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ORCIDFan 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
![[0000-0002-0400-9366]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0400-9366")
— 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
- 2025
[j68]Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang, Kunpeng Zhang:
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. ACM Comput. Surv. 57(2): 37:1-37:38 (2025)- 2024
- [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]Zhangtao Cheng, Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Philip S. Yu:
Information Cascade Popularity Prediction via Probabilistic Diffusion. IEEE Trans. Knowl. Data Eng. 36(12): 8541-8555 (2024) - [j59]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) - [j58]Xovee Xu, Ting Zhong, Haoyang Yu, Fan Zhou, Goce Trajcevski:
Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference. ACM Trans. Spatial Algorithms Syst. 10(4): 1-26 (2024) - [c106]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 - [c105]Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao:
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). AAAI 2024: 23490-23491 - [c104]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 - [c103]Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou:
Shallow Diffusion for Fast Speech Enhancement (Student Abstract). AAAI 2024: 23556-23558 - [c102]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 - [c101]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 - [c100]Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou:
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). AAAI 2024: 23699-23700 - [c99]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 - [c98]Bin Chen, Chunjing Xiao, Fan Zhou:
Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2024: 9274-9284 - [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]