Ye Yuan

TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding AAAI 2026 DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search ACL 2026 Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations ACL 2026 Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4 ACL 2026 Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026 Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization ACL 2026 SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models ACL 2026 LLM Safety From Within: Detecting Harmful Content with Internal Representations ACL 2026 Prompt Tuning In a Compact Attribute Space AAAI 2025 Real-Time Neural Denoising with Render-Aware Knowledge Distillation AAAI 2025 AdaHuman: Animatable Detailed 3D Human Generation with Compositional Multiview Diffusion ICCV 2025 GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion ICCV 2025 Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification ACL 2025 GENMO: A GENeralist Model for Human MOtion ICCV 2025 BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation CVPR 2025 SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothing CVPR 2025 MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025 Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling MICCAI 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization ICLR 2025 Harnessing Diversity for Important Data Selection in Pretraining Large Language Models ICLR 2025 COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation ECCV 2024 LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations NIPS 2024 A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization NIPS 2024 Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions CORL 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios CVPR 2024 GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning CVPR 2024 On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024 Learning to Extract Structured Entities Using Language Models EMNLP 2024 Measuring Vision-Language STEM Skills of Neural Models ICLR 2024 Keypoint-based Progressive Chain-of-Thought Distillation for LLMs ICML 2024 An Iterative Min-Min Optimization Method for Sparse Bayesian Learning ICML 2024 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 Measuring Social Norms of Large Language Models NAACL 2024 Importance-aware Co-teaching for Offline Model-based Optimization NIPS 2023 Reusing Pretrained Models by Multi-linear Operators for Efficient Training NIPS 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 2023 TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models EMNLP 2023 BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction NIPS 2023 PhysDiff: Physics-Guided Human Motion Diffusion Model ICCV 2023 Learning Human Dynamics in Autonomous Driving Scenarios ICCV 2023 DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function ACL 2023 TREA: Tree-Structure Reasoning Schema for Conversational Recommendation ACL 2023 Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design ICLR 2022 PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022 Boosting Contrastive Learning with Relation Knowledge Distillation AAAI 2022 A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees L4DC 2022 When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition ECCV 2022 Syntax-Aware Network for Handwritten Mathematical Expression Recognition CVPR 2022 Embodied Scene-aware Human Pose Estimation NIPS 2022 On Almost Sure Convergence Rates of Stochastic Gradient Methods COLT 2022 GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras CVPR 2022 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021 SimPoE: Simulated Character Control for 3D Human Pose Estimation CVPR 2021 Unsupervised Active Learning via Subspace Learning AAAI 2021 AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses AAAI 2021 Temporal Knowledge Consistency for Unsupervised Visual Representation Learning ICCV 2021 AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting ICCV 2021 Dynamics-regulated kinematic policy for egocentric pose estimation NIPS 2021 LRSC: Learning Representations for Subspace Clustering AAAI 2021 Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms IJCAI 2020 Efficient Non-Line-of-Sight Imaging from Transient Sinograms ECCV 2020 DLow: Diversifying Latent Flows for Diverse Human Motion Prediction ECCV 2020 Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery AISTATS 2020 Diverse Trajectory Forecasting with Determinantal Point Processes ICLR 2020 Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training ICML 2020 Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis NIPS 2020 Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020 On Deep Unsupervised Active Learning IJCAI 2020 pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020 Beta R-CNN: Looking into Pedestrian Detection from Another Perspective NIPS 2020 Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020 State-Aware Tracker for Real-Time Video Object Segmentation CVPR 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification WACV 2020 SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines AAAI 2020 ABD-Net: Attentive but Diverse Person Re-Identification ICCV 2019 Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019 Ego-Pose Estimation and Forecasting As Real-Time PD Control ICCV 2019 3D Ego-Pose Estimation via Imitation Learning ECCV 2018 Review Networks for Caption Generation NIPS 2016