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Yuan Cheng

30 papers · 2021–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🌍 Conference Polyglot (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (5)
🐝 Cross-Pollinator (5) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (68) πŸ† Grand Slam ⚑ Prolific Year (6) πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (135) πŸ”₯ Unstoppable (5)

Conferences

AAAI (7) CVPR (4) ICCV (3) ICLR (3) ICML (2) INTERSPEECH (2) NIPS (2) WACV (2) ACL (1) AISTATS (1) EMNLP (1) IJCNLP (1) MIDL (1)

Top co-authors

Yuan Qi (7) Chen Jiang (7) Yingbin Liang (6) Furong Xu (5) Tan Pan (5) Xin Guo (5) Wei Chu (5) Meng Wang (4) Jing Yang (4) Limei Han (3)

Keywords

representation learning (8) model compression (4) medical imaging (3) sample efficiency (2) natural language conversation (2) reinforcement learning (2) conversational recommender system (2) attention mechanism (2) object detection (2) low-rank mdp (2) vision transformer (2) graph neural network (2) self-supervised learning (2) pet imaging (2) large language model (2) embedding learning (2) domain generalization (1) policy optimization (1) feature learning (1) image classification (1)

Papers

Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective AAAI 2026 Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation MIDL 2026 PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography AAAI 2026 Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model AAAI 2026 Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation ICCV 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images ICCV 2025 Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning ICCV 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 Efficient Network Automatic Relevance Determination ICML 2025 ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024 Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 In-context Convergence of Transformers ICML 2024 Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs ICLR 2023 DC-Former: Diverse and Compact Transformer for Person Re-identification AAAI 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NIPS 2023 EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition INTERSPEECH 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023 A Large-Scale Comprehensive Dataset and Copy-Overlap Aware Evaluation Protocol for Segment-Level Video Copy Detection CVPR 2022 Deeply Tensor Compressed Transformers for End-to-End Object Detection AAAI 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NIPS 2022 Width & Depth Pruning for Vision Transformers AAAI 2022 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation WACV 2022 Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation CVPR 2022 Discrimination-Aware Mechanism for Fine-Grained Representation Learning CVPR 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System IJCNLP 2021 AntVoice Neural Speaker Embedding System for FFSVC 2020 INTERSPEECH 2021 S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation WACV 2021