conftrace_

Haixu Wu

20 papers · 2021–2025 · 4 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+8 more ↓ 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (24) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (19) ⚑ Prolific Year (9) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (20) πŸ—ƒοΈ Keyword Collector (55)

Conferences

ICML (8) NIPS (7) ICLR (4) CVPR (1)

Papers

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries ICML 2025 Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers ICML 2025 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024 RoPINN: Region Optimized Physics-Informed Neural Networks NIPS 2024 DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction NIPS 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling ICML 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries ICML 2024 HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction ICML 2024 Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers ICML 2024 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis ICLR 2023 Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023 Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy ICLR 2022 Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NIPS 2022 Flowformer: Linearizing Transformers with Conservation Flows ICML 2022 Supported Policy Optimization for Offline Reinforcement Learning NIPS 2022 MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions CVPR 2021 Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting NIPS 2021