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Fan Zhou 0002
Person information
- affiliation (PhD 2011): University of Electronic Science and Technology of China, Chengdu, China
Other persons with the same name
- Fan Zhou — disambiguation page
- Fan Zhou 0001 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
- Fan Zhou 0003 — University of North Carolina at Chapel Hill, Department of Biostatistics, NC, USA
- Fan Zhou 0004 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, China
- Fan Zhou 0005 — Japan Advanced Institute of Science and Technology, School of Information Science, Ishikawa, Japan
- Fan Zhou 0006 — Université Laval, Québec, Canada
- Fan Zhou 0007 — Zhejiang University, Institute of Advanced Digital Technology and Instrumentation, Embedded System Engineering Research Center, Hangzhou, China (and 1 more)
- Fan Zhou 0008 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Fan Zhou 0009 — Changchun University of Technology, Department of Control Science and Engineering, Changchun, China
- Fan Zhou 0010 — Baidu Research, Bellevue, WA, USA (and 1 more)
- Fan Zhou 0011 — Shenyang Ligong University, School of Information Science and Engineering, Shenzang, China
- Fan Zhou 0012 — Ant Group
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2020 – today
- 2024
- [j65]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): 121533 (2024) - [j64]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): 122028 (2024) - [j63]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: 102468 (2024) - [j62]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): 572-585 (2024) - [j61]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): 12:1-12:25 (2024) - [j60]Pengyu Wang, Xucheng Luo, Wenxin Tai, Kunpeng Zhang, Goce Trajcevski, Fan Zhou:
Score-based Graph Learning for Urban Flow Prediction. ACM Trans. Intell. Syst. Technol. 15(3): 59:1-59:25 (2024) - [j59]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): 2126-2141 (2024) - [j58]Andi Zang, Runsheng Xu, Goce Trajcevski, Fan Zhou:
Data Issues in High-Definition Maps Furniture - A Survey. ACM Trans. Spatial Algorithms Syst. 10(1): 5:1-5:37 (2024) - [c105]Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou:
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). AAAI 2024: 23451-23453 - [c104]Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao:
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). AAAI 2024: 23490-23491 - [c103]Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou:
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract). AAAI 2024: 23514-23515 - [c102]Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou:
Shallow Diffusion for Fast Speech Enhancement (Student Abstract). AAAI 2024: 23556-23558 - [c101]Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou:
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). AAAI 2024: 23610-23612 - [c100]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: 23696-23698 - [c99]Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou:
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). AAAI 2024: 23699-23700 - [c98]Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou:
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract). AAAI 2024: 23701-23702 - [c97]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: 7270-7274 - [c96]Jiayang Gu, Xovee Xu, Yulu Tian, Yurun Hu, Jiadong Huang, Wenliang Zhong, Fan Zhou, Lianli Gao:
RRE: A Relevance Relation Extraction Framework for Cross-domain Recommender System at Alipay. ICME 2024: 1-6 - [c95]Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen:
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator. IJCAI 2024: 5826-5834 - [c94]Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou:
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. KDD 2024: 445-455 - [c93]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: 3518-3526 - [c92]Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou:
Analyzing and Mitigating Repetitions in Trip Recommendation. SIGIR 2024: 2276-2280 - [c91]Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen:
Information Diffusion Prediction via Cascade-Retrieved In-context Learning. SIGIR 2024: 2472-2476 - [c90]Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou:
Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. SIGIR 2024: 2579-2583 - [c89]Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou:
Self-Explainable Next POI Recommendation. SIGIR 2024: 2619-2623 - [i12]Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou:
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection. CoRR abs/2407.02143 (2024) - [i11]Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou:
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection. CoRR abs/2407.13251 (2024) - 2023
- [j57]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): 118984 (2023) - [j56]Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu:
When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. Neurocomputing 518: 174-189 (2023) - [j55]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: 110737 (2023) - [j54]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): 1711-1725 (2023) - [j53]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): 1196-1206 (2023) - [j52]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): 3484-3499 (2023) - [j51]Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu:
CCGL: Contrastive Cascade Graph Learning. IEEE Trans. Knowl. Data Eng. 35(5): 4539-4554 (2023) - [j50]Fan Zhou, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, Ting Zhong:
Semi-Supervised Anomaly Detection Via Neural Process. IEEE Trans. Knowl. Data Eng. 35(10): 10423-10435 (2023) - [j49]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): 10540-10553 (2023) - [j48]Chunjing Xiao, Shiming Chen, Fan Zhou, Jie Wu:
Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition. IEEE Trans. Mob. Comput. 22(11): 6770-6783 (2023) - [j47]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): 1764-1776 (2023) - [j46]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): 8950-8964 (2023) - [j45]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): 4522-4535 (2023) - [j44]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): 1-42 (2023) - [c88]Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. AAAI 2023: 5393-5401 - [c87]Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong:
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. AAAI 2023: 13627-13635 - [c86]Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski:
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). AAAI 2023: 16192-16193 - [c85]Yi He, Wenxin Tai, Fan Zhou, Yi Yang:
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). AAAI 2023: 16226-16227 - [c84]Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang:
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). AAAI 2023: 16230-16231 - [c83]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: 16280-16281 - [c82]Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou:
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). AAAI 2023: 16306-16307 - [c81]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: 16358-16359 - [c80]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: 16382-16383 - [c79]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: 4227-4241 - [c78]Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou:
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. CIKM 2023: 1288-1297 - [c77]Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou:
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. CIKM 2023: 3808-3812 - [c76]Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou:
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. CIKM 2023: 4089-4093 - [c75]Xovee Xu, Jiayang Li, Fan Zhou:
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. CIKM 2023: 5417-5421 - [c74]Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou:
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. EMNLP 2023: 7463-7469 - [c73]Leyuan Liu, Junyi Chen, Liu Yu, Fan Zhou:
Self-Supervised Rumor Detection with Augmented Variational Graphs. GLOBECOM 2023: 363-368 - [c72]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: 1-5 - [c71]Xucheng Luo, Yan Wu, Jin Wu, Fan Zhou:
Trajectory-User Linking via Trajectory Convolution. ICC 2023: 2858-2863 - [c70]Ruiting Dai, Jiayi Luo, Xucheng Luo, Lisi Mo, Wanlun Ma, Fan Zhou:
Multi-modal Representation Learning for Social Post Location Inference. ICC 2023: 6331-6336 - [c69]Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou:
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. IJCAI 2023: 2095-2103 - [c68]Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou:
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. KDD 2023: 2742-2751 - [c67]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: 4862-4871 - [c66]Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou:
RIPGeo: Robust Street-Level IP Geolocation. MDM 2023: 138-147 - [c65]Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou:
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork. NeurIPS 2023 - [c64]Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong:
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. NeurIPS 2023 - [c63]Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou:
Mixup-based Unified Framework to Overcome Gender Bias Resurgence. SIGIR 2023: 1755-1759 - [i10]Ruiting Dai, Jiayi Luo, Xucheng Luo, Lisi Mo, Wanlun Ma, Fan Zhou:
Multi-modal Representation Learning for Social Post Location Inference. CoRR abs/2306.07935 (2023) - 2022
- [j43]Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang:
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances. ACM Comput. Surv. 54(2): 27:1-27:36 (2022) - [j42]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): 2584-2611 (2022) - [j41]Joojo Walker, Fengli Zhang, Fan Zhou, Ting Zhong:
Social-trust-aware variational recommendation. Int. J. Intell. Syst. 37(4): 2774-2802 (2022) - [j40]Fan Zhou, Zhiyuan Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar:
HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. Int. J. Intell. Syst. 37(10): 6833-6856 (2022) - [j39]Fan Zhou, Tianliang Wang, Ting Zhong, Goce Trajcevski:
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. Inf. Fusion 81: 1-13 (2022) - [j38]Joojo Walker, Fengli Zhang, Ting Zhong, Fan Zhou, Edward Yellakuor Baagyere:
Variational cold-start resistant recommendation. Inf. Sci. 605: 267-285 (2022) - [j37]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: 230-249 (2022) - [j36]Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou:
Heterogeneous dynamical academic network for learning scientific impact propagation. Knowl. Based Syst. 238: 107839 (2022) - [j35]Xueqin Chen, Fan Zhou, Goce Trajcevski, Marcello M. Bonsangue:
Multi-view learning with distinguishable feature fusion for rumor detection. Knowl. Based Syst. 240: 108085 (2022) - [j34]Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou:
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. Knowl. Based Syst. 255: 109740 (2022) - [j33]Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar:
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks. IEEE Netw. 36(3): 152-158 (2022) - [j32]Ping Kuang, Rongfan Li, Ying Huang, Jin Wu, Xucheng Luo, Fan Zhou:
Landslide Displacement Prediction via Attentive Graph Neural Network. Remote. Sens. 14(8): 1919 (2022) - [j31]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: 414-418 (2022) - [j30]Fan Zhou, Xin Liu, Ting Zhong, Goce Trajcevski:
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. IEEE Trans. Cybern. 52(8): 8128-8141 (2022) - [j29]Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski:
Contrastive Trajectory Learning for Tour Recommendation. ACM Trans. Intell. Syst. Technol. 13(1): 4:1-4:25 (2022) - [j28]Yingying Huangfu, Liang Zhou, Fan Zhou:
A New Abnormal Node Detection Method With Dynamic Hoeffding Test. IEEE Wirel. Commun. Lett. 11(8): 1595-1599 (2022) - [c62]Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Dynamic Manifold Learning for Land Deformation Forecasting. AAAI 2022: 4725-4733 - [c61]Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou:
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. AAAI 2022: 12200-12207 - [c60]Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou:
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). AAAI 2022: 12927-12928 - [c59]Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
A Probabilistic Framework for Land Deformation Prediction (Student Abstract). AAAI 2022: 13001-13002 - [c58]Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou:
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). AAAI 2022: 13073-13074 - [c57]Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang:
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). AAAI 2022: 13077-13078 - [c56]Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). AAAI 2022: 13101-13102 - [c55]Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou:
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). AAAI 2022: 13103-13104 - [c54]Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou:
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. ICASSP 2022: 3663-3667 - [c53]Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou:
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. IJCNN 2022: 1-8 - [c52]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: 1369-1378 - [c51]Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou:
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD 2022: 936-944 - [c50]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: 4121-4131 - [c49]Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou:
Recommendation via Collaborative Diffusion Generative Model. KSEM (3) 2022: 593-605 - [c48]Andi Zang, Xiaofeng Zhu, Ce Li, Fan Zhou, Goce Trajcevski:
Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. MDM 2022: 54-63 - [c47]Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou:
Learning Latent Seasonal-Trend Representations for Time Series Forecasting. NeurIPS 2022 - [i9]Yujie Li, Yuxuan Yang, Xin Yang, Qiang Gao, Fan Zhou:
Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph. CoRR abs/2204.10085 (2022) - [i8]Qiang Gao, Xinzhu Zhou, Kunpeng Zhang, Li Huang, Siyuan Liu, Fan Zhou:
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs. CoRR abs/2210.15925 (2022) - [i7]Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski:
Predicting Human Mobility via Self-supervised Disentanglement Learning. CoRR abs/2211.09625 (2022) - [i6]Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang:
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. CoRR abs/2212.10888 (2022) - 2021
- [j27]Fan Zhou, Chengtai Cao, Ting Zhong, Ji Geng:
Learning meta-knowledge for few-shot image emotion recognition. Expert Syst. Appl. 168: 114274 (2021) - [j26]Fan Zhou, Ruiyang Yin, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ashfaq Khokhar:
Improving human mobility identification with trajectory augmentation. GeoInformatica 25(3): 453-483 (2021) - [j25]Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue:
Modeling microscopic and macroscopic information diffusion for rumor detection. Int. J. Intell. Syst. 36(10): 5449-5471 (2021) - [j24]Fan Zhou, Ce Li, Zijing Wen, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar:
Uncertainty-aware network alignment. Int. J. Intell. Syst. 36(12): 7895-7924 (2021) - [j23]Fan Zhou, Kunpeng Zhang, Bangying Wu, Yi Yang, Harry Jiannan Wang:
Unifying Online and Offline Preference for Social Link Prediction. INFORMS J. Comput. 33(4): 1400-1418 (2021) - [j22]Chunjing Xiao, Yue Lei, Yongsen Ma, Fan Zhou, Zhiguang Qin:
DeepSeg: Deep-Learning-Based Activity Segmentation Framework for Activity Recognition Using WiFi. IEEE Internet Things J. 8(7): 5669-5681 (2021) - [j21]Xueqin Chen, Fan Zhou, Fengli Zhang, Marcello M. Bonsangue:
Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning. Inf. Process. Manag. 58(5): 102678 (2021) - [j20]Fan Zhou, Xiuxiu Qi, Chunjing Xiao, Jiahao Wang:
MetaRisk: Semi-supervised few-shot operational risk classification in banking industry. Inf. Sci. 552: 1-16 (2021) - [j19]Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, Ting Zhong:
Self-supervised human mobility learning for next location prediction and trajectory classification. Knowl. Based Syst. 228: 107214 (2021) - [j18]Fan Zhou, Qing Yang, Ting Zhong, Dajiang Chen, Ning Zhang:
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems. IEEE Trans. Ind. Informatics 17(4): 2802-2812 (2021) - [j17]Fan Zhou, Xin Liu, Kunpeng Zhang, Goce Trajcevski:
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2401-2414 (2021) - [c46]Fan Zhou, Chengtai Cao:
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay. AAAI 2021: 4714-4722 - [c45]Fan Zhou, Liang Li:
Forecasting Reservoir Inflow via Recurrent Neural ODEs. AAAI 2021: 15025-15032 - [c44]Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang:
Land Deformation Prediction via Slope-Aware Graph Neural Networks. AAAI 2021: 15033-15040 - [c43]Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang:
Vector-Quantized Autoencoder With Copula for Collaborative Filtering. CIKM 2021: 3458-3462 - [c42]Yingying Huangfu, Liang Zhou, Fan Zhou:
Detecting Abnormal Nodes in Cluster-tree Networks via the Likelihood Ratio Test of Packet Losses. GLOBECOM 2021: 1-6 - [c41]Ce Li, Fan Zhou, Xucheng Luo, Goce Trajcevski:
Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction. GLOBECOM 2021: 1-6 - [c40]Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu, Goce Trajcevski:
HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment. GLOBECOM 2021: 1-6 - [c39]Ting Zhong, Zheyang Xu, Fan Zhou:
Probabilistic Graph Neural Networks for Traffic Signal Control. ICASSP 2021: 4085-4089 - [c38]Qing Yang, Ting Zhong, Fan Zhou:
Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network. ICASSP 2021: 7943-7947 - [c37]Fan Zhou, Xin Jing, Liang Li, Ting Zhong:
Inferring High-Resolutional Urban Flow With Internet Of Mobile Things. ICASSP 2021: 7948-7952 - [c36]Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, Shengming Zhang:
Trajectory-User Linking via Graph Neural Network. ICC 2021: 1-6 - [c35]Andi Zang, Xiaofeng Zhu, Yuxiang Guo, Fan Zhou, Goce Trajcevski:
Towards Predicting Vehicular Data Consumption. MDM 2021: 109-114 - [c34]Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski:
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. SIGIR 2021: 1875-1879 - [c33]Zhenyu He, Ce Li, Fan Zhou, Yi Yang:
Rumor Detection on Social Media with Event Augmentations. SIGIR 2021: 2020-2024 - [i5]Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu:
CCGL: Contrastive Cascade Graph Learning. CoRR abs/2107.12576 (2021) - 2020
- [j16]Qiang Gao, Fengli Zhang, Fuming Yao, Ailing Li, Lin Mei, Fan Zhou:
Adversarial Mobility Learning for Human Trajectory Classification. IEEE Access 8: 20563-20576 (2020) - [j15]Ting Zhong, Tianliang Wang, Jiahao Wang, Jin Wu, Fan Zhou:
Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization. IEEE Access 8: 95223-95234 (2020) - [j14]Ting Zhong, Zijing Wen, Fan Zhou, Goce Trajcevski, Kunpeng Zhang:
Session-based recommendation via flow-based deep generative networks and Bayesian inference. Neurocomputing 391: 129-141 (2020) - [j13]Fan Zhou, Kunpeng Zhang, Shuying Xie, Xucheng Luo:
Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach. INFORMS J. Comput. 32(3): 714-729 (2020) - [j12]Fan Zhou, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ashfaq Khokhar:
Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting. IEEE Internet Things J. 7(7): 6414-6428 (2020) - [j11]Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong:
Recommendation via Collaborative Autoregressive Flows. Neural Networks 126: 52-64 (2020) - [j10]Fan Zhou, Hantao Wu, Goce Trajcevski, Ashfaq Khokhar, Kunpeng Zhang:
Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation. ACM Trans. Spatial Algorithms Syst. 6(2): 13:1-13:25 (2020) - [j9]Ting Zhong, Shengming Zhang, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Jin Wu:
Hybrid graph convolutional networks with multi-head attention for location recommendation. World Wide Web 23(6): 3125-3151 (2020) - [c32]Fan Zhou, Shengming Zhang, Yi Yang:
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder. ACL 2020: 846-852 - [c31]Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang:
Interpreting Twitter User Geolocation. ACL 2020: 853-859 - [c30]Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu:
Continual Information Cascade Learning. GLOBECOM 2020: 1-6 - [c29]Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski:
Meta-Learned User Preference for Topic Participation Prediction. GLOBECOM 2020: 1-6 - [c28]Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu:
Unsupervised User Identity Linkage via Graph Neural Networks. GLOBECOM 2020: 1-6 - [c27]Qiang Gao, Fan Zhou, Goce Trajcevski, Fengli Zhang, Xucheng Luo:
Adversity-based Social Circles Inference via Context-Aware Mobility. GLOBECOM 2020: 1-6 - [c26]Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang:
Enhancing Urban Flow Maps via Neural ODEs. IJCAI 2020: 1295-1302 - [c25]Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng:
Fast Network Alignment via Graph Meta-Learning. INFOCOM 2020: 686-695 - [c24]Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong:
Variational Information Diffusion for Probabilistic Cascades Prediction. INFOCOM 2020: 1618-1627 - [c23]Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu:
Forecasting the Evolution of Hydropower Generation. KDD 2020: 2861-2870 - [i4]Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng:
Continual Graph Learning. CoRR abs/2003.09908 (2020) - [i3]Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang:
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. CoRR abs/2003.12042 (2020) - [i2]Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang:
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. CoRR abs/2005.11041 (2020)
2010 – 2019
- 2019
- [j8]Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu:
Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference. IEEE Access 7: 8917-8930 (2019) - [j7]Ting Zhong, Fang Liu, Fan Zhou, Goce Trajcevski, Kunpeng Zhang:
Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. IEEE Access 7: 61934-61948 (2019) - [j6]Xucheng Luo, Minrui Xie, Kunpeng Zhang, Fan Zhou, Ting Zhong:
DeepAttr: Inferring Demographic Attributes via Social Network Embedding. IEEE Access 7: 130270-130282 (2019) - [c22]Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. CIKM 2019: 2357-2360 - [c21]Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. SIGSPATIAL/GIS 2019: 444-447 - [c20]Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang:
Information Diffusion Prediction via Recurrent Cascades Convolution. ICDE 2019: 770-781 - [c19]Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fang Liu:
Disentangled Network Alignment with Matching Explainability. INFOCOM 2019: 1360-1368 - [c18]Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang:
Information Cascades Modeling via Deep Multi-Task Learning. SIGIR 2019: 885-888 - [c17]Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Predicting Human Mobility via Variational Attention. WWW 2019: 2750-2756 - [c16]Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu:
Adversarial Point-of-Interest Recommendation. WWW 2019: 3462-34618 - [c15]Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang:
Context-aware Variational Trajectory Encoding and Human Mobility Inference. WWW 2019: 3469-3475 - [c14]Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong:
Variational Session-based Recommendation Using Normalizing Flows. WWW 2019: 3476-3475 - [i1]Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. CoRR abs/1905.09718 (2019) - 2018
- [c13]Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
vec2Link: Unifying Heterogeneous Data for Social Link Prediction. CIKM 2018: 1843-1846 - [c12]Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Trajectory-based social circle inference. SIGSPATIAL/GIS 2018: 369-378 - [c11]Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Trajectory-User Linking via Variational AutoEncoder. IJCAI 2018: 3212-3218 - [c10]Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu, Ting Zhong:
DeepLink: A Deep Learning Approach for User Identity Linkage. INFOCOM 2018: 1313-1321 - 2017
- [j5]Fan Zhou, Goce Trajcevski, Roberto Tamassia, Besim Avci, Ashfaq Khokhar, Peter Scheuermann:
Bypassing holes in sensor networks: Load-balance vs. latency. Ad Hoc Networks 61: 16-32 (2017) - [j4]Besim Avci, Goce Trajcevski, Roberto Tamassia, Peter Scheuermann, Fan Zhou:
Efficient detection of motion-trend predicates in wireless sensor networks. Comput. Commun. 101: 26-43 (2017) - [c9]Qiang Gao, Fengli Zhang, Rui-Jin Wang, Fan Zhou:
Association Rules Mining with Quantum Computing and Quantum Storage. BigCom 2017: 354-360 - [c8]Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, Fengli Zhang:
Identifying Human Mobility via Trajectory Embeddings. IJCAI 2017: 1689-1695 - 2016
- [c7]Mengjuan Liu, Wei Wang, Fan Zhou, Hao Xue, Zhiguang Qin, Xucheng Luo:
ActiveRec: A Novel Context-Sensitive Ranking Method for Active Movie Recommendation. CBD 2016: 92-97 - [c6]Xucheng Luo, Fan Zhou, Mengjuan Liu, Yajun Liu, Chunjing Xiao:
Efficient multi-account detection on UGC sites. ISCC 2016: 450-455 - 2013
- [j3]Chunjing Xiao, Fan Zhou, Yue Wu:
Predicting audience gender in online content-sharing social networks. J. Assoc. Inf. Sci. Technol. 64(6): 1284-1297 (2013) - 2012
- [j2]Fan Zhou, Goce Trajcevski, Oliviu Ghica, Roberto Tamassia, Peter Scheuermann, Ashfaq A. Khokhar:
Deflection-Aware Tracking-Principal Selection in Active Wireless Sensor Networks. IEEE Trans. Veh. Technol. 61(7): 3240-3254 (2012) - [c5]Fan Zhou, Goce Trajcevski, Besim Avci, Peter Scheuermann:
Sensor synchronization for energy efficient multiple object tracking. ICNSC 2012: 139-144 - [c4]Goce Trajcevski, Besim Avci, Fan Zhou, Roberto Tamassia, Peter Scheuermann, Lauren Miller, Adam Barber:
Motion Trends Detection in Wireless Sensor Networks. MDM 2012: 232-237 - 2011
- [c3]Goce Trajcevski, Fan Zhou, Roberto Tamassia, Besim Avci, Peter Scheuermann, Ashfaq A. Khokhar:
Bypassing Holes in Sensor Networks: Load-Balance vs. Latency. GLOBECOM 2011: 1-5 - [c2]Fan Zhou, Goce Trajcevski, Besim Avci:
Tracking Coverage throughout Epochs with Bounded Uncertainty. NCA 2011: 67-74 - 2010
- [j1]Oliviu Ghica, Goce Trajcevski, Ouri Wolfson, Ugo A. Buy, Peter Scheuermann, Fan Zhou, Dennis Vaccaro:
Trajectory Data Reduction in Wireless Sensor Networks. Int. J. Next Gener. Comput. 1(1) (2010) - [c1]Oliviu Ghica, Goce Trajcevski, Fan Zhou, Roberto Tamassia, Peter Scheuermann:
Selecting tracking principals with epoch awareness. GIS 2010: 222-231
Coauthor Index
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