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Ye Yuan

77 papers · 2016–2026 · 18 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (18) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Keyword Champion 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (333) ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (75) πŸ”₯ Unstoppable (8)

Conferences

CVPR (13) NIPS (11) AAAI (10) ICCV (9) ICML (5) ICLR (5) ECCV (5) IJCAI (4) EMNLP (3) ACL (3) NAACL (2) CORL (1) COLT (1) AISTATS (1) JMLR (1) L4DC (1) MICCAI (1) WACV (1)

Top co-authors

Guoren Wang (10) Kris Kitani (10) Umar Iqbal (9) Jan Kautz (8) Changsheng Li (7) Ming Zhang (7) Zhengyi Luo (6) Kris M. Kitani (5) Jianhao Shen (5) Yichun Yin (5)

Research topics

Reinforcement Learning (1)

Keywords

knowledge distillation (7) physics simulation (7) reinforcement learning (7) diffusion model (5) representation learning (5) transfer learning (5) autonomous driving (4) language model (4) neural network (3) large language model (3) 3d human pose estimation (3) autonomous vehicle (3) stochastic gradient descent (3) human pose estimation (3) self-supervised learning (3) human motion (3) model compression (3) trajectory prediction (3) transformer architecture (2) motion planning (2)

Papers

Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026
TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding AAAI 2026
Prompt Tuning In a Compact Attribute Space AAAI 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
GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion ICCV 2025
AdaHuman: Animatable Detailed 3D Human Generation with Compositional Multiview Diffusion ICCV 2025
GENMO: A GENeralist Model for Human MOtion ICCV 2025
BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation CVPR 2025
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification ACL 2025
SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothing CVPR 2025
Real-Time Neural Denoising with Render-Aware Knowledge Distillation AAAI 2025
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
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation ECCV 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
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 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
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023
Reusing Pretrained Models by Multi-linear Operators for Efficient Training NIPS 2023
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models EMNLP 2023
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction NIPS 2023
Embodied Scene-aware Human Pose Estimation NIPS 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
On Almost Sure Convergence Rates of Stochastic Gradient Methods COLT 2022
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
GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras CVPR 2022
Boosting Contrastive Learning with Relation Knowledge Distillation AAAI 2022
Syntax-Aware Network for Handwritten Mathematical Expression Recognition CVPR 2022
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 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
Unsupervised Active Learning via Subspace Learning AAAI 2021
SimPoE: Simulated Character Control for 3D Human Pose Estimation CVPR 2021
Diverse Trajectory Forecasting with Determinantal Point Processes ICLR 2020
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction ECCV 2020
Efficient Non-Line-of-Sight Imaging from Transient Sinograms ECCV 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training ICML 2020
On Deep Unsupervised Active Learning IJCAI 2020
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery AISTATS 2020
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms IJCAI 2020
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective NIPS 2020
Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis NIPS 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
State-Aware Tracker for Real-Time Video Object Segmentation CVPR 2020
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020
ABD-Net: Attentive but Diverse Person Re-Identification ICCV 2019
Ego-Pose Estimation and Forecasting As Real-Time PD Control ICCV 2019
Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019
3D Ego-Pose Estimation via Imitation Learning ECCV 2018
Review Networks for Caption Generation NIPS 2016