Yuan, Ye

78 publications

TMLR 2026 Offline Model-Based Optimization: Comprehensive Review Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen

ICCV 2025 AdaHuman: Animatable Detailed 3D Human Generation with Compositional Multiview Diffusion Yangyi Huang, Ye Yuan, Xueting Li, Jan Kautz, Umar Iqbal

CVPR 2025 BLADE: Single-View Body Mesh Estimation Through Accurate Depth Estimation Shengze Wang, Jiefeng Li, Tianye Li, Ye Yuan, Henry Fuchs, Koki Nagano, Shalini De Mello, Michael Stengel

ECML-PKDD 2025 Backdoor Attacks on Graph Classification via Data Augmentation and Dynamic Poisoning Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang

CVPRW 2025 Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model Lu Xu, Sijie Zhu, Chunyuan Li, Chia-Wen Kuo, Fan Chen, Xinyao Wang, Guang Chen, Dawei Du, Ye Yuan, Longyin Wen

TMLR 2025 Design Editing for Offline Model-Based Optimization Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

ICLRW 2025 Design Editing for Offline Model-Based Optimization Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

TMLR 2025 Efficient Diffusion Models: A Survey Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

NeurIPS 2025 Fira: Can We Achieve Full-Rank Training of LLMs Under Low-Rank Constraint? Xi Chen, Kaituo Feng, Changsheng Li, Xunhao Lai, Xiangyu Yue, Ye Yuan, Guoren Wang

ICCV 2025 GENMO: A GENeralist Model for Human MOtion Jiefeng Li, Jinkun Cao, Haotian Zhang, Davis Rempe, Jan Kautz, Umar Iqbal, Ye Yuan

NeurIPS 2025 Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity Pengqi Li, Lizhong Ding, Jiarun Fu, ChunhuiZhang, Guoren Wang, Ye Yuan

ICCV 2025 GeoMan: Temporally Consistent Human Geometry Estimation Using Image-to-Video Diffusion Gwanghyun Kim, Xueting Li, Ye Yuan, Koki Nagano, Tianye Li, Jan Kautz, Se Young Chun, Umar Iqbal

NeurIPS 2025 Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Han Han, Ye Yuan, Guoren Wang, Lei Cao

ICLR 2025 Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Qiu Jiantao, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He

ICLR 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization Ye Yuan, Can Chen, Christopher Pal, Xue Liu

AAAI 2025 Prompt Tuning in a Compact Attribute Space Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang

AAAI 2025 Real-Time Neural Denoising with Render-Aware Knowledge Distillation Mengxun Kong, Jie Guo, Chen Wang, Ye Yuan, Yanwen Guo

CVPR 2025 SimAvatar: Simulation-Ready Avatars with Layered Hair and Clothing Xueting Li, Ye Yuan, Shalini De Mello, Gilles Daviet, Jonathan Leaf, Miles Macklin, Jan Kautz, Umar Iqbal

NeurIPS 2025 Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration Junyu Zhang, Lizhong Ding, MinghongZhang, Ye Yuan, Xingcan Li, Pengqi Li, Tihang Xi, Guoren Wang, Changsheng Li

NeurIPS 2025 VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning Qi Wang, Yanrui Yu, Ye Yuan, Rui Mao, Tianfei Zhou

NeurIPS 2024 A Robust Inlier Identification Algorithm for Point Cloud Registration via $\mathbf{\ell_0}$-Minimization Yinuo Jiang, Xiuchuan Tang, Cheng Cheng, Ye Yuan

TMLR 2024 AGG: Amortized Generative 3D Gaussians for Single Image to 3D Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat

JMLR 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods Jun Liu, Ye Yuan

ICML 2024 An Iterative Min-Min Optimization Method for Sparse Bayesian Learning Yasen Wang, Junlin Li, Zuogong Yue, Ye Yuan

ECCV 2024 COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal

ICML 2024 EquiPocket: An E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang

CVPR 2024 GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning Ye Yuan, Xueting Li, Yangyi Huang, Shalini De Mello, Koki Nagano, Jan Kautz, Umar Iqbal

CoRL 2024 Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu

ICML 2024 Keypoint-Based Progressive Chain-of-Thought Distillation for LLMs Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang

NeurIPS 2024 LaKD: Length-Agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang

ICLR 2024 Measuring Vision-Language STEM Skills of Neural Models Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang

CVPR 2024 On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving Kaituo Feng, Changsheng Li, Dongchun Ren, Ye Yuan, Guoren Wang

CVPR 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai

AAAI 2024 Preparing Lessons for Progressive Training on Language Models Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

NeurIPS 2023 BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction Rongqing Li, Changsheng Li, Dongchun Ren, Guangyi Chen, Ye Yuan, Guoren Wang

NeurIPS 2023 Importance-Aware Co-Teaching for Offline Model-Based Optimization Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu

ICCV 2023 Learning Human Dynamics in Autonomous Driving Scenarios Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis

ECML-PKDD 2023 MuSE: A Multi-Scale Emotional Flow Graph Model for Empathetic Dialogue Generation Deji Zhao, Donghong Han, Ye Yuan, Chao Wang, Shuangyong Song

ICML 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields Against Adversarial Perturbations Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin

ICCV 2023 PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz

NeurIPS 2023 Reusing Pretrained Models by Multi-Linear Operators for Efficient Training Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

CVPR 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

L4DC 2022 A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees Milad Farsi, Yinan Li, Ye Yuan, Jun Liu

AAAI 2022 Boosting Contrastive Learning with Relation Knowledge Distillation Kai Zheng, Yuanjiang Wang, Ye Yuan

NeurIPS 2022 Embodied Scene-Aware Human Pose Estimation Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani

CVPR 2022 GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz

COLT 2022 On Almost Sure Convergence Rates of Stochastic Gradient Methods Jun Liu, Ye Yuan

CVPR 2022 Syntax-Aware Network for Handwritten Mathematical Expression Recognition Ye Yuan, Xiao Liu, Wondimu Dikubab, Hui Liu, Zhilong Ji, Zhongqin Wu, Xiang Bai

ICLR 2022 Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani

ECCV 2022 When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai

ICCV 2021 AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris M. Kitani

AAAI 2021 AnchorFace: An Anchor-Based Facial Landmark Detector Across Large Poses Zixuan Xu, Banghuai Li, Ye Yuan, Miao Geng

NeurIPS 2021 Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani

CVPR 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun, Banghuai Li, Shengcai Cai, Ye Yuan, Chi Zhang

AAAI 2021 LRSC: Learning Representations for Subspace Clustering Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang

CVPR 2021 SimPoE: Simulated Character Control for 3D Human Pose Estimation Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason Saragih

ICCV 2021 Temporal Knowledge Consistency for Unsupervised Visual Representation Learning Weixin Feng, Yuanjiang Wang, Lihua Ma, Ye Yuan, Chi Zhang

AAAI 2021 Unsupervised Active Learning via Subspace Learning Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang

NeurIPS 2020 Beta R-CNN: Looking into Pedestrian Detection from Another Perspective Zixuan Xu, Banghuai Li, Ye Yuan, Anhong Dang

WACV 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

ECCV 2020 DLow: Diversifying Latent Flows for Diverse Human Motion Prediction Ye Yuan, Kris Kitani

ICLR 2020 Diverse Trajectory Forecasting with Determinantal Point Processes Ye Yuan, Kris Kitani

ECCV 2020 Efficient Non-Line-of-Sight Imaging from Transient Sinograms Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole

CVPRW 2020 In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang

IJCAI 2020 On Deep Unsupervised Active Learning Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang

NeurIPS 2020 Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis Ye Yuan, Kris Kitani

NeurIPS 2020 Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

ICML 2020 Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

AAAI 2020 SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu

IJCAI 2020 Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen

AISTATS 2020 Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

IJCAI 2020 pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan

IJCAI 2019 Metric Learning on Healthcare Data with Incomplete Modalities Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang

ECCV 2018 3D Ego-Pose Estimation via Imitation Learning Ye Yuan, Kris Kitani

AAAI 2018 Multi-Modal Multi-Task Learning for Automatic Dietary Assessment Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann

WACV 2018 Understanding Convolution for Semantic Segmentation Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell

ICLR 2017 Words or Characters? Fine-Grained Gating for Reading Comprehension Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov

NeurIPS 2016 Review Networks for Caption Generation Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov