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ORCIDWei Fan 0010
Person information
- affiliation: University of Oxford, UK
- affiliation (PhD 2023): University of Central Florida, FL, USA
Other persons with the same name
- Wei Fan — disambiguation page
- Wei Fan 0001 — Tencent Medical AI Lab, Palo Alto, CA, USA (and 4 more)
- Wei Fan 0002 — Beijing Institute of Technology, School of Automation, China
- Wei Fan 0003
![[0000-0002-9835-4485]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9835-4485")
— Aalborg University, Department of Electronic Systems, Antennas, Propagation, and Millimeter-wave Systems Section, Denmark - Wei Fan 0004 — Dartmouth College, Department of Computer Science, Hanover, NH, USA (and 2 more)
- Wei Fan 0005 — Fujitsu Research & Development Center, Beijing, China
- Wei Fan 0006 (aka: Wei (David) Fan) — University of North Carolina at Charlotte, Department of Civil and Environmental Engineering, NC, USA (and 1 more)
- Wei Fan 0007 — Huazhong Agricultural University, School of Engineering, Wuhan, China (and 1 more)
- Wei Fan 0008 — Jiangsu University, School of Mechanical Engineering, Zhenjiang, China (and 1 more)
- Wei Fan 0009 — Institute of Technology, Cambridge, MA, USA
- Wei Fan 0011 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
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2020 – today
- 2024
[j4]Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. ACM Trans. Knowl. Discov. Data 18(3): 71:1-71:21 (2024)- [c19]Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang:
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. ICLR 2024 - [c18]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. ICML 2024 - [c17]Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu:
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. IJCAI 2024: 2063-2071 - [c16]Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang:
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. IJCAI 2024: 2487-2495 - [c15]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. IJCAI 2024: 3944-3952 - [c14]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI 2024: 4760-4768 - [c13]Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu:
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. IJCAI 2024: 6550-6558 - [c12]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM 2024: 370-378 - [i21]Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. CoRR abs/2401.00644 (2024) - [i20]Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu:
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR abs/2401.16777 (2024) - [i19]Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu:
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. CoRR abs/2404.11938 (2024) - [i18]Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao:
Wills Aligner: A Robust Multi-Subject Brain Representation Learner. CoRR abs/2404.13282 (2024) - [i17]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR abs/2405.06312 (2024) - [i16]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. CoRR abs/2406.01460 (2024) - [i15]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. CoRR abs/2407.00502 (2024) - [i14]Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang:
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR abs/2407.05364 (2024) - [i13]Hao Wang, Jindong Han, Wei Fan, Hao Liu:
Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming. CoRR abs/2408.14505 (2024) - 2023
- [j3]Min Hu, Yuhang Wang, Xiaohua Wang, Wei Fan, Jiaoyun Yang, Ning An:
A primary and secondary feature interactive learning network for bone age assessment. Biomed. Signal Process. Control. 85: 105083 (2023) - [j2]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. IEEE Trans. Knowl. Data Eng. 35(2): 1624-1636 (2023) - [c11]Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. AAAI 2023: 7522-7529 - [c10]Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang:
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM 2023: 160-169 - [c9]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS 2023 - [c8]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023 - [i12]Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. CoRR abs/2302.14829 (2023) - [i11]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. CoRR abs/2310.02453 (2023) - [i10]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023) - [i9]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR abs/2311.06190 (2023) - 2022
- [j1]Xiaohua Wang, Wei Fan, Min Hu, Yuhang Wang, Fuji Ren:
CFJLNet: Coarse and Fine Feature Joint Learning Network for Bone Age Assessment. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c7]Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong:
Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. ICDM 2022: 348-357 - [c6]Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu:
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. ICLR 2022 - [c5]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI 2022: 2016-2022 - [i8]Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu:
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. CoRR abs/2203.07681 (2022) - [i7]Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian:
TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. CoRR abs/2204.13221 (2022) - [i6]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. CoRR abs/2205.07867 (2022) - [i5]Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou:
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR abs/2209.13964 (2022) - [i4]Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu:
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. CoRR abs/2212.12932 (2022) - 2021
- [c4]Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu:
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. ICDM 2021: 1054-1059 - [c3]Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu:
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM 2021: 342-350 - 2020
- [c2]Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. ICDM 2020: 871-880 - [c1]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM 2020: 1008-1013 - [i3]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR abs/2008.12001 (2020) - [i2]Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. CoRR abs/2009.09230 (2020) - [i1]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR abs/2010.02506 (2020)
Coauthor Index
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