Liang Bai

16 papers · 2020–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓

🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (83)

⚡ Prolific Year · Productive 🌈 Renaissance Researcher (6) 💎 Century Club · Bronze

Venues

AAAI (9) ACL (2) CVPR (2) COLING (1) ICML (1) JMLR (1)

Top co-authors

Xian Yang (9) Yida Xu (3) Zhihua Wang (3) Shuai Niu (3) Jiye Liang (3) Hongzhan Lin (2) Hangyuan Du (2) Jing Ma (2) Tianyuan Yu (2) Yunya Song (2)

Research topics

Machine Learning (13) Deep Learning (11) Artificial Intelligence (9) Learning Types · Deep Learning (7) Learning Types · Machine Learning (6) Core AI (5) Core Methods (5) Application Areas (4) Architectures (4) Learning Paradigms (4) Healthcare & Medicine (2) Clinical (2) Optimization & Theory (2) Computer Vision (1) Mathematics & Optimization (1)

Keywords

representation learning (5) graph neural network (3) contrastive learning (3) multimodal learning (2) disease diagnosis (2) self-supervised learning (2) domain generalization (2) vision-language model (2) out-of-distribution generalization (2) spectral clustering (2) zero-shot learning (1) medical imaging (1) knowledge distillation (1) catastrophic forgetting (1) medical text (1) information bottleneck (1) prompt learning (1) test-time adaptation (1) cross-modal learning (1) offline reinforcement learning (1)

Papers

Adaptive Evolutionary Fusion for Multi-View Clustering AAAI 2026 Attribute-guided Dynamic Prompt Learning for Graph Neural Networks AAAI 2026 Bridging Domain Invariance and Diversity: A Fine-Grained Risk Bound for Domain Generalization JMLR 2026 CauVQ: Causal Vector Quantization for Graph OOD Generalization AAAI 2026 Controllable Federated Prompt Learning at Test Time CVPR 2026 Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure CVPR 2026 GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026 Medical Vision–Language Pretraining with LLM-Guided Temporal Supervision AAAI 2026 One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow AAAI 2026 Class Semantic Attribute Perception Guided Zero-Shot Learning AAAI 2025 Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models ACL 2025 ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series ACL 2025 Contrastive Learning with the Feature Reconstruction Amplifier AAAI 2023 Improving Deep Embedded Clustering via Learning Cluster-level Representations COLING 2022 A Three-Level Optimization Model for Nonlinearly Separable Clustering AAAI 2020 Sparse Subspace Clustering with Entropy-Norm ICML 2020