ML Anthology

Li, Ping

196 publications

COLT 2025 Alternating Regret for Online Convex Optimization Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
ICLR 2025 Beware of Calibration Data for Pruning Large Language Models Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang
ICCV 2025 Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection Ji Du, Xin Wang, Fangwei Hao, Mingyang Yu, Chunyuan Chen, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li
NeurIPS 2025 Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
ICLR 2025 GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks Shuhan Song, Ping Li, Ming Dun, Maolei Huang, Huawei Cao, Xiaochun Ye
ICML 2025 Investigating the Overlooked Hessian Structure: From CNNs to LLMs Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie
ICCV 2025 NoiseController: Towards Consistent Multi-View Video Generation via Noise Decomposition and Collaboration Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo
CVPR 2025 Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection Ji Du, Fangwei Hao, Mingyang Yu, Desheng Kong, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li
ICLR 2025 Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees Yingzhen Yang, Ping Li
ICLRW 2025 SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality Duy Cao Hoang, Thanh Quoc Hung Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D Doan
IJCAI 2025 Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition Ping Li, Jianan Ni, Bo Pang
ICLR 2025 Toward Generalizing Visual Brain Decoding to Unseen Subjects Xiangtao Kong, Kexin Huang, Ping Li, Lei Zhang
JMLR 2024 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation Yang Liu, Yifan Zhou, Ping Li, Feifang Hu
ACML 2024 Differentially Private Deep Learning with Importance-Based Adaptive Gradient Processing Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang
ICML 2024 High-Order Contrastive Learning with Fine-Grained Comparative Levels for Sparse Ordinal Tensor Completion Yu Dai, Junchen Shen, Zijie Zhai, Danlin Liu, Jingyang Chen, Yu Sun, Ping Li, Jie Zhang, Kai Zhang
UAI 2024 Last-Iterate Convergence Separation Between Extra-Gradient and Optimism in Constrained Periodic Games Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang
ICLRW 2024 Posterior Probability-Based Label Recovery Attack in Federated Learning Rui Zhang, Song Guo, Ping Li
CVPR 2024 Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai
ICLR 2024 Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang, Ping Li, Xiaoyun Li
ECCV 2024 Two-Stage Video Shadow Detection via Temporal-Spatial Adaption Xin Duan, Yu Cao, Lei Zhu, Gang Fu, Xin Wang, Renjie Zhang, Ping Li
ICML 2024 Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach Yancheng Wang, Ping Li, Yingzhen Yang
NeurIPS 2024 Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li
NeurIPS 2023 $l_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting Xiaotong Yuan, Ping Li
AAAI 2023 A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
ICML 2023 A/B Testing in Network Data with Covariate-Adaptive Randomization Jialu Wang, Ping Li, Feifang Hu
ICML 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation Xiaoyun Li, Ping Li
ICCV 2023 CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin
AAAI 2023 CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning Yang Zhao, Jianwen Xie, Ping Li
UAI 2023 Copula for Instance-Wise Feature Selection and Rank Hanyu Peng, Guanhua Fang, Ping Li
ICLR 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li
AAAI 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
IJCAI 2023 Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
WACV 2023 Dynamic Re-Weighting for Long-Tailed Semi-Supervised Learning Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li
ICLR 2023 Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms Xiaotong Yuan, Ping Li
UAI 2023 Fed-LAMB: Layer-Wise and Dimension-Wise Locally Adaptive Federated Learning Belhal Karimi, Ping Li, Xiaoyun Li
UAI 2023 Greed Is Good: Correspondence Recovery for Unlabeled Linear Regression Hang Zhang, Ping Li
AISTATS 2023 Improved Bound on Generalization Error of Compressed KNN Estimator Hang Zhang, Ping Li
ICLR 2023 Improved Convergence of Differential Private SGD with Gradient Clipping Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li
NeurIPS 2023 K-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy Chenglin Fan, Ping Li, Xiaoyun Li
ICML 2023 LSDS++ : Dual Sampling for Accelerated K-Means++ Chenglin Fan, Ping Li, Xiaoyun Li
WACV 2023 Learning Latent Structural Relations with Message Passing Prior Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li
AISTATS 2023 Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Yaxuan Zhu, Jianwen Xie, Ping Li
NeurIPS 2023 On the Last-Iterate Convergence in Time-Varying Zero-Sum Games: Extra Gradient Succeeds Where Optimism Fails Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang
NeurIPS 2023 On the Overlooked Structure of Stochastic Gradients Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li
ICML 2023 One-Step Estimator for Permuted Sparse Recovery Hang Zhang, Ping Li
AISTATS 2023 Piecewise Stationary Bandits Under Risk Criteria Sujay Bhatt, Guanhua Fang, Ping Li
ICLR 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property Yingzhen Yang, Ping Li
MLJ 2023 Reconciling Privacy and Utility: An Unscented Kalman Filter-Based Framework for Differentially Private Machine Learning Kunsheng Tang, Ping Li, Yide Song, Tian Luo
ICML 2023 Regression with Label Permutation in Generalized Linear Model Guanhua Fang, Ping Li
JMLR 2023 Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan, Ping Li
NeurIPS 2023 Smooth Flipping Probability for Differential Private Sign Random Projection Methods Ping Li, Xiaoyun Li
ICCV 2023 Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data Gang Fu, Qing Zhang, Lei Zhu, Chunxia Xiao, Ping Li
ALT 2023 Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions Fan Zhou, Ping Li, Cun-Hui Zhang
ACML 2023 Unleashing the Power of High-Pass Filtering in Continuous Graph Neural Networks Acong Zhang, Ping Li
AISTATS 2022 Adaptive A/B Test on Networks with Cluster Structures Yang Liu, Yifan Zhou, Ping Li, Feifang Hu
ICLR 2022 A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
ICML 2022 C-MinHash: Improving Minwise Hashing with Circulant Permutation Xiaoyun Li, Ping Li
WACV 2022 Calibrating CNNs for Few-Shot Meta Learning Peng Yang, Shaogang Ren, Yang Zhao, Ping Li
ICLR 2022 Constructing Orthogonal Convolutions in an Explicit Manner Tan Yu, Jun Li, Yunfeng Cai, Ping Li
AAAI 2022 DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li
ICLR 2022 Discriminative Similarity for Data Clustering Yingzhen Yang, Ping Li
AAAI 2022 Efficient Compact Bilinear Pooling via Kronecker Product Tan Yu, Yunfeng Cai, Ping Li
ALT 2022 Faster Noisy Power Method Zhiqiang Xu, Ping Li
NeurIPS 2022 Generative Status Estimation and Information Decoupling for Image Rain Removal Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li
AAAI 2022 Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng
IJCAI 2022 Learning Cluster Causal Diagrams: An Information-Theoretic Approach Xueyan Niu, Xiaoyun Li, Ping Li
CVPR 2022 MISF: Multi-Level Interactive Siamese Filtering for High-Fidelity Image Inpainting Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang
NeurIPS 2022 Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D Doan, Yingjie Lao, Ping Li
ICML 2022 Minimax M-Estimation Under Adversarial Contamination Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky
ALT 2022 Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li
ICML 2022 Nearly Optimal Catoni’s M-Estimator for Infinite Variance Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky
UAI 2022 Noisy L0-Sparse Subspace Clustering on Dimensionality Reduced Data Yingzhen Yang, Ping Li
ACML 2022 Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm You-Lin Chen, Zhiqiang Xu, Ping Li
UAI 2022 Offline Change Detection Under Contamination Sujay Bhatt, Guanhua Fang, Ping Li
NeurIPS 2022 On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-Smoothness and Beyond Xiaotong Yuan, Ping Li
ICLR 2022 On Distributed Adaptive Optimization with Gradient Compression Xiaoyun Li, Belhal Karimi, Ping Li
ACML 2022 On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
CVPR 2022 One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching Khoa D. Doan, Peng Yang, Ping Li
ICLR 2022 Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix Hanyu Peng, Mingming Sun, Ping Li
NeurIPS 2022 Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate Chenglin Fan, Ping Li, Xiaoyun Li
WACV 2022 S2-MLP: Spatial-Shift MLP Architecture for Vision Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
NeurIPS 2022 SignRFF: Sign Random Fourier Features Xiaoyun Li, Ping Li
AISTATS 2021 Identification of Matrix Joint Block Diagonalization Yunfeng Cai, Ping Li
AISTATS 2021 On the Faster Alternating Least-Squares for CCA Zhiqiang Xu, Ping Li
AISTATS 2021 One-Sketch-for-All: Non-Linear Random Features from Compressed Linear Measurements Xiaoyun Li, Ping Li
AISTATS 2021 Principal Subspace Estimation Under Information Diffusion Fan Zhou, Ping Li, Zhixin Zhou
AISTATS 2021 Stability and Risk Bounds of Iterative Hard Thresholding Xiaotong Yuan, Ping Li
AAAI 2021 A Blind Block Term Decomposition of High Order Tensors Yunfeng Cai, Ping Li
NeurIPS 2021 A Comprehensively Tight Analysis of Gradient Descent for PCA Zhiqiang Xu, Ping Li
CVPR 2021 A Multi-Task Network for Joint Specular Highlight Detection and Removal Gang Fu, Qing Zhang, Lei Zhu, Ping Li, Chunxia Xiao
NeurIPS 2021 A Note on Sparse Generalized Eigenvalue Problem Yunfeng Cai, Guanhua Fang, Ping Li
ACML 2021 An Optimistic Acceleration of AMSGrad for Nonconvex Optimization Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li
NeurIPS 2021 Backdoor Attack with Imperceptible Input and Latent Modification Khoa Doan, Yingjie Lao, Ping Li
UAI 2021 Efficient Greedy Coordinate Descent via Variable Partitioning Huang Fang, Guanhua Fang, Tan Yu, Ping Li
AAAI 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin Tan Yu, Xiaoyun Li, Ping Li
ICCV 2021 LIRA: Learnable, Imperceptible and Robust Backdoor Attacks Khoa Doan, Yingjie Lao, Weijie Zhao, Ping Li
CVPR 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference with Optimal Transport Correction Dongsheng An, Jianwen Xie, Ping Li
ICLR 2021 Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling Yang Zhao, Jianwen Xie, Ping Li
AAAI 2021 Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler Jianwen Xie, Zilong Zheng, Ping Li
NeurIPS 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
NeurIPS 2021 Mitigating Forgetting in Online Continual Learning with Neuron Calibration Haiyan Yin, Peng Yang, Ping Li
ICML 2021 On Estimation in Latent Variable Models Guanhua Fang, Ping Li
ICML 2021 On Variational Inference in Biclustering Models Guanhua Fang, Ping Li
JMLR 2021 On the Riemannian Search for Eigenvector Computation Zhiqiang Xu, Ping Li
ICML 2021 Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations Fan Zhou, Ping Li
CVPR 2021 Patchwise Generative ConvNet: Training Energy-Based Models from a Single Natural Image for Internal Learning Zilong Zheng, Jianwen Xie, Ping Li
ICML 2021 Quantization Algorithms for Random Fourier Features Xiaoyun Li, Ping Li
NeurIPS 2021 Rate-Optimal Subspace Estimation on Random Graphs Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang
AAAI 2021 Rejection Sampling for Weighted Jaccard Similarity Revisited Xiaoyun Li, Ping Li
ICCV 2021 Robust Watermarking for Deep Neural Networks via Bi-Level Optimization Peng Yang, Yingjie Lao, Ping Li
ICCV 2021 Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion Qinghao Ye, Xiyue Shen, Yuan Gao, Zirui Wang, Qi Bi, Ping Li, Guang Yang
UAI 2020 A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace Zhiqiang Xu, Ping Li
AISTATS 2020 Adaptive Online Kernel Sampling for Vertex Classification Peng Yang, Ping Li
AISTATS 2020 An Inverse-Free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem Yunfeng Cai, Ping Li
COLT 2020 Bessel Smoothing and Multi-Distribution Property Estimation Yi Hao, Ping Li
AAAI 2020 Distributed Primal-Dual Optimization for Online Multi-Task Learning Peng Yang, Ping Li
AAAI 2020 IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation Xiaoyun Li, Chengxi Wu, Ping Li
AAAI 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
COLT 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding Xiao-Tong Yuan, Ping Li
JMLR 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Xiao-Tong Yuan, Ping Li
ICML 2020 Optimal Estimator for Unlabeled Linear Regression Hang Zhang, Ping Li
NeurIPS 2020 Optimal Prediction of the Number of Unseen Species with Multiplicity Yi Hao, Ping Li
ICLR 2020 Optimistic Adaptive Acceleration for Optimization Jun-Kun Wang, Xiaoyun Li, Ping Li
NeurIPS 2020 RANet: Region Attention Network for Semantic Segmentation Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin
NeurIPS 2020 Ratio Trace Formulation of Wasserstein Discriminant Analysis Hexuan Liu, Yunfeng Cai, You-Lin Chen, Ping Li
AISTATS 2020 Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations Yunfeng Cai, Ping Li
NeurIPS 2020 Thunder: A Fast Coordinate Selection Solver for Sparse Learning Shaogang Ren, Weijie Zhao, Ping Li
ECCV 2020 Toward Faster and Simpler Matrix Normalization via Rank-1 Update Tan Yu, Yunfeng Cai, Ping Li
NeurIPS 2020 Towards Better Generalization of Adaptive Gradient Methods Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li
JMLR 2020 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data Martin Slawski, Emanuel Ben-David, Ping Li
UAI 2019 A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels Martin Slawski, Mostafa Rahmani, Ping Li
IJCAI 2019 Coreference Aware Representation Learning for Neural Named Entity Recognition Zeyu Dai, Hongliang Fei, Ping Li
AAAI 2019 Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng
NeurIPS 2019 Generalization Error Analysis of Quantized Compressive Learning Xiaoyun Li, Ping Li
AISTATS 2019 Graph to Graph: A Topology Aware Approach for Graph Structures Learning and Generation Mingming Sun, Ping Li
AAAI 2019 Multi-Agent Discussion Mechanism for Natural Language Generation Xu Li, Mingming Sun, Ping Li
NeurIPS 2019 Möbius Transformation for Fast Inner Product Search on Graph Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li
ICLR 2019 On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training Ping Li, Phan-Minh Nguyen
NeurIPS 2019 Outlier Detection and Robust PCA Using a Convex Measure of Innovation Mostafa Rahmani, Ping Li
NeurIPS 2019 Random Projections with Asymmetric Quantization Xiaoyun Li, Ping Li
NeurIPS 2019 Re-Randomized Densification for One Permutation Hashing and Bin-Wise Consistent Weighted Sampling Ping Li, Xiaoyun Li, Cun-Hui Zhang
AISTATS 2019 Robust Matrix Completion from Quantized Observations Jie Shen, Pranjal Awasthi, Ping Li
AAAI 2019 Sign-Full Random Projections Ping Li
NeurIPS 2019 Towards Practical Alternating Least-Squares for CCA Zhiqiang Xu, Ping Li
ACML 2018 Feature-Correlation-Aware Gaussian Process Latent Variable Model Ping Li, Songcan Chen
ICML 2018 Provable Variable Selection for Streaming Features Jing Wang, Jie Shen, Ping Li
AISTATS 2017 Binary and Multi-Bit Coding for Stable Random Projections Ping Li
ICML 2017 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit Jie Shen, Ping Li
MLJ 2017 Online Optimization for Max-Norm Regularization Jie Shen, Huan Xu, Ping Li
IJCAI 2017 Online Robust Low-Rank Tensor Learning Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan
NeurIPS 2017 Partial Hard Thresholding: Towards a Principled Analysis of Support Recovery Jie Shen, Ping Li
NeurIPS 2017 Simple Strategies for Recovering Inner Products from Coarsely Quantized Random Projections Ping Li, Martin Slawski
NeurIPS 2016 Exact Recovery of Hard Thresholding Pursuit Xiaotong Yuan, Ping Li, Tong Zhang
NeurIPS 2016 Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-Norm Regularized M-Estimation Xiaotong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu
AISTATS 2016 Learning Structured Low-Rank Representation via Matrix Factorization Jie Shen, Ping Li
AISTATS 2016 One Scan 1-Bit Compressed Sensing Ping Li
ICML 2016 Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit Jie Shen, Ping Li, Huan Xu
NeurIPS 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity Ping Li, Michael Mitzenmacher, Martin Slawski
ICML 2015 Adaptive Stochastic Alternating Direction Method of Multipliers Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li
NeurIPS 2015 B-Bit Marginal Regression Martin Slawski, Ping Li
AISTATS 2015 Compressed Sensing with Very Sparse Gaussian Random Projections Ping Li, Cun-Hui Zhang
UAI 2015 Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS) Anshumali Shrivastava, Ping Li
NeurIPS 2015 Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices Martin Slawski, Ping Li, Matthias Hein
AAAI 2015 Tensor-Based Learning for Predicting Stock Movements Qing Li, LiLing Jiang, Ping Li, Hsinchun Chen
NeurIPS 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) Anshumali Shrivastava, Ping Li
UAI 2014 CoRE Kernels Ping Li
ICML 2014 Coding for Random Projections Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
COLT 2014 Compressed Counting Meets Compressed Sensing Ping Li, Cun-Hui Zhang, Tong Zhang
ICML 2014 Densifying One Permutation Hashing via Rotation for Fast near Neighbor Search Anshumali Shrivastava, Ping Li
ICML 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization Xiaotong Yuan, Ping Li, Tong Zhang
UAI 2014 Improved Densification of One Permutation Hashing Anshumali Shrivastava, Ping Li
AISTATS 2014 In Defense of Minhash over Simhash Anshumali Shrivastava, Ping Li
NeurIPS 2014 Online Optimization for Max-Norm Regularization Jie Shen, Huan Xu, Ping Li
NeurIPS 2014 Recovery of Coherent Data via Low-Rank Dictionary Pursuit Guangcan Liu, Ping Li
ECCV 2014 Sparse Additive Subspace Clustering Xiao-Tong Yuan, Ping Li
NeurIPS 2013 Beyond Pairwise: Provably Fast Algorithms for Approximate $k$-Way Similarity Search Anshumali Shrivastava, Ping Li
NeurIPS 2013 Sign Cauchy Projections and Chi-Square Kernel Ping Li, Gennady Samorodnitsk, John Hopcroft
NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections Ping Li, Cun-hui Zhang
ECML-PKDD 2012 Fast near Neighbor Search in High-Dimensional Binary Data Anshumali Shrivastava, Ping Li
NeurIPS 2012 One Permutation Hashing Ping Li, Art Owen, Cun-hui Zhang
AISTATS 2012 Testing for Membership to the IFRA and the NBU Classes of Distributions Radhendushka Srivastava, Ping Li, Debasis Sengupta
COLT 2011 A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data Ping Li, Cun-Hui Zhang
NeurIPS 2011 Hashing Algorithms for Large-Scale Learning Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd C. König
UAI 2010 Approximating Higher-Order Distances Using Random Projections Ping Li, Michael W. Mahoney, Yiyuan She
NeurIPS 2010 B-Bit Minwise Hashing for Estimating Three-Way Similarities Ping Li, Arnd Konig, Wenhao Gui
MLJ 2010 Guest Editorial: Special Issue on Learning Theory Sham M. Kakade, Ping Li
UAI 2010 Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost Ping Li
ICML 2009 ABC-Boost: Adaptive Base Class Boost for Multi-Class Classification Ping Li
UAI 2009 Improving Compressed Counting Ping Li
NeurIPS 2008 One Sketch for All: Theory and Application of Conditional Random Sampling Ping Li, Kenneth W. Church, Trevor J. Hastie
NeurIPS 2007 A Unified Near-Optimal Estimator for Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections Ping Li, Trevor J. Hastie
NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li, Qiang Wu, Christopher J. Burges
COLT 2007 Nonlinear Estimators and Tail Bounds for Dimension Reduction in L 1 Using Cauchy Random Projections Ping Li, Trevor Hastie, Kenneth Ward Church
JMLR 2007 Nonlinear Estimators and Tail Bounds for Dimension Reduction in L1 Using Cauchy Random Projections Ping Li, Trevor J. Hastie, Kenneth W. Church
NeurIPS 2006 Conditional Random Sampling: A Sketch-Based Sampling Technique for Sparse Data Ping Li, Kenneth W. Church, Trevor J. Hastie
COLT 2006 Improving Random Projections Using Marginal Information Ping Li, Trevor Hastie, Kenneth Ward Church