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2026 顶会论文

作者位次 #5/7ICML 2026Spotlight· Deep Learning / Graph Neural Networks

From Distribution to Geometry: Stable Graph Generalization via Invariant Barycenters

Hangyuan Du · Rong Wang · Weihong Zhang · Lu Bai · Liang Bai · Yu Xie · Wenjian Wang

理论与学习动力学OpenReview

作者位次 #2/4ICML 2026Poster· Applications / Health / Medicine

LLM-Guided Diagnostic Evidence Alignment for Medical Vision–Language Pretraining under Limited Pairing

Huimin Yan · Liang Bai · Xian Yang · Long Chen

社会与人本对齐与偏好多模态OpenReview

作者位次 #2/3ICML 2026Poster· General Machine Learning / Clustering

Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data

Zhuomin Liang · Liang Bai · Xian Yang

OpenReview

作者位次 #2/4CVPR 2026Spotlight· Computer Vision & Pattern Recognition

Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure

Xin Zhang · Liang Bai · Guanchao Wang · Xian Yang

多模态OpenReview 项目页

一作AAAI 2026Poster· Artificial Intelligence

Medical Vision-Language Pretraining with LLM-Guided Temporal Supervision

Liang Bai · Zhi Wang · Huimin Yan · Xian Yang

多模态数据与预训练社会与人本OpenReview

作者位次 #5/6AAAI 2026Poster· Artificial Intelligence

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework

Hangyuan Du · Rong Wang · Lixin Cui · Gaoxia Jiang · Liang Bai · Wenjian Wang

OpenReview

作者位次 #2/3AAAI 2026Poster· Artificial Intelligence

Attribute-guided Dynamic Prompt Learning for Graph Neural Networks

Zhuomin Liang · Liang Bai · Xian Yang

OpenReview

作者位次 #2/4AAAI 2026Poster· Artificial Intelligence

CauVQ: Causal Vector Quantization for Graph OOD Generalization

Weihong Zhang · Liang Bai · Hangyuan Du · Xian Yang

效率与系统理论与学习动力学OpenReview

作者位次 #2/3AAAI 2026Poster· Artificial Intelligence

Adaptive Evolutionary Fusion for Multi-View Clustering

Yunxiao Zhao · Liang Bai · Xian Yang

OpenReview

Liang Bai

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2026 顶会论文

From Distribution to Geometry: Stable Graph Generalization via Invariant Barycenters

LLM-Guided Diagnostic Evidence Alignment for Medical Vision–Language Pretraining under Limited Pairing

Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data

Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure

Medical Vision-Language Pretraining with LLM-Guided Temporal Supervision

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework

Attribute-guided Dynamic Prompt Learning for Graph Neural Networks

CauVQ: Causal Vector Quantization for Graph OOD Generalization

Adaptive Evolutionary Fusion for Multi-View Clustering

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