Liang Bai
13 papers · 2020–2026 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (4) ๐ Academic Marathon (5) ๐ Cross-Pollinator (12)
๐
Renaissance Researcher
(8)
๐บ๏ธ
Taxonomy Completionist
(31)
๐
Century Club
(13)
๐๏ธ
Keyword Collector
(70)
โก
Prolific Year
(6)
Conferences
AAAI (9)
ACL (2)
COLING (1)
ICML (1)
Top co-authors
Keywords
representation learning
(4)
graph neural network
(3)
contrastive learning
(3)
self-supervised learning
(2)
spectral clustering
(2)
out-of-distribution generalization
(2)
disease diagnosis
(2)
multimodal learning
(2)
offline reinforcement learning
(1)
knowledge distillation
(1)
zero-shot learning
(1)
ensemble clustering
(1)
cross-modal learning
(1)
prompt learning
(1)
medical imaging
(1)
mutual information
(1)
time series
(1)
information bottleneck
(1)
medical text
(1)
image classification
(1)
Papers
CauVQ: Causal Vector Quantization for Graph OOD Generalization
AAAI 2026
Adaptive Evolutionary Fusion for Multi-View Clustering
AAAI 2026
Medical VisionโLanguage Pretraining with LLM-Guided Temporal Supervision
AAAI 2026
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
AAAI 2026
Attribute-guided Dynamic Prompt Learning for Graph Neural Networks
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
Sparse Subspace Clustering with Entropy-Norm
ICML 2020
A Three-Level Optimization Model for Nonlinearly Separable Clustering
AAAI 2020