Wei Fan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Selecting Features

Graph Embedding

Reinforcement Learning

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

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 (2024)
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR (2024)
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. CoRR (2024)
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)
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 (2024)
Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM (2024)
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 (2024)
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) (2024)
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) (2023)
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 (2023)
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)
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)
Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian
TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. CoRR (2022)
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI (2022)
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 (2022)
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. CoRR (2022)