Using Sketches to Estimate Associations. - Ping Li 001; Kenneth Ward Church (HLT/EMNLP, 2005)

Improving Random Projections Using Marginal Information. - Ping Li 001; Trevor Hastie; Kenneth Ward Church (COLT, 2006)

Very sparse random projections. - Ping Li 001; Trevor Hastie; Kenneth Ward Church (KDD, 2006)

Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data. - Ping Li 001; Kenneth Ward Church; Trevor Hastie (NIPS, 2006)

Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections - Ping Li 001; Trevor Hastie; Kenneth Ward Church (CoRR, 2006)

Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections - Ping Li 001 (CoRR, 2006)

On the distribution of SINR for the MMSE MIMO receiver and performance analysis. - Ping Li 001; Debashis Paul; Ravi Narasimhan; John M. Cioffi (IEEE Trans. Inf. Theory, 2006)

Very sparse stable random projections for dimension reduction in lalpha (0 <alpha<=2) norm. - Ping Li 001 (KDD, 2007)

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. - Ping Li 001; Christopher J. C. Burges; Qiang Wu (NIPS, 2007)

A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections. - Ping Li 001; Trevor Hastie (NIPS, 2007)

A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations. - Ping Li 001; Kenneth Ward Church (Comput. Linguistics, 2007)

Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections. - Ping Li 001; Trevor Hastie; Kenneth Ward Church (J. Mach. Learn. Res., 2007)

Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections. - Ping Li 001 (ICDM, 2008)

One sketch for all: Theory and Application of Conditional Random Sampling. - Ping Li 001; Kenneth Ward Church; Trevor Hastie (NIPS, 2008)

Estimators and tail bounds for dimension reduction in lα (0 < α ≤ 2) using stable random projections. - Ping Li 001 (SODA, 2008)

On Approximating Frequency Moments of Data Streams with Skewed Projections - Ping Li 001 (CoRR, 2008)

Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections - Ping Li 001 (CoRR, 2008)

On Approximating the Lp Distances for p>2 - Ping Li 001 (CoRR, 2008)

The Optimal Quantile Estimator for Compressed Counting - Ping Li 001 (CoRR, 2008)

A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting - Ping Li 001 (CoRR, 2008)

Adaptive Base Class Boost for Multi-class Classification - Ping Li 001 (CoRR, 2008)

ABC-boost: adaptive base class boost for multi-class classification. - Ping Li 001 (ICML, 2009)

Compressed counting. - Ping Li 001 (SODA, 2009)

Improving Compressed Counting. - Ping Li 001 (UAI, 2009)

ABC-LogitBoost for Multi-class Classification - Ping Li 001 (CoRR, 2009)

On the Sample Complexity of Compressed Counting - Ping Li 001 (CoRR, 2009)

Estimating Entropy of Data Streams Using Compressed Counting - Ping Li 001 (CoRR, 2009)

Stable Distribution. - Ping Li 001 (Encyclopedia of Database Systems, 2009)

Compressed Nonnegative Sparse Coding. - Fei Wang 001; Ping Li 001 (ICDM, 2010)

Learning a Bi-Stochastic Data Similarity Matrix. - Fei Wang 001; Ping Li 001; Arnd Christian König (ICDM, 2010)

b-Bit Minwise Hashing for Estimating Three-Way Similarities. - Ping Li 001; Arnd Christian König; Wenhao Gui (NIPS, 2010)

Efficient Nonnegative Matrix Factorization with Random Projections. - Fei Wang 001; Ping Li 001 (SDM, 2010)

Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost. - Ping Li 001 (UAI, 2010)

Approximating Higher-Order Distances Using Random Projections. - Ping Li 001; Michael W. Mahoney; Yiyuan She (UAI, 2010)

b-Bit minwise hashing. - Ping Li 001; Arnd Christian König (WWW, 2010)

An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost - Ping Li 001 (CoRR, 2010)

On Practical Algorithms for Entropy Estimation and the Improved Sample Complexity of Compressed Counting - Ping Li 001 (CoRR, 2010)

Fast ABC-Boost for Multi-Class Classification - Ping Li 001 (CoRR, 2010)

Guest editorial: special issue on learning theory. - Sham M. Kakade; Ping Li 001 (Mach. Learn., 2010)

A New Multi-task Learning Method for Personalized Activity Recognition. - Xu Sun 001; Hisashi Kashima; Ryota Tomioka; Naonori Ueda; Ping Li 001 (ICDM, 2011)

User-level sentiment analysis incorporating social networks. - Chenhao Tan; Lillian Lee; Jie Tang 001; Long Jiang; Ming Zhou 001; Ping Li 001 (KDD, 2011)

Hashing Algorithms for Large-Scale Learning. - Ping Li 001; Anshumali Shrivastava; Joshua L. Moore; Arnd Christian König (NIPS, 2011)

Towards a Universal Sketch for Origin-Destination Network Measurements. - Haiquan (Chuck) Zhao; Nan Hua; Ashwin Lall; Ping Li 001; Jia Wang 001; Jun (Jim) Xu (NPC, 2011)

Efficient Document Clustering via Online Nonnegative Matrix Factorizations. - Fei Wang 001; Ping Li 001; Arnd Christian König (SDM, 2011)

Theory and applications of b-bit minwise hashing. - Ping Li 001; Arnd Christian König (Commun. ACM, 2011)

b-Bit Minwise Hashing for Large-Scale Linear SVM - Ping Li 001; Joshua L. Moore; Arnd Christian König (CoRR, 2011)

Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing - Ping Li 001; Arnd Christian König (CoRR, 2011)

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW) - Ping Li 001; Anshumali Shrivastava; Arnd Christian König (CoRR, 2011)

A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data. - Ping Li 001; Cun-Hui Zhang (COLT, 2011)

Fast multi-task learning for query spelling correction. - Xu Sun 001; Anshumali Shrivastava; Ping Li 001 (CIKM, 2012)

One Permutation Hashing. - Ping Li 001; Art B. Owen; Cun-Hui Zhang (NIPS, 2012)

Entropy Estimations Using Correlated Symmetric Stable Random Projections. - Ping Li 001; Cun-Hui Zhang (NIPS, 2012)

Fast Near Neighbor Search in High-Dimensional Binary Data. - Anshumali Shrivastava; Ping Li 001 (ECML/PKDD (1), 2012)

GPU-based minwise hashing: GPU-based minwise hashing. - Ping Li 001; Anshumali Shrivastava; Arnd Christian König (WWW (Companion Volume), 2012)

Query spelling correction using multi-task learning. - Xu Sun 001; Anshumali Shrivastava; Ping Li 001 (WWW (Companion Volume), 2012)

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions. - Ping Li 001; Anshumali Shrivastava; Arnd Christian König (CoRR, 2012)

One Permutation Hashing for Efficient Search and Learning - Ping Li 001; Art B. Owen; Cun-Hui Zhang (CoRR, 2012)

Testing for Membership to the IFRA and the NBU Classes of Distributions. - Radhendushka Srivastava; Ping Li 001; Debasis Sengupta (AISTATS, 2012)

Improving clustering by learning a bi-stochastic data similarity matrix. - Fei Wang 001; Ping Li 001; Arnd Christian König; Muting Wan (Knowl. Inf. Syst., 2012)

b-bit minwise hashing in practice. - Ping Li 001; Anshumali Shrivastava; Arnd Christian König (Internetware, 2013)

Exact sparse recovery with L0 projections. - Ping Li 001; Cun-Hui Zhang (KDD, 2013)

Sign Cauchy Projections and Chi-Square Kernel. - Ping Li 001; Gennady Samorodnitsky; John E. Hopcroft (NIPS, 2013)

Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search. - Anshumali Shrivastava; Ping Li 001 (NIPS, 2013)

Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels. - Ping Li 001; Gennady Samorodnitsky; John E. Hopcroft (CoRR, 2013)

Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient. - Peilin Zhao; Jinwei Yang; Tong Zhang 001; Ping Li 001 (CoRR, 2013)

Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs. - Andy Jinhua Ma; Ping Li 001 (ACCV (4), 2014)

Query Based Adaptive Re-ranking for Person Re-identification. - Andy Jinhua Ma; Ping Li 001 (ACCV (5), 2014)

In Defense of Minhash over Simhash. - Anshumali Shrivastava; Ping Li 001 (AISTATS, 2014)

A new space for comparing graphs. - Anshumali Shrivastava; Ping Li 001 (ASONAM, 2014)

Compressed Counting Meets Compressed Sensing. - Ping Li 001; Cun-Hui Zhang; Tong Zhang 001 (COLT, 2014)

Sparse Additive Subspace Clustering. - Xiao-Tong Yuan; Ping Li 001 (ECCV (3), 2014)

Coding for Random Projections. - Ping Li 001; Michael Mitzenmacher; Anshumali Shrivastava (ICML, 2014)

Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. - Anshumali Shrivastava; Ping Li 001 (ICML, 2014)

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. - Xiaotong Yuan; Ping Li 001; Tong Zhang 001 (ICML, 2014)

Recovery of Coherent Data via Low-Rank Dictionary Pursuit. - Guangcan Liu; Ping Li 001 (NIPS, 2014)

Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). - Anshumali Shrivastava; Ping Li 001 (NIPS, 2014)

CoRE Kernels. - Ping Li 001 (UAI, 2014)

Improved Densification of One Permutation Hashing. - Anshumali Shrivastava; Ping Li 001 (UAI, 2014)

Coding for Random Projections and Approximate Near Neighbor Search. - Ping Li 001; Michael Mitzenmacher; Anshumali Shrivastava (CoRR, 2014)

Sparse Recovery with Very Sparse Compressed Counting. - Ping Li 001; Cun-Hui Zhang; Tong Zhang 001 (CoRR, 2014)

Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. - Guangcan Liu; Ping Li 001 (CoRR, 2014)

Graph Kernels via Functional Embedding. - Anshumali Shrivastava; Ping Li 001 (CoRR, 2014)

An Improved Scheme for Asymmetric LSH. - Anshumali Shrivastava; Ping Li 001 (CoRR, 2014)

Asymmetric Minwise Hashing. - Anshumali Shrivastava; Ping Li 001 (CoRR, 2014)

Compressed Sensing with Very Sparse Gaussian Random Projections. - Ping Li 001; Cun-Hui Zhang (AISTATS, 2015)

Adaptive Stochastic Alternating Direction Method of Multipliers. - Peilin Zhao; Jinwei Yang; Tong Zhang 001; Ping Li 001 (ICML, 2015)

0-Bit Consistent Weighted Sampling. - Ping Li 001 (KDD, 2015)

b-bit Marginal Regression. - Martin Slawski; Ping Li 001 (NIPS, 2015)

Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices. - Martin Slawski; Ping Li 001; Matthias Hein 001 (NIPS, 2015)

Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS). - Anshumali Shrivastava; Ping Li 001 (UAI, 2015)

Asymmetric Minwise Hashing for Indexing Binary Inner Products and Set Containment. - Anshumali Shrivastava; Ping Li 001 (WWW, 2015)

Min-Max Kernels. - Ping Li 001 (CoRR, 2015)

Sign Stable Random Projections for Large-Scale Learning. - Ping Li 001 (CoRR, 2015)

Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs. - Andy Jinhua Ma; Jiawei Li 003; Pong C. Yuen; Ping Li 001 (IEEE Trans. Image Process., 2015)

One Scan 1-Bit Compressed Sensing. - Ping Li 001 (AISTATS, 2016)

Learning Structured Low-Rank Representation via Matrix Factorization. - Jie Shen 005; Ping Li 001 (AISTATS, 2016)

Improved and Scalable Bradley-Terry Model for Collaborative Ranking. - Jun Hu; Ping Li 001 (ICDM, 2016)

Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit. - Jie Shen 005; Ping Li 001; Huan Xu (ICML, 2016)

Quantized Random Projections and Non-Linear Estimation of Cosine Similarity. - Ping Li 001; Michael Mitzenmacher; Martin Slawski (NIPS, 2016)

Exact Recovery of Hard Thresholding Pursuit. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001 (NIPS, 2016)

Learning Additive Exponential Family Graphical Models via ell_{2, 1}-norm Regularized M-Estimation. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001; Qingshan Liu 001; Guangcan Liu (NIPS, 2016)

2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search. - Ping Li 001; Michael Mitzenmacher; Anshumali Shrivastava (CoRR, 2016)

Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. - Armin Eftekhari; Ping Li 001; Michael B. Wakin; Rachel A. Ward (CoRR, 2016)

A Comparison Study of Nonlinear Kernels. - Ping Li 001 (CoRR, 2016)

Generalized Min-Max Kernel and Generalized Consistent Weighted Sampling. - Ping Li 001 (CoRR, 2016)

Nystrom Method for Approximating the GMM Kernel. - Ping Li 001 (CoRR, 2016)

Generalized Intersection Kernel. - Ping Li 001 (CoRR, 2016)

Methods for Sparse and Low-Rank Recovery under Simplex Constraints. - Ping Li 001; Syama Sundar Rangapuram; Martin Slawski (CoRR, 2016)

Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements. - Martin Slawski; Ping Li 001 (CoRR, 2016)

Low-Rank Matrix Completion in the Presence of High Coherence. - Guangcan Liu; Ping Li 001 (IEEE Trans. Signal Process., 2016)

Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis. - Jian Wang 016; Suhyuk Kwon; Ping Li 001; Byonghyo Shim (IEEE Trans. Signal Process., 2016)

Learning the second-moment matrix of a smooth function from point samples. - Armin Eftekhari; Michael B. Wakin; Ping Li 001; Paul G. Constantine; Rachel A. Ward (ACSSC, 2017)

Binary and Multi-Bit Coding for Stable Random Projections. - Ping Li 001 (AISTATS, 2017)

Online city-scale hyper-local event detection via analysis of social media and human mobility. - Jun Hu; Yuxin Wang; Ping Li 001 (IEEE BigData, 2017)

On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit. - Jie Shen 005; Ping Li 001 (ICML, 2017)

Linearized GMM Kernels and Normalized Random Fourier Features. - Ping Li 001 (KDD, 2017)

Simple strategies for recovering inner products from coarsely quantized random projections. - Ping Li 001; Martin Slawski (NIPS, 2017)

Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. - Jie Shen 005; Ping Li 001 (NIPS, 2017)

Online Matrix Completion for Signed Link Prediction. - Jing Wang 021; Jie Shen 005; Ping Li 001; Huan Xu (WSDM, 2017)

Theory of the GMM Kernel. - Ping Li 001; Cun-Hui Zhang (WWW, 2017)

Decoupled Collaborative Ranking. - Jun Hu; Ping Li 001 (WWW, 2017)

Tunable GMM Kernels. - Ping Li 001 (CoRR, 2017)

A Tight Bound of Hard Thresholding. - Jie Shen 005; Ping Li 001 (J. Mach. Learn. Res., 2017)

Gradient Hard Thresholding Pursuit. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001 (J. Mach. Learn. Res., 2017)

Online optimization for max-norm regularization. - Jie Shen 005; Huan Xu; Ping Li 001 (Mach. Learn., 2017)

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. - Guangcan Liu; Qingshan Liu 001; Ping Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Object proposal with kernelized partial ranking. - Jing Wang 021; Jie Shen 005; Ping Li 001 (Pattern Recognit., 2017)

Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. - Jian Wang 016; Ping Li 001 (IEEE Trans. Signal Process., 2017)

Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews. - Miao Fan; Yue Feng 002; Mingming Sun 001; Ping Li 001; Haifeng Wang 001; Jianmin Wang 001 (ASONAM, 2018)

Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. - Dingcheng Li; Jingyuan Zhang; Ping Li 001 (IEEE BigData, 2018)

A Globalization-Semantic Matching Neural Network for Paraphrase Identification. - Miao Fan; Wutao Lin; Yue Feng 002; Mingming Sun 001; Ping Li 001 (CIKM, 2018)

Collaborative Multi-objective Ranking. - Jun Hu; Ping Li 001 (CIKM, 2018)

FastInput: Improving Input Efficiency on Mobile Devices. - Jingyuan Zhang; Xin Wang 017; Yue Feng 002; Mingming Sun 001; Ping Li 001 (CIKM, 2018)

Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain. - Mingming Sun 001; Xu Li 001; Ping Li 001 (EMNLP, 2018)

Multi-view Feature Selection for Heterogeneous Face Recognition. - Jie Gui; Ping Li 001 (ICDM, 2018)

Provable Variable Selection for Streaming Features. - Jing Wang 021; Jie Shen 005; Ping Li 001 (ICML, 2018)

R 2 SDH: Robust Rotated Supervised Discrete Hashing. - Jie Gui; Ping Li 001 (KDD, 2018)

Collaborative Filtering via Additive Ordinal Regression. - Jun Hu; Ping Li 001 (WSDM, 2018)

Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. - Mingming Sun 001; Xu Li 001; Xin Wang 017; Miao Fan; Yue Feng 002; Ping Li 001 (WSDM, 2018)

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. - Martin Slawski; Ping Li 001 (IEEE Trans. Inf. Theory, 2018)

Multi-Agent Discussion Mechanism for Natural Language Generation. - Xu Li 001; Mingming Sun 001; Ping Li 001 (AAAI, 2019)

Sign-Full Random Projections. - Ping Li 001 (AAAI, 2019)

End-to-end Deep Reinforcement Learning Based Coreference Resolution. - Hongliang Fei; Xu Li 001; Dingcheng Li; Ping Li 001 (ACL (1), 2019)

Robust Matrix Completion from Quantized Observations. - Jie Shen 005; Pranjal Awasthi; Ping Li 001 (AISTATS, 2019)

Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation. - Mingming Sun 001; Ping Li 001 (AISTATS, 2019)

Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. - Miao Fan; Yeqi Bai; Mingming Sun 001; Ping Li 001 (CIKM, 2019)

MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. - Miao Fan; Jizhou Huang; An Zhuo; Ying Li; Ping Li 001; Haifeng Wang 001 (CIKM, 2019)

AIBox: CTR Prediction Model Training on a Single Node. - Weijie Zhao 001; Jingyuan Zhang; Deping Xie; Yulei Qian; Ronglai Jia; Ping Li 001 (CIKM, 2019)

Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews. - Miao Fan; Chao Feng; Mingming Sun 001; Ping Li 001 (EMNLP/IJCNLP (1), 2019)

On Efficient Retrieval of Top Similarity Vectors. - Shulong Tan; Zhixin Zhou; Zhaozhuo Xu; Ping Li 001 (EMNLP/IJCNLP (1), 2019)

On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training. - Ping Li 001; Phan-Minh Nguyen (ICLR, 2019)

Coreference Aware Representation Learning for Neural Named Entity Recognition. - Zeyu Dai; Hongliang Fei; Ping Li 001 (IJCAI, 2019)

Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. - Hang Zhang; Martin Slawski; Ping Li 001 (ISIT, 2019)

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. - Miao Fan; Jiacheng Guo; Shuai Zhu; Shuo Miao; Mingming Sun 001; Ping Li 001 (KDD, 2019)

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. - Hongliang Fei; Shulong Tan; Ping Li 001 (KDD, 2019)

Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. - Dingcheng Li; Siamak Zamani; Jingyuan Zhang; Ping Li 001 (NAACL-HLT (1), 2019)

Random Projections with Asymmetric Quantization. - Xiaoyun Li; Ping Li 001 (NeurIPS, 2019)

Generalization Error Analysis of Quantized Compressive Learning. - Xiaoyun Li; Ping Li 001 (NeurIPS, 2019)

Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling. - Ping Li 001; Xiaoyun Li; Cun-Hui Zhang (NeurIPS, 2019)

Outlier Detection and Robust PCA Using a Convex Measure of Innovation. - Mostafa Rahmani; Ping Li 001 (NeurIPS, 2019)

Towards Practical Alternating Least-Squares for CCA. - Zhiqiang Xu; Ping Li 001 (NeurIPS, 2019)

Möbius Transformation for Fast Inner Product Search on Graph. - Zhixin Zhou; Shulong Tan; Zhaozhuo Xu; Ping Li 001 (NeurIPS, 2019)

Reading Customer Reviews to Answer Product-related Questions. - Miao Fan; Chao Feng; Mingming Sun 001; Ping Li 001; Haifeng Wang 001 (SDM, 2019)

TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. - Dingcheng Li; Jingyuan Zhang; Ping Li 001 (SDM, 2019)

Deep Skip-Gram Networks for Text Classification. - Chaochun Liu; Yaliang Li; Hongliang Fei; Ping Li 001 (SDM, 2019)

A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. - Martin Slawski; Mostafa Rahmani; Ping Li 001 (UAI, 2019)

Knowledge Graph Embedding Based Question Answering. - Xiao Huang 001; Jingyuan Zhang; Dingcheng Li; Ping Li 001 (WSDM, 2019)

Product-Aware Helpfulness Prediction of Online Reviews. - Miao Fan; Chao Feng; Lin Guo; Mingming Sun 001; Ping Li 001 (WWW, 2019)

Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. - Dingcheng Li; Jingyuan Zhang; Ping Li 001 (WWW, 2019)

Optimistic Adaptive Acceleration for Optimization. - Jun-Kun Wang; Xiaoyun Li; Ping Li 001 (CoRR, 2019)

Graph Analysis and Graph Pooling in the Spatial Domain. - Mostafa Rahmani; Ping Li 001 (CoRR, 2019)

A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. - Fan Zhou; Ping Li 001 (CoRR, 2019)

Outlier Detection and Data Clustering via Innovation Search. - Mostafa Rahmani; Ping Li 001 (CoRR, 2019)

IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. - Xiaoyun Li; Chengxi Wu; Ping Li 001 (AAAI, 2020)

Distributed Primal-Dual Optimization for Online Multi-Task Learning. - Peng Yang 013; Ping Li 001 (AAAI, 2020)

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. - Haiyan Yin; Dingcheng Li; Xu Li 001; Ping Li 001 (AAAI, 2020)

Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. - Hongliang Fei; Ping Li 001 (ACL, 2020)

Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts. - Jingyuan Zhang; Mingming Sun 001; Yue Feng 002; Ping Li 001 (ACL, 2020)

An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. - Yunfeng Cai; Ping Li 001 (AISTATS, 2020)

Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. - Yunfeng Cai; Ping Li 001 (AISTATS, 2020)

Adaptive Online Kernel Sampling for Vertex Classification. - Peng Yang 013; Ping Li 001 (AISTATS, 2020)

Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. - Jerry Chee; Ping Li 001 (IEEE BigData, 2020)

Sample Optimization For Display Advertising. - Hongliang Fei; Shulong Tan; Pengju Guo; Wenbo Zhang; Hongfang Zhang; Ping Li 001 (CIKM, 2020)

A Reinforced Semi-supervised Neural Network for Helpful Review Identification. - Yue Feng 002; Miao Fan; Mingming Sun 001; Ping Li 001 (CIKM, 2020)

Bessel Smoothing and Multi-Distribution Property Estimation. - Yi Hao; Ping Li 001 (COLT, 2020)

Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. - Xiao-Tong Yuan; Ping Li 001 (COLT, 2020)

Randomized Kernel Multi-View Discriminant Analysis. - Xiaoyun Li; Jie Gui; Ping Li 001 (ECAI, 2020)

Toward Faster and Simpler Matrix Normalization via Rank-1 Update. - Tan Yu; Yunfeng Cai; Ping Li 001 (ECCV (19), 2020)

A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression. - Mingming Sun 001; Wenyue Hua; Zoey Liu; Xin Wang 017; Kangjie Zheng; Ping Li 001 (EMNLP (1), 2020)

Toward Communication Efficient Adaptive Gradient Method. - Xiangyi Chen; Xiaoyun Li; Ping Li 001 (FODS, 2020)

Classification Acceleration via Merging Decision Trees. - Chenglin Fan; Ping Li 001 (FODS, 2020)

SONG: Approximate Nearest Neighbor Search on GPU. - Weijie Zhao 001; Shulong Tan; Ping Li 001 (ICDE, 2020)

The Necessity of Geometrical Representation for Deep Graph Analysis. - Mostafa Rahmani; Ping Li 001 (ICDM, 2020)

Optimal Estimator for Unlabeled Linear Regression. - Hang Zhang; Ping Li 001 (ICML, 2020)

Combo-Attention Network for Baidu Video Advertising. - Tan Yu; Yi Yang 031; Yi Li; Xiaodong Chen; Mingming Sun 001; Ping Li 001 (KDD, 2020)

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. - Weijie Zhao 001; Deping Xie; Ronglai Jia; Yulei Qian; Ruiquan Ding; Mingming Sun 001; Ping Li 001 (MLSys, 2020)

Optimal Prediction of the Number of Unseen Species with Multiplicity. - Yi Hao; Ping Li 001 (NeurIPS, 2020)

Ratio Trace Formulation of Wasserstein Discriminant Analysis. - Hexuan Liu; Yunfeng Cai; You-Lin Chen; Ping Li 001 (NeurIPS, 2020)

Thunder: a Fast Coordinate Selection Solver for Sparse Learning. - Shaogang Ren; Weijie Zhao 001; Ping Li 001 (NeurIPS, 2020)

Towards Better Generalization of Adaptive Gradient Methods. - Yingxue Zhou; Belhal Karimi; Jinxing Yu; Zhiqiang Xu; Ping Li 001 (NeurIPS, 2020)

An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. - Guiliang Liu; Xu Li 001; Mingming Sun 001; Ping Li 001 (SDM, 2020)

Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. - Dingcheng Li; Xu Li 001; Jun Wang; Ping Li 001 (SIGIR, 2020)

A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. - Zhiqiang Xu; Ping Li 001 (UAI, 2020)

Fast Item Ranking under Neural Network based Measures. - Shulong Tan; Zhixin Zhou; Zhaozhuo Xu; Ping Li 001 (WSDM, 2020)

Extracting Knowledge from Web Text with Monte Carlo Tree Search. - Guiliang Liu; Xu Li 001; Jiakang Wang; Mingming Sun 001; Ping Li 001 (WWW, 2020)

Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. - Shaogang Ren; Dingcheng Li; Zhixin Zhou; Ping Li 001 (WWW, 2020)

Improved Touch-screen Inputting Using Sequence-level Prediction Generation. - Xin Wang 017; Xu Li 001; Jinxing Yu; Mingming Sun 001; Ping Li 001 (WWW, 2020)

Efficient Online Multi-Task Learning via Adaptive Kernel Selection. - Peng Yang 013; Ping Li 001 (WWW, 2020)

FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. - Farzin Haddadpour; Belhal Karimi; Ping Li 001; Xiaoyun Li (CoRR, 2020)

Tensor Completion via Tensor Networks with a Tucker Wrapper. - Yunfeng Cai; Ping Li 001 (CoRR, 2020)

Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. - Martin Slawski; Emanuel Ben-David; Ping Li 001 (J. Mach. Learn. Res., 2020)

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. - Xiao-Tong Yuan; Ping Li 001 (J. Mach. Learn. Res., 2020)

A Blind Block Term Decomposition of High Order Tensors. - Yunfeng Cai; Ping Li 001 (AAAI, 2021)

Rejection Sampling for Weighted Jaccard Similarity Revisited. - Xiaoyun Li; Ping Li 001 (AAAI, 2021)

Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. - Jianwen Xie; Zilong Zheng; Ping Li 001 (AAAI, 2021)

Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. - Tan Yu; Xiaoyun Li; Ping Li 001 (AAAI, 2021)

An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. - Jun-Kun Wang; Xiaoyun Li; Belhal Karimi; Ping Li 001 (ACML, 2021)

Provable Data Clustering via Innovation Search. - Weiwei Li 006; Mostafa Rahmani; Ping Li 001 (ACSCC, 2021)

Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. - Mostafa Rahmani; Rasoul Shafipour; Ping Li 001 (ACSCC, 2021)

Identification of Matrix Joint Block Diagonalization. - Yunfeng Cai; Ping Li 001 (AISTATS, 2021)

One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements. - Xiaoyun Li; Ping Li 001 (AISTATS, 2021)

On the Faster Alternating Least-Squares for CCA. - Zhiqiang Xu; Ping Li 001 (AISTATS, 2021)

Principal Subspace Estimation Under Information Diffusion. - Fan Zhou; Ping Li 001; Zhixin Zhou (AISTATS, 2021)

Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. - Shulong Tan; Meifang Li; Weijie Zhao 001; Yandan Zheng; Xin Pei; Ping Li 001 (IEEE BigData, 2021)

MVT: Multi-view Vision Transformer for 3D Object Recognition. - Shuo Chen 010; Tan Yu; Ping Li 001 (BMVC, 2021)

Rethinking Token-Mixing MLP for MLP-based Vision Backbone. - Tan Yu; Xu Li 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (BMVC, 2021)

Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. - Xin Wang 017; Peng Yang 013; Shaopeng Chen; Lin Liu; Lian Zhao; Jiacheng Guo; Mingming Sun 001; Ping Li 001 (CIKM, 2021)

Adversarial Kernel Sampling on Class-imbalanced Data Streams. - Peng Yang 013; Ping Li 001 (CIKM, 2021)

Multiple Exemplars Learning for Fast Image Retrieval. - Tan Yu; Ping Li 001 (CIKM, 2021)

MixBERT for Image-Ad Relevance Scoring in Advertising. - Tan Yu; Xiaokang Li; Jianwen Xie; Ruiyang Yin; Qing Xu; Ping Li 001 (CIKM, 2021)

Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. - Tan Yu; Yi Yang 031; Hongliang Fei; Yi Li; Xiaodong Chen; Ping Li 001 (CIKM, 2021)

Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. - Tan Yu; Yi Yang 031; Yi Li; Lin Liu; Mingming Sun 001; Ping Li 001 (CIKM, 2021)

Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. - Dongsheng An; Jianwen Xie; Ping Li 001 (CVPR, 2021)

Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. - Zilong Zheng; Jianwen Xie; Ping Li 001 (CVPR, 2021)

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. - Dingcheng Li; Hongliang Fei; Shaogang Ren; Ping Li 001 (EMNLP (Findings), 2021)

Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval. - Haoliang Liu; Tan Yu; Ping Li 001 (EMNLP (1), 2021)

Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. - Mostafa Rahmani; Ping Li 001 (ICASSP, 2021)

LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. - Khoa D. Doan; Yingjie Lao; Weijie Zhao 001; Ping Li 001 (ICCV, 2021)

Robust Watermarking for Deep Neural Networks via Bi-level Optimization. - Peng Yang 013; Yingjie Lao; Ping Li 001 (ICCV, 2021)

TIRA in Baidu Image Advertising. - Tan Yu; Xuemeng Yang; Yan Jiang; Hongfang Zhang; Weijie Zhao 001; Ping Li 001 (ICDE, 2021)

Causal Discovery with Flow-based Conditional Density Estimation. - Shaogang Ren; Haiyan Yin; Mingming Sun 001; Ping Li 001 (ICDM, 2021)

Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. - Peng Yang 013; Xiaoyun Li; Ping Li 001 (ICDM, 2021)

Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. - Yang Zhao; Jianwen Xie; Ping Li 001 (ICLR, 2021)

On Estimation in Latent Variable Models. - Guanhua Fang; Ping Li 001 (ICML, 2021)

On Variational Inference in Biclustering Models. - Guanhua Fang; Ping Li 001 (ICML, 2021)

Quantization Algorithms for Random Fourier Features. - Xiaoyun Li; Ping Li 001 (ICML, 2021)

Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations. - Fan Zhou; Ping Li 001 (ICML, 2021)

Textual Analysis and Timely Detection of Suspended Social Media Accounts. - Dominic Seyler; Shulong Tan; Dingcheng Li; Jingyuan Zhang; Ping Li 001 (ICWSM, 2021)

Two-Timescale Stochastic EM Algorithms. - Belhal Karimi; Ping Li 001 (ISIT, 2021)

FROS: Fast Regularized Optimization by Sketching. - Yingzhen Yang; Ping Li 001 (ISIT, 2021)

Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. - Hang Zhang; Ping Li 001 (ISIT, 2021)

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. - Shulong Tan; Zhaozhuo Xu; Weijie Zhao 001; Hongliang Fei; Zhixin Zhou; Ping Li 001 (KDD, 2021)

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. - Hongliang Fei; Tan Yu; Ping Li 001 (NAACL-HLT, 2021)

A Note on Sparse Generalized Eigenvalue Problem. - Yunfeng Cai; Guanhua Fang; Ping Li 001 (NeurIPS, 2021)

Backdoor Attack with Imperceptible Input and Latent Modification. - Khoa D. Doan; Yingjie Lao; Ping Li 001 (NeurIPS, 2021)

A Comprehensively Tight Analysis of Gradient Descent for PCA. - Zhiqiang Xu; Ping Li 001 (NeurIPS, 2021)

Mitigating Forgetting in Online Continual Learning with Neuron Calibration. - Haiyan Yin; Peng Yang 013; Ping Li 001 (NeurIPS, 2021)

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. - Jing Zhang 052; Jianwen Xie; Nick Barnes; Ping Li 001 (NeurIPS, 2021)

Rate-Optimal Subspace Estimation on Random Graphs. - Zhixin Zhou; Fan Zhou; Ping Li 001; Cun-Hui Zhang (NeurIPS, 2021)

Towards finding the shortest-paths for 3D rigid bodies. - Weifu Wang 001; Ping Li 001 (Robotics: Science and Systems, 2021)

GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. - Hongliang Fei; Jingyuan Zhang; Xingxuan Zhou; Junhao Zhao; Xinyang Qi; Ping Li 001 (SIGIR, 2021)

Multi-Type Textual Reasoning for Product-Aware Answer Generation. - Yue Feng 002; Zhaochun Ren; Weijie Zhao 001; Mingming Sun 001; Ping Li 001 (SIGIR, 2021)

Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. - Tan Yu; Yi Yang 031; Yi Li; Lin Liu; Hongliang Fei; Ping Li 001 (SIGIR, 2021)

ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. - Yue Zhang; Hongliang Fei; Ping Li 001 (SIGIR, 2021)

Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. - Zhiqiang Xu; Dong Li; Weijie Zhao 001; Xing Shen; Tianbo Huang; Xiaoyun Li; Ping Li 001 (SIGMOD Conference, 2021)

Efficient greedy coordinate descent via variable partitioning. - Huang Fang; Guanhua Fang; Tan Yu; Ping Li 001 (UAI, 2021)

Consistent Sampling Through Extremal Process. - Ping Li 001; Xiaoyun Li; Gennady Samorodnitsky; Weijie Zhao 001 (WWW, 2021)

MQuadE: a Unified Model for Knowledge Fact Embedding. - Jinxing Yu; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (WWW, 2021)

Cross-lingual Language Model Pretraining for Retrieval. - Puxuan Yu; Hongliang Fei; Ping Li 001 (WWW, 2021)

S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. - Tan Yu; Xu Li 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (CoRR, 2021)

C-MinHash: Rigorously Reducing K Permutations to Two. - Xiaoyun Li; Ping Li 001 (CoRR, 2021)

C-MinHash: Practically Reducing Two Permutations to Just One. - Xiaoyun Li; Ping Li 001 (CoRR, 2021)

Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. - Belhal Karimi; Xiaoyun Li; Ping Li 001 (CoRR, 2021)

C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations. - Xiaoyun Li; Ping Li 001 (CoRR, 2021)

On the Riemannian Search for Eigenvector Computation. - Zhiqiang Xu; Ping Li 001 (J. Mach. Learn. Res., 2021)

Fast Neural Ranking on Bipartite Graph Indices. - Shulong Tan; Weijie Zhao 001; Ping Li 001 (Proc. VLDB Endow., 2021)

Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. - Mostafa Rahmani; Ping Li 001 (IEEE Trans. Signal Process., 2021)

DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. - Yingjie Lao; Weijie Zhao 001; Peng Yang 013; Ping Li 001 (AAAI, 2022)

Efficient Compact Bilinear Pooling via Kronecker Product. - Tan Yu; Yunfeng Cai; Ping Li 001 (AAAI, 2022)

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. - Xin Wang 017; Minlong Peng; Mingming Sun 001; Ping Li 001 (ACL (1), 2022)

On the Convergence of Decentralized Adaptive Gradient Methods. - Xiangyi Chen; Belhal Karimi; Weijie Zhao 001; Ping Li 001 (ACML, 2022)

Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. - You-Lin Chen; Zhiqiang Xu; Ping Li 001 (ACML, 2022)

Adaptive A/B Test on Networks with Cluster Structures. - Yang Liu; Yifan Zhou; Ping Li 001; Feifang Hu (AISTATS, 2022)

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. - Belhal Karimi; Hoi-To Wai; Eric Moulines; Ping Li 001 (ALT, 2022)

Faster Noisy Power Method. - Zhiqiang Xu; Ping Li 001 (ALT, 2022)

Enhanced Video BERT for Fast Video Advertisement Retrieval. - Yi Yang 031; Tan Yu; Jie Liu; Zhipeng Jin; Xuewu Jiao; Yi Li; Shuanglong Li; Ping Li 001 (IEEE Big Data, 2022)

Boost CTR Prediction for New Advertisements via Modeling Visual Content. - Tan Yu; Zhipeng Jin; Jie Liu; Yi Yang 001; Hongliang Fei; Ping Li 001 (IEEE Big Data, 2022)

Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. - Tan Yu; Jie Liu; Yi Yang 031; Yi Li; Hongliang Fei; Ping Li 001 (IEEE Big Data, 2022)

Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. - Tan Yu; Jun Zhi; Yufei Zhang; Jian Li; Hongliang Fei; Ping Li 001 (IEEE Big Data, 2022)

PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Weijie Zhao 001; Xuewu Jiao; Mingqing Hu; Xiaoyun Li; Xiangyu Zhang; Ping Li 001 (IEEE Big Data, 2022)

FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. - Weijie Zhao 001; Xuewu Jiao; Xinsheng Luo; Jingxue Li; Belhal Karimi; Ping Li 001 (IEEE Big Data, 2022)

Feature Fusion Network for Personalized Online Advertising Systems. - Weijie Zhao 001; Peng Yang 013; Dong Li; Xing Shen; Lin Li 001; Ping Li 001 (IEEE Big Data, 2022)

BOAT: Bilateral Local Attention Vision Transformer. - Tan Yu; Gangming Zhao; Ping Li 001; Yizhou Yu (BMVC, 2022)

CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. - Tairan Huang; Xu Li 001; Hao Li 073; Mingming Sun 001; Ping Li 001 (CoG, 2022)

℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. - Ping Li 001; Xiaoyun Li; Gennady Samorodnitsky (CIKM, 2022)

GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. - Ping Li 001; Weijie Zhao 001 (CIKM, 2022)

Flow-based Perturbation for Cause-effect Inference. - Shaogang Ren; Ping Li 001 (CIKM, 2022)

Latent Coreset Sampling based Data-Free Continual Learning. - Zhuoyi Wang; Dingcheng Li; Ping Li 001 (CIKM, 2022)

Texture BERT for Cross-modal Texture Image Retrieval. - Zelai Xu; Tan Yu; Ping Li 001 (CIKM, 2022)

Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. - Tan Yu; Jie Liu; Zhipeng Jin; Yi Yang 031; Hongliang Fei; Ping Li 001 (CIKM, 2022)

NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. - Faysal Hossain Shezan; Yingjie Lao; Minlong Peng; Xin Wang 017; Mingming Sun 001; Ping Li 001 (CNS, 2022)

Continual Learning for Natural Language Generations with Transformer Calibration. - Peng Yang 013; Dingcheng Li; Ping Li 001 (CoNLL, 2022)

One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. - Khoa D. Doan; Peng Yang 013; Ping Li 001 (CVPR, 2022)

SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. - Jinxing Yu; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (HT, 2022)

Identification for Deep Neural Network: Simply Adjusting Few Weights! - Yingjie Lao; Peng Yang 013; Weijie Zhao 001; Ping Li 001 (ICDE, 2022)

Causal Effect Prediction with Flow-based Inference. - Shaogang Ren; Dingcheng Li; Ping Li 001 (ICDM, 2022)

On Distributed Adaptive Optimization with Gradient Compression. - Xiaoyun Li; Belhal Karimi; Ping Li 001 (ICLR, 2022)

Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix. - Hanyu Peng; Mingming Sun 001; Ping Li 001 (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 098; Ping Li 001 (ICLR, 2022)

Discriminative Similarity for Data Clustering. - Yingzhen Yang; Ping Li 001 (ICLR, 2022)

Constructing Orthogonal Convolutions in an Explicit Manner. - Tan Yu; Jun Li 098; Yunfeng Cai; Ping Li 001 (ICLR, 2022)

Minimax M-estimation under Adversarial Contamination. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ICML, 2022)

Nearly Optimal Catoni's M-estimator for Infinite Variance. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ICML, 2022)

C-MinHash: Improving Minwise Hashing with Circulant Permutation. - Xiaoyun Li; Ping Li 001 (ICML, 2022)

U-BERT for Fast and Scalable Text-Image Retrieval. - Tan Yu; Hongliang Fei; Ping Li 001 (ICTIR, 2022)

Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. - Siamak Zamany; Dingcheng Li; Hongliang Fei; Ping Li 001 (ICTIR, 2022)

Learning Cluster Causal Diagrams: An Information-Theoretic Approach. - Xueyan Niu 001; Xiaoyun Li; Ping Li 001 (IJCAI, 2022)

Sensitivity of Under-Determined Linear System. - Yunfeng Cai; Guanhua Fang; Ping Li 001 (ISIT, 2022)

Distances Release with Differential Privacy in Tree and Grid Graph. - Chenglin Fan; Ping Li 001 (ISIT, 2022)

Regret Analysis for RL using Renewal Bandit Feedback. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ITW, 2022)

Metric Nearness with Minimum Distortion: Optimal and Approximation. - Chenglin Fan; Ping Li 001 (ITW, 2022)

Integrity Authentication in Tree Models. - Weijie Zhao 001; Yingjie Lao; Ping Li 001 (KDD, 2022)

Variational Flow Graphical Model. - Shaogang Ren; Belhal Karimi; Dingcheng Li; Ping Li 001 (KDD, 2022)

EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. - Tan Yu; Jie Liu; Yi Yang 031; Yi Li; Hongliang Fei; Ping Li 001 (KDD, 2022)

Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge. - Yue Feng 002; Zhen Han; Mingming Sun 001; Ping Li 001 (NAACL-HLT (Findings), 2022)

Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval. - Jiaheng Liu; Tan Yu; Hanyu Peng; Mingming Sun 001; Ping Li 001 (NAACL-HLT (Findings), 2022)

Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. - Haiyan Yin; Dingcheng Li; Ping Li 001 (NAACL-HLT, 2022)

PromptGen: Automatically Generate Prompts using Generative Models. - Yue Zhang; Hongliang Fei; Dingcheng Li; Ping Li 001 (NAACL-HLT (Findings), 2022)

Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. - Khoa D. Doan; Yingjie Lao; Ping Li 001 (NeurIPS, 2022)

Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate. - Chenglin Fan; Ping Li 001; Xiaoyun Li (NeurIPS, 2022)

SignRFF: Sign Random Fourier Features. - Xiaoyun Li; Ping Li 001 (NeurIPS, 2022)

On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. - Xiaotong Yuan; Ping Li 001 (NeurIPS, 2022)

Sensitivity-aware Distance Measurement for Boosting Metric Learning. - Haoliang Liu; Tan Yu; Ping Li 001 (SDM, 2022)

Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts. - Yue Zhang; Mingming Sun 001; Jingyuan Zhang; Ping Li 001 (SDM, 2022)

Cross-Probe BERT for Fast Cross-Modal Search. - Tan Yu; Hongliang Fei; Ping Li 001 (SIGIR, 2022)

End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. - Yue Zhang; Hongliang Fei; Ping Li 001 (SIGIR, 2022)

Offline change detection under contamination. - Sujay Bhatt; Guanhua Fang; Ping Li 001 (UAI, 2022)

Noisy L0-sparse subspace clustering on dimensionality reduced data. - Yingzhen Yang; Ping Li 001 (UAI, 2022)

Calibrating CNNs for Few-Shot Meta Learning. - Peng Yang 013; Shaogang Ren; Yang Zhao; Ping Li 001 (WACV, 2022)

S2-MLP: Spatial-Shift MLP Architecture for Vision. - Tan Yu; Xu Li 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (WACV, 2022)

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Weijie Zhao 001; Xuewu Jiao; Mingqing Hu; Xiaoyun Li; Xiangyu Zhang; Ping Li 001 (CoRR, 2022)

On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. - Zeke Xie; Qian-Yuan Tang 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (CoRR, 2022)

Label-Smoothed Backdoor Attack. - Minlong Peng; Zidi Xiong; Mingming Sun 001; Ping Li 001 (CoRR, 2022)

A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. - Belhal Karimi; Ping Li 001 (CoRR, 2022)

Breaking the Linear Error Barrier in Differentially Private Graph Distance Release. - Chenglin Fan; Ping Li 001; Xiaoyun Li (CoRR, 2022)

Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. - Ping Li 001; Weijie Zhao 001 (CoRR, 2022)

Boosting the Confidence of Generalization for L2-Stable Randomized Learning Algorithms. - Xiao-Tong Yuan; Ping Li 001 (CoRR, 2022)

Towards Constructing Finer then Homotopy Path Classes. - Weifu Wang 001; Ping Li 001 (CoRR, 2022)

Finding Control Synthesis for Kinematic Shortest Paths. - Weifu Wang 001; Ping Li 001 (CoRR, 2022)

Planning and Formulations in Pursuit-Evasion: Keep-away Games and Their Strategies. - Weifu Wang 001; Ping Li 001 (CoRR, 2022)

Planning through Workspace Constraint Satisfaction and Optimization. - Weifu Wang 001; Ping Li 001 (CoRR, 2022)

Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. - Zhaozhuo Xu; Weijie Zhao 001; Shulong Tan; Zhixin Zhou; Ping Li 001 (CoRR, 2022)

Noisy 𝓁0-Sparse Subspace Clustering on Dimensionality Reduced Data. - Yingzhen Yang; Ping Li 001 (CoRR, 2022)

pGMM Kernel Regression and Comparisons with Boosted Trees. - Ping Li 001; Weijie Zhao 001 (CoRR, 2022)

Package for Fast ABC-Boost. - Ping Li 001; Weijie Zhao 001 (CoRR, 2022)

Catoni-style Confidence Sequences under Infinite Variance. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (CoRR, 2022)

Boost CTR Prediction for New Advertisements via Modeling Visual Content. - Tan Yu; Zhipeng Jin; Jie Liu; Yi Yang 031; Hongliang Fei; Ping Li 001 (CoRR, 2022)

CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. - Khoa D. Doan; Jianwen Xie; Yaxuan Zhu; Yang Zhao; Ping Li 001 (CoRR, 2022)

Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. - Yue Zhang; Hongliang Fei; Dingcheng Li; Tan Yu; Ping Li 001 (CoRR, 2022)

Constrained Approximate Similarity Search on Proximity Graph. - Weijie Zhao 001; Shulong Tan; Ping Li 001 (CoRR, 2022)

R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition. - Shuo Chen 010; Tan Yu; Ping Li 001 (CoRR, 2022)

Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations. - Tan Yu; Ping Li 001 (CoRR, 2022)

Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression. - Xiaoyun Li; Ping Li 001 (CoRR, 2022)

Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence. - Zeke Xie; Qian-Yuan Tang 001; Zheng He; Mingming Sun 001; Ping Li 001 (CoRR, 2022)

Stability and Risk Bounds of Iterative Hard Thresholding. - Xiao-Tong Yuan; Ping Li 001 (IEEE Trans. Inf. Theory, 2022)

The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors. - Hang Zhang; Martin Slawski; Ping Li 001 (IEEE Trans. Inf. Theory, 2022)

Defending Backdoor Attacks on Vision Transformer via Patch Processing. - Khoa D. Doan; Yingjie Lao; Peng Yang 013; Ping Li 001 (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 001 (AAAI, 2023)

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. - Yang Zhao; Jianwen Xie; Ping Li 001 (AAAI, 2023)

A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. - Ye Ma; Mingming Sun 001; Ping Li 001 (ACL (Findings), 2023)

Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. - Yue Zhang; Hongliang Fei; Ping Li 001 (ACL (Findings), 2023)

Piecewise Stationary Bandits under Risk Criteria. - Sujay Bhatt; Guanhua Fang; Ping Li 001 (AISTATS, 2023)

Improved Bound on Generalization Error of Compressed KNN Estimator. - Hang Zhang; Ping Li 001 (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 001 (AISTATS, 2023)

Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions. - Fan Zhou; Ping Li 001; Cun-Hui Zhang (ALT, 2023)

Dataset Pruning: Reducing Training Data by Examining Generalization Influence. - Shuo Yang 006; Zeke Xie; Hanyu Peng; Min Xu 001; Mingming Sun 001; Ping Li 001 (ICLR, 2023)

Improved Convergence of Differential Private SGD with Gradient Clipping. - Huang Fang; Xiaoyun Li; Chenglin Fan; Ping Li 001 (ICLR, 2023)

Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. - Yingzhen Yang; Ping Li 001 (ICLR, 2023)

Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. - Xiaotong Yuan; Ping Li 001 (ICLR, 2023)

LSDS++ : Dual Sampling for Accelerated k-means++. - Chenglin Fan; Ping Li 001; Xiaoyun Li (ICML, 2023)

Regression with Label Permutation in Generalized Linear Model. - Guanhua Fang; Ping Li 001 (ICML, 2023)

Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation. - Xiaoyun Li; Ping Li 001 (ICML, 2023)

A/B Testing in Network Data with Covariate-Adaptive Randomization. - Jialu Wang; Ping Li 001; Feifang Hu (ICML, 2023)

One-Step Estimator for Permuted Sparse Recovery. - Hang Zhang; Ping Li 001 (ICML, 2023)

OPORP: One Permutation + One Random Projection. - Ping Li 001; Xiaoyun Li (KDD, 2023)

k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. - Chenglin Fan; Ping Li 001; Xiaoyun Li (NeurIPS, 2023)

Smooth Flipping Probability for Differential Private Sign Random Projection Methods. - Ping Li 001; Xiaoyun Li (NeurIPS, 2023)

On the Overlooked Structure of Stochastic Gradients. - Zeke Xie; Qian-Yuan Tang 001; Mingming Sun 001; Ping Li 001 (NeurIPS, 2023)

L2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting. - Xiaotong Yuan; Ping Li 001 (NeurIPS, 2023)

Asymmetric Hashing for Fast Ranking via Neural Network Measures. - Khoa D. Doan; Shulong Tan; Weijie Zhao 001; Ping Li 001 (SIGIR, 2023)

Power Norm Based Lifelong Learning for Paraphrase Generations. - Dingcheng Li; Peng Yang 013; Yue Zhang; Ping Li 001 (SIGIR, 2023)

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). - Xinyi Zheng; Weijie Zhao 001; Xiaoyun Li; Ping Li 001 (SIGIR, 2023)

Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. - Belhal Karimi; Ping Li 001; Xiaoyun Li (UAI, 2023)

Copula for Instance-wise Feature Selection and Rank. - Hanyu Peng; Guanhua Fang; Ping Li 001 (UAI, 2023)

Greed is good: correspondence recovery for unlabeled linear regression. - Hang Zhang; Ping Li 001 (UAI, 2023)

Dynamic Re-weighting for Long-tailed Semi-supervised Learning. - Hanyu Peng; Weiguo Pian; Mingming Sun 001; Ping Li 001 (WACV, 2023)

Learning Latent Structural Relations with Message Passing Prior. - Shaogang Ren; Hongliang Fei; Dingcheng Li; Ping Li 001 (WACV, 2023)

Differential Privacy with Random Projections and Sign Random Projections. - Ping Li 001; Xiaoyun Li (CoRR, 2023)

Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. - Ping Li 001; Weijie Zhao 001; Chao Wang; Qi Xia; Alice Wu; Lijun Peng (CoRR, 2023)

Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling. - Xiaoyun Li; Ping Li 001 (CoRR, 2023)

Blockwise Feature Interaction in Recommendation Systems. - Weijie Zhao 001; Ping Li 001 (CoRR, 2023)

STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. - Belhal Karimi; Jianwen Xie; Ping Li 001 (CoRR, 2023)

Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix. - Yunfeng Cai; Xu Li 001; Mingming Sun 001; Ping Li 001 (CoRR, 2023)

Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. - Xiao-Tong Yuan; Ping Li 001 (J. Mach. Learn. Res., 2023)

Extreme Bandits Using Robust Statistics. - Sujay Bhatt; Ping Li 001; Gennady Samorodnitsky (IEEE Trans. Inf. Theory, 2023)

An Energy-Based Prior for Generative Saliency. - Jing Zhang 052; Jianwen Xie; Nick Barnes; Ping Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. - Anbang Xu; Tan Yu; Min Du 003; Pritam Gundecha; Yufan Guo; Xinliang Zhu; May Wang; Ping Li 001; Xinyun Chen (CIKM, 2024)

Stochastic Controlled Averaging for Federated Learning with Communication Compression. - Xinmeng Huang; Ping Li 001; Xiaoyun Li (ICLR, 2024)

Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. - Yancheng Wang; Ping Li 001; Yingzhen Yang (ICML, 2024)

Pb-Hash: Partitioned b-bit Hashing. - Ping Li 001; Weijie Zhao 001 (ICTIR, 2024)

Word Embedding with Neural Probabilistic Prior. - Shaogang Ren; Dingcheng Li; Ping Li 001 (SDM, 2024)

GUITAR: Gradient Pruning toward Fast Neural Ranking. - Weijie Zhao 001; Shulong Tan; Ping Li 001 (SIGIR, 2024)

Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. - Duy C. Hoang; Hung T. Q. Le; Rui Chu; Ping Li 001; Weijie Zhao 001; Yingjie Lao; Khoa D. Doan (CoRR, 2024)

Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. - Yang Liu; Yifan Zhou; Ping Li 001; Feifang Hu (J. Mach. Learn. Res., 2024)

Learning from Ambiguous Data with Hard Labels. - Zeke Xie; Zheng He; Nan Lu; Lichen Bai; Bao Li; Shuo Yang 006; Mingming Sun 001; Ping Li 001 (ICASSP, 2025)

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. - Yingzhen Yang; Ping Li 001 (ICLR, 2025)

On Penalization in Stochastic Multi-Armed Bandits. - Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (IEEE Trans. Inf. Theory, 2025)