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Wei Fan

64 papers · 2009–2026 · 11 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Wei Fan?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Kun Yi, Qi Zhang, Pengyang Wang 21 papers · 2022–2026 · IJCAI, AAAI, ICLR Hide ▲
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion IJCAI 2025 Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining AAAI 2025 RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming IJCAI 2025 Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding AAAI 2025 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NeurIPS 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024 PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024 Background-Mixed Augmentation for Weakly Supervised Change Detection AAAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NeurIPS 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NeurIPS 2023 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022
5 papers whose co-authors appear nowhere else under this name
iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference AAAI 2026 De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks ICML 2025 TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction EMNLP 2022 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification CVPR 2014

Venues · all papers under this name

AAAI (16) IJCAI (10) EMNLP (7) NeurIPS (7) ACL (6) ICML (6) COLING (3) ICLR (3) WACV (3) CVPR (2) NAACL (1)