Xu, Yi

108 publications

CVPR 2025 ActiveGAMER: Active GAussian Mapping Through Efficient Rendering Liyan Chen, Huangying Zhan, Kevin Chen, Xiangyu Xu, Qingan Yan, Changjiang Cai, Yi Xu

AAAI 2025 BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu

NeurIPS 2025 ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu, Zhibin Tang, Junjie Wen, Yaxin Peng, Chaomin Shen, Yi Xu

ICCV 2025 ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction Danhui Chen, Ziquan Liu, Chuxi Yang, Dan Wang, Yan Yan, Yi Xu, Xiangyang Ji

ICML 2025 Efficient ANN-SNN Conversion with Error Compensation Learning Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan

ICML 2025 Investigating Non-Transitivity in LLM-as-a-Judge Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk

NeurIPS 2025 MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging Zihuan Qiu, Yi Xu, Chiyuan He, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li

CVPRW 2025 PanoDreamer: Consistent Text to 360-Degree Scene Generation Zhexiao Xiong, Zhang Chen, Zhong Li, Yi Xu, Nathan Jacobs

IJCAI 2025 Predicting Spectral Information for Self-Supervised Signal Classification Yi Xu, Shuang Wang, Hantong Xing, Chenxu Wang, Dou Quan, Rui Yang, Dong Zhao, Luyang Mei

AAAI 2025 SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks Wei Miao, Jiangrong Shen, Qi Xu, Timo Hämäläinen, Yi Xu, Fengyu Cong

ICLR 2025 Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports Yi Xu, Yun Fu

NeurIPS 2025 Understanding While Exploring: Semantics-Driven Active Mapping Liyan Chen, Huangying Zhan, Hairong Yin, Yi Xu, Philippos Mordohai

CoRL 2025 VLM-AD: End-to-End Autonomous Driving Through Vision-Language Model Supervision Yi Xu, Yuxin Hu, Zaiwei Zhang, Gregory P. Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M. Wolff, Xin Huang

CVPR 2024 Adapting to Length Shift: FlexiLength Network for Trajectory Prediction Yi Xu, Yun Fu

AISTATS 2024 Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng

ICLR 2024 Diffusion Models for Multi-Task Generative Modeling Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Z. Yao, Son Dinh Tran, Belinda Zeng

AAAI 2024 Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin

CVPR 2024 Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning Zihuan Qiu, Yi Xu, Fanman Meng, Hongliang Li, Linfeng Xu, Qingbo Wu

IJCAI 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning Yi Xu, Ying Li, Haoyu Luo, Xiaoliang Fan, Xiao Liu

NeurIPS 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap Yang Yang, Fengqiang Wan, Qing-Yuan Jiang, Yi Xu

NeurIPS 2024 HuRef: HUman-REadable Fingerprint for Large Language Models Boyi Zeng, Lizheng Wang, Yuncong Hu, Yi Xu, Chenghu Zhou, Xinbing Wang, Yu Yu, Zhouhan Lin

ECCV 2024 Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation Xiaofeng Yang, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin

AAAI 2024 Multi-Region Text-Driven Manipulation of Diffusion Imagery Yiming Li, Peng Zhou, Jun Sun, Yi Xu

CVPR 2024 NARUTO: Neural Active Reconstruction from Uncertain Target Observations Ziyue Feng, Huangying Zhan, Zheng Chen, Qingan Yan, Xiangyu Xu, Changjiang Cai, Bing Li, Qilun Zhu, Yi Xu

CVPR 2024 OOSTraj: Out-of-Sight Trajectory Prediction with Vision-Positioning Denoising Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu

ECCV 2024 PanoFree: Tuning-Free Holistic Multi-View Image Generation with Cross-View Self-Guidance Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan Plummer

ECCV 2024 ParCo: Part-Coordinating Text-to-Motion Synthesis Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji

ICML 2024 Robust Multi-Task Learning with Excess Risks Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao

NeurIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

WACV 2024 Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting Zheng Chen, Zhiqi Zhang, Junsong Yuan, Yi Xu, Lantao Liu

CVPR 2024 Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis Zhan Li, Zhang Chen, Zhong Li, Yi Xu

CVPR 2024 Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan

ICML 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan

CVPR 2023 3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data Libing Zeng, Lele Chen, Wentao Bao, Zhong Li, Yi Xu, Junsong Yuan, Nima Khademi Kalantari

CVPR 2023 AdamsFormer for Spatial Action Localization in the Future Hyung-gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi

TMLR 2023 Attentional-Biased Stochastic Gradient Descent Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

ICLRW 2023 EurNet: Efficient Multi-Range Relational Modeling of Protein Structure Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian

CVPR 2023 High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition Tianyu Luan, Yuanhao Zhai, Jingjing Meng, Zhong Li, Zhang Chen, Yi Xu, Junsong Yuan

ICLR 2023 In-Sample Actor Critic for Offline Reinforcement Learning Hongchang Zhang, Yixiu Mao, Boyuan Wang, Shuncheng He, Yi Xu, Xiangyang Ji

CVPR 2023 Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images Tiancheng Lin, Zhimiao Yu, Hongyu Hu, Yi Xu, Chang-Wen Chen

NeurIPS 2023 Latent Graph Inference with Limited Supervision Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu

AAAI 2023 Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation Xinjian Zhang, Su Yang, Yi Xu, Weishan Zhang, Longwen Gao

ICCV 2023 NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu

NeurIPS 2023 Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Yang Yang, Yuxuan Zhang, Xin Song, Yi Xu

NeurIPS 2023 OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su

CVPR 2023 RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo Changjiang Cai, Pan Ji, Qingan Yan, Yi Xu

WACV 2023 Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth Nitin Bansal, Pan Ji, Junsong Yuan, Yi Xu

ICML 2023 Supported Trust Region Optimization for Offline Reinforcement Learning Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji

NeurIPS 2023 Supported Value Regularization for Offline Reinforcement Learning Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji

CVPR 2023 TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu, Yi Xu, Xiangyang Ji, Antoni B. Chan

AAAI 2023 Temporal Knowledge Graph Reasoning with Historical Contrastive Learning Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu

ICCV 2023 Uncertainty-Aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong

CVPR 2023 Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction Yi Xu, Armin Bazarjani, Hyung-gun Chi, Chiho Choi, Yun Fu

CVPR 2023 Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi

CVPR 2022 AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement Canqian Yang, Meiguang Jin, Xu Jia, Yi Xu, Ying Chen

CVPR 2022 Adaptive Trajectory Prediction via Transferable GNN Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu

NeurIPSW 2022 An Empirical Study on Distribution Shift Robustness from the Perspective of Pre-Training and Data Augmentation Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan

CVPR 2022 CHEX: CHannel EXploration for CNN Model Compression Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung

ICLR 2022 Effective Model Sparsification by Scheduled Grow-and-Prune Methods Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie

ECCV 2022 GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu

CVPR 2022 HCSC: Hierarchical Contrastive Selective Coding Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu

NeurIPS 2022 Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin

AAAI 2022 Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu

CVPR 2022 Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang

NeurIPS 2022 Look More but Care Less in Video Recognition Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu

IJCAI 2022 MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu

CVPR 2022 Multi-Modal Alignment Using Representation Codebook Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

CVPR 2022 PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo Jiachen Liu, Pan Ji, Nitin Bansal, Changjiang Cai, Qingan Yan, Xiaolei Huang, Yi Xu

WACV 2022 PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image Yuliang Guo, Zhong Li, Zekun Li, Xiangyu Du, Shuxue Quan, Yi Xu

ECCV 2022 Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning Mingda Wang, Canqian Yang, Yi Xu

ECCV 2022 SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu

CVPR 2022 Vision-Language Pre-Training with Triple Contrastive Learning Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang

NeurIPS 2022 Why Do We Need Large Batchsizes in Contrastive Learning? a Gradient-Bias Perspective Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi

NeurIPS 2021 An Online Method for a Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

CVPRW 2021 Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun

NeurIPS 2021 DP-SSL: Towards Robust Semi-Supervised Learning with a Few Labeled Samples Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou

ICML 2021 Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

ICML 2021 Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

AAAI 2021 GIF Thumbnails: Attract More Clicks to Your Videos Yi Xu, Fan Bai, Yingxuan Shi, Qiuyu Chen, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun

ICCV 2021 MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments Pan Ji, Runze Li, Bir Bhanu, Yi Xu

AAAI 2021 Topic-Aware Multi-Turn Dialogue Modeling Yi Xu, Hai Zhao, Zhuosheng Zhang

AAAI 2020 CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory Yi Xu, Jing Yang, Shaoyi Du

AAAI 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou

NeurIPS 2020 Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang

ICML 2020 Stochastic Optimization for Non-Convex Inf-Projection Problems Yan Yan, Yi Xu, Lijun Zhang, Wang Xiaoyu, Tianbao Yang

ECCV 2020 Talking-Head Generation with Rhythmic Head Motion Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu

ICML 2019 Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number Zaiyi Chen, Yi Xu, Haoyuan Hu, Tianbao Yang

UAI 2019 Learning with Non-Convex Truncated Losses by SGD Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang

NeurIPS 2019 Non-Asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems Yi Xu, Rong Jin, Tianbao Yang

IJCAI 2019 On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang

ICML 2019 Stochastic Optimization for DC Functions and Non-Smooth Non-Convex Regularizers with Non-Asymptotic Convergence Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang

NeurIPS 2018 First-Order Stochastic Algorithms for Escaping from Saddle Points in Almost Linear Time Yi Xu, Rong Jin, Tianbao Yang

ECCV 2018 Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection Jie Zhang, Yi Xu, Bingbing Ni, Zhenyu Duan

CVPRW 2018 Multi-Scale Voxel Hashing and Efficient 3D Representation for Mobile Augmented Reality Yi Xu, Yuzhang Wu, Hui Zhou

ECCV 2018 Quaternion Convolutional Neural Networks Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen

ICML 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang

NeurIPS 2017 ADMM Without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization Yi Xu, Mingrui Liu, Qihang Lin, Tianbao Yang

NeurIPS 2017 Adaptive SVRG Methods Under Error Bound Conditions with Unknown Growth Parameter Yi Xu, Qihang Lin, Tianbao Yang

CVPRW 2017 Caught Red-Handed: Toward Practical Video-Based Subsequences Matching in the Presence of Real-World Transformations Yi Xu, true Price, Fabian Monrose, Jan-Michael Frahm

AAAI 2017 Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang

ICML 2017 Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence Yi Xu, Qihang Lin, Tianbao Yang

CVPR 2017 Video Segmentation via Multiple Granularity Analysis Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, Xiaokang Yang

NeurIPS 2016 Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ Yi Xu, Yan Yan, Qihang Lin, Tianbao Yang

AAAI 2015 Dictionary Learning with Mutually Reinforcing Group-Graph Structures Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu

ICCVW 2015 Saliency Detection Using Quaternion Sparse Reconstruction Yi Zeng, Yi Xu

CVPR 2010 High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements Yi Xu, Daniel G. Aliaga

CVPR 2009 Coded Exposure Deblurring: Optimized Codes for PSF Estimation and Invertibility Amit K. Agrawal, Yi Xu

CVPR 2008 Photogeometric Structured Light: A Self-Calibrating and Multi-Viewpoint Framework for Accurate 3D Modeling Daniel G. Aliaga, Yi Xu