2026 顶会论文
5作者位次 #9/9ICML 2026Poster· Applications / Chemistry, Physics, and Earth Sciences
ClimateAR: Multi-Scale Autoregressive Generative Modeling for Climate Forecasting
Yue Yu · Weiqi Chen · Binqing Wu · Dongliang Cui · Wanyi Jiang · Zongjiang Shang · Bo Wu · Liang Sun · Ling Chen
作者位次 #4/4ICML 2026Poster· Applications / Time Series
LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
Binqing Wu · Jian Zhou · Zongjiang Shang · Ling Chen
作者位次 #2/2ICML 2026Poster· General Machine Learning / Representation Learning
Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations
Rong Hu · Ling Chen
作者位次 #8/8ICML 2026Poster· Applications / Time Series
TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations
Zongjiang Shang · Chengxi Jin · Binqing Wu · Dongliang Cui · Yue Yu · Haobang Sun · Chuanlin Xu · Ling Chen
一作ICML 2026Poster· Optimization / Large Scale, Parallel and Distributed
AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
Ling Chen · Houming Wu · Wenjie Yu