Ping Li - RankMe

514 papers A* 143A 79B 21C 5Misc 6Journal 200Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality. EACL (Findings) Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan
2025	A*	`conf`	Investigating the Overlooked Hessian Structure: From CNNs to LLMs. ICML Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie
2025	Misc	`conf`	Learning from Ambiguous Data with Hard Labels. ICASSP Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li
2025	J	`jnl`	Learning from Ambiguous Data with Hard Labels. CoRR Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li
2025	J	`jnl`	On Penalization in Stochastic Multi-Armed Bandits. IEEE Trans. Inf. Theory Guanhua Fang, Ping Li, Gennady Samorodnitsky
2025	A*	`conf`	Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. ICLR Yingzhen Yang, Ping Li
2024	J	`jnl`	Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. J. Mach. Learn. Res. Yang Liu, Yifan Zhou, Ping Li, Feifang Hu
2024	A*	`conf`	GUITAR: Gradient Pruning toward Fast Neural Ranking. SIGIR Weijie Zhao, Shulong Tan, Ping Li
2024	A	`conf`	Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. CIKM Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen
2024	J	`jnl`	Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. CoRR Miao Fan, Yeqi Bai, Mingming Sun, Ping Li
2024	J	`jnl`	Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan
2024	J	`jnl`	MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. CoRR Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li
2024	J	`jnl`	MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. CoRR Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang
2024	Misc	`conf`	Pb-Hash: Partitioned b-bit Hashing. ICTIR Ping Li, Weijie Zhao
2024	A*	`conf`	Stochastic Controlled Averaging for Federated Learning with Communication Compression. ICLR Xinmeng Huang, Ping Li, Xiaoyun Li
2024	A*	`conf`	Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. ICML Yancheng Wang, Ping Li, Yingzhen Yang
2024	A	`conf`	Word Embedding with Neural Probabilistic Prior. SDM Shaogang Ren, Dingcheng Li, Ping Li
2023	—	`conf`	A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. ACL (Findings) Ye Ma, Mingming Sun, Ping Li
2023	J	`jnl`	A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. CoRR Ye Ma, Mingming Sun, Ping Li
2023	A*	`conf`	A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
2023	J	`jnl`	A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
2023	A*	`conf`	A/B Testing in Network Data with Covariate-Adaptive Randomization. ICML Jialu Wang, Ping Li, Feifang Hu
2023	J	`jnl`	An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2023	A*	`conf`	Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation. ICML Xiaoyun Li, Ping Li
2023	A*	`conf`	Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
2023	J	`jnl`	Blockwise Feature Interaction in Recommendation Systems. CoRR Weijie Zhao, Ping Li
2023	A*	`conf`	Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li
2023	J	`jnl`	Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li
2023	A*	`conf`	CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. AAAI Yang Zhao, Jianwen Xie, Ping Li
2023	J	`jnl`	CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. CoRR Yang Zhao, Jianwen Xie, Ping Li
2023	A	`conf`	Copula for Instance-wise Feature Selection and Rank. UAI Hanyu Peng, Guanhua Fang, Ping Li
2023	A*	`conf`	Dataset Pruning: Reducing Training Data by Examining Generalization Influence. ICLR Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li
2023	A*	`conf`	Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
2023	—	`conf`	Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. ACL (Findings) Yue Zhang, Hongliang Fei, Ping Li
2023	J	`jnl`	Differential Privacy with Random Projections and Sign Random Projections. CoRR Ping Li, Xiaoyun Li
2023	J	`jnl`	Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling. CoRR Xiaoyun Li, Ping Li
2023	A	`conf`	Dynamic Re-weighting for Long-tailed Semi-supervised Learning. WACV Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li
2023	A*	`conf`	Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR Xiaotong Yuan, Ping Li
2023	J	`jnl`	Extreme Bandits Using Robust Statistics. IEEE Trans. Inf. Theory Sujay Bhatt, Ping Li, Gennady Samorodnitsky
2023	A	`conf`	Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. UAI Belhal Karimi, Ping Li, Xiaoyun Li
2023	J	`jnl`	GUITAR: Gradient Pruning toward Fast Neural Ranking. CoRR Weijie Zhao, Shulong Tan, Ping Li
2023	A	`conf`	Greed is good: correspondence recovery for unlabeled linear regression. UAI Hang Zhang, Ping Li
2023	A	`conf`	Improved Bound on Generalization Error of Compressed KNN Estimator. AISTATS Hang Zhang, Ping Li
2023	A*	`conf`	Improved Convergence of Differential Private SGD with Gradient Clipping. ICLR Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li
2023	A*	`conf`	L NeurIPS Xiaotong Yuan, Ping Li
2023	A*	`conf`	LSDS++ : Dual Sampling for Accelerated k-means++. ICML Chenglin Fan, Ping Li, Xiaoyun Li
2023	A	`conf`	Learning Latent Structural Relations with Message Passing Prior. WACV Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li
2023	A	`conf`	Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS Yaxuan Zhu, Jianwen Xie, Ping Li
2023	J	`jnl`	Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR Yaxuan Zhu, Jianwen Xie, Ping Li
2023	A*	`conf`	OPORP: One Permutation + One Random Projection. KDD Ping Li, Xiaoyun Li
2023	J	`jnl`	OPORP: One Permutation + One Random Projection. CoRR Ping Li, Xiaoyun Li
2023	A*	`conf`	On the Overlooked Structure of Stochastic Gradients. NeurIPS Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li
2023	A*	`conf`	One-Step Estimator for Permuted Sparse Recovery. ICML Hang Zhang, Ping Li
2023	J	`jnl`	Optimal Estimator for Linear Regression with Shuffled Labels. CoRR Hang Zhang, Ping Li
2023	J	`jnl`	Pb-Hash: Partitioned b-bit Hashing. CoRR Ping Li, Weijie Zhao
2023	A	`conf`	Piecewise Stationary Bandits under Risk Criteria. AISTATS Sujay Bhatt, Guanhua Fang, Ping Li
2023	A*	`conf`	Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR Dingcheng Li, Peng Yang, Yue Zhang, Ping Li
2023	J	`jnl`	Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. CoRR Ping Li, Weijie Zhao, Chao Wang, Qi Xia, Alice Wu, Lijun Peng
2023	A*	`conf`	Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. ICLR Yingzhen Yang, Ping Li
2023	J	`jnl`	Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix. CoRR Yunfeng Cai, Xu Li, Mingming Sun, Ping Li
2023	A*	`conf`	Regression with Label Permutation in Generalized Linear Model. ICML Guanhua Fang, Ping Li
2023	J	`jnl`	STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. CoRR Belhal Karimi, Jianwen Xie, Ping Li
2023	J	`jnl`	Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. CoRR Xiao-Tong Yuan, Ping Li
2023	J	`jnl`	Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. J. Mach. Learn. Res. Xiao-Tong Yuan, Ping Li
2023	A*	`conf`	Smooth Flipping Probability for Differential Private Sign Random Projection Methods. NeurIPS Ping Li, Xiaoyun Li
2023	J	`jnl`	Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. CoRR Hang Zhang, Ping Li
2023	J	`jnl`	The Phase Transition Phenomenon of Shuffled Regression. CoRR Hang Zhang, Ping Li
2023	B	`conf`	Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions. ALT Fan Zhou, Ping Li, Cun-Hui Zhang
2023	J	`jnl`	Word Embedding with Neural Probabilistic Prior. CoRR Shaogang Ren, Dingcheng Li, Ping Li
2023	A*	`conf`	k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. NeurIPS Chenglin Fan, Ping Li, Xiaoyun Li
2022	J	`jnl`	A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. CoRR Belhal Karimi, Ping Li
2022	A*	`conf`	A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
2022	J	`jnl`	A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
2022	A	`conf`	Adaptive A/B Test on Networks with Cluster Structures. AISTATS Yang Liu, Yifan Zhou, Ping Li, Feifang Hu
2022	J	`jnl`	An Energy-Based Prior for Generative Saliency. CoRR Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2022	J	`jnl`	Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression. CoRR Xiaoyun Li, Ping Li
2022	J	`jnl`	Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
2022	A	`conf`	BOAT: Bilateral Local Attention Vision Transformer. BMVC Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
2022	J	`jnl`	BOAT: Bilateral Local Attention Vision Transformer. CoRR Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
2022	B	`conf`	Boost CTR Prediction for New Advertisements via Modeling Visual Content. IEEE Big Data Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
2022	J	`jnl`	Boost CTR Prediction for New Advertisements via Modeling Visual Content. CoRR Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
2022	J	`jnl`	Boosting the Confidence of Generalization for L CoRR Xiao-Tong Yuan, Ping Li
2022	J	`jnl`	Breaking the Linear Error Barrier in Differentially Private Graph Distance Release. CoRR Chenglin Fan, Ping Li, Xiaoyun Li
2022	A*	`conf`	C-MinHash: Improving Minwise Hashing with Circulant Permutation. ICML Xiaoyun Li, Ping Li
2022	C	`conf`	CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoG Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li
2022	J	`jnl`	CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoRR Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li
2022	A	`conf`	Calibrating CNNs for Few-Shot Meta Learning. WACV Peng Yang, Shaogang Ren, Yang Zhao, Ping Li
2022	J	`jnl`	Catoni-style Confidence Sequences under Infinite Variance. CoRR Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky
2022	A*	`conf`	Causal Effect Prediction with Flow-based Inference. ICDM Shaogang Ren, Dingcheng Li, Ping Li
2022	J	`jnl`	Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
2022	J	`jnl`	Constrained Approximate Similarity Search on Proximity Graph. CoRR Weijie Zhao, Shulong Tan, Ping Li
2022	A*	`conf`	Constructing Orthogonal Convolutions in an Explicit Manner. ICLR Tan Yu, Jun Li, Yunfeng Cai, Ping Li
2022	B	`conf`	Continual Learning for Natural Language Generations with Transformer Calibration. CoNLL Peng Yang, Dingcheng Li, Ping Li
2022	J	`jnl`	CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li
2022	—	`conf`	Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval. NAACL-HLT (Findings) Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, Ping Li
2022	A*	`conf`	Cross-Probe BERT for Fast Cross-Modal Search. SIGIR Tan Yu, Hongliang Fei, Ping Li
2022	J	`jnl`	Dataset Pruning: Reducing Training Data by Examining Generalization Influence. CoRR Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li
2022	B	`conf`	Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. IEEE Big Data Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
2022	J	`jnl`	Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. CoRR Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
2022	A*	`conf`	DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li
2022	J	`jnl`	Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li
2022	J	`jnl`	Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations. CoRR Tan Yu, Ping Li
2022	J	`jnl`	Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. CoRR Yue Zhang, Hongliang Fei, Ping Li
2022	A*	`conf`	Discriminative Similarity for Data Clustering. ICLR Yingzhen Yang, Ping Li
2022	B	`conf`	Distances Release with Differential Privacy in Tree and Grid Graph. ISIT Chenglin Fan, Ping Li
2022	J	`jnl`	Distances Release with Differential Privacy in Tree and Grid Graph. CoRR Chenglin Fan, Ping Li
2022	A*	`conf`	EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. KDD Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
2022	A*	`conf`	Efficient Compact Bilinear Pooling via Kronecker Product. AAAI Tan Yu, Yunfeng Cai, Ping Li
2022	A*	`conf`	End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR Yue Zhang, Hongliang Fei, Ping Li
2022	B	`conf`	Enhanced Video BERT for Fast Video Advertisement Retrieval. IEEE Big Data Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, Ping Li
2022	A	`conf`	Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts. SDM Yue Zhang, Mingming Sun, Jingyuan Zhang, Ping Li
2022	J	`jnl`	Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR Ping Li, Weijie Zhao
2022	B	`conf`	Faster Noisy Power Method. ALT Zhiqiang Xu, Ping Li
2022	B	`conf`	Feature Fusion Network for Personalized Online Advertising Systems. IEEE Big Data Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li
2022	B	`conf`	FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. IEEE Big Data Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
2022	J	`jnl`	FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
2022	J	`jnl`	Finding Control Synthesis for Kinematic Shortest Paths. CoRR Weifu Wang, Ping Li
2022	A	`conf`	Flow-based Perturbation for Cause-effect Inference. CIKM Shaogang Ren, Ping Li
2022	A	`conf`	GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CIKM Ping Li, Weijie Zhao
2022	J	`jnl`	GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR Ping Li, Weijie Zhao
2022	A*	`conf`	Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li
2022	A*	`conf`	Integrity Authentication in Tree Models. KDD Weijie Zhao, Yingjie Lao, Ping Li
2022	J	`jnl`	Integrity Authentication in Tree Models. CoRR Weijie Zhao, Yingjie Lao, Ping Li
2022	J	`jnl`	Label-Smoothed Backdoor Attack. CoRR Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li
2022	A	`conf`	Latent Coreset Sampling based Data-Free Continual Learning. CIKM Zhuoyi Wang, Dingcheng Li, Ping Li
2022	A*	`conf`	Learning Cluster Causal Diagrams: An Information-Theoretic Approach. IJCAI Xueyan Niu, Xiaoyun Li, Ping Li
2022	—	`conf`	Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT Haiyan Yin, Dingcheng Li, Ping Li
2022	A*	`conf`	Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS Khoa D. Doan, Yingjie Lao, Ping Li
2022	J	`jnl`	Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR Khoa D. Doan, Yingjie Lao, Ping Li
2022	B	`conf`	Metric Nearness with Minimum Distortion: Optimal and Approximation. ITW Chenglin Fan, Ping Li
2022	A*	`conf`	Minimax M-estimation under Adversarial Contamination. ICML Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky
2022	B	`conf`	Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li
2022	—	`conf`	Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge. NAACL-HLT (Findings) Yue Feng, Zhen Han, Mingming Sun, Ping Li
2022	A	`conf`	Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. CIKM Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li
2022	—	`conf`	NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CNS Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li
2022	J	`jnl`	NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CoRR Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li
2022	A*	`conf`	Nearly Optimal Catoni's M-estimator for Infinite Variance. ICML Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky
2022	A	`conf`	Noisy L0-sparse subspace clustering on dimensionality reduced data. UAI Yingzhen Yang, Ping Li
2022	C	`conf`	Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. ACML You-Lin Chen, Zhiqiang Xu, Ping Li
2022	J	`jnl`	Noisy 𝓁 CoRR Yingzhen Yang, Ping Li
2022	—	`conf`	OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. ACL (1) Xin Wang, Minlong Peng, Mingming Sun, Ping Li
2022	A	`conf`	Offline change detection under contamination. UAI Sujay Bhatt, Guanhua Fang, Ping Li
2022	A*	`conf`	On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS Xiaotong Yuan, Ping Li
2022	J	`jnl`	On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. CoRR Xiao-Tong Yuan, Ping Li
2022	A*	`conf`	On Distributed Adaptive Optimization with Gradient Compression. ICLR Xiaoyun Li, Belhal Karimi, Ping Li
2022	J	`jnl`	On Distributed Adaptive Optimization with Gradient Compression. CoRR Xiaoyun Li, Belhal Karimi, Ping Li
2022	C	`conf`	On the Convergence of Decentralized Adaptive Gradient Methods. ACML Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
2022	J	`jnl`	On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. CoRR Zeke Xie, Qian-Yuan Tang, Yunfeng Cai, Mingming Sun, Ping Li
2022	A*	`conf`	One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR Khoa D. Doan, Peng Yang, Ping Li
2022	J	`jnl`	One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR Khoa D. Doan, Peng Yang, Ping Li
2022	A*	`conf`	Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix. ICLR Hanyu Peng, Mingming Sun, Ping Li
2022	J	`jnl`	Package for Fast ABC-Boost. CoRR Ping Li, Weijie Zhao
2022	B	`conf`	PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. IEEE Big Data Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
2022	J	`jnl`	Planning and Formulations in Pursuit-Evasion: Keep-away Games and Their Strategies. CoRR Weifu Wang, Ping Li
2022	J	`jnl`	Planning through Workspace Constraint Satisfaction and Optimization. CoRR Weifu Wang, Ping Li
2022	A*	`conf`	Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate. NeurIPS Chenglin Fan, Ping Li, Xiaoyun Li
2022	—	`conf`	PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li
2022	J	`jnl`	Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li
2022	J	`jnl`	Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li
2022	J	`jnl`	R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition. CoRR Shuo Chen, Tan Yu, Ping Li
2022	B	`conf`	Regret Analysis for RL using Renewal Bandit Feedback. ITW Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky
2022	J	`jnl`	Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence. CoRR Zeke Xie, Qian-Yuan Tang, Zheng He, Mingming Sun, Ping Li
2022	A	`conf`	S WACV Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
2022	B	`conf`	Sensitivity of Under-Determined Linear System. ISIT Yunfeng Cai, Guanhua Fang, Ping Li
2022	A	`conf`	Sensitivity-aware Distance Measurement for Boosting Metric Learning. SDM Haoliang Liu, Tan Yu, Ping Li
2022	A*	`conf`	SignRFF: Sign Random Fourier Features. NeurIPS Xiaoyun Li, Ping Li
2022	—	`conf`	SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. HT Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li
2022	J	`jnl`	SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. CoRR Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li
2022	J	`jnl`	Stability and Risk Bounds of Iterative Hard Thresholding. CoRR Xiao-Tong Yuan, Ping Li
2022	J	`jnl`	Stability and Risk Bounds of Iterative Hard Thresholding. IEEE Trans. Inf. Theory Xiao-Tong Yuan, Ping Li
2022	A	`conf`	Texture BERT for Cross-modal Texture Image Retrieval. CIKM Zelai Xu, Tan Yu, Ping Li
2022	J	`jnl`	The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors. IEEE Trans. Inf. Theory Hang Zhang, Martin Slawski, Ping Li
2022	J	`jnl`	Towards Constructing Finer then Homotopy Path Classes. CoRR Weifu Wang, Ping Li
2022	Misc	`conf`	Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li
2022	B	`conf`	Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. IEEE Big Data Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
2022	J	`jnl`	Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. CoRR Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
2022	Misc	`conf`	U-BERT for Fast and Scalable Text-Image Retrieval. ICTIR Tan Yu, Hongliang Fei, Ping Li
2022	A*	`conf`	Variational Flow Graphical Model. KDD Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
2022	J	`jnl`	Variational Flow Graphical Model. CoRR Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
2022	J	`jnl`	k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. CoRR Chenglin Fan, Ping Li, Xiaoyun Li
2022	J	`jnl`	pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR Ping Li, Weijie Zhao
2022	A	`conf`	℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. CIKM Ping Li, Xiaoyun Li, Gennady Samorodnitsky
2021	A*	`conf`	A Blind Block Term Decomposition of High Order Tensors. AAAI Yunfeng Cai, Ping Li
2021	A*	`conf`	A Comprehensively Tight Analysis of Gradient Descent for PCA. NeurIPS Zhiqiang Xu, Ping Li
2021	—	`conf`	A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li
2021	A*	`conf`	A Note on Sparse Generalized Eigenvalue Problem. NeurIPS Yunfeng Cai, Guanhua Fang, Ping Li
2021	A	`conf`	Adversarial Kernel Sampling on Class-imbalanced Data Streams. CIKM Peng Yang, Ping Li
2021	—	`conf`	Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. SIGMOD Conference Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li
2021	C	`conf`	An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. ACML Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li
2021	A	`conf`	Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. CIKM Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li
2021	A*	`conf`	Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS Khoa D. Doan, Yingjie Lao, Ping Li
2021	J	`jnl`	C-MinHash: Practically Reducing Two Permutations to Just One. CoRR Xiaoyun Li, Ping Li
2021	J	`jnl`	C-MinHash: Rigorously Reducing K Permutations to Two. CoRR Xiaoyun Li, Ping Li
2021	J	`jnl`	C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations. CoRR Xiaoyun Li, Ping Li
2021	A*	`conf`	Causal Discovery with Flow-based Conditional Density Estimation. ICDM Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li
2021	J	`jnl`	Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR Mostafa Rahmani, Ping Li
2021	J	`jnl`	Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. Mostafa Rahmani, Ping Li
2021	A*	`conf`	Consistent Sampling Through Extremal Process. WWW Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao
2021	—	`conf`	Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. NAACL-HLT Hongliang Fei, Tan Yu, Ping Li
2021	A*	`conf`	Cross-lingual Language Model Pretraining for Retrieval. WWW Puxuan Yu, Hongliang Fei, Ping Li
2021	J	`jnl`	Discriminative Similarity for Data Clustering. CoRR Yingzhen Yang, Ping Li
2021	A	`conf`	Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. CIKM Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li
2021	A	`conf`	Efficient greedy coordinate descent via variable partitioning. UAI Huang Fang, Guanhua Fang, Tan Yu, Ping Li
2021	J	`jnl`	Extreme Bandits using Robust Statistics. CoRR Sujay Bhatt, Ping Li, Gennady Samorodnitsky
2021	B	`conf`	FROS: Fast Regularized Optimization by Sketching. ISIT Yingzhen Yang, Ping Li
2021	J	`jnl`	Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. Shulong Tan, Weijie Zhao, Ping Li
2021	A*	`conf`	Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. AAAI Tan Yu, Xiaoyun Li, Ping Li
2021	Misc	`conf`	Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP Mostafa Rahmani, Ping Li
2021	J	`jnl`	Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. CoRR Belhal Karimi, Xiaoyun Li, Ping Li
2021	A*	`conf`	GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. SIGIR Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li
2021	A*	`conf`	Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. ICDM Peng Yang, Xiaoyun Li, Ping Li
2021	A*	`conf`	Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. SIGIR Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li
2021	A	`conf`	Identification of Matrix Joint Block Diagonalization. AISTATS Yunfeng Cai, Ping Li
2021	—	`conf`	Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval. EMNLP (1) Haoliang Liu, Tan Yu, Ping Li
2021	A*	`conf`	LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li
2021	A*	`conf`	Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. CVPR Dongsheng An, Jianwen Xie, Ping Li
2021	A*	`conf`	Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. ICLR Yang Zhao, Jianwen Xie, Ping Li
2021	A*	`conf`	Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. AAAI Jianwen Xie, Zilong Zheng, Ping Li
2021	A*	`conf`	Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2021	J	`jnl`	Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2021	A*	`conf`	MQuadE: a Unified Model for Knowledge Fact Embedding. WWW Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li
2021	A	`conf`	MVT: Multi-view Vision Transformer for 3D Object Recognition. BMVC Shuo Chen, Tan Yu, Ping Li
2021	J	`jnl`	MVT: Multi-view Vision Transformer for 3D Object Recognition. CoRR Shuo Chen, Tan Yu, Ping Li
2021	A*	`conf`	Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS Haiyan Yin, Peng Yang, Ping Li
2021	A	`conf`	MixBERT for Image-Ad Relevance Scoring in Advertising. CIKM Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li
2021	—	`conf`	Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. IEEE BigData Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, Ping Li
2021	A*	`conf`	Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li
2021	A	`conf`	Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. CIKM Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li
2021	A	`conf`	Multiple Exemplars Learning for Fast Image Retrieval. CIKM Tan Yu, Ping Li
2021	—	`conf`	Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC Mostafa Rahmani, Rasoul Shafipour, Ping Li
2021	J	`jnl`	Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR Mostafa Rahmani, Rasoul Shafipour, Ping Li
2021	A*	`conf`	Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
2021	A*	`conf`	On Estimation in Latent Variable Models. ICML Guanhua Fang, Ping Li
2021	A*	`conf`	On Variational Inference in Biclustering Models. ICML Guanhua Fang, Ping Li
2021	J	`jnl`	On the Convergence of Decentralized Adaptive Gradient Methods. CoRR Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
2021	A	`conf`	On the Faster Alternating Least-Squares for CCA. AISTATS Zhiqiang Xu, Ping Li
2021	J	`jnl`	On the Riemannian Search for Eigenvector Computation. J. Mach. Learn. Res. Zhiqiang Xu, Ping Li
2021	A	`conf`	One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements. AISTATS Xiaoyun Li, Ping Li
2021	A*	`conf`	Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations. ICML Fan Zhou, Ping Li
2021	A*	`conf`	Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. CVPR Zilong Zheng, Jianwen Xie, Ping Li
2021	A	`conf`	Principal Subspace Estimation Under Information Diffusion. AISTATS Fan Zhou, Ping Li, Zhixin Zhou
2021	—	`conf`	Provable Data Clustering via Innovation Search. ACSCC Weiwei Li, Mostafa Rahmani, Ping Li
2021	J	`jnl`	Provable Data Clustering via Innovation Search. CoRR Weiwei Li, Mostafa Rahmani, Ping Li
2021	A*	`conf`	Quantization Algorithms for Random Fourier Features. ICML Xiaoyun Li, Ping Li
2021	J	`jnl`	Quantization Algorithms for Random Fourier Features. CoRR Xiaoyun Li, Ping Li
2021	A*	`conf`	Rate-Optimal Subspace Estimation on Random Graphs. NeurIPS Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang
2021	A*	`conf`	ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. SIGIR Yue Zhang, Hongliang Fei, Ping Li
2021	A*	`conf`	Rejection Sampling for Weighted Jaccard Similarity Revisited. AAAI Xiaoyun Li, Ping Li
2021	A	`conf`	Rethinking Token-Mixing MLP for MLP-based Vision Backbone. BMVC Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
2021	J	`jnl`	Rethinking Token-Mixing MLP for MLP-based Vision Backbone. CoRR Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
2021	A*	`conf`	Robust Watermarking for Deep Neural Networks via Bi-level Optimization. ICCV Peng Yang, Yingjie Lao, Ping Li
2021	J	`jnl`	S CoRR Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
2021	J	`jnl`	S CoRR Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
2021	B	`conf`	Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. ISIT Hang Zhang, Ping Li
2021	A	`conf`	Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS Xiaotong Yuan, Ping Li
2021	A*	`conf`	TIRA in Baidu Image Advertising. ICDE Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li
2021	A	`conf`	Textual Analysis and Timely Detection of Suspended Social Media Accounts. ICWSM Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li
2021	J	`jnl`	Toward Communication Efficient Adaptive Gradient Method. CoRR Xiangyi Chen, Xiaoyun Li, Ping Li
2021	—	`conf`	Towards finding the shortest-paths for 3D rigid bodies. Robotics: Science and Systems Weifu Wang, Ping Li
2021	B	`conf`	Two-Timescale Stochastic EM Algorithms. ISIT Belhal Karimi, Ping Li
2020	A	`conf`	A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. UAI Zhiqiang Xu, Ping Li
2020	—	`conf`	A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression. EMNLP (1) Mingming Sun, Wenyue Hua, Zoey Liu, Xin Wang, Kangjie Zheng, Ping Li
2020	A	`conf`	A Reinforced Semi-supervised Neural Network for Helpful Review Identification. CIKM Yue Feng, Miao Fan, Mingming Sun, Ping Li
2020	A	`conf`	Adaptive Online Kernel Sampling for Vertex Classification. AISTATS Peng Yang, Ping Li
2020	A	`conf`	An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. SDM Guiliang Liu, Xu Li, Mingming Sun, Ping Li
2020	A	`conf`	An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. AISTATS Yunfeng Cai, Ping Li
2020	J	`jnl`	An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. CoRR Yunfeng Cai, Ping Li
2020	A*	`conf`	Bessel Smoothing and Multi-Distribution Property Estimation. COLT Yi Hao, Ping Li
2020	—	`conf`	Classification Acceleration via Merging Decision Trees. FODS Chenglin Fan, Ping Li
2020	A*	`conf`	Combo-Attention Network for Baidu Video Advertising. KDD Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li
2020	A*	`conf`	Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. ACL Hongliang Fei, Ping Li
2020	—	`conf`	Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. MLSys Weijie Zhao, Deping Xie, Ronglai Jia, YuLei Qian, Ruiquan Ding, Mingming Sun, Ping Li
2020	J	`jnl`	Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. CoRR Weijie Zhao, Deping Xie, Ronglai Jia, YuLei Qian, Ruiquan Ding, Mingming Sun, Ping Li
2020	A*	`conf`	Distributed Primal-Dual Optimization for Online Multi-Task Learning. AAAI Peng Yang, Ping Li
2020	J	`jnl`	Distributed Primal-Dual Optimization for Online Multi-Task Learning. CoRR Peng Yang, Ping Li
2020	A*	`conf`	Efficient Online Multi-Task Learning via Adaptive Kernel Selection. WWW Peng Yang, Ping Li
2020	A*	`conf`	Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li
2020	A*	`conf`	Extracting Knowledge from Web Text with Monte Carlo Tree Search. WWW Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li
2020	A	`conf`	Fast Item Ranking under Neural Network based Measures. WSDM Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
2020	J	`jnl`	FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. CoRR Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li
2020	A*	`conf`	IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. AAAI Xiaoyun Li, Chengxi Wu, Ping Li
2020	J	`jnl`	IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. CoRR Xiaoyun Li, Chengxi Wu, Ping Li
2020	J	`jnl`	Identification of Matrix Joint Block Diagonalization. CoRR Yunfeng Cai, Ping Li
2020	A*	`conf`	Improved Touch-screen Inputting Using Sequence-level Prediction Generation. WWW Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, Ping Li
2020	J	`jnl`	Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. CoRR Jianwen Xie, Zilong Zheng, Ping Li
2020	A*	`conf`	Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts. ACL Jingyuan Zhang, Mingming Sun, Yue Feng, Ping Li
2020	A*	`conf`	Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
2020	J	`jnl`	Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
2020	A*	`conf`	Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. COLT Xiao-Tong Yuan, Ping Li
2020	J	`jnl`	On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. J. Mach. Learn. Res. Xiao-Tong Yuan, Ping Li
2020	A*	`conf`	Optimal Estimator for Unlabeled Linear Regression. ICML Hang Zhang, Ping Li
2020	A*	`conf`	Optimal Prediction of the Number of Unseen Species with Multiplicity. NeurIPS Yi Hao, Ping Li
2020	A	`conf`	Randomized Kernel Multi-View Discriminant Analysis. ECAI Xiaoyun Li, Jie Gui, Ping Li
2020	J	`jnl`	Randomized Kernel Multi-view Discriminant Analysis. CoRR Xiaoyun Li, Jie Gui, Ping Li
2020	A*	`conf`	Ratio Trace Formulation of Wasserstein Discriminant Analysis. NeurIPS Hexuan Liu, Yunfeng Cai, You-Lin Chen, Ping Li
2020	A*	`conf`	SONG: Approximate Nearest Neighbor Search on GPU. ICDE Weijie Zhao, Shulong Tan, Ping Li
2020	A	`conf`	Sample Optimization For Display Advertising. CIKM Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li
2020	A	`conf`	Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. AISTATS Yunfeng Cai, Ping Li
2020	J	`jnl`	Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. CoRR Yunfeng Cai, Ping Li
2020	J	`jnl`	Tensor Completion via Tensor Networks with a Tucker Wrapper. CoRR Yunfeng Cai, Ping Li
2020	A*	`conf`	The Necessity of Geometrical Representation for Deep Graph Analysis. ICDM Mostafa Rahmani, Ping Li
2020	A*	`conf`	Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS Shaogang Ren, Weijie Zhao, Ping Li
2020	—	`conf`	Toward Communication Efficient Adaptive Gradient Method. FODS Xiangyi Chen, Xiaoyun Li, Ping Li
2020	—	`conf`	Toward Faster and Simpler Matrix Normalization via Rank-1 Update. ECCV (19) Tan Yu, Yunfeng Cai, Ping Li
2020	A*	`conf`	Towards Better Generalization of Adaptive Gradient Methods. NeurIPS Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li
2020	J	`jnl`	Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. J. Mach. Learn. Res. Martin Slawski, Emanuel Ben-David, Ping Li
2020	—	`conf`	Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. IEEE BigData Jerry Chee, Ping Li
2020	J	`jnl`	Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. CoRR Jerry Chee, Ping Li
2020	A*	`conf`	Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. SIGIR Dingcheng Li, Xu Li, Jun Wang, Ping Li
2019	J	`jnl`	A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. CoRR Fan Zhou, Ping Li
2019	A	`conf`	A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI Martin Slawski, Mostafa Rahmani, Ping Li
2019	J	`jnl`	A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. CoRR Martin Slawski, Emanuel Ben-David, Ping Li
2019	A	`conf`	AIBox: CTR Prediction Model Training on a Single Node. CIKM Weijie Zhao, Jingyuan Zhang, Deping Xie, YuLei Qian, Ronglai Jia, Ping Li
2019	A*	`conf`	Coreference Aware Representation Learning for Neural Named Entity Recognition. IJCAI Zeyu Dai, Hongliang Fei, Ping Li
2019	A	`conf`	Deep Skip-Gram Networks for Text Classification. SDM Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li
2019	—	`conf`	End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) Hongliang Fei, Xu Li, Dingcheng Li, Ping Li
2019	A*	`conf`	Generalization Error Analysis of Quantized Compressive Learning. NeurIPS Xiaoyun Li, Ping Li
2019	J	`jnl`	Graph Analysis and Graph Pooling in the Spatial Domain. CoRR Mostafa Rahmani, Ping Li
2019	A	`conf`	Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation. AISTATS Mingming Sun, Ping Li
2019	A*	`conf`	Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. KDD Hongliang Fei, Shulong Tan, Ping Li
2019	—	`conf`	Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. NAACL-HLT (1) Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li
2019	A	`conf`	Knowledge Graph Embedding Based Question Answering. WSDM Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li
2019	A	`conf`	Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. CIKM Miao Fan, Yeqi Bai, Mingming Sun, Ping Li
2019	A*	`conf`	Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. WWW Dingcheng Li, Jingyuan Zhang, Ping Li
2019	J	`jnl`	Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. CoRR Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li
2019	A*	`conf`	MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. KDD Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li
2019	A	`conf`	MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. CIKM Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang
2019	A*	`conf`	Multi-Agent Discussion Mechanism for Natural Language Generation. AAAI Xu Li, Mingming Sun, Ping Li
2019	A*	`conf`	Möbius Transformation for Fast Inner Product Search on Graph. NeurIPS Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li
2019	J	`jnl`	On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. CoRR Xiao-Tong Yuan, Ping Li
2019	—	`conf`	On Efficient Retrieval of Top Similarity Vectors. EMNLP/IJCNLP (1) Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
2019	—	`conf`	On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training. ICLR Ping Li, Phan-Minh Nguyen
2019	J	`jnl`	Optimistic Adaptive Acceleration for Optimization. CoRR Jun-Kun Wang, Xiaoyun Li, Ping Li
2019	J	`jnl`	Outlier Detection and Data Clustering via Innovation Search. CoRR Mostafa Rahmani, Ping Li
2019	A*	`conf`	Outlier Detection and Robust PCA Using a Convex Measure of Innovation. NeurIPS Mostafa Rahmani, Ping Li
2019	B	`conf`	Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. ISIT Hang Zhang, Martin Slawski, Ping Li
2019	J	`jnl`	Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. CoRR Hang Zhang, Martin Slawski, Ping Li
2019	A*	`conf`	Product-Aware Helpfulness Prediction of Online Reviews. WWW Miao Fan, Chao Feng, Lin Guo, Mingming Sun, Ping Li
2019	A*	`conf`	Random Projections with Asymmetric Quantization. NeurIPS Xiaoyun Li, Ping Li
2019	A*	`conf`	Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling. NeurIPS Ping Li, Xiaoyun Li, Cun-Hui Zhang
2019	A	`conf`	Reading Customer Reviews to Answer Product-related Questions. SDM Miao Fan, Chao Feng, Mingming Sun, Ping Li, Haifeng Wang
2019	—	`conf`	Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews. EMNLP/IJCNLP (1) Miao Fan, Chao Feng, Mingming Sun, Ping Li
2019	A	`conf`	Robust Matrix Completion from Quantized Observations. AISTATS Jie Shen, Pranjal Awasthi, Ping Li
2019	A*	`conf`	Sign-Full Random Projections. AAAI Ping Li
2019	A	`conf`	TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. SDM Dingcheng Li, Jingyuan Zhang, Ping Li
2019	A*	`conf`	Towards Practical Alternating Least-Squares for CCA. NeurIPS Zhiqiang Xu, Ping Li
2018	A	`conf`	A Globalization-Semantic Matching Neural Network for Paraphrase Identification. CIKM Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, Ping Li
2018	A	`conf`	Collaborative Filtering via Additive Ordinal Regression. WSDM Jun Hu, Ping Li
2018	A	`conf`	Collaborative Multi-objective Ranking. CIKM Jun Hu, Ping Li
2018	A	`conf`	FastInput: Improving Input Efficiency on Mobile Devices. CIKM Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, Ping Li
2018	A*	`conf`	Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain. EMNLP Mingming Sun, Xu Li, Ping Li
2018	A	`conf`	Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. WSDM Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li
2018	B	`conf`	Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews. ASONAM Miao Fan, Yue Feng, Mingming Sun, Ping Li, Haifeng Wang, Jianmin Wang
2018	A*	`conf`	Multi-view Feature Selection for Heterogeneous Face Recognition. ICDM Jie Gui, Ping Li
2018	J	`jnl`	On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From b-Bit Quantized Linear Measurements. IEEE Trans. Inf. Theory Martin Slawski, Ping Li
2018	A*	`conf`	Provable Variable Selection for Streaming Features. ICML Jing Wang, Jie Shen, Ping Li
2018	A*	`conf`	R 2 SDH: Robust Rotated Supervised Discrete Hashing. KDD Jie Gui, Ping Li
2018	—	`conf`	Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. IEEE BigData Dingcheng Li, Jingyuan Zhang, Ping Li
2018	J	`jnl`	Sign-Full Random Projections. CoRR Ping Li
2017	J	`jnl`	A Tight Bound of Hard Thresholding. J. Mach. Learn. Res. Jie Shen, Ping Li
2017	A	`conf`	Binary and Multi-Bit Coding for Stable Random Projections. AISTATS Ping Li
2017	J	`jnl`	Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Qingshan Liu, Ping Li
2017	A*	`conf`	Decoupled Collaborative Ranking. WWW Jun Hu, Ping Li
2017	J	`jnl`	Gradient Hard Thresholding Pursuit. J. Mach. Learn. Res. Xiao-Tong Yuan, Ping Li, Tong Zhang
2017	Misc	`conf`	Learning the second-moment matrix of a smooth function from point samples. ACSSC Armin Eftekhari, Michael B. Wakin, Ping Li, Paul G. Constantine, Rachel A. Ward
2017	A*	`conf`	Linearized GMM Kernels and Normalized Random Fourier Features. KDD Ping Li
2017	J	`jnl`	Object proposal with kernelized partial ranking. Pattern Recognit. Jing Wang, Jie Shen, Ping Li
2017	A*	`conf`	On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit. ICML Jie Shen, Ping Li
2017	A	`conf`	Online Matrix Completion for Signed Link Prediction. WSDM Jing Wang, Jie Shen, Ping Li, Huan Xu
2017	—	`conf`	Online city-scale hyper-local event detection via analysis of social media and human mobility. IEEE BigData Jun Hu, Yuxin Wang, Ping Li
2017	J	`jnl`	Online optimization for max-norm regularization. Mach. Learn. Jie Shen, Huan Xu, Ping Li
2017	—	`conf`	Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. NIPS Jie Shen, Ping Li
2017	J	`jnl`	Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. IEEE Trans. Signal Process. Jian Wang, Ping Li
2017	—	`conf`	Simple strategies for recovering inner products from coarsely quantized random projections. NIPS Ping Li, Martin Slawski
2017	A*	`conf`	Theory of the GMM Kernel. WWW Ping Li, Cun-Hui Zhang
2017	J	`jnl`	Tunable GMM Kernels. CoRR Ping Li
2016	J	`jnl`	2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search. CoRR Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
2016	J	`jnl`	A Comparison Study of Nonlinear Kernels. CoRR Ping Li
2016	J	`jnl`	A Tight Bound of Hard Thresholding. CoRR Jie Shen, Ping Li
2016	—	`conf`	Exact Recovery of Hard Thresholding Pursuit. NIPS Xiao-Tong Yuan, Ping Li, Tong Zhang
2016	J	`jnl`	Generalized Intersection Kernel. CoRR Ping Li
2016	J	`jnl`	Generalized Min-Max Kernel and Generalized Consistent Weighted Sampling. CoRR Ping Li
2016	A*	`conf`	Improved and Scalable Bradley-Terry Model for Collaborative Ranking. ICDM Jun Hu, Ping Li
2016	—	`conf`	Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu
2016	A	`conf`	Learning Structured Low-Rank Representation via Matrix Factorization. AISTATS Jie Shen, Ping Li
2016	J	`jnl`	Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. CoRR Armin Eftekhari, Ping Li, Michael B. Wakin, Rachel A. Ward
2016	J	`jnl`	Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements. CoRR Martin Slawski, Ping Li
2016	J	`jnl`	Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. Guangcan Liu, Ping Li
2016	J	`jnl`	Methods for Sparse and Low-Rank Recovery under Simplex Constraints. CoRR Ping Li, Syama Sundar Rangapuram, Martin Slawski
2016	J	`jnl`	Nystrom Method for Approximating the GMM Kernel. CoRR Ping Li
2016	A	`conf`	One Scan 1-Bit Compressed Sensing. AISTATS Ping Li
2016	A*	`conf`	Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit. ICML Jie Shen, Ping Li, Huan Xu
2016	—	`conf`	Quantized Random Projections and Non-Linear Estimation of Cosine Similarity. NIPS Ping Li, Michael Mitzenmacher, Martin Slawski
2016	J	`jnl`	Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis. IEEE Trans. Signal Process. Jian Wang, Suhyuk Kwon, Ping Li, Byonghyo Shim
2016	J	`jnl`	Theory of the GMM Kernel. CoRR Ping Li, Cun-Hui Zhang
2015	A*	`conf`	0-Bit Consistent Weighted Sampling. KDD Ping Li
2015	A*	`conf`	Adaptive Stochastic Alternating Direction Method of Multipliers. ICML Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li
2015	A*	`conf`	Asymmetric Minwise Hashing for Indexing Binary Inner Products and Set Containment. WWW Anshumali Shrivastava, Ping Li
2015	J	`jnl`	Binary and Multi-Bit Coding for Stable Random Projections. CoRR Ping Li
2015	A	`conf`	Compressed Sensing with Very Sparse Gaussian Random Projections. AISTATS Ping Li, Cun-Hui Zhang
2015	J	`jnl`	Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs. IEEE Trans. Image Process. Andy Jinhua Ma, Jiawei Li, Pong C. Yuen, Ping Li
2015	A	`conf`	Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS). UAI Anshumali Shrivastava, Ping Li
2015	J	`jnl`	Min-Max Kernels. CoRR Ping Li
2015	J	`jnl`	One Scan 1-Bit Compressed Sensing. CoRR Ping Li
2015	—	`conf`	Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices. NIPS Martin Slawski, Ping Li, Matthias Hein
2015	J	`jnl`	Regularization-free estimation in trace regression with symmetric positive semidefinite matrices. CoRR Martin Slawski, Ping Li, Matthias Hein
2015	J	`jnl`	Sign Stable Random Projections for Large-Scale Learning. CoRR Ping Li
2015	—	`conf`	b-bit Marginal Regression. NIPS Martin Slawski, Ping Li
2014	J	`jnl`	A New Space for Comparing Graphs. CoRR Anshumali Shrivastava, Ping Li
2014	B	`conf`	A new space for comparing graphs. ASONAM Anshumali Shrivastava, Ping Li
2014	J	`jnl`	Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. CoRR Guangcan Liu, Ping Li
2014	J	`jnl`	An Improved Scheme for Asymmetric LSH. CoRR Anshumali Shrivastava, Ping Li
2014	—	`conf`	Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). NIPS Anshumali Shrivastava, Ping Li
2014	J	`jnl`	Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). CoRR Anshumali Shrivastava, Ping Li
2014	J	`jnl`	Asymmetric Minwise Hashing. CoRR Anshumali Shrivastava, Ping Li
2014	A	`conf`	CoRE Kernels. UAI Ping Li
2014	J	`jnl`	CoRE Kernels. CoRR Ping Li
2014	J	`jnl`	Coding for Random Projections and Approximate Near Neighbor Search. CoRR Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
2014	A*	`conf`	Coding for Random Projections. ICML Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
2014	A*	`conf`	Compressed Counting Meets Compressed Sensing. COLT Ping Li, Cun-Hui Zhang, Tong Zhang
2014	J	`jnl`	Compressed Sensing with Very Sparse Gaussian Random Projections. CoRR Ping Li, Cun-Hui Zhang
2014	A*	`conf`	Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. ICML Anshumali Shrivastava, Ping Li
2014	A*	`conf`	Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. ICML Xiaotong Yuan, Ping Li, Tong Zhang
2014	J	`jnl`	Graph Kernels via Functional Embedding. CoRR Anshumali Shrivastava, Ping Li
2014	A	`conf`	Improved Densification of One Permutation Hashing. UAI Anshumali Shrivastava, Ping Li
2014	J	`jnl`	Improved Densification of One Permutation Hashing. CoRR Anshumali Shrivastava, Ping Li
2014	J	`jnl`	In Defense of MinHash Over SimHash. CoRR Anshumali Shrivastava, Ping Li
2014	A	`conf`	In Defense of Minhash over Simhash. AISTATS Anshumali Shrivastava, Ping Li
2014	—	`conf`	Online Optimization for Max-Norm Regularization. NIPS Jie Shen, Huan Xu, Ping Li
2014	J	`jnl`	Online Optimization for Max-Norm Regularization. CoRR Jie Shen, Huan Xu, Ping Li
2014	—	`conf`	Query Based Adaptive Re-ranking for Person Re-identification. ACCV (5) Andy Jinhua Ma, Ping Li
2014	—	`conf`	Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS Guangcan Liu, Ping Li
2014	J	`jnl`	Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR Guangcan Liu, Ping Li
2014	J	`jnl`	Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. CoRR Jian Wang, Ping Li
2014	—	`conf`	Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs. ACCV (4) Andy Jinhua Ma, Ping Li
2014	—	`conf`	Sparse Additive Subspace Clustering. ECCV (3) Xiao-Tong Yuan, Ping Li
2014	J	`jnl`	Sparse Recovery with Very Sparse Compressed Counting. CoRR Ping Li, Cun-Hui Zhang, Tong Zhang
2013	J	`jnl`	Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient. CoRR Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li
2013	—	`conf`	Beyond Pairwise: Provably Fast Algorithms for Approximate NIPS Anshumali Shrivastava, Ping Li
2013	J	`jnl`	Coding for Random Projections. CoRR Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
2013	J	`jnl`	Compressed Counting Meets Compressed Sensing. CoRR Ping Li, Cun-Hui Zhang, Tong Zhang
2013	J	`jnl`	Exact Sparse Recovery with L0 Projections CoRR Ping Li, Cun-Hui Zhang
2013	A*	`conf`	Exact sparse recovery with L0 projections. KDD Ping Li, Cun-Hui Zhang
2013	J	`jnl`	Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. CoRR Xiao-Tong Yuan, Ping Li, Tong Zhang
2013	—	`conf`	Sign Cauchy Projections and Chi-Square Kernel. NIPS Ping Li, Gennady Samorodnitsky, John E. Hopcroft
2013	J	`jnl`	Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels. CoRR Ping Li, Gennady Samorodnitsky, John E. Hopcroft
2013	—	`conf`	b-bit minwise hashing in practice. Internetware Ping Li, Anshumali Shrivastava, Arnd Christian König
2012	J	`jnl`	Approximating Higher-Order Distances Using Random Projections CoRR Ping Li, Michael W. Mahoney, Yiyuan She
2012	—	`conf`	Entropy Estimations Using Correlated Symmetric Stable Random Projections. NIPS Ping Li, Cun-Hui Zhang
2012	—	`conf`	Fast Near Neighbor Search in High-Dimensional Binary Data. ECML/PKDD (1) Anshumali Shrivastava, Ping Li
2012	A	`conf`	Fast multi-task learning for query spelling correction. CIKM Xu Sun, Anshumali Shrivastava, Ping Li
2012	—	`conf`	GPU-based minwise hashing: GPU-based minwise hashing. WWW (Companion Volume) Ping Li, Anshumali Shrivastava, Arnd Christian König
2012	J	`jnl`	Improving Compressed Counting CoRR Ping Li
2012	J	`jnl`	Improving clustering by learning a bi-stochastic data similarity matrix. Knowl. Inf. Syst. Fei Wang, Ping Li, Arnd Christian König, Muting Wan
2012	J	`jnl`	One Permutation Hashing for Efficient Search and Learning CoRR Ping Li, Art B. Owen, Cun-Hui Zhang
2012	—	`conf`	One Permutation Hashing. NIPS Ping Li, Art B. Owen, Cun-Hui Zhang
2012	—	`conf`	Query spelling correction using multi-task learning. WWW (Companion Volume) Xu Sun, Anshumali Shrivastava, Ping Li
2012	J	`jnl`	Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost CoRR Ping Li
2012	A	`conf`	Testing for Membership to the IFRA and the NBU Classes of Distributions. AISTATS Radhendushka Srivastava, Ping Li, Debasis Sengupta
2012	J	`jnl`	b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions. CoRR Ping Li, Anshumali Shrivastava, Arnd Christian König
2011	A*	`conf`	A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data. COLT Ping Li, Cun-Hui Zhang
2011	A*	`conf`	A New Multi-task Learning Method for Personalized Activity Recognition. ICDM Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li
2011	J	`jnl`	Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing CoRR Ping Li, Arnd Christian König
2011	A	`conf`	Efficient Document Clustering via Online Nonnegative Matrix Factorizations. SDM Fei Wang, Ping Li, Arnd Christian König
2011	J	`jnl`	Hashing Algorithms for Large-Scale Learning CoRR Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd Christian König
2011	—	`conf`	Hashing Algorithms for Large-Scale Learning. NIPS Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd Christian König
2011	J	`jnl`	Theory and applications of Commun. ACM Ping Li, Arnd Christian König
2011	C	`conf`	Towards a Universal Sketch for Origin-Destination Network Measurements. NPC Haiquan (Chuck) Zhao, Nan Hua, Ashwin Lall, Ping Li, Jia Wang, Jun (Jim) Xu
2011	J	`jnl`	Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW) CoRR Ping Li, Anshumali Shrivastava, Arnd Christian König
2011	J	`jnl`	User-level sentiment analysis incorporating social networks CoRR Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li
2011	A*	`conf`	User-level sentiment analysis incorporating social networks. KDD Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li
2011	J	`jnl`	b-Bit Minwise Hashing for Large-Scale Linear SVM CoRR Ping Li, Joshua L. Moore, Arnd Christian König
2010	J	`jnl`	An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost CoRR Ping Li
2010	A	`conf`	Approximating Higher-Order Distances Using Random Projections. UAI Ping Li, Michael W. Mahoney, Yiyuan She
2010	A*	`conf`	Compressed Nonnegative Sparse Coding. ICDM Fei Wang, Ping Li
2010	A	`conf`	Efficient Nonnegative Matrix Factorization with Random Projections. SDM Fei Wang, Ping Li
2010	J	`jnl`	Fast ABC-Boost for Multi-Class Classification CoRR Ping Li
2010	J	`jnl`	Guest editorial: special issue on learning theory. Mach. Learn. Sham M. Kakade, Ping Li
2010	A*	`conf`	Learning a Bi-Stochastic Data Similarity Matrix. ICDM Fei Wang, Ping Li, Arnd Christian König
2010	J	`jnl`	On Practical Algorithms for Entropy Estimation and the Improved Sample Complexity of Compressed Counting CoRR Ping Li
2010	A	`conf`	Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost. UAI Ping Li
2010	—	`conf`	b-Bit Minwise Hashing for Estimating Three-Way Similarities. NIPS Ping Li, Arnd Christian König, Wenhao Gui
2010	A*	`conf`	b-Bit minwise hashing. WWW Ping Li, Arnd Christian König
2009	J	`jnl`	ABC-LogitBoost for Multi-class Classification CoRR Ping Li
2009	A*	`conf`	ABC-boost: adaptive base class boost for multi-class classification. ICML Ping Li
2009	A*	`conf`	Compressed counting. SODA Ping Li
2009	J	`jnl`	Estimating Entropy of Data Streams Using Compressed Counting CoRR Ping Li
2009	A	`conf`	Improving Compressed Counting. UAI Ping Li
2009	J	`jnl`	On the Sample Complexity of Compressed Counting CoRR Ping Li
2009	—	`ch.`	Stable Distribution. Encyclopedia of Database Systems Ping Li
2009	J	`jnl`	b-Bit Minwise Hashing CoRR Ping Li, Arnd Christian König
2008	J	`jnl`	A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting CoRR Ping Li
2008	J	`jnl`	Adaptive Base Class Boost for Multi-class Classification CoRR Ping Li
2008	J	`jnl`	Compressed Counting CoRR Ping Li
2008	J	`jnl`	Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections CoRR Ping Li
2008	A*	`conf`	Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections. ICDM Ping Li
2008	A*	`conf`	Estimators and tail bounds for dimension reduction in SODA Ping Li
2008	J	`jnl`	On Approximating Frequency Moments of Data Streams with Skewed Projections CoRR Ping Li
2008	J	`jnl`	On Approximating the Lp Distances for p>2 CoRR Ping Li
2008	—	`conf`	One sketch for all: Theory and Application of Conditional Random Sampling. NIPS Ping Li, Kenneth Ward Church, Trevor Hastie
2008	J	`jnl`	The Optimal Quantile Estimator for Compressed Counting CoRR Ping Li
2007	J	`jnl`	A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations. Comput. Linguistics Ping Li, Kenneth Ward Church
2007	—	`conf`	A Unified Near-Optimal Estimator For Dimension Reduction in l NIPS Ping Li, Trevor Hastie
2007	—	`conf`	McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS Ping Li, Christopher J. C. Burges, Qiang Wu
2007	A*	`conf`	Nonlinear Estimators and Tail Bounds for Dimension Reduction in COLT Ping Li, Trevor Hastie, Kenneth Ward Church
2007	J	`jnl`	Nonlinear Estimators and Tail Bounds for Dimension Reduction in J. Mach. Learn. Res. Ping Li, Trevor Hastie, Kenneth Ward Church
2007	A*	`conf`	Very sparse stable random projections for dimension reduction in KDD Ping Li
2006	—	`conf`	Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data. NIPS Ping Li, Kenneth Ward Church, Trevor Hastie
2006	A*	`conf`	Improving Random Projections Using Marginal Information. COLT Ping Li, Trevor Hastie, Kenneth Ward Church
2006	J	`jnl`	Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections CoRR Ping Li, Trevor Hastie, Kenneth Ward Church
2006	J	`jnl`	On the distribution of SINR for the MMSE MIMO receiver and performance analysis. IEEE Trans. Inf. Theory Ping Li, Debashis Paul, Ravi Narasimhan, John M. Cioffi
2006	J	`jnl`	Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections CoRR Ping Li
2006	A*	`conf`	Very sparse random projections. KDD Ping Li, Trevor Hastie, Kenneth Ward Church
2005	—	`conf`	Using Sketches to Estimate Associations. HLT/EMNLP Ping Li, Kenneth Ward Church