Zhang, Yi

149 publications

CVPR 2025 Adaptive Parameter Selection for Tuning Vision-Language Models Yi Zhang, Yi-Xuan Deng, Meng-Hao Guo, Shi-Min Hu

ICCV 2025 Adversarial Training for Probabilistic Robustness Yi Zhang, Yuhang Chen, Zhen Chen, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Xingyu Zhao

AAAI 2025 Attributive Reasoning for Hallucination Diagnosis of Large Language Models Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao

NeurIPS 2025 Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection Michelle Yuan, Khushbu Pahwa, Shuaichen Chang, Mustafa Devrim Kaba, Jiarong Jiang, Xiaofei Ma, Yi Zhang, Monica Sunkara

WACV 2025 Copy or Not? Reference-Based Face Image Restoration with Fine Details Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang

AAAI 2025 Correcting Large Language Model Behavior via Influence Function Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu

AAAI 2025 CriSPO: Multi-Aspect Critique-Suggestion-Guided Automatic Prompt Optimization for Text Generation Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff

AAAI 2025 Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero

ICLR 2025 DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu

AAAI 2025 DepMGNN: Matrixial Graph Neural Network for Video-Based Automatic Depression Assessment Zijian Wu, Leijing Zhou, Shuanglin Li, Changzeng Fu, Jun Lu, Jing Han, Yi Zhang, Zhuang Zhao, Siyang Song

WACV 2025 EasyRet3D: Uncalibrated Multi-View Multi-Human 3D Reconstruction and Tracking Junjie Oscar Yin, Ting Li, Jiahao Wang, Yi Zhang, Alan Yuille

CVPR 2025 Enhanced Then Progressive Fusion with View Graph for Multi-View Clustering Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu

ICML 2025 Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang

ICML 2025 From Spectrum-Free Towards Baseline-View-Free: Double-Track Proximity Driven Multi-View Clustering Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang

NeurIPS 2025 GenIR: Generative Visual Feedback for Mental Image Retrieval Diji Yang, Minghao Liu, Chung-Hsiang Lo, Yi Zhang, James Davis

NeurIPS 2025 Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems Yi Zhang, Yushen Long, Yun Ni, Liping Huang, Xiaohong Wang, Jun Liu

NeurIPS 2025 Improving Retrieval-Augmented Generation Through Multi-Agent Reinforcement Learning Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao

AAAI 2025 InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction Yi Zhang, Xiaoyang Huang, Yishun Dou, Yue Shi, Rui Shi, Ye Chen, Bingbing Ni, Wenjun Zhang

NeurIPS 2025 Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning Dechen Zhang, Zhenmei Shi, Yi Zhang, Yingyu Liang, Difan Zou

ICLR 2025 Language Representations Can Be What Recommenders Need: Findings and Potentials Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua

CVPR 2025 Large-Scale Multi-View Tensor Clustering with Implicit Linear Kernels Jiyuan Liu, Xinwang Liu, Chuankun Li, Xinhang Wan, Hao Tan, Yi Zhang, Weixuan Liang, Qian Qu, Yu Feng, Renxiang Guan, Ke Liang

ICML 2025 MultiPDENet: PDE-Embedded Learning with Multi-Time-Stepping for Accelerated Flow Simulation Qi Wang, Yuan Mi, Wang Haoyun, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun

NeurIPS 2025 On Reasoning Strength Planning in Large Reasoning Models Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua

CVPR 2025 Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model Ziyuan Yang, Yingyu Chen, Zhiwen Wang, Hongming Shan, Yang Chen, Yi Zhang

ICLR 2025 PhyMPGN: Physics-Encoded Message Passing Graph Network for Spatiotemporal PDE Systems Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

ICCV 2025 RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation Yuhan Li, Xianfeng Tan, Wenxiang Shang, Yubo Wu, Jian Wang, Xuanhong Chen, Yi Zhang, Hangcheng Zhu, Bingbing Ni

NeurIPS 2025 RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs Meng-Hao Guo, Xuanyu Chu, Qianrui Yang, Zhe-Han Mo, Yiqing Shen, Pei-lin Li, Xinjie Lin, Jinnian Zhang, Xin-Sheng Chen, Yi Zhang, Kiyohiro Nakayama, Zhengyang Geng, Houwen Peng, Han Hu, Shi-min Hu

ICML 2025 RBench: Graduate-Level Multi-Disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu

MLJ 2025 RIADNet: Single Image Deraining Network for Raindrops and Rain Streaks Removal Changle Yu, Ping Fan, Yi Zhang, Jiyu Yang

CVPR 2025 See Further When Clear: Curriculum Consistency Model Yunpeng Liu, Boxiao Liu, Yi Zhang, Xingzhong Hou, Guanglu Song, Yu Liu, Haihang You

ICLR 2025 Simple yet Effective Incomplete Multi-View Clustering: Similarity-Level Imputation and Intra-View Hybrid-Group Prototype Construction Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung

ICML 2025 Testing Conditional Mean Independence Using Generative Neural Networks Yi Zhang, Linjun Huang, Yun Yang, Xiaofeng Shao

NeurIPS 2025 Transfer Faster, Price Smarter: Minimax Dynamic Pricing Under Cross-Market Preference Shift Yi Zhang, Elynn Chen, Yujun Yan

NeurIPS 2025 Worse than Zero-Shot? a Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals Linda Zeng, Rithwik Gupta, Divij Motwani, Yi Zhang, Diji Yang

AAAI 2024 Concept-Guided Prompt Learning for Generalization in Vision-Language Models Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He

ECCV 2024 Conceptual Codebook Learning for Vision-Language Models Yi Zhang, Ke Yu, Siqi Wu, Zhihai He

CVPR 2024 DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan Yuille

CVPR 2024 Domain Separation Graph Neural Networks for Saliency Object Ranking Zijian Wu, Jun Lu, Jing Han, Lianfa Bai, Yi Zhang, Zhuang Zhao, Siyang Song

CVPR 2024 EasyDrag: Efficient Point-Based Manipulation on Diffusion Models Xingzhong Hou, Boxiao Liu, Yi Zhang, Jihao Liu, Yu Liu, Haihang You

CVPR 2024 Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation Yi Zhang, Meng-Hao Guo, Miao Wang, Shi-Min Hu

CVPR 2024 Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu

AAAI 2024 FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, Bingbing Ni

ICLR 2024 Generating Images with 3D Annotations Using Diffusion Models Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille

AAAI 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu

WACV 2024 Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He

AAAI 2024 Leveraging Opposite Gender Interaction Ratio as a Path Towards Fairness in Online Dating Recommendations Based on User Sexual Orientation Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr

ECCV 2024 LiteSAM Is Actually What You Need for Segment Everything Jianhai Fu, Yuanjie Yu, Ningchuan Li, Yi Zhang, Qichao Chen, Jianping Xiong, Jun Yin, Zhiyu Xiang

NeurIPS 2024 MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding

NeurIPSW 2024 On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models Yi Zhang, Difan Zou

NeurIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for Efficient Prediction of Spatiotemporal Dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

ECCV 2024 PairingNet: A Learning-Based Pair-Searching and -matching Network for Image Fragments Rixin Zhou, Ding Xia, Yi Zhang, Honglin Pang, Xi Yang, Chuntao Li

CVPR 2024 Point Segment and Count: A Generalized Framework for Object Counting Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang, Hongming Shan

ECCV 2024 ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A Jennings, Xingyu Zhao

NeurIPS 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang

ICMLW 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang

NeurIPS 2024 Right This Way: Can VLMs Guide Us to See More to Answer Questions? Li Liu, Diji Yang, Sijia Zhong, Kalyana Suma Sree Tholeti, Lei Ding, Yi Zhang, Leilani H. Gilpin

NeurIPS 2024 SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang, Kurt Stockinger, Jonathan Fürst

AAAI 2024 Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

NeurIPS 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan

AAAI 2024 Tackling Vision Language Tasks Through Learning Inner Monologues Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang

ECCV 2024 When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset Yi Zhang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu

NeurIPSW 2024 xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi Zhang, Jianming Hu, Xianyuan Zhan

ICCV 2023 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan Yuille

CVPR 2023 A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift Dasong Li, Xiaoyu Shi, Yi Zhang, Ka Chun Cheung, Simon See, Xiaogang Wang, Hongwei Qin, Hongsheng Li

NeurIPS 2023 A Unified Conditional Framework for Diffusion-Based Image Restoration Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li

ICCV 2023 Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille, Adam Kortylewski

JMLR 2023 Augmented Transfer Regression Learning with Semi-Non-Parametric Nuisance Models Molei Liu, Yi Zhang, Katherine P. Liao, Tianxi Cai

AAAI 2023 Boosting Point Clouds Rendering via Radiance Mapping Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang

AAAI 2023 DFEE: Interactive DataFlow Execution and Evaluation Kit Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour

CVPR 2023 Frequency-Modulated Point Cloud Rendering with Easy Editing Yi Zhang, Xiaoyang Huang, Bingbing Ni, Teng Li, Wenjun Zhang

IJCAI 2023 From Association to Generation: Text-Only Captioning by Unsupervised Cross-Modal Mapping Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang

NeurIPSW 2023 Learning Inner Monologue and Its Utilization in Vision-Language Challenges Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang

ICCV 2023 Learning Shape Primitives via Implicit Convexity Regularization Xiaoyang Huang, Yi Zhang, Kai Chen, Teng Li, Wenjun Zhang, Bingbing Ni

NeurIPS 2023 Learning Threshold Neurons via Edge of Stability Kwangjun Ahn, Sebastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang

ICCV 2023 Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu

NeurIPSW 2023 Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving Haoyi Niu, Qimao Chen, Yingyue Li, Yi Zhang, Jianming Hu

ICCV 2023 The Euclidean Space Is Evil: Hyperbolic Attribute Editing for Few-Shot Image Generation Lingxiao Li, Yi Zhang, Shuhui Wang

NeurIPSW 2023 TinyGSM: Achieving 80% on GSM8k with One Billion Parameters Bingbin Liu, Sebastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang

ICCVW 2023 Unsupervised Camouflaged Object Segmentation as Domain Adaptation Yi Zhang, Chengyi Wu

ICLR 2023 What Makes Convolutional Models Great on Long Sequence Modeling? Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey

ECCV 2022 Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation Qihao Liu, Yi Zhang, Song Bai, Alan Yuille

AAAI 2022 Fusion Multiple Kernel K-Means Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

CVPR 2022 IDR: Self-Supervised Image Denoising via Iterative Data Refinement Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li

ECCV 2022 Learning Degradation Representations for Image Deblurring Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li

NeurIPS 2022 Measuring and Reducing Model Update Regression in Structured Prediction for NLP Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang

ICLR 2022 On Predicting Generalization Using GANs Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora

ECCV 2022 Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie

UAI 2022 Self-Supervised Representations for Multi-View Reinforcement Learning Huanhuan Yang, Dianxi Shi, Guojun Xie, Yingxuan Peng, Yi Zhang, Yantai Yang, Shaowu Yang

AAAI 2022 Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder Elman Mansimov, Yi Zhang

AAAI 2022 Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang

NeurIPS 2022 Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu

AAAI 2022 Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang

CoRL 2022 Vision-Based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation Zhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, Yi Zhang

NeurIPSW 2022 Volumetric Neural Human for Robust Pose Optimization via Analysis-by-Synthesis Pengliang Ji, Angtian Wang, Yi Zhang, Adam Kortylewski, Alan Yuille

ACML 2021 An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk Kai Liu, Lulu Wang, Yi Zhang

IJCAI 2021 Context-Aware Cross-Level Fusion Network for Camouflaged Object Detection Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu

AAAI 2021 DASZL: Dynamic Action Signatures for Zero-Shot Learning Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager

ICCV 2021 Localized Simple Multiple Kernel K-Means Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

IJCAI 2021 Novelty Detection via Contrastive Learning with Negative Data Augmentation Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma

ICCVW 2021 Nuisance-Label Supervision: Robustness Improvement by Free Labels Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille

ICML 2021 One Pass Late Fusion Multi-View Clustering Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

AAAI 2021 RESA: Recurrent Feature-Shift Aggregator for Lane Detection Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai

AAAI 2021 RGB-D Salient Object Detection via 3D Convolutional Neural Networks Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du

ICCV 2021 Rethinking Noise Synthesis and Modeling in Raw Denoising Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li

AAAI 2021 RevMan: Revenue-Aware Multi-Task Online Insurance Recommendation Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li

ICCV 2021 Salient Object Ranking with Position-Preserved Attention Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

ICLR 2021 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li, Yi Zhang, Sanjeev Arora

ICML 2020 A Sample Complexity Separation Between Non-Convex and Convex Meta-Learning Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora

ICML 2020 Calibration, Entropy Rates, and Memory in Language Models Mark Braverman, Xinyi Chen, Sham Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang

ICLR 2020 Extreme Tensoring for Low-Memory Preconditioning Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang

NeurIPS 2020 ICNet: Intra-Saliency Correlation Network for Co-Saliency Detection Wen-Da Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo

COLT 2020 No-Regret Prediction in Marginally Stable Systems Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang

NeurIPS 2020 Over-Parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality Yi Zhang, Orestis Plevrakis, Simon S Du, Xingguo Li, Zhao Song, Sanjeev Arora

ECCV 2020 Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille

ECML-PKDD 2020 Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks Qian Chen, Yuntao Du, Zhiwen Tan, Yi Zhang, Chongjun Wang

CVPRW 2020 Vehicle Re-Identification Based on Complementary Features Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao

ICML 2019 Efficient Full-Matrix Adaptive Regularization Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang

NeurIPS 2019 Explaining Landscape Connectivity of Low-Cost Solutions for Multilayer Nets Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora

AAAI 2019 On Reinforcement Learning for Full-Length Game of StarCraft Zhen-Jia Pang, Ruo-Ze Liu, Zhou-Yu Meng, Yi Zhang, Yang Yu, Tong Lu

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 Do GANs Learn the Distribution? Some Theory and Empirics Sanjeev Arora, Andrej Risteski, Yi Zhang

ICLR 2018 Not-so-Random Features Brian Bullins, Cyril Zhang, Yi Zhang

ECCV 2018 PSANet: Point-Wise Spatial Attention Network for Scene Parsing Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

NeurIPS 2018 Spectral Filtering for General Linear Dynamical Systems Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang

ICML 2018 Stronger Generalization Bounds for Deep Nets via a Compression Approach Sanjeev Arora, Rong Ge, Behnam Neyshabur, Yi Zhang

IJCAI 2017 Entity Suggestion with Conceptual Expanation Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang

ICML 2017 Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang

AAAI 2017 Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang

AAAI 2017 On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu

IJCAI 2017 Towards Understanding the Invertibility of Convolutional Neural Networks Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee

IJCAI 2016 Learning Defining Features for Categories Bo Xu, Chenhao Xie, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang

NeurIPS 2015 Deep Visual Analogy-Making Scott E Reed, Yi Zhang, Yuting Zhang, Honglak Lee

CVPR 2015 Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration Mi Zhang, Jian Yao, Menghan Xia, Kai Li, Yi Zhang, Yaping Liu

WACV 2015 Online Visual Tracking Using Temporally Coherent Part Cluster Wenbo Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li

CVPR 2013 Blur Processing Using Double Discrete Wavelet Transform Yi Zhang, Keigo Hirakawa

IJCAI 2013 Manifold Alignment Based on Sparse Local Structures of More Corresponding Pairs Xiaojie Li, Jiancheng Lv, Yi Zhang

AISTATS 2012 A Composite Likelihood View for Multi-Label Classification Yi Zhang, Jeff Schneider

ICML 2012 Maximum Margin Output Coding Yi Zhang, Jeff G. Schneider

AISTATS 2011 Multi-Label Output Codes Using Canonical Correlation Analysis Yi Zhang, Jeff Schneider

ECML-PKDD 2011 iDVS: An Interactive Multi-Document Visual Summarization System Yi Zhang, Dingding Wang, Tao Li

NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty Yi Zhang, Jeff G. Schneider

AAAI 2010 Multi-Task Active Learning with Output Constraints Yi Zhang

ICML 2010 Projection Penalties: Dimension Reduction Without Loss Yi Zhang, Jeff G. Schneider

IJCAI 2009 Smart PCA Yi Zhang

NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text Yi Zhang, Artur Dubrawski, Jeff G. Schneider

IJCAI 2007 Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning Yi Zhang, Xiaoming Jin

JMLR 2006 Ensemble Pruning via Semi-Definite Programming Yi Zhang, Samuel Burer, W. Nick Street

ICML 2003 Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning Yi Zhang, Wei Xu, James P. Callan