Li, Yuan

43 publications

ICML 2025 Adapting Precomputed Features for Efficient Graph Condensation Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He

CVPR 2025 CADDreamer: CAD Object Generation from Single-View Images Yuan Li, Cheng Lin, Yuan Liu, Xiaoxiao Long, Chenxu Zhang, Ningna Wang, Xin Li, Wenping Wang, Xiaohu Guo

ICLR 2025 CityAnchor: City-Scale 3D Visual Grounding with Multi-Modality LLMs Jinpeng Li, Haiping Wang, Jiabin Chen, Yuan Liu, Zhiyang Dou, Yuexin Ma, Sibei Yang, Yuan Li, Wenping Wang, Zhen Dong, Bisheng Yang

ICML 2025 Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Yuan Li, Zhengzhong Liu, Eric Xing

AAAI 2025 Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu

ICML 2025 EgoPrivacy: What Your First-Person Camera Says About You? Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos

CVPR 2025 IM-Portrait: Learning 3D-Aware Video Diffusion for Photorealistic Talking Heads from Monocular VideosC Yuan Li, Ziqian Bai, Feitong Tan, Zhaopeng Cui, Sean Fanello, Yinda Zhang

NeurIPS 2025 Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Nilabjo Dey, Yonghao Zhuang, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Taylor W. Killian, Haonan Li, Mikhail Yurochkin, Eric P. Xing, Zhengzhong Liu, Zhiting Hu

AAAI 2025 SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image Peng Zhang, Yuan Li, Haotian Song, Yankai Jiang, Yubo Tao, Hai Lin, Hongguang Cui

ICCV 2025 VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu

AAAI 2024 DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving Ke Hu, Tongbo Cao, Yuan Li, Song Chen, Yi Kang

CVPR 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian

CVPR 2024 GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image Chong Bao, Yinda Zhang, Yuan Li, Xiyu Zhang, Bangbang Yang, Hujun Bao, Marc Pollefeys, Guofeng Zhang, Zhaopeng Cui

NeurIPSW 2024 I Think, Therefore I Am: Benchmarking Awareness of Large Language Models Using AwareBench Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun

ICLR 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun

NeurIPS 2024 Neural Gaffer: Relighting Any Object via Diffusion Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi, Kai Zhang, Zexiang Xu, Jin Sun, Noah Snavely

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

CVPR 2024 SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction Yuan Li, Zhihao Liu, Bedrich Benes, Xiaopeng Zhang, Jianwei Guo

ICCV 2023 ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field Yuan Li, Zhi-Hao Lin, David Forsyth, Jia-Bin Huang, Shenlong Wang

NeurIPS 2022 A Unified Diversity Measure for Multiagent Reinforcement Learning Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li

NeurIPS 2022 Heterogeneous Skill Learning for Multi-Agent Tasks Yuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu

IJCAI 2022 SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin

AAAI 2022 TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu

AAAI 2021 Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan

ICCV 2021 Stacked Homography Transformations for Multi-View Pedestrian Detection Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan

NeurIPS 2020 AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing

AAAI 2020 Complementary Auxiliary Classifiers for Label-Conditional Text Generation Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao

ICLR 2020 Fast Neural Network Adaptation via Parameter Remapping and Architecture Search Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang

ICLR 2020 FasterSeg: Searching for Faster Real-Time Semantic Segmentation Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

ICML 2019 Exploiting Worker Correlation for Label Aggregation in Crowdsourcing Yuan Li, Benjamin Rubinstein, Trevor Cohn

CVPRW 2019 Joint Learning of Neural Networks via Iterative Reweighted Least Squares Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li

ICCVW 2019 The iMaterialist Fashion Attribute Dataset Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie

NeurIPS 2018 Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P Xing

ICCV 2017 Automatic Spatially-Aware Fashion Concept Discovery Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis

ICCVW 2017 Learning Unified Embedding for Apparel Recognition Yang Song, Yuan Li, Bo Wu, Chao-Yeh Chen, Xiao Zhang, Hartwig Adam

ECCV 2014 Large-Scale Object Classification Using Label Relation Graphs Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam

CVPR 2009 Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene Yuan Li, Chang Huang, Ram Nevatia

CVPR 2008 Global Data Association for Multi-Object Tracking Using Network Flows Li Zhang, Yuan Li, Ramakant Nevatia

ECCV 2008 Key Object Driven Multi-Category Object Recognition, Localization and Tracking Using Spatio-Temporal Context Yuan Li, Ram Nevatia

CVPR 2008 Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses Bo Wu, Ram Nevatia, Yuan Li

CVPR 2007 Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade

ECCV 2006 Robust Head Tracking with Particles Based on Multiple Cues Fusion Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao

ICCV 2005 Vector Boosting for Rotation Invariant Multi-View Face Detection Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao