccaro (Int. J. Next Gener. Comput., 2010)

Tracking Coverage throughout Epochs with Bounded Uncertainty. - Fan Zhou 002; Goce Trajcevski; Besim Avci (NCA, 2011)

Sensor synchronization for energy efficient multiple object tracking. - Fan Zhou 002; Goce Trajcevski; Besim Avci; Peter Scheuermann (ICNSC, 2012)

Motion Trends Detection in Wireless Sensor Networks. - Goce Trajcevski; Besim Avci; Fan Zhou 002; Roberto Tamassia; Peter Scheuermann; Lauren Miller; Adam Barber (MDM, 2012)

Deflection-Aware Tracking-Principal Selection in Active Wireless Sensor Networks. - Fan Zhou 002; Goce Trajcevski; Oliviu Ghica; Roberto Tamassia; Peter Scheuermann; Ashfaq A. Khokhar (IEEE Trans. Veh. Technol., 2012)

Predicting audience gender in online content-sharing social networks. - Chunjing Xiao; Fan Zhou 002; Yue Wu (J. Assoc. Inf. Sci. Technol., 2013)

ActiveRec: A Novel Context-Sensitive Ranking Method for Active Movie Recommendation. - Mengjuan Liu; Wei Wang; Fan Zhou 002; Hao Xue; Zhiguang Qin; Xucheng Luo (CBD, 2016)

Efficient multi-account detection on UGC sites. - Xucheng Luo; Fan Zhou 002; Mengjuan Liu; Yajun Liu; Chunjing Xiao (ISCC, 2016)

Association Rules Mining with Quantum Computing and Quantum Storage. - Qiang Gao 003; Fengli Zhang; Rui-Jin Wang; Fan Zhou 002 (BigCom, 2017)

Identifying Human Mobility via Trajectory Embeddings. - Qiang Gao 003; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Xucheng Luo; Fengli Zhang (IJCAI, 2017)

Bypassing holes in sensor networks: Load-balance vs. latency. - Fan Zhou 002; Goce Trajcevski; Roberto Tamassia; Besim Avci; Ashfaq Khokhar 001; Peter Scheuermann (Ad Hoc Networks, 2017)

Efficient detection of motion-trend predicates in wireless sensor networks. - Besim Avci; Goce Trajcevski; Roberto Tamassia; Peter Scheuermann; Fan Zhou 002 (Comput. Commun., 2017)

vec2Link: Unifying Heterogeneous Data for Social Link Prediction. - Fan Zhou 002; Bangying Wu; Yi Yang 042; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (CIKM, 2018)

Trajectory-based social circle inference. - Qiang Gao 003; Goce Trajcevski; Fan Zhou 002; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (SIGSPATIAL/GIS, 2018)

Trajectory-User Linking via Variational AutoEncoder. - Fan Zhou 002; Qiang Gao 003; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (IJCAI, 2018)

DeepLink: A Deep Learning Approach for User Identity Linkage. - Fan Zhou 002; Lei Liu; Kunpeng Zhang 001; Goce Trajcevski; Jin Wu 002; Ting Zhong (INFOCOM, 2018)

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. - Fan Zhou 002; Chengtai Cao; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Ji Geng 001 (CIKM, 2019)

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. - Qiang Gao 003; Goce Trajcevski; Fan Zhou 002; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (SIGSPATIAL/GIS, 2019)

Information Diffusion Prediction via Recurrent Cascades Convolution. - Xueqin Chen 002; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Fengli Zhang (ICDE, 2019)

Disentangled Network Alignment with Matching Explainability. - Fan Zhou 002; Zijing Wen; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fang Liu (INFOCOM, 2019)

Information Cascades Modeling via Deep Multi-Task Learning. - Xueqin Chen 002; Kunpeng Zhang 001; Fan Zhou 002; Goce Trajcevski; Ting Zhong; Fengli Zhang (SIGIR, 2019)

Variational Session-based Recommendation Using Normalizing Flows. - Fan Zhou 002; Zijing Wen; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong (WWW, 2019)

Context-aware Variational Trajectory Encoding and Human Mobility Inference. - Fan Zhou 002; Xiaoli Yue; Goce Trajcevski; Ting Zhong; Kunpeng Zhang 001 (WWW, 2019)

Adversarial Point-of-Interest Recommendation. - Fan Zhou 002; Ruiyang Yin; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Jin Wu 002 (WWW, 2019)

Predicting Human Mobility via Variational Attention. - Qiang Gao 003; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (WWW, 2019)

DeepAttr: Inferring Demographic Attributes via Social Network Embedding. - Xucheng Luo; Minrui Xie; Kunpeng Zhang 001; Fan Zhou 002; Ting Zhong (IEEE Access, 2019)

Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. - Ting Zhong; Fang Liu; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001 (IEEE Access, 2019)

Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference. - Fan Zhou 002; Lei Liu; Kunpeng Zhang 001; Goce Trajcevski; Jin Wu 002 (IEEE Access, 2019)

Interpreting Twitter User Geolocation. - Ting Zhong; Tianliang Wang; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Yi Yang 042 (ACL, 2020)

Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder. - Fan Zhou 002; Shengming Zhang; Yi Yang 042 (ACL, 2020)

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)

Adversity-based Social Circles Inference via Context-Aware Mobility. - Qiang Gao 003; Fan Zhou 002; Goce Trajcevski; Fengli Zhang; Xucheng Luo (GLOBECOM, 2020)

Enhancing Urban Flow Maps via Neural ODEs. - Fan Zhou 002; Liang Li; Ting Zhong; Goce Trajcevski; Kunpeng Zhang 001; Jiahao Wang (IJCAI, 2020)

Fast Network Alignment via Graph Meta-Learning. - Fan Zhou 002; Chengtai Cao; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Ji Geng 001 (INFOCOM, 2020)

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

Forecasting the Evolution of Hydropower Generation. - Fan Zhou 002; Liang Li; Kunpeng Zhang 001; Goce Trajcevski; Fuming Yao; Ying Huang; Ting Zhong; Jiahao Wang; Qiao Liu 003 (KDD, 2020)

Adversarial Mobility Learning for Human Trajectory Classification. - Qiang Gao 003; Fengli Zhang; Fuming Yao; Ailing Li; Lin Mei; Fan Zhou 002 (IEEE Access, 2020)

Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization. - Ting Zhong; Tianliang Wang; Jiahao Wang; Jin Wu 002; Fan Zhou 002 (IEEE Access, 2020)

Continual Graph Learning. - Fan Zhou 002; Chengtai Cao; Ting Zhong; Kunpeng Zhang 001; Goce Trajcevski; Ji Geng 001 (CoRR, 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)

Session-based recommendation via flow-based deep generative networks and Bayesian inference. - Ting Zhong; Zijing Wen; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001 (Neurocomputing, 2020)

Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach. - Fan Zhou 002; Kunpeng Zhang 001; Shuying Xie; Xucheng Luo (INFORMS J. Comput., 2020)

Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting. - Fan Zhou 002; Qing Yang 017; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Ashfaq Khokhar 001 (IEEE Internet Things J., 2020)

Recommendation via Collaborative Autoregressive Flows. - Fan Zhou 002; Yuhua Mo; Goce Trajcevski; Kunpeng Zhang 001; Jin Wu 002; Ting Zhong (Neural Networks, 2020)

Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation. - Fan Zhou 002; Hantao Wu; Goce Trajcevski; Ashfaq Khokhar 001; Kunpeng Zhang 001 (ACM Trans. Spatial Algorithms Syst., 2020)

Hybrid graph convolutional networks with multi-head attention for location recommendation. - Ting Zhong; Shengming Zhang; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Jin Wu 002 (World Wide Web, 2020)

Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay. - Fan Zhou 002; Chengtai Cao (AAAI, 2021)

Forecasting Reservoir Inflow via Recurrent Neural ODEs. - Fan Zhou 002; Liang Li (AAAI, 2021)

Land Deformation Prediction via Slope-Aware Graph Neural Networks. - Fan Zhou 002; Rongfan Li; Goce Trajcevski; Kunpeng Zhang 001 (AAAI, 2021)

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)

Detecting Abnormal Nodes in Cluster-tree Networks via the Likelihood Ratio Test of Packet Losses. - Yingying Huangfu; Liang Zhou 003; Fan Zhou 002 (GLOBECOM, 2021)

Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction. - Ce Li 003; Fan Zhou 002; Xucheng Luo; Goce Trajcevski (GLOBECOM, 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)

Inferring High-Resolutional Urban Flow With Internet Of Mobile Things. - Fan Zhou 002; Xin Jing; Liang Li; Ting Zhong (ICASSP, 2021)

Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network. - Qing Yang 017; Ting Zhong; Fan Zhou 002 (ICASSP, 2021)

Probabilistic Graph Neural Networks for Traffic Signal Control. - Ting Zhong; Zheyang Xu; Fan Zhou 002 (ICASSP, 2021)

Trajectory-User Linking via Graph Neural Network. - Fan Zhou 002; Shupei Chen; Jin Wu 002; Chengtai Cao; Shengming Zhang (ICC, 2021)

Towards Predicting Vehicular Data Consumption. - Andi Zang; Xiaofeng Zhu 004; Yuxiang Guo 001; Fan Zhou 002; Goce Trajcevski (MDM, 2021)

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

Rumor Detection on Social Media with Event Augmentations. - Zhenyu He 008; Ce Li 003; Fan Zhou 002; Yi Yang 042 (SIGIR, 2021)

Learning meta-knowledge for few-shot image emotion recognition. - Fan Zhou 002; Chengtai Cao; Ting Zhong; Ji Geng 001 (Expert Syst. Appl., 2021)

Improving human mobility identification with trajectory augmentation. - Fan Zhou 002; Ruiyang Yin; Goce Trajcevski; Kunpeng Zhang 001; Jin Wu 002; Ashfaq Khokhar 001 (GeoInformatica, 2021)

Modeling microscopic and macroscopic information diffusion for rumor detection. - Xueqin Chen 002; Fan Zhou 002; Fengli Zhang; Marcello M. Bonsangue (Int. J. Intell. Syst., 2021)

Uncertainty-aware network alignment. - Fan Zhou 002; Ce Li 003; Zijing Wen; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (Int. J. Intell. Syst., 2021)

Unifying Online and Offline Preference for Social Link Prediction. - Fan Zhou 002; Kunpeng Zhang 001; Bangying Wu; Yi Yang 042; Harry Jiannan Wang (INFORMS J. Comput., 2021)

DeepSeg: Deep-Learning-Based Activity Segmentation Framework for Activity Recognition Using WiFi. - Chunjing Xiao; Yue Lei; Yongsen Ma; Fan Zhou 002; Zhiguang Qin (IEEE Internet Things J., 2021)

Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning. - Xueqin Chen 002; Fan Zhou 002; Fengli Zhang; Marcello M. Bonsangue (Inf. Process. Manag., 2021)

MetaRisk: Semi-supervised few-shot operational risk classification in banking industry. - Fan Zhou 002; Xiuxiu Qi; Chunjing Xiao; Jiahao Wang (Inf. Sci., 2021)

Self-supervised human mobility learning for next location prediction and trajectory classification. - Fan Zhou 002; Yurou Dai; Qiang Gao 003; Pengyu Wang; Ting Zhong (Knowl. Based Syst., 2021)

Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems. - Fan Zhou 002; Qing Yang 017; Ting Zhong; Dajiang Chen; Ning Zhang 007 (IEEE Trans. Ind. Informatics, 2021)

Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models. - Fan Zhou 002; Xin Liu; Kunpeng Zhang 001; Goce Trajcevski (IEEE Trans. Neural Networks Learn. Syst., 2021)

Dynamic Manifold Learning for Land Deformation Forecasting. - Fan Zhou 002; Rongfan Li; Qiang Gao 003; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2022)

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). - Zhangtao Cheng; Ting Zhong; Kunpeng Zhang 001; Joojo Walker; Fan Zhou 002 (AAAI, 2022)

A Probabilistic Framework for Land Deformation Prediction (Student Abstract). - Rongfan Li; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2022)

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)

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). - Zhiyuan Wang 006; Fan Zhou 002; Kunpeng Zhang 001; Yong Wang 046 (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)

Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. - Zhangtao Cheng; Joojo Walker; Ting Zhong; Fan Zhou 002 (IJCNN, 2022)

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases. - Weifeng Zhang; Ting Zhong; Ce Li 003; Kunpeng Zhang 001; Fan Zhou 002 (INFOCOM, 2022)

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. - Rongfan Li; Ting Zhong; Xinke Jiang; Goce Trajcevski; Jin Wu 002; Fan Zhou 002 (KDD, 2022)

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks. - Zhiyuan Wang 006; Fan Zhou 002; Wenxuan Zeng; Goce Trajcevski; Chunjing Xiao; Yong Wang 046; Kai Chen 005 (KDD, 2022)

Recommendation via Collaborative Diffusion Generative Model. - Joojo Walker; Ting Zhong; Fengli Zhang; Qiang Gao 003; Fan Zhou 002 (KSEM (3), 2022)

Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. - Andi Zang; Xiaofeng Zhu 004; Ce Li 003; Fan Zhou 002; Goce Trajcevski (MDM, 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)

Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph. - Yujie Li 007; Yuxuan Yang; Xin Yang 012; Qiang Gao 003; Fan Zhou 002 (CoRR, 2022)

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs. - Qiang Gao 003; Xinzhu Zhou; Kunpeng Zhang 001; Li Huang 002; Siyuan Liu 001; Fan Zhou 002 (CoRR, 2022)

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. - Chengtai Cao; Fan Zhou 002; Yurou Dai; Jianping Wang 001 (CoRR, 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)

Multi-scale graph capsule with influence attention for information cascades prediction. - Xueqin Chen 002; Fengli Zhang; Fan Zhou 002; Marcello M. Bonsangue (Int. J. Intell. Syst., 2022)

Social-trust-aware variational recommendation. - Joojo Walker; Fengli Zhang; Fan Zhou 002; Ting Zhong (Int. J. Intell. Syst., 2022)

HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. - Fan Zhou 002; Zhiyuan Wang 006; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (Int. J. Intell. Syst., 2022)

Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. - Fan Zhou 002; Tianliang Wang; Ting Zhong; Goce Trajcevski (Inf. Fusion, 2022)

Contextual spatio-temporal graph representation learning for reinforced human mobility mining. - Qiang Gao 003; Fan Zhou 002; Ting Zhong; Goce Trajcevski; Xin Yang 012; Tianrui Li 001 (Inf. Sci., 2022)

Variational cold-start resistant recommendation. - Joojo Walker; Fengli Zhang; Ting Zhong; Fan Zhou 002; Edward Yellakuor Baagyere (Inf. Sci., 2022)

Multi-view learning with distinguishable feature fusion for rumor detection. - Xueqin Chen 002; Fan Zhou 002; Goce Trajcevski; Marcello M. Bonsangue (Knowl. Based Syst., 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)

Identifying IP Usage Scenarios: Problems, Data, and Benchmarks. - Fan Zhou 002; Weifeng Zhang; Yong Wang 046; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (IEEE Netw., 2022)

Landslide Displacement Prediction via Attentive Graph Neural Network. - Ping Kuang; Rongfan Li; Ying Huang; Jin Wu 002; Xucheng Luo; Fan Zhou 002 (Remote. Sens., 2022)

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. - Wenxin Tai; Ting Zhong; Yuhua Mo; Fan Zhou 002 (IEEE Signal Process. Lett., 2022)

MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. - Fan Zhou 002; Xin Liu; Ting Zhong; Goce Trajcevski (IEEE Trans. Cybern., 2022)

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

A New Abnormal Node Detection Method With Dynamic Hoeffding Test. - Yingying Huangfu; Liang Zhou 003; Fan Zhou 002 (IEEE Wirel. Commun. Lett., 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)

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). - Yi He; Wenxin Tai; Fan Zhou 002; Yi Yang 042 (AAAI, 2023)

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). - Jinyu Hong; Fan Zhou 002; Qiang Gao 003; Ping Kuang; Kunpeng Zhang 001 (AAAI, 2023)

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). - Yuzhou Mao; Liu Yu 001; Yi Yang 042; Fan Zhou 002; Ting Zhong (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)

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. - Wenxin Tai; Fan Zhou 002; Goce Trajcevski; Ting Zhong (AAAI, 2023)

Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). - Zhiyuan Wang 006; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2023)

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). - Weifeng Zhang; Zhiyuan Wang 006; Kunpeng Zhang 001; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. - Fan Zhou 002; Yuzhou Mao; Liu Yu 001; Yi Yang 042; Ting Zhong (ACL (1), 2023)

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

Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. - Zhangtao Cheng; Wenxue Ye; Leyuan Liu 002; Wenxin Tai; Fan Zhou 002 (CIKM, 2023)

Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. - Leyuan Liu 002; Junyi Chen; Zhangtao Cheng; Wenxin Tai; Fan Zhou 002 (CIKM, 2023)

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

Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. - Abdisalam Badel; Ting Zhong; Wenxin Tai; Fan Zhou 002 (EMNLP, 2023)

Self-Supervised Rumor Detection with Augmented Variational Graphs. - Leyuan Liu 002; Junyi Chen; Liu Yu 001; Fan Zhou 002 (GLOBECOM, 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)

Multi-modal Representation Learning for Social Post Location Inference. - Ruiting Dai; Jiayi Luo; Xucheng Luo; Lisi Mo; Wanlun Ma; Fan Zhou 002 (ICC, 2023)

Trajectory-User Linking via Trajectory Convolution. - Xucheng Luo; Yan Wu; Jin Wu 002; Fan Zhou 002 (ICC, 2023)

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. - Qiang Gao 003; Xiaohan Wang; Chaoran Liu; Goce Trajcevski; Li Huang 002; Fan Zhou 002 (IJCAI, 2023)

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. - Wenxin Tai; Bin Chen; Fan Zhou 002; Ting Zhong; Goce Trajcevski; Yong Wang 046; Kai Chen 005 (KDD, 2023)

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. - Chunjing Xiao; Zehua Gou; Wenxin Tai; Kunpeng Zhang 001; Fan Zhou 002 (KDD, 2023)

RIPGeo: Robust Street-Level IP Geolocation. - Wenxin Tai; Bin Chen; Ting Zhong; Yong Wang 046; Kai Chen 005; Fan Zhou 002 (MDM, 2023)

Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork. - Qiang Gao 003; Xiaojun Shan; Yuchen Zhang; Fan Zhou 002 (NeurIPS, 2023)

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. - Wenxin Tai; Yue Lei; Fan Zhou 002; Goce Trajcevski; Ting Zhong (NeurIPS, 2023)

Mixup-based Unified Framework to Overcome Gender Bias Resurgence. - Liu Yu 001; Yuzhou Mao; Jin Wu 002; Fan Zhou 002 (SIGIR, 2023)

Exploring indirect entity relations for knowledge graph enhanced recommender system. - Zhonghai He; Bei Hui; Shengming Zhang; Chunjing Xiao; Ting Zhong; Fan Zhou 002 (Expert Syst. Appl., 2023)

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. - Qiang Gao 003; Fan Zhou 002; Xin Yang 012; Guisong Liu (Neurocomputing, 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)

Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach. - Fan Zhou 002; Zhiyuan Wang 006; Dajiang Chen; Kuan Zhang 001 (IEEE Trans. Ind. Informatics, 2023)

Improving session-based recommendation with contrastive learning. - Wenxin Tai; Tian Lan 005; Zufeng Wu; Pengyu Wang; Yixiang Wang; Fan Zhou 002 (User Model. User Adapt. Interact., 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)

Adversarial Human Trajectory Learning for Trip Recommendation. - Qiang Gao 003; Fan Zhou 002; Kunpeng Zhang 001; Fengli Zhang; Goce Trajcevski (IEEE Trans. Neural Networks Learn. Syst., 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)

Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems. - Fan Zhou 002; Tangjiang Qian; Yuhua Mo; Zhangtao Cheng; Chunjing Xiao; Jin Wu 002; Goce Trajcevski (IEEE Trans. Syst. Man Cybern. Syst., 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)

Semi-Supervised Anomaly Detection Via Neural Process. - Fan Zhou 002; Guanyu Wang 006; Kunpeng Zhang 001; Siyuan Liu 001; Ting Zhong (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition. - Chunjing Xiao; Shiming Chen; Fan Zhou 002; Jie Wu 001 (IEEE Trans. Mob. Comput., 2023)

MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning. - Fan Zhou 002; Xiuxiu Qi; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong (IEEE Trans. Neural Networks Learn. Syst., 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)

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). - Bin Chen; Kai Yang; Wenxin Tai; Zhangtao Cheng; Leyuan Liu 002; Ting Zhong; Fan Zhou 002 (AAAI, 2024)

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). - Hongzhu Fu; Fan Zhou 002; Qing Guo; Qiang Gao 003 (AAAI, 2024)

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract). - Jinyu Hong; Ping Kuang; Qiang Gao 003; Fan Zhou 002 (AAAI, 2024)

Shallow Diffusion for Fast Speech Enhancement (Student Abstract). - Yue Lei; Bin Chen; Wenxin Tai; Ting Zhong; Fan Zhou 002 (AAAI, 2024)

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). - Shikang Pang; Chunjing Xiao; Wenxin Tai; Zhangtao Cheng; Fan Zhou 002 (AAAI, 2024)

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)

Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract). - Liu Yu 001; Ludie Guo; Ping Kuang; Fan Zhou 002 (AAAI, 2024)

Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). - Liu Yu 001; Fenghui Tian; Ping Kuang; Fan Zhou 002 (AAAI, 2024)

Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning. - Bin Chen; Chunjing Xiao; Fan Zhou 002 (EMNLP (Findings), 2024)

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

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. - Kai Yang; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 046; Fan Zhou 002 (ICASSP, 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)

Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator. - Qiang Gao 003; Xiaolong Song; Li Huang 002; Goce Trajcevski; Fan Zhou 002; Xueqin Chen 002 (IJCAI, 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)

Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection. - Chunjing Xiao; Shikang Pang; Wenxin Tai; Yanlong Huang; Goce Trajcevski; Fan Zhou 002 (KDD, 2024)

Analyzing and Mitigating Repetitions in Trip Recommendation. - Wenzheng Shu; Kangqi Xu; Wenxin Tai; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

Self-Explainable Next POI Recommendation. - Kai Yang; Yi Yang 042; Qiang Gao 003; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. - Ting Zhong; Jian Lang; Yifan Zhang; Zhangtao Cheng; Kunpeng Zhang 001; Fan Zhou 002 (SIGIR, 2024)

Information Diffusion Prediction via Cascade-Retrieved In-context Learning. - Ting Zhong; Jienan Zhang; Zhangtao Cheng; Fan Zhou 002; Xueqin Chen 002 (SIGIR, 2024)

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks. - Qiang Gao 003; Xinzhu Zhou; Li Huang 002; Kunpeng Zhang 001; Siyuan Liu 001; Fan Zhou 002 (Inf. Fusion, 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)

Inferring Real Mobility in Presence of Fake Check-ins Data. - Qiang Gao 003; Hongzhu Fu; Kunpeng Zhang 001; Goce Trajcevski; Xu Teng; Fan Zhou 002 (ACM Trans. Intell. Syst. Technol., 2024)

Controlled graph neural networks with denoising diffusion for anomaly detection. - Xuan Li; Chunjing Xiao; Ziliang Feng; Shikang Pang; Wenxin Tai; Fan Zhou 002 (Expert Syst. Appl., 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)

Data Issues in High-Definition Maps Furniture - A Survey. - Andi Zang; Runsheng Xu; Goce Trajcevski; Fan Zhou 002 (ACM Trans. Spatial Algorithms Syst., 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)

Score-based Graph Learning for Urban Flow Prediction. - Pengyu Wang; Xucheng Luo; Wenxin Tai; Kunpeng Zhang 001; Goce Trajcevski; Fan Zhou 002 (ACM Trans. Intell. Syst. Technol., 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)

In-context Prompt-augmented Micro-video Popularity Prediction. - Zhangtao Cheng; Jiao Li; Jian Lang; Ting Zhong; Fan Zhou 002 (AAAI, 2025)

Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. - Jian Lang; Zhangtao Cheng; Ting Zhong; Fan Zhou 002 (AAAI, 2025)

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

You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives. - Junyi Chen; Leyuan Liu 002; Tian Lan 005; Fan Zhou 002; Xiaosong Zhang (COLING, 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)

Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences. - Liu Yu 001; Ludie Guo; Ping Kuang; Fan Zhou 002 (ICASSP, 2025)

Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation. - Zhangtao Cheng; Jian Lang; Ting Zhong; Fan Zhou 002 (KDD (1), 2025)

Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction. - Wei Chen; Jiao Li; Jian Lang; Zhangtao Cheng; Yong Wang 046; Fan Zhou 002 (SIGIR, 2025)

Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning. - Rongpei Hong; Jian Lang; Jin Xu; Zhangtao Cheng; Ting Zhong; Fan Zhou 002 (WWW, 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)

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. - Wenzheng Shu; Yanxiang Zeng; Yongxiang Tang; Teng Sha; Ning Luo; Yanhua Cheng; Xialong Liu; Fan Zhou 002; Peng Jiang 002 (WWW (Companion Volume), 2025)

Mapping the unseen: Robust IP geolocation through the lens of uncertainty quantification. - Xueting Liu 005; Xiaohan Wang; Chao Li 053; Joojo Walker; Wenxin Tai; Ting Zhong; Yong Wang 046; Fan Zhou 002; Kai Chen 005 (Comput. Networks, 2025)

Do not wait: Preemptive rumor detection with cooperative LLMs and accessible social context. - Junyi Chen; Leyuan Liu 002; Fan Zhou 002 (Inf. Process. Manag., 2025)

Augmented graph information bottleneck with type-aware periodicity heterogeneity for explainable crime prediction. - Hongzhu Fu; Yutao Wei; Gege Chen; Xing He; Qiang Gao 003; Fan Zhou 002 (Inf. Process. Manag., 2025)

Extracting key insights from earnings call transcript via information-theoretic contrastive learning. - Yanlong Huang; Wenxin Tai; Fan Zhou 002; Qiang Gao 003; Ting Zhong; Kunpeng Zhang 001 (Inf. Process. Manag., 2025)

Amplifying commonsense knowledge via bi-directional relation integrated graph-based contrastive pre-training from large language models. - Liu Yu 001; Fenghui Tian; Ping Kuang; Fan Zhou 002 (Inf. Process. Manag., 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)

Secure and cancelable fingerprint templates with privacy-preserving mapping and template encoding. - Md Sabuj Khan; Ting Zhong; Fan Zhou 002; Hengjian Li (J. Inf. Secur. Appl., 2025)

Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model. - Qiang Gao 003; Chaoran Liu; Li Huang 002; Goce Trajcevski; Qing Guo; Fan Zhou 002 (Knowl. Based Syst., 2025)

Progressive Skip Connection Improves Consistency of Diffusion-Based Speech Enhancement. - Yue Lei; Xucheng Luo; Wenxin Tai; Fan Zhou 002 (IEEE Signal Process. Lett., 2025)

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. - Chengtai Cao; Fan Zhou 002; Yurou Dai; Jianping Wang 001; Kunpeng Zhang 001 (ACM Comput. Surv., 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)

Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. - Zhangtao Cheng; Yang Liu 245; Ting Zhong; Kunpeng Zhang 001; Fan Zhou 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

MoCoPCI: Inter-frame motion correlation guided efficient 3D point cloud interpolation. - Pengfei Yang; Feng Wu; Minyang Liu; Ting Zhong; Fan Zhou 002 (Pattern Recognit., 2026)

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)