Ye, Jieping

139 publications

NeurIPS 2025 Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Kongcheng Zhang, Qi Yao, Shunyu Liu, Yingjie Wang, Baisheng Lai, Jieping Ye, Mingli Song, Dacheng Tao

NeurIPS 2025 Controlling Thinking Speed in Reasoning Models Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye

ICLR 2025 Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye

NeurIPS 2025 EchoShot: Multi-Shot Portrait Video Generation Jiahao Wang, Hualian Sheng, Sijia Cai, Weizhan Zhang, Caixia Yan, Yachuang Feng, Bing Deng, Jieping Ye

AAAI 2025 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye

CVPR 2025 Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang

CVPR 2025 HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting Jingyu Lin, Jiaqi Gu, Lubin Fan, Bojian Wu, Yujing Lou, Renjie Chen, Ligang Liu, Jieping Ye

CVPRW 2025 IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu

ICLR 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye

ICLR 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

NeurIPS 2025 Knowledge-Based Visual Question Answer with Multimodal Processing, Retrieval and Filtering Yuyang Hong, Jiaqi Gu, Qi Yang, Lubin Fan, Yue Wu, Ying Wang, Kun Ding, Shiming Xiang, Jieping Ye

ICLR 2025 Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye

ICCV 2025 PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model Jinhua Zhang, Hualian Sheng, Sijia Cai, Bing Deng, Qiao Liang, Wen Li, Ying Fu, Jieping Ye, Shuhang Gu

ICML 2025 ROPO: Robust Preference Optimization for Large Language Models Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

ICLR 2025 ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye

ICML 2025 Re-Ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang

NeurIPS 2025 SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models Pingyi Chen, Yujing Lou, Shen Cao, Jinhui Guo, Lubin Fan, Yue Wu, Lin Yang, Lizhuang Ma, Jieping Ye

NeurIPS 2025 TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye

ICML 2024 A3S: A General Active Clustering Method with Pairwise Constraints Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang

ECCV 2024 AddressCLIP: Empowering Vision-Language Models for City-Wide Image Address Localization Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye

ICLR 2024 Boosting Vanilla Lightweight Vision Transformers via Re-Parameterization Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye

NeurIPS 2024 Bridge-if: Learning Inverse Protein Folding with Markov Bridges Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu

NeurIPS 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

ICML 2024 Discrete Latent Perspective Learning for Segmentation and Detection Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye

ICML 2024 Efficient Denoising Diffusion via Probabilistic Masking Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen

CVPR 2024 Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye

NeurIPS 2024 Enhancing LLM’s Cognition via Structurization Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

NeurIPS 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye

ICML 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

ICLR 2024 Graph-Constrained Diffusion for End-to-End Path Planning Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye

ICLR 2024 INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye

NeurIPS 2024 Instance-Adaptive Zero-Shot Chain-of-Thought Prompting Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye

ICML 2024 Interpreting and Improving Large Language Models in Arithmetic Calculation Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-Ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye

CVPR 2024 LLaFS: When Large Language Models Meet Few-Shot Segmentation Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu

ECCV 2024 Learning Neural Volumetric Pose Features for Camera Localization Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye

NeurIPS 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong

NeurIPS 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye

ECCV 2024 RoScenes: A Large-Scale Multi-View 3D Dataset for Roadside Perception Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye

NeurIPS 2023 Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye

NeurIPS 2023 OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye

NeurIPS 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye

CVPR 2023 Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye

CVPR 2023 Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye

ICCV 2023 Uncertainty-Aware Unsupervised Multi-Object Tracking Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye

NeurIPS 2021 Offline Model-Based Adaptable Policy Learning Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei Qin, Wenjie Shang, Jieping Ye

ICML 2021 On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang

MLJ 2021 Partially Observable Environment Estimation with Uplift Inference for Reinforcement Learning Based Recommendation Wenjie Shang, Qingyang Li, Zhiwei Qin, Yang Yu, Yiping Meng, Jieping Ye

ICML 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang

ECCV 2020 Adaptive Object Detection with Dual Multi-Label Prediction Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

AAAI 2020 An Attention-Based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye

AAAI 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye

ECCVW 2020 Bi-Dimensional Feature Alignment for Cross-Domain Object Detection Zhen Zhao, Yuhong Guo, Jieping Ye

NeurIPS 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye

NeurIPS 2020 Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang

ICCVW 2019 DBUS: Human Driving Behavior Understanding System Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu

IJCAI 2019 Deep Multi-Task Learning with Adversarial-and-Cooperative Nets Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He

AAAI 2019 Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie

JMLR 2019 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

AAAI 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu

JMLR 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets Jie Wang, Zhanqiu Zhang, Jieping Ye

AAAI 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin

AAAI 2018 Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li

AAAI 2018 Margin Based PU Learning Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin

ICML 2017 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

NeurIPS 2016 A Non-Convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing Ming Lin, Jieping Ye

IJCAI 2016 Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye

ICML 2015 A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis Pinghua Gong, Jieping Ye

NeurIPS 2015 HONOR: Hybrid Optimization for NOn-Convex Regularized Problems Pinghua Gong, Jieping Ye

JMLR 2015 Lasso Screening Rules via Dual Polytope Projection Jie Wang, Peter Wonka, Jieping Ye

NeurIPS 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection Jie Wang, Jieping Ye

ICML 2015 Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices Jie Wang, Jieping Ye

JMLR 2015 Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition Qi Yan, Jieping Ye, Xiaotong Shen

ICML 2014 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye

NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye

ICML 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over a Cardinality Constraint Ji Liu, Jieping Ye, Ryohei Fujimaki

ICML 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye

ICML 2014 Rank-One Matrix Pursuit for Matrix Completion Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye

ICML 2014 Safe Screening with Variational Inequalities and Its Application to Lasso Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye

ICML 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction Jie Wang, Peter Wonka, Jieping Ye

NeurIPS 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets Jie Wang, Jieping Ye

ICML 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-Convex Regularized Optimization Problems Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye

IJCAI 2013 Active Learning from Relative Queries Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson

ICML 2013 Efficient Sparse Group Feature Selection via Nonconvex Optimization Shuo Xiang, Xiaoshen Tong, Jieping Ye

ICML 2013 Guaranteed Sparse Recovery Under Linear Transformation Ji Liu, Lei Yuan, Jieping Ye

ICML 2013 Joint Transfer and Batch-Mode Active Learning Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye

NeurIPS 2013 Lasso Screening Rules via Dual Polytope Projection Jie Wang, Jiayu Zhou, Peter Wonka, Jieping Ye

JMLR 2013 Multi-Stage Multi-Task Feature Learning Pinghua Gong, Jieping Ye, Changshui Zhang

JMLR 2012 A Multi-Stage Framework for Dantzig Selector and LASSO Ji Liu, Peter Wonka, Jieping Ye

NeurIPS 2012 Generalization Bounds for Domain Adaptation Chao Zhang, Lei Zhang, Jieping Ye

CVPR 2012 Matrix Completion by Truncated Nuclear Norm Regularization Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He

NeurIPS 2012 Multi-Stage Multi-Task Feature Learning Pinghua Gong, Jieping Ye, Chang-shui Zhang

NeurIPS 2012 Multi-Task Vector Field Learning Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He

NeurIPS 2011 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye

NeurIPS 2011 Clustered Multi-Task Learning via Alternating Structure Optimization Jiayu Zhou, Jianhui Chen, Jieping Ye

NeurIPS 2011 Efficient Methods for Overlapping Group Lasso Lei Yuan, Jun Liu, Jieping Ye

NeurIPS 2011 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data Using Sparse Composite Linear Discrimination Analysis Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman

NeurIPS 2011 Projection onto a Nonnegative Max-Heap Jun Liu, Liang Sun, Jieping Ye

NeurIPS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning Jun Liu, Jieping Ye

NeurIPS 2010 Multi-Stage Dantzig Selector Ji Liu, Peter Wonka, Jieping Ye

ICML 2009 A Convex Formulation for Learning Shared Structures from Multiple Tasks Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye

ICML 2009 A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning Liang Sun, Shuiwang Ji, Jieping Ye

ICML 2009 An Accelerated Gradient Method for Trace Norm Minimization Shuiwang Ji, Jieping Ye

IJCAI 2009 DrosophilaGene Expression Pattern Annotation Through Multi-Instance Multi-Label Learning Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou

ICML 2009 Efficient Euclidean Projections in Linear Time Jun Liu, Jieping Ye

NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye

NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye

IJCAI 2009 Learning the Optimal Neighborhood Kernel for Classification Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye

IJCAI 2009 Linear Dimensionality Reduction for Multi-Label Classification Shuiwang Ji, Jieping Ye

UAI 2009 Multi-Task Feature Learning via Efficient L2, 1-Norm Minimization Jun Liu, Shuiwang Ji, Jieping Ye

IJCAI 2009 Multiclass Probabilistic Kernel Discriminant Analysis Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye

ICML 2009 Non-Monotonic Feature Selection Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King

IJCAI 2009 On Multiple Kernel Learning with Multiple Labels Lei Tang, Jianhui Chen, Jieping Ye

IJCAI 2009 On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye

ICML 2009 Online Learning by Ellipsoid Method Liu Yang, Rong Jin, Jieping Ye

ICCV 2009 Tensor Completion for Estimating Missing Values in Visual Data Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye

ICML 2008 A Least Squares Formulation for Canonical Correlation Analysis Liang Sun, Shuiwang Ji, Jieping Ye

CVPR 2008 A Unified Framework for Generalized Linear Discriminant Analysis Shuiwang Ji, Jieping Ye

JMLR 2008 Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion Jieping Ye

JMLR 2008 Multi-Class Discriminant Kernel Learning via Convex Programming Jieping Ye, Shuiwang Ji, Jianhui Chen

NeurIPS 2008 Multi-Label Multiple Kernel Learning Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye

ICML 2008 Training SVM with Indefinite Kernels Jianhui Chen, Jieping Ye

CVPR 2007 Adaptive Distance Metric Learning for Clustering Jieping Ye, Zheng Zhao, Huan Liu

CVPR 2007 Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan

ICML 2007 Discriminant Kernel and Regularization Parameter Learning via Semidefinite Programming Jieping Ye, Jianhui Chen, Shuiwang Ji

NeurIPS 2007 Discriminative K-Means for Clustering Jieping Ye, Zheng Zhao, Mingrui Wu

CVPR 2007 Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction Jianhui Chen, Jieping Ye, Qi Li

ICML 2007 Least Squares Linear Discriminant Analysis Jieping Ye

AISTATS 2007 SVM Versus Least Squares SVM Jieping Ye, Tao Xiong

JMLR 2006 Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis Jieping Ye, Tao Xiong

CVPRW 2006 Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction Qi Li, Chandra Kambhamettu, Jieping Ye

CVPR 2006 Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach Tao Xiong, Jieping Ye, Vladimir Cherkassky

ICML 2006 Null Space Versus Orthogonal Linear Discriminant Analysis Jieping Ye, Tao Xiong

JMLR 2005 Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems Jieping Ye

MLJ 2005 Generalized Low Rank Approximations of Matrices Jieping Ye

NeurIPS 2004 Efficient Kernel Discriminant Analysis via QR Decomposition Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky

ICML 2004 Feature Extraction via Generalized Uncorrelated Linear Discriminant Analysis Jieping Ye, Ravi Janardan, Qi Li, Haesun Park

ICML 2004 Generalized Low Rank Approximations of Matrices Jieping Ye

CVPR 2004 Linear Projection Methods in Face Recognition Under Unconstrained Illuminations: A Comparative Study Qi Li, Jieping Ye, Chandra Kambhamettu

NeurIPS 2004 Two-Dimensional Linear Discriminant Analysis Jieping Ye, Ravi Janardan, Qi Li