AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Pengyang Wang; Yong Ge; Yanjie Fu (ICDM, 2020)

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. - Xiaosa Zhao; Kunpeng Liu 001; Wei Fan 010; Lu Jiang 007; Xiaowei Zhao 004; Minghao Yin; Yanjie Fu (ICDM, 2020)

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. - Wei Fan 010; Kunpeng Liu 001; Rui Xie 002; Hao Liu 026; Hui Xiong 001; Yanjie Fu (ICDM, 2021)

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Ahmad Hariri; Dejing Dou; Yanjie Fu (SDM, 2021)

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. - Jingci Ming; Le Zhang 010; Wei Fan 010; Weijia Zhang 003; Yu Mei; Weicen Ling; Hui Xiong 001 (ICDM, 2022)

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. - Wei Fan 010; Shun Zheng 001; Xiaohan Yi; Wei Cao 007; Yanjie Fu; Jiang Bian 002; Tie-Yan Liu (ICLR, 2022)

Feature and Instance Joint Selection: A Reinforcement Learning Perspective. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Hengshu Zhu; Hui Xiong 001; Yanjie Fu (IJCAI, 2022)

TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. - Yizhi Li; Wei Fan 010; Chao Liu; Chenghua Lin; Jiang Qian (CoRR, 2022)

Graph Soft-Contrastive Learning via Neighborhood Ranking. - Zhiyuan Ning; Pengfei Wang 008; Pengyang Wang; Ziyue Qiao; Wei Fan 010; Denghui Zhang; Yi Du; Yuanchun Zhou (CoRR, 2022)

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. - Dongkun Wang; Wei Fan 010; Pengyang Wang; Pengfei Wang 008; Dongjie Wang; Denghui Zhang; Yanjie Fu (CoRR, 2022)

CFJLNet: Coarse and Fine Feature Joint Learning Network for Bone Age Assessment. - Xiaohua Wang 002; Wei Fan 010; Min Hu; Yuhang Wang; Fuji Ren (IEEE Trans. Instrum. Meas., 2022)

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. - Wei Fan 010; Pengyang Wang; Dongkun Wang; Dongjie Wang; Yuanchun Zhou; Yanjie Fu (AAAI, 2023)

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. - Xuanming Hu; Wei Fan 010; Kun Yi 001; Pengfei Wang 008; Yuanbo Xu; Yanjie Fu; Pengyang Wang (ICDM, 2023)

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Hui He; Liang Hu 004; Pengyang Wang; Ning An 001; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Shoujin Wang; Pengyang Wang; Hui He; Ning An 001; Defu Lian; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Yong Ge; Hui Xiong 001; Yanjie Fu (IEEE Trans. Knowl. Data Eng., 2023)

A primary and secondary feature interactive learning network for bone age assessment. - Min Hu; Yuhang Wang; Xiaohua Wang 002; Wei Fan 010; Jiaoyun Yang; Ning An 001 (Biomed. Signal Process. Control., 2023)

Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization. - Xiaozhuang Song; Xu Liao; Hangting Ye; Yaoyao Xu; Wei Fan 010; Jin Liu; Tianshu Yu 001 (BIBM, 2024)

EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection. - Yifan Zhang; Haolong Xiang; Xuyun Zhang; Xiaolong Xu 001; Wei Fan 010; Qin Zhang 001; Lianyong Qi (ICDM, 2024)

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. - Hangting Ye; Wei Fan 010; Xiaozhuang Song; Shun Zheng 001; He Zhao 001; Dandan Guo; Yi Chang 001 (ICLR, 2024)

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. - Yu Zhang 133; Qi Zhang 020; Zixuan Gong; Yiwei Shi; Yepeng Liu; Duoqian Miao 001; Yang Liu; Ke Liu; Kun Yi 001; Wei Fan 010; Liang Hu 004; Changwei Wang 001 (ICML, 2024)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. - Wei Fan 010; Kun Yi 001; Hangting Ye; Zhiyuan Ning; Qi Zhang 020; Ning An 001 (IJCAI, 2024)

Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. - Xuanming Hu; Wei Fan 010; Haifeng Chen; Pengyang Wang; Yanjie Fu (IJCAI, 2024)

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. - Zhiyuan Ning; Chunlin Tian; Meng Xiao 001; Wei Fan 010; Pengyang Wang; Li Li 064; Pengfei Wang 008; Yuanchun Zhou (IJCAI, 2024)

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Kun Yi 001; Wei Fan 010; Liang Hu 004 (IJCAI, 2024)

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. - Haihua Xu 005; Wei Fan 010; Kun Yi 001; Pengyang Wang (IJCAI, 2024)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting. - Kun Yi 001; Jingru Fei; Qi Zhang 020; Hui He; Shufeng Hao; Defu Lian; Wei Fan 010 (NeurIPS, 2024)

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. - Xuanming Hu; Wei Fan 010; Dongjie Wang; Pengyang Wang; Yong Li 008; Yanjie Fu (SDM, 2024)

Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. - Wei Fan 010; Shun Zheng 001; Pengyang Wang; Rui Xie 002; Jiang Bian 002; Yanjie Fu (CoRR, 2024)

Wills Aligner: A Robust Multi-Subject Brain Representation Learner. - Guangyin Bao; Zixuan Gong; Qi Zhang 020; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming. - Hao Wang 073; Jindong Han; Wei Fan 010; Hao Liu 026 (CoRR, 2024)

Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal. - Weijia Zhang 003; Jindong Han; Hao Liu 026; Wei Fan 010; Hao Wang 073; Hui Xiong 001 (CoRR, 2024)

Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset. - Qi Hao 001; Runchang Liang; Yue Gao 015; Hao Dong 010; Wei Fan 010; Lu Jiang 007; Pengyang Wang (CoRR, 2024)

DEWP: Deep Expansion Learning for Wind Power Forecasting. - Wei Fan 010; Yanjie Fu; Shun Zheng 001; Jiang Bian 002; Yuanchun Zhou; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. - Jingru Fei; Kun Yi 001; Wei Fan 010; Qi Zhang 020; Zhendong Niu (AAAI, 2025)

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining. - Xiaozhuang Song; Yuzhao Tu; Hangting Ye; Wei Fan 010; Qingquan Zhang; Xiaoxue Wang; Tianshu Yu 001 (AAAI, 2025)

DRL: Decomposed Representation Learning for Tabular Anomaly Detection. - Hangting Ye; He Zhao 001; Wei Fan 010; Mingyuan Zhou; Dandan Guo; Yi Chang 001 (ICLR, 2025)

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. - Wei Fan 010; Shun Zheng 001; Pengyang Wang; Rui Xie 002; Kun Yi 001; Qi Zhang 020; Jiang Bian 002; Yanjie Fu (KDD (1), 2025)

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. - Wei Fan 010; Jingru Fei; Dingyu Guo; Kun Yi 001; Xiaozhuang Song; Haolong Xiang; Hangting Ye; Min Li 007 (WWW, 2025)

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. - Wei Fan 010; Jingru Fei; Dingyu Guo; Kun Yi 001; Xiaozhuang Song; Haolong Xiang; Hangting Ye; Min Li 007 (CoRR, 2025)

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems. - Hao Wang 073; Jindong Han; Wei Fan 010; Weijia Zhang 003; Hao Liu 026 (CoRR, 2025)

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives. - Sixun Dong; Wei Fan 010; Teresa Wu; Yanjie Fu (CoRR, 2025)