Chen, Xi

190 publications

AAAI 2025 Asynchronous Federated Clustering with Unknown Number of Clusters Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung

IJCAI 2025 AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-Trained Diffusion Models for Image Editing Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu

NeurIPS 2025 ComPO: Preference Alignment via Comparison Oracles Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin

IJCAI 2025 Connector-S: A Survey of Connectors in Multi-Modal Large Language Models Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li, Ji Wu

ICLR 2025 CryoGEN: Generative Energy-Based Models for Cryogenic Electron Tomography Reconstruction Yunfei Teng, Yuxuan Ren, Kai Chen, Xi Chen, Zhaoming Chen, Qiwei Ye

AAAI 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs Guoqing Wang, Wen Wu, Guangze Ye, Zhenxiao Cheng, Xi Chen, Hong Zheng

ICCV 2025 DiffDoctor: Diagnosing Image Diffusion Models Before Treating Yiyang Wang, Xi Chen, Xiaogang Xu, Sihui Ji, Yu Liu, Yujun Shen, Hengshuang Zhao

AAAI 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He

CVPR 2025 EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation Diljeet Jagpal, Xi Chen, Vinay P. Namboodiri

ICCV 2025 Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding Yue Fan, Xiaojian Ma, Rongpeng Su, Jun Guo, Rujie Wu, Xi Chen, Qing Li

CVPR 2025 EnvGS: Modeling View-Dependent Appearance with Environment Gaussian Tao Xie, Xi Chen, Zhen Xu, Yiman Xie, Yudong Jin, Yujun Shen, Sida Peng, Hujun Bao, Xiaowei Zhou

ICML 2025 FedOne: Query-Efficient Federated Learning for Black-Box Discrete Prompt Learning Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling

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

TMLR 2025 Foundation Models Meet Federated Learning: A One-Shot Feature-Sharing Method with Privacy and Performance Guarantees Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang

ICCV 2025 GenieBlue: Integrating Both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices Xudong Lu, Yinghao Chen, Renshou Wu, Haohao Gao, Xi Chen, Xue Yang, Xiangyu Zhao, Aojun Zhou, Fangyuan Li, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

AAAI 2025 HFF-Tracker: A Hierarchical Fine-Grained Fusion Tracker for Referring Multi-Object Tracking Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen

NeurIPS 2025 LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization Zhenpeng Huang, Jiaqi Li, Zihan Jia, Xinhao Li, Desen Meng, Lingxue Song, Xi Chen, Liang Li, Limin Wang

CVPR 2025 MangaNinja: Line Art Colorization with Precise Reference Following Zhiheng Liu, Ka Leong Cheng, Xi Chen, Jie Xiao, Hao Ouyang, Kai Zhu, Yu Liu, Yujun Shen, Qifeng Chen, Ping Luo

NeurIPS 2025 MiCo: Multi-Image Contrast for Reinforcement Visual Reasoning Xi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao

CVPR 2025 MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation Shuwei Shi, Biao Gong, Xi Chen, Dandan Zheng, Shuai Tan, Zizheng Yang, Yuyuan Li, Jingwen He, Kecheng Zheng, Jingdong Chen, Ming Yang, Yinqiang Zheng

CVPR 2025 NoT: Federated Unlearning via Weight Negation Yasser H. Khalil, Leo Brunswic, Soufiane Lamghari, Xu Li, Mahdi Beitollahi, Xi Chen

CVPR 2025 ObjectMover: Generative Object Movement with Video Prior Xin Yu, Tianyu Wang, Soo Ye Kim, Paul Guerrero, Xi Chen, Qing Liu, Zhe Lin, Xiaojuan Qi

NeurIPS 2025 OmniVCus: Feedforward Subject-Driven Video Customization with Multimodal Control Conditions Yuanhao Cai, He Zhang, Xi Chen, Jinbo Xing, Yiwei Hu, Yuqian Zhou, Kai Zhang, Zhifei Zhang, Soo Ye Kim, Tianyu Wang, Yulun Zhang, Xiaokang Yang, Zhe Lin, Alan Yuille

CVPR 2025 Online Video Understanding: OVBench and VideoChat-Online Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng, Cheng Liang, Tao Wu, Xi Chen, Liang Li, Limin Wang

NeurIPS 2025 PlayerOne: Egocentric World Simulator Yuanpeng Tu, Hao Luo, Xi Chen, Xiang Bai, Fan Wang, Hengshuang Zhao

NeurIPS 2025 ROSE: Remove Objects with Side Effects in Videos Chenxuan Miao, Yutong Feng, Jianshu Zeng, Zixiang Gao, Liu Hantang, Yunfeng Yan, Donglian Qi, Xi Chen, Bin Wang, Hengshuang Zhao

ICML 2025 Rethinking Time Encoding via Learnable Transformation Functions Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong

AAAI 2025 Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking Zhengfei Xu, Sijia Zhao, Yanchao Hao, Xiaolong Liu, Lili Li, Yuyang Yin, Bo Li, Xi Chen, Xin Xin

NeurIPS 2025 Seg-VAR:Image Segmentation with Visual Autoregressive Modeling Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Hengshuang Zhao

AAAI 2025 TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong

ICML 2025 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia

ICLR 2025 TRACE: Temporal Grounding Video LLM via Causal Event Modeling Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang

COLT 2025 Testing Juntas and Junta Subclasses with Relative Error Xi Chen, William Pires, Toniann Pitassi, R. A. Servedio

AAAI 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards Xi Chen, Zhihui Zhu, Andrew Perrault

MLJ 2025 Towards Interpretable and Robust UAV-Based Foundation Model for Endangered Species Monitoring in Complex Ecosystems Jihan Zhang, Mingqiao Han, K. H. Laurie, Benyun Zhao, Lei Lei, Xi Chen, Hon Chi Judy Wan, Siu Gin Cheung, Wenxing Hong, Ben M. Chen

CVPR 2025 UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

CVPR 2025 UniReal: Universal Image Generation and Editing via Learning Real-World Dynamics Xi Chen, Zhifei Zhang, He Zhang, Yuqian Zhou, Soo Ye Kim, Qing Liu, Yijun Li, Jianming Zhang, Nanxuan Zhao, Yilin Wang, Hui Ding, Zhe Lin, Hengshuang Zhao

TMLR 2025 Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, Ian McLeod, Charles Ling, Boyu Wang

NeurIPS 2025 Unifying Text Semantics and Graph Structures for Temporal Text-Attributed Graphs with Large Language Models Siwei Zhang, Yun Xiong, Yateng Tang, Jiarong Xu, Xi Chen, Zehao Gu, Xuehao Zheng, Zi'an Jia, Jiawei Zhang

NeurIPS 2025 Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin

AAAI 2025 VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao

ICCV 2025 ViLLa: Video Reasoning Segmentation with Large Language Model Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Hengshuang Zhao

NeurIPS 2025 Zero-Shot Denoising via Neural Compression: Theoretical and Algorithmic Framework Ali Zafari, Xi Chen, Shirin Jalali

ICML 2025 iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, Qicheng Lao

TMLR 2024 3D Molecular Generation via Virtual Dynamics Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke

CVPR 2024 AnyDoor: Zero-Shot Object-Level Image Customization Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao

ICML 2024 Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise Xi Chen, Zhewen Hou, Christopher Metzler, Arian Maleki, Shirin Jalali

TMLR 2024 Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Soufiane Lamghari, Yasser H. Khalil, Xi Chen, Guojun Zhang

AAAI 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart

ICMLW 2024 Combining Pre-Trained LoRA Modules Improves Few-Shot Adaptation of Foundation Models to New Tasks Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen

TMLR 2024 DFML: Decentralized Federated Mutual Learning Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen

AAAI 2024 Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging Fulin Luo, Xi Chen, Xiuwen Gong, Weiwen Wu, Tan Guo

AAAI 2024 Editing Language Model-Based Knowledge Graph Embeddings Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen

AAAI 2024 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

TMLR 2024 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

ICMLW 2024 GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut

IJCAI 2024 InstructEdit: Instruction-Based Knowledge Editing for Large Language Models Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen

ECCV 2024 IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination Xi Chen, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan, Chengfei Lyu, Xiaowei Zhou

NeurIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

ICLR 2024 Latent Trajectory Learning for Limited Timestamps Under Distribution Shift over Time Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang

CVPR 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang

ICLR 2024 Less or More from Teacher: Exploiting Trilateral Geometry for Knowledge Distillation Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

ICMLW 2024 Leveraging Generative Foundation Models for Domain Generalization Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang

ECCV 2024 LivePhoto: Real Image Animation with Text-Guided Motion Control Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, Hengshuang Zhao

ECCV 2024 LogoSticker: Inserting Logos into Diffusion Models for Customized Generation Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia

ECCV 2024 Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment Brian Gordon, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor

CVPR 2024 On Scaling up a Multilingual Vision and Language Model Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, Aj Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

ECCV 2024 OpenIns3D: Snap and Lookup for 3D Open-Vocabulary Instance Segmentation Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby

ICLR 2024 PolyVoice: Language Models for Speech to Speech Translation Qian qian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang

IJCAI 2024 Pre-DyGAE: Pre-Training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong

CVPR 2024 PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding Xuesong Nie, Haoyuan Jin, Yunfeng Yan, Xi Chen, Zhihang Zhu, Donglian Qi

ICML 2024 Rethinking Generative Large Language Model Evaluation for Semantic Comprehension Fangyun Wei, Xi Chen, Lin Luo

ICMLW 2024 Reweighted Bellman Targets for Continual Reinforcement Learning Ke Sun, Jun Jin, Xi Chen, Wulong Liu, Linglong Kong

NeurIPS 2024 Slicing Vision Transformer for Flexible Inference Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Xi Chen, Derek Hao Hu, Yun Fu

ICLR 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang

NeurIPS 2024 SyncVIS: Synchronized Video Instance Segmentation Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao

WACV 2024 Triplet Attention Transformer for Spatiotemporal Predictive Learning Xuesong Nie, Xi Chen, Haoyuan Jin, Zhihang Zhu, Yunfeng Yan, Donglian Qi

TMLR 2024 Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

ICML 2024 Understanding the Training Speedup from Sampling with Approximate Losses Rudrajit Das, Xi Chen, Bertram Ieong, Parikshit Bansal, Sujay Sanghavi

NeurIPS 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms Mengyu Zhao, Xi Chen, Xin Yuan, Shirin Jalali

ICLR 2024 Unveiling the Pitfalls of Knowledge Editing for Large Language Models Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen

AAAI 2024 Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi

ECCV 2024 Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment Mengting Chen, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao

NeurIPS 2024 Zero-Shot Image Editing with Reference Imitation Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao

ICML 2023 2D-Shapley: A Framework for Fragmented Data Valuation Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia

JMLR 2023 Boosting Multi-Agent Reinforcement Learning via Contextual Prompting Yue Deng, Zirui Wang, Xi Chen, Yin Zhang

CVPR 2023 Detecting Everything in the Open World: Towards Universal Object Detection Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang

WACV 2023 Dissecting Deep Metric Learning Losses for Image-Text Retrieval Hong Xuan, Xi Chen

CVPR 2023 Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Boyu Wang, Nicu Sebe

NeurIPSW 2023 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

AAAI 2023 FreeEnricher: Enriching Face Landmarks Without Additional Cost Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang, Chong Li, Jiaolong Yang, Dong Chen

NeurIPSW 2023 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Meng Fang

WACV 2023 Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu, Xi Chen, Chen Ma, Xue Liu

CVPR 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut

NeurIPSW 2023 Multilook Compressive Sensing in the Presence of Speckle Noise Xi Chen, Zhewen Hou, Christopher Metzler, Arian Maleki, Shirin Jalali

ICCV 2023 Open-Vocabulary Panoptic Segmentation with Embedding Modulation Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao

ICLR 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model Xi Chen, Xiao Wang, Soravit Changpinyo, Aj Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme Ruiz, Andreas Peter Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

ICCV 2023 PreSTU: Pre-Training for Scene-Text Understanding Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut

TMLR 2023 Proportional Fairness in Federated Learning Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu

CoRL 2023 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

AAAI 2023 Supervised Contrastive Few-Shot Learning for High-Frequency Time Series Xi Chen, Cheng Ge, Ming Wang, Jin Wang

NeurIPS 2023 TMT-VIS: Taxonomy-Aware Multi-Dataset Joint Training for Video Instance Segmentation Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao

ICCV 2023 TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Chen, Xinggang Wang, Hongyang Chao, Han Hu

ICCV 2023 Understanding Hessian Alignment for Domain Generalization Sobhan Hemati, Guojun Zhang, Amir Estiri, Xi Chen

NeurIPS 2023 Uni3DETR: Unified 3D Detection Transformer Zhenyu Wang, Ya-Li Li, Xi Chen, Hengshuang Zhao, Shengjin Wang

JMLR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang

ECCV 2022 Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen

IJCAI 2022 Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms Zishuo Zhao, Xi Chen, Xuefeng Zhang, Yuan Zhou

NeurIPSW 2022 Fine-Tuning Offline Policies with Optimistic Action Selection Max Sobol Mark, Ali Ghadirzadeh, Xi Chen, Chelsea Finn

CVPR 2022 FocalClick: Towards Practical Interactive Image Segmentation Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, Hengshuang Zhao

TMLR 2022 Interpretable Node Representation with Attribute Decoding Xiaohui Chen, Xi Chen, Liping Liu

NeurIPS 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang

NeurIPSW 2022 Memory Bounds for Continual Learning Binghui Peng, Xi Chen, Christos Papadimitriou

JMLR 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet

ICLR 2022 PAC-Bayes Information Bottleneck Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

ECCV 2022 PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut

AISTATS 2021 Tight Regret Bounds for Infinite-Armed Linear Contextual Bandits Yingkai Li, Yining Wang, Xi Chen, Yuan Zhou

ICML 2021 Adversarial Combinatorial Bandits with General Non-Linear Reward Functions Yanjun Han, Yining Wang, Xi Chen

NeurIPS 2021 Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut

ICCV 2021 Conditional Diffusion for Interactive Segmentation Xi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang, Manni Duan

IJCAI 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen

ICLRW 2021 Few-Shotlearning with Weak Supervision Ali Ghadirzadeh, Petra Poklukar, Xi Chen, Huaxiu Yao, Hossein Azizpour, Mårten Björkman, Chelsea Finn, Danica Kragic

NeurIPS 2021 Generalized DataWeighting via Class-Level Gradient Manipulation Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

COLT 2021 Learning and Testing Junta Distributions with Sub Cube Conditioning Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten

JMLR 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions Xi Chen, Victor Chernozhukov, Ivan Fernandez-Val, Scott Kostyshak, Ye Luo

IJCAI 2021 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng

JMLR 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen

IJCAI 2020 Bayesian Decision Process for Budget-Efficient Crowdsourced Clustering Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu

JMLR 2020 Distributed High-Dimensional Regression Under a Quantile Loss Function Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang

JMLR 2020 Dynamic Assortment Optimization with Changing Contextual Information Xi Chen, Yining Wang, Yuan Zhou

NeurIPS 2020 Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael I. Jordan

NeurIPS 2020 Hedging in Games: Faster Convergence of External and Swap Regrets Xi Chen, Binghui Peng

NeurIPS 2020 Information Theoretic Counterfactual Learning from Missing-Not-at-Random Feedback Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan Kuruoglu, Yefeng Zheng

JMLR 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics Xi Chen, Simon S. Du, Xin T. Tong

AAAI 2020 Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract) Xi Chen, Afsaneh Doryab

IJCAI 2020 SiamBOMB: A Real-Time AI-Based System for Home-Cage Animal Tracking, Segmentation and Behavioral Analysis Xi Chen, Hao Zhai, Danqian Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han

AISTATS 2020 Thresholding Bandit Problem with Both Duels and Pulls Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski

IJCAI 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge Gehui Shen, Xi Chen, Zhi-Hong Deng

AAAI 2019 Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen

CVPRW 2019 Depth Image Quality Assessment for View Synthesis Based on Weighted Edge Similarity Leida Li, Xi Chen, Yu Zhou, Jinjian Wu, Guangming Shi

JMLR 2019 Distributed Inference for Linear Support Vector Machine Xiaozhou Wang, Zhuoyi Yang, Xi Chen, Weidong Liu

ICML 2019 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

NeurIPS 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet

ICML 2019 Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ICLR 2018 A Simple Neural Attentive Meta-Learner Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel

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

ICLR 2018 Meta Learning Shared Hierarchies Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman

NeurIPS 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models Yining Wang, Xi Chen, Yuan Zhou

ICLR 2018 Parameter Space Noise for Exploration Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

ICML 2018 PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel

ECCV 2018 Stacked Cross Attention for Image-Text Matching Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He

ICML 2017 Adaptive Multiple-Arm Identification Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou

CVPRW 2017 Delving Deep into Coarse-to-Fine Framework for Facial Landmark Localization Xi Chen, Erjin Zhou, Yuchen Mo, Jiancheng Liu, Zhimin Cao

ICLR 2017 PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma

ICLR 2017 Variational Lossy Autoencoder Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel

JMLR 2016 Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing Xi Chen, Kevin Jiao, Qihang Lin

ICML 2016 Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel

CVPRW 2016 Generating Discriminative Object Proposals via Submodular Ranking Yangmuzi Zhang, Zhuolin Jiang, Xi Chen, Larry S. Davis

NeurIPS 2016 Improved Techniques for Training GANs Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen, Xi Chen

NeurIPS 2016 Improved Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, Max Welling

NeurIPS 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel

JMLR 2016 On Bayes Risk Lower Bounds Xi Chen, Adityanand Guntuboyina, Yuchen Zhang

NeurIPS 2016 On the Recursive Teaching Dimension of VC Classes Xi Chen, Xi Chen, Yu Cheng, Bo Tang

JMLR 2016 Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan

WACV 2016 Unsupervised Network Pretraining via Encoding Human Design Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen

NeurIPS 2016 VIME: Variational Information Maximizing Exploration Rein Houthooft, Xi Chen, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

ICML 2015 Large-Scale Markov Decision Problems with KL Control Cost and Its Application to Crowdsourcing Yasin Abbasi-Yadkori, Peter Bartlett, Xi Chen, Alan Malek

JMLR 2015 Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling Xi Chen, Qihang Lin, Dengyong Zhou

WACV 2014 Object Co-Labeling in Multiple Images Xi Chen, Arpit Jain, Larry S. Davis

ICML 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing Yuan Zhou, Xi Chen, Jian Li

NeurIPS 2014 Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I Jordan

UAI 2013 Evaluating Computational Models of Explanation Using Human Judgments Michael Pacer, Joseph Jay Williams, Xi Chen, Tania Lombrozo, Thomas L. Griffiths

ICML 2013 Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing Xi Chen, Qihang Lin, Dengyong Zhou

NeurIPS 2013 Variance Reduction for Stochastic Gradient Optimization Chong Wang, Xi Chen, Alexander J Smola, Eric P Xing

NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja

ICML 2012 Group Sparse Additive Models Junming Yin, Xi Chen, Eric P. Xing

NeurIPS 2012 Optimal Regularized Dual Averaging Methods for Stochastic Optimization Xi Chen, Qihang Lin, Javier Pena

AISTATS 2012 Structured Sparse Canonical Correlation Analysis Xi Chen, Liu Han, Jaime Carbonell

CVPR 2011 Piecing Together the Segmentation Jigsaw Using Context Xi Chen, Arpit Jain, Abhinav Gupta, Larry S. Davis

UAI 2011 Smoothing Proximal Gradient Method for General Structured Sparse Learning Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing

NeurIPS 2010 Graph-Valued Regression Han Liu, Xi Chen, Larry Wasserman, John D. Lafferty

AAAI 2010 Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell

NeurIPS 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems Han Liu, Xi Chen

NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem Han Liu, Xi Chen

CVPR 2007 High Distortion and Non-Structural Image Matching via Feature Co-Occurrence Xi Chen, Tat-Jen Cham

CVPR 2005 Learning Feature Distance Measures for Image Correspondences Xi Chen, Tat-Jen Cham