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Yuhang Liu

29 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (57)
πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (24) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (114)

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)

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