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2026 顶会论文

作者位次 #7/7ICML 2026Poster· Applications / Time Series

Information Geometry Loss for Time Series Forecasting

Jiayu Fang · Xuande Liu · Sangsha Fang · Zhen Tian · Hongwei Ma · Zhiqi Shao · Junbin Gao

OpenReview

作者位次 #7/7ICML 2026Poster· Deep Learning / Sequential Models, Time series

Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations

Dai Shi · Lequan Lin · Andi Han · Luke Thompson · Jose Miguel Hernandez-Lobato · Zhiyong Wang · Junbin Gao

OpenReview

作者位次 #4/5ICML 2026Poster· Deep Learning / Sequential Models, Time series

Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations

Luke Thompson · Dai Shi · Lequan Lin · Junbin Gao · Andi Han

OpenReview

作者位次 #7/8ICML 2026Poster· General Machine Learning / Clustering

Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion

Youqing Wang · Tianxiang Zhao · Mengyuan Xin · Ye Su · Jiapu Wang · Tengfei Liu · Junbin Gao · Jipeng Guo

OpenReview

作者位次 #7/8ICML 2026Poster· Deep Learning / Graph Neural Networks

Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion

Youqing Wang · Jiahao Long · Tianxiang Zhao · Man Cao · Mengyuan Xin · Jiapu Wang · Junbin Gao · Jipeng Guo

可解释性OpenReview

作者位次 #6/7ICML 2026Spotlight· Deep Learning / Graph Neural Networks

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning

Dai Shi · Linhan Luo · Luke Thompson · Lequan Lin · Andi Han · Junbin Gao · Jose Miguel Hernandez-Lobato

效率与系统OpenReview

作者位次 #7/8ICML 2026Poster· Deep Learning / Robustness

Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models

Mingyuan Bai · Wei Huang · Tenghui Li · Andong Wang · Chao Li · Cesar F Caiafa · Junbin Gao · Qibin Zhao

安全多模态效率与系统OpenReview

作者位次 #6/8ICML 2026Poster· General Machine Learning / Everything Else

GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning

Chen Wang · Yongli Hu · Huajie Jiang · Kan Guo · Tengfei Liu · Junbin Gao · Yanfeng Sun · Baocai Yin

对齐与偏好多模态OpenReview

作者位次 #5/5ICML 2026Poster· Deep Learning / Other Representation Learning

Capacity-Agnostic Parameter Isolation for Continual Graph Learning

Ye Xiao · Ruikun Li · Zhenyu Yang · Andrey Vasnev · Junbin Gao

可解释性OpenReview

Junbin Gao

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2026 顶会论文

Information Geometry Loss for Time Series Forecasting

Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations

Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations

Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion

Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning

Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models

GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning

Capacity-Agnostic Parameter Isolation for Continual Graph Learning

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