Yuhang Liu
29 papers · 2018–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (7) π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (57)
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Interdisciplinary Bridge
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Prolific Year
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Keyword Collector
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Conferences
CVPR (5)
AAAI (4)
ICLR (4)
ACL (3)
ECCV (3)
EMNLP (3)
ICCV (2)
EACL (1)
ICML (1)
IJCAI (1)
MIDL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
knowledge distillation
(2)
medical imaging
(2)
multimodal large language model
(2)
multimodal learning
(2)
benchmark evaluation
(2)
prompt engineering
(2)
point cloud
(2)
few-shot learning
(2)
variational inference
(2)
continual learning
(2)
visual question answering
(2)
cross-modal alignment
(2)
bayesian inference
(1)
feature extraction
(1)
catastrophic forgetting
(1)
independent component analysis
(1)
domain adaptation
(1)
representation learning
(1)
reinforcement learning
(1)
Papers
LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
AAAI 2026
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
EACL 2026
Clinical Risk-Aware Multi-Level Grading for Coronary Artery Stenosis through Curved Feature Reconstruction
MIDL 2026
CADMate: Generating CAD Assembly Plan with Geometric Chain-of-Thought and Spatial Physical Rewards
ACL 2026
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization
AAAI 2026
DINT Transformer
EMNLP 2025
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving
AAAI 2025
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
CVPR 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
CVPR 2025
Document-level Simplification and Illustration Generation Multimodal Coherence
EMNLP 2025
AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations
ICCV 2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
ICCV 2025
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks
ICLR 2025
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2025
Coreset Selection via Reducible Loss in Continual Learning
ICLR 2025
Empirical Privacy Variance
ICML 2025
Detection-Based Intermediate Supervision for Visual Question Answering
AAAI 2024
Identifiable Latent Polynomial Causal Models through the Lens of Change
ICLR 2024
Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning
ACL 2024
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey
ACL 2024
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
ECCV 2024
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue
EMNLP 2023
Truncated Matrix Power Iteration for Differentiable DAG Learning
NIPS 2022
PointScatter: Point Set Representation for Tubular Structure Extraction
ECCV 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning
CVPR 2022
Declaration-based Prompt Tuning for Visual Question Answering
IJCAI 2022
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection
CVPR 2020
Variational Bayesian Dropout With a Hierarchical Prior
CVPR 2019
Deblurring Natural Image Using Super-Gaussian Fields
ECCV 2018