Yao, Yuan

101 publications

ICLR 2026 Fair Conformal Classification via Learning Representation-Based Groups Senrong Xu, Yanke Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma

ICLR 2026 FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yu-Feng Li, Xiaoxing Ma

NeurIPS 2025 A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning Zhi Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yu-Feng Li, Xiaoxing Ma

TMLR 2025 Activate and Adapt: A Two-Stage Framework for Open-Set Model Adaptation Xiasi Wang, Jiaqi Lin, Chaoqi Chen, Luyao Tang, Yi Huang, Chengsen Wang, Lei Ye, Yuan Yao

TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong

ICML 2025 Elucidating the Design Space of Language Models for Image Generation Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao

CVPR 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han

CVPR 2025 GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior Zichen Tang, Yuan Yao, Miaomiao Cui, Liefeng Bo, Hongyu Yang

CVPR 2025 LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians Jiamin Wu, Kenkun Liu, Han Gao, Xiaoke Jiang, Yuan Yao, Lei Zhang

CVPR 2025 MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling Yifang Men, Yuan Yao, Miaomiao Cui, Liefeng Bo

JMLR 2025 Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang

ICCV 2025 Perception-as-Control: Fine-Grained Controllable Image Animation with 3D-Aware Motion Representation Yingjie Chen, Yifang Men, Yuan Yao, Miaomiao Cui, Liefeng Bo

NeurIPS 2025 PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement Haitian Zheng, Yuan Yao, Yongsheng Yu, Yuqian Zhou, Jiebo Luo, Zhe Lin

ICLR 2025 Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma

CVPR 2025 RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

IJCAI 2025 Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving Bingzhe Zhou, Hannan Wang, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma

NeurIPS 2025 ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-Time Human Motion Capture Yuan Yao, Shifan Jiang, Yangqing Hou, Chengxu Zuo, Xinrui Chen, Shihui Guo, Yipeng Qin

ICCV 2025 Towards Fine-Grained Interactive Segmentation in Images and Videos Yuan Yao, Qiushi Yang, Miaomiao Cui, Liefeng Bo

ICCV 2025 UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-View Images Jiamin Wu, Kenkun Liu, Xiaoke Jiang, Yuan Yao, Lei Zhang

ICLR 2025 UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen

CVPR 2024 3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images Yifang Men, Hanxi Liu, Yuan Yao, Miaomiao Cui, Xuansong Xie, Zhouhui Lian

NeurIPSW 2024 A Biosafety-Aware Framework for Generative Enzyme Design with Foundation Models Xiaoyi Fu, Tao Han, Yuan Yao, Song Guo

ECCV 2024 AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

NeurIPS 2024 ENAT: Rethinking Spatial-Temporal Interactions in Token-Based Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

CVPR 2024 En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data Yifang Men, Biwen Lei, Yuan Yao, Miaomiao Cui, Zhouhui Lian, Xuansong Xie

AAAI 2024 Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang

IJCAI 2024 Intention Progression with Temporally Extended Goals Yuan Yao, Natasha Alechina, Brian Logan

ICLR 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, Juanzi Li

ECCV 2024 LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang

ICLR 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning Across Languages Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun

ICMLW 2024 Learning Long Timescale in Molecular Dynamics by Nano-GPT Yuan Yao, Wenqi Zeng

ICML 2024 NExT-Chat: An LMM for Chat, Detection and Segmentation Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua

NeurIPS 2024 Neuro-Symbolic Data Generation for Math Reasoning Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma

CPAL 2024 NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li, Yang Cao, Yuan Yao

CVPR 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua

JMLR 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao

ICML 2024 Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao

ICML 2024 Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu

CVPR 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

NeurIPS 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu

ECCV 2024 Towards Open Domain Text-Driven Synthesis of Multi-Person Motions Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitchell K Hill

NeurIPS 2024 UniGAD: Unifying Multi-Level Graph Anomaly Detection Yiqing Lin, Jianheng Tang, Chenyi Zi, H.Vicky Zhao, Yuan Yao, Jia Li

ICCV 2023 An Embarrassingly Simple Backdoor Attack on Self-Supervised Learning Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang

ICCV 2023 Beyond Object Recognition: A New Benchmark Towards Object Concept Learning Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu

AISTATS 2023 Inducing Neural Collapse in Deep Long-Tailed Learning Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan

ICLR 2023 Learning with Logical Constraints but Without Shortcut Satisfaction Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian

IJCAI 2023 Multi-Agent Intention Recognition and Progression Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah

NeurIPS 2023 Neuro-Symbolic Learning Yielding Logical Constraints Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu

ICLR 2023 Softened Symbol Grounding for Neuro-Symbolic Systems Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian

MIDL 2023 Unsupervised Domain Adaptation Through Shape Modeling for Medical Image Segmentation Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan Yuille, Yongyi Lu

NeurIPS 2023 VPGTrans: Transfer Visual Prompt Generator Across LLMs Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua

AAAI 2023 Visually Grounded Commonsense Knowledge Acquisition Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

NeurIPS 2022 A Deep Learning Dataloader with Shared Data Preparation Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong

ECCV 2022 An Invisible Black-Box Backdoor Attack Through Frequency Domain Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang

ECCV 2022 End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye

ECCV 2022 Fine-Grained Scene Graph Generation with Data Transfer Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua

IJCAI 2022 Multi-Agent Intention Progression with Reward Machines Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah

ICML 2022 Private Streaming SCO in $\ell_p$ Geometry with Applications in High Dimensional Online Decision Making Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang

CVPR 2022 Structure-Aware Flow Generation for Human Body Reshaping Jianqiang Ren, Yuan Yao, Biwen Lei, Miaomiao Cui, Xuansong Xie

CVPR 2022 Unpaired Cartoon Image Synthesis via Gated Cycle Mapping Yifang Men, Yuan Yao, Miaomiao Cui, Zhouhui Lian, Xuansong Xie, Xian-Sheng Hua

AAAI 2021 Adversarial Language Games for Advanced Natural Language Intelligence Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

AAAI 2021 Deep Partial Rank Aggregation for Personalized Attributes Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

IJCAI 2021 Multi-Agent Intention Progression with Black-Box Agents Michael Dann, Yuan Yao, Brian Logan, John Thangarajah

JMLR 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou

AAAI 2021 StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

ICCV 2021 Visual Distant Supervision for Scene Graph Generation Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun

CVPR 2020 Boosting Semantic Human Matting with Coarse Annotations Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua

AAAI 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

ICML 2020 DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

CVPR 2020 Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer

JMLR 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective Chao Gao, Yuan Yao, Weizhi Zhu

IJCAI 2020 Intention Progression Under Uncertainty Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah

WACV 2020 Multiview Co-Segmentation for Wide Baseline Images Using Cross-View Supervision Yuan Yao, Hyun Soo Park

NeurIPS 2020 Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong

CVPR 2020 Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye

AAAI 2020 Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

ICCVW 2019 A Graph Based Unsupervised Feature Aggregation for Face Recognition Yu Cheng, Yanfeng Li, Qiankun Liu, Yuan Yao, Venkata Sai Vijay Kumar Pedapudi, Xiaotian Fan, Chi Su, Shengmei Shen

AAAI 2019 An Integral Tag Recommendation Model for Textual Content Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu

CVPR 2019 Attention-Aware Multi-Stroke Style Transfer Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang

IJCAI 2019 Commit Message Generation for Source Code Changes Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu

CVPR 2019 Deep Robust Subjective Visual Property Prediction in Crowdsourcing Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao

ICML 2019 Global Convergence of Block Coordinate Descent in Deep Learning Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

AAAI 2019 Hashtag Recommendation for Photo Sharing Services Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu

ICCV 2019 MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence Yuan Yao, Yasamin Jafarian, Hyun Soo Park

CVPR 2019 Orthogonal Decomposition Network for Pixel-Wise Binary Classification Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye

ICLR 2019 Robust Estimation via Generative Adversarial Networks Chao Gao, Jiyi Liu, Yuan Yao, Weizhi Zhu

WACV 2019 Zero-Shot Learning via Recurrent Knowledge Transfer Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang

NeurIPS 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

AISTATS 2018 A Unified Dynamic Approach to Sparse Model Selection Chendi Huang, Yuan Yao

AISTATS 2018 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction Jinshan Zeng, Ke Ma, Yuan Yao

AAAI 2018 HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

ICML 2018 MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-Shot and Zero-Shot Learning Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang

AAAI 2018 Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

ICML 2016 False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking QianQian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

AAAI 2016 Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions Yuan Yao, Brian Logan, John Thangarajah

NeurIPS 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao

IJCAI 2015 Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu

ECCV 2014 Interestingness Prediction by Robust Learning to Rank Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao

AISTATS 2012 Detecting Network Cliques with Radon Basis Pursuit Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas Guibas

CVPR 2011 Simulating Human Saccadic Scanpaths on Natural Images Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao

COLT 2006 Mercer's Theorem, Feature Maps, and Smoothing Ha Quang Minh, Partha Niyogi, Yuan Yao