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ORCIDPing Li 0001
Person information
- affiliation: LinkedIn Ads, Bellevue, WA, USA
- affiliation: Baidu Research USA, Bellevue, WA, USA
- affiliation (former): Rutgers University, Department of Statistics, Piscataway, NJ, USA
- affiliation (former): Cornell University, Department of Statistical Science, Ithaca, NY, USA
- affiliation (PhD): Stanford University, Department of Statistics, CA, USA
Other persons with the same name
- Ping Li — disambiguation page
- Ping Li 0002 — Eindhoven University of Technology, NL
- Ping Li 0003 — Shanghai Jiaotong University, Department of Electronic Engineering, China
- Ping Li 0004 — University of Hong Kong (HKU), Department of Mechanical Engineering, Hong Kong
- Ping Li 0005 — Chinese Academy of Railway Sciences, Beijing, China
- Ping Li 0006
![[0000-0002-8515-7773]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8515-7773")
(aka: Patrick L. Lee) — Hangzhou Dianzi University, School of Computer Science and Technology, China (and 2 more) - Ping Li 0007 — University of New South Wales, School of Engineering and Information Technology, Canberra, Australia
- Ping Li 0008 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China
- Li Ping 0001 (aka: Ping Li 0009) — City University of Hong Kong, Department of Electronic Engineering, Kowloon (and 1 more)
- Ping Li 0010 — Sun Yat-sen University, Department of Philosophy, Guangzhou, China
- Ping Li 0011 — South China University of Technology, School of Computer Science & Engineering, Guangzhou, China
- Ping Li 0012 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China (and 1 more)
- Ping Li 0013 — Second Affiliated Hospital of Harbin Medical University, Department of Radiology, China
- Ping Li 0014 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Ping Li 0015 — Shaanxi Normal University, College of Mathematics and Information Science, Xi'an, China
- Ping Li 0016 — Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 3 more)
- Ping Li 0017 — Zhejiang University, Institute of Industrial Process Control, Hangzhou, China
- Ping Li 0018 — South China Normal University, School of Computer Science, Guangzhou, China (and 2 more)
- Ping Li 0019 — Deakin University, School of Information Technology, Melbourne, Australia
- Ping Li 0020 — PLA Army Engineering University, College of Communication Engineering, Nanjing, China
- Ping Li 0021 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Ping Li 0022 — University of Hagen, Germany
- Ping Li 0023 — Beijing Jiaotong University, Department of Mathematics, China (and 1 more)
- Ping Li 0024 — Southwest Petroleum University, School of Computer Science, Chengdu, China
- Ping Li 0025 — Shaanxi Normal University, Xian, China (and 1 more)
- Ping Li 0026 — Hong Kong Polytechnic University, Faculty of Humanities, Hong Kong (and 2 more)
- Ping Li 0027 — Shandong University of Science and Technology, College of Mathematics and Systems Science, Qingdao, China (and 1 more)
- Ping Li 0028 — Beijing Institute of Technology, School of Mechatronical Engineering, China
- Ping Li 0029 — Shanghai Jiao Tong University, School of Electronic Information and Electric Engineering, Shanghai, China (and 1 more)
- Ping Li 0030 — Shanghai Broadband Network Center, S-BNC, Data and Virtual Research Room, National Engineering Research Center for Broadband Networks & Applications, China
- Ping Li 0031 — Southern University of Science and Technology, Department of Biomedical Engineering, Shenzhen, China (and 1 more)
- Ping Li 0032 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, China
- Ping Li 0033 — Xinjiang University, Ürümqi, College of Information Science and Engineering, China
- Ping Li 0034 — Changsha University of Science and Technology, School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, China (and 1 more)
- Ping Li 0035 — Hefei University of Technology, School of Mathematics, Hefei, China
- Ping Li 0036 — Huaqiao University, College of Information Science and Engineering, Xiamen, China (and 1 more)
- Ping Li 0037 — Beihang University, School of Economics and Management, Beijing, China
- Ping Li 0038 — China Academy of Railway Sciences Corporation Ltd., Beijing, China
- Ping Li 0039 — University of Shanghai for Science and Technology, Rehabilitation Engineering and Technology Institute, Shanghai, China
- Ping Li 0040 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, Nanjing, China (and 1 more)
- Ping Li 0041 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, China
- Ping Li 0042 — Power Device Business Group, China Resources Microelectronics (Chongqing) Limited, Chongqing, China (and 2 more)
- Ping Li 0044 — Beihang University, School of Biological Science and Medical Engineering, Key Laboratory for Biomechanics and Mechanobiology, Beijing, China
- Ping Li 0045 — Guangdong University of Technology, School of Computer Science and Technology, Guangzhou, China
- Ping Li 0046 — Beijing Institute of Technology, China
- Ping Li 0047 — Southwest University, College of Electronic and Information Engineering, Chongqing, China (and 1 more)
- Ping Li 0048 — Dalian Maritime University, Marine Electrical Engineering College, Dalian, China
- Ping Li 0049 — Yunnan University of Finance and Economics, Kunming, China
- Ping Li 0050 — Shanghai Jiao Tong University, China (and 1 more)
- Ping Li 0051 — Chengdu University of Technology, College of Management Science, Chengdu, China
- Ping Li 0052 — University of Science and Technology Liaoning, School of Electronic and Information Engineering, Anshan, China
- Ping Li 0053 — Huawei Technologies Co. Ltd., Theory Lab, Central Research Institute, Hong Kong (and 1 more)
- Ping Li 0054 — Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
- Ping Li 0055 — Wuhan University, School of Information Management, Wuhan, China
- Ping Li 0056 — Fujian Medical University, First Hospital of Quanzhou, Department of Gynecology and Obstetrics, Fujian, China
- Ping Li 0057 — Zhejiang University of Technology, School of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Ping Li 0058 — University of Leicester, Department of Engineering, Leicester, UK (and 1 more)
- Ping Li 0059 — Wuhan Business University, School of Foreign Languages, Wuhan, China
- Ping Li 0060 — Southwestern University of Finance and Economics, School of Economics Information Engineering, Chengdu, China
- Ping Li 0061 — University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Shanghai, China (and 1 more)
- Ping Li 0062 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Ping Li 0063 — Academy of Chinese Medicine Sciences, Guanganmen Hospital, Beijing, China
- Ping Li 0064 — Shandong University, School of Mathematics and System Sciences, Jinan, China
- Ping Li 0065 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2025
[j28]Guanhua Fang, Ping Li, Gennady Samorodnitsky:
On Penalization in Stochastic Multi-Armed Bandits. IEEE Trans. Inf. Theory 71(3): 1909-1925 (2025)- [c310]Yingzhen Yang, Ping Li:
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. ICLR 2025 - [i170]Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li:
Learning from Ambiguous Data with Hard Labels. CoRR abs/2501.01844 (2025) - 2024
- [j27]Yang Liu, Yifan Zhou, Ping Li, Feifang Hu:
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. J. Mach. Learn. Res. 25: 170:1-170:48 (2024) - [c309]Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen:
Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. CIKM 2024: 5599-5602 - [c308]Xinmeng Huang, Ping Li, Xiaoyun Li:
Stochastic Controlled Averaging for Federated Learning with Communication Compression. ICLR 2024 - [c307]Yancheng Wang, Ping Li, Yingzhen Yang:
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. ICML 2024 - [c306]Ping Li, Weijie Zhao:
Pb-Hash: Partitioned b-bit Hashing. ICTIR 2024: 239-246 - [c305]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. SDM 2024: 896-904 - [c304]Weijie Zhao, Shulong Tan, Ping Li:
GUITAR: Gradient Pruning toward Fast Neural Ranking. SIGIR 2024: 163-173 - [i169]Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan:
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR abs/2407.13803 (2024) - [i168]Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li:
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. CoRR abs/2409.03449 (2024) - [i167]Miao Fan, Yeqi Bai, Mingming Sun, Ping Li:
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. CoRR abs/2409.04009 (2024) - [i166]Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang:
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. CoRR abs/2411.18085 (2024) - 2023
- [j26]Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. J. Mach. Learn. Res. 24: 270:1-270:52 (2023) - [j25]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13100-13116 (2023) - [j24]Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits Using Robust Statistics. IEEE Trans. Inf. Theory 69(3): 1761-1776 (2023) - [c303]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI 2023: 506-515 - [c302]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI 2023: 10499-10509 - [c301]Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. AAAI 2023: 11345-11353 - [c300]Ye Ma, Mingming Sun, Ping Li:
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. ACL (Findings) 2023: 4218-4230 - [c299]Yue Zhang, Hongliang Fei, Ping Li:
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. ACL (Findings) 2023: 9880-9892 - [c298]Yaxuan Zhu, Jianwen Xie, Ping Li:
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS 2023: 4164-4180 - [c297]Sujay Bhatt, Guanhua Fang, Ping Li:
Piecewise Stationary Bandits under Risk Criteria. AISTATS 2023: 4313-4335 - [c296]Hang Zhang, Ping Li:
Improved Bound on Generalization Error of Compressed KNN Estimator. AISTATS 2023: 7578-7593 - [c295]Fan Zhou, Ping Li, Cun-Hui Zhang:
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions. ALT 2023: 1555-1578 - [c294]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. ICLR 2023 - [c293]Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li:
Improved Convergence of Differential Private SGD with Gradient Clipping. ICLR 2023 - [c292]Yingzhen Yang, Ping Li:
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. ICLR 2023 - [c291]Xiaotong Yuan, Ping Li:
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR 2023 - [c290]Chenglin Fan, Ping Li, Xiaoyun Li:
LSDS++ : Dual Sampling for Accelerated k-means++. ICML 2023: 9640-9649 - [c289]Guanhua Fang, Ping Li:
Regression with Label Permutation in Generalized Linear Model. ICML 2023: 9716-9760 - [c288]Xiaoyun Li, Ping Li:
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation. ICML 2023: 19638-19688 - [c287]Jialu Wang, Ping Li, Feifang Hu:
A/B Testing in Network Data with Covariate-Adaptive Randomization. ICML 2023: 35949-35969 - [c286]Hang Zhang, Ping Li:
One-Step Estimator for Permuted Sparse Recovery. ICML 2023: 41244-41267 - [c285]Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. KDD 2023: 1303-1315 - [c284]Chenglin Fan, Ping Li, Xiaoyun Li:
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. NeurIPS 2023 - [c283]Ping Li, Xiaoyun Li:
Smooth Flipping Probability for Differential Private Sign Random Projection Methods. NeurIPS 2023 - [c282]Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li:
On the Overlooked Structure of Stochastic Gradients. NeurIPS 2023 - [c281]Xiaotong Yuan, Ping Li:
L2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting. NeurIPS 2023 - [c280]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR 2023: 697-707 - [c279]Dingcheng Li, Peng Yang, Yue Zhang, Ping Li:
Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR 2023: 2266-2271 - [c278]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR 2023: 3374-3379 - [c277]Belhal Karimi, Ping Li, Xiaoyun Li:
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. UAI 2023: 1037-1046 - [c276]Hanyu Peng, Guanhua Fang, Ping Li:
Copula for Instance-wise Feature Selection and Rank. UAI 2023: 1651-1661 - [c275]Hang Zhang, Ping Li:
Greed is good: correspondence recovery for unlabeled linear regression. UAI 2023: 2509-2518 - [c274]Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li:
Learning Latent Structural Relations with Message Passing Prior. WACV 2023: 5323-5332 - [c273]Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li:
Dynamic Re-weighting for Long-tailed Semi-supervised Learning. WACV 2023: 6453-6463 - [i165]Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. CoRR abs/2301.03125 (2023) - [i164]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR abs/2301.09300 (2023) - [i163]Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. CoRR abs/2302.03505 (2023) - [i162]Hang Zhang, Ping Li:
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. CoRR abs/2303.11233 (2023) - [i161]Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. CoRR abs/2303.11649 (2023) - [i160]Yaxuan Zhu, Jianwen Xie, Ping Li:
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR abs/2304.07918 (2023) - [i159]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR abs/2304.13677 (2023) - [i158]Ping Li, Xiaoyun Li:
Differential Privacy with Random Projections and Sign Random Projections. CoRR abs/2306.01751 (2023) - [i157]Ping Li, Weijie Zhao, Chao Wang, Qi Xia, Alice Wu, Lijun Peng:
Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. CoRR abs/2306.07607 (2023) - [i156]Xiaoyun Li, Ping Li:
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling. CoRR abs/2306.07674 (2023) - [i155]Ye Ma, Mingming Sun, Ping Li:
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. CoRR abs/2306.12018 (2023) - [i154]Weijie Zhao, Ping Li:
Blockwise Feature Interaction in Recommendation Systems. CoRR abs/2306.15881 (2023) - [i153]Ping Li, Weijie Zhao:
Pb-Hash: Partitioned b-bit Hashing. CoRR abs/2306.15944 (2023) - [i152]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. CoRR abs/2309.11824 (2023) - [i151]Belhal Karimi, Jianwen Xie, Ping Li:
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. CoRR abs/2310.12667 (2023) - [i150]Yunfeng Cai, Xu Li, Mingming Sun, Ping Li:
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix. CoRR abs/2311.00674 (2023) - [i149]Weijie Zhao, Shulong Tan, Ping Li:
GUITAR: Gradient Pruning toward Fast Neural Ranking. CoRR abs/2312.16828 (2023) - 2022
- [j23]Hang Zhang, Martin Slawski, Ping Li:
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors. IEEE Trans. Inf. Theory 68(4): 2509-2529 (2022) - [j22]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. IEEE Trans. Inf. Theory 68(10): 6663-6681 (2022) - [c272]Tan Yu, Yunfeng Cai, Ping Li:
Efficient Compact Bilinear Pooling via Kronecker Product. AAAI 2022: 3170-3178 - [c271]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c270]Xin Wang, Minlong Peng, Mingming Sun, Ping Li:
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. ACL (1) 2022: 6213-6226 - [c269]You-Lin Chen, Zhiqiang Xu, Ping Li:
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. ACML 2022: 201-216 - [c268]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. ACML 2022: 217-232 - [c267]Yang Liu, Yifan Zhou, Ping Li, Feifang Hu:
Adaptive A/B Test on Networks with Cluster Structures. AISTATS 2022: 10836-10851 - [c266]Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li:
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT 2022: 606-637 - [c265]Zhiqiang Xu, Ping Li:
Faster Noisy Power Method. ALT 2022: 1138-1164 - [c264]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. IEEE Big Data 2022: 1401-1408 - [c263]Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, Ping Li:
Enhanced Video BERT for Fast Video Advertisement Retrieval. IEEE Big Data 2022: 2133-2139 - [c262]Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li:
Boost CTR Prediction for New Advertisements via Modeling Visual Content. IEEE Big Data 2022: 2140-2149 - [c261]Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. IEEE Big Data 2022: 2150-2159 - [c260]Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li:
Feature Fusion Network for Personalized Online Advertising Systems. IEEE Big Data 2022: 2160-2168 - [c259]Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li:
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. IEEE Big Data 2022: 2441-2445 - [c258]Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. IEEE Big Data 2022: 2461-2466 - [c257]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. BMVC 2022: 371 - [c256]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoG 2022: 496-499 - [c255]Ping Li, Xiaoyun Li, Gennady Samorodnitsky:
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. CIKM 2022: 1177-1187 - [c254]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CIKM 2022: 1188-1198 - [c253]Shaogang Ren, Ping Li:
Flow-based Perturbation for Cause-effect Inference. CIKM 2022: 1706-1715 - [c252]Zhuoyi Wang, Dingcheng Li, Ping Li:
Latent Coreset Sampling based Data-Free Continual Learning. CIKM 2022: 2077-2087 - [c251]Zelai Xu, Tan Yu, Ping Li:
Texture BERT for Cross-modal Texture Image Retrieval. CIKM 2022: 4610-4614 - [c250]Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li:
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. CIKM 2022: 4655-4660 - [c249]Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CNS 2022: 1-9 - [c248]Peng Yang, Dingcheng Li, Ping Li:
Continual Learning for Natural Language Generations with Transformer Calibration. CoNLL 2022: 40-49 - [c247]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR 2022: 9437-9447 - [c246]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. HT 2022: 64-72 - [c245]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c244]Shaogang Ren, Dingcheng Li, Ping Li:
Causal Effect Prediction with Flow-based Inference. ICDM 2022: 1167-1172 - [c243]Xiaoyun Li, Belhal Karimi, Ping Li:
On Distributed Adaptive Optimization with Gradient Compression. ICLR 2022 - [c242]Hanyu Peng, Mingming Sun, Ping Li:
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix. ICLR 2022 - [c241]Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li:
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR 2022 - [c240]Yingzhen Yang, Ping Li:
Discriminative Similarity for Data Clustering. ICLR 2022 - [c239]Tan Yu, Jun Li, Yunfeng Cai, Ping Li:
Constructing Orthogonal Convolutions in an Explicit Manner. ICLR 2022 - [c238]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Minimax M-estimation under Adversarial Contamination. ICML 2022: 1906-1924 - [c237]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Nearly Optimal Catoni's M-estimator for Infinite Variance. ICML 2022: 1925-1944 - [c236]Xiaoyun Li, Ping Li:
C-MinHash: Improving Minwise Hashing with Circulant Permutation. ICML 2022: 12857-12887 - [c235]Tan Yu, Hongliang Fei, Ping Li:
U-BERT for Fast and Scalable Text-Image Retrieval. ICTIR 2022: 193-203 - [c234]Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li:
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR 2022: 254-263 - [c233]Xueyan Niu, Xiaoyun Li, Ping Li:
Learning Cluster Causal Diagrams: An Information-Theoretic Approach. IJCAI 2022: 4871-4877 - [c232]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. ISIT 2022: 2190-2195 - [c231]Yunfeng Cai, Guanhua Fang, Ping Li:
Sensitivity of Under-Determined Linear System. ISIT 2022: 2267-2272 - [c230]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Regret Analysis for RL using Renewal Bandit Feedback. ITW 2022: 137-142 - [c229]Chenglin Fan, Ping Li:
Metric Nearness with Minimum Distortion: Optimal and Approximation. ITW 2022: 434-439 - [c228]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. KDD 2022: 1493-1503 - [c227]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. KDD 2022: 2585-2593 - [c226]Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. KDD 2022: 4443-4451 - [c225]Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li:
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) 2022: 30-37 - [c224]Yue Feng, Zhen Han, Mingming Sun, Ping Li:
Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge. NAACL-HLT (Findings) 2022: 151-156 - [c223]Haiyan Yin, Dingcheng Li, Ping Li:
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT 2022: 1385-1395 - [c222]Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, Ping Li:
Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval. NAACL-HLT (Findings) 2022: 1854-1862 - [c221]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS 2022 - [c220]Chenglin Fan, Ping Li, Xiaoyun Li:
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate. NeurIPS 2022 - [c219]Xiaoyun Li, Ping Li:
SignRFF: Sign Random Fourier Features. NeurIPS 2022 - [c218]Xiaotong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS 2022 - [c217]Haoliang Liu, Tan Yu, Ping Li:
Sensitivity-aware Distance Measurement for Boosting Metric Learning. SDM 2022: 576-584 - [c216]Yue Zhang, Mingming Sun, Jingyuan Zhang, Ping Li:
Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts. SDM 2022: 675-683 - [c215]Tan Yu, Hongliang Fei, Ping Li:
Cross-Probe BERT for Fast Cross-Modal Search. SIGIR 2022: 2178-2183 - [c214]Yue Zhang, Hongliang Fei, Ping Li:
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR 2022: 2449-2455 - [c213]Sujay Bhatt, Guanhua Fang, Ping Li:
Offline change detection under contamination. UAI 2022: 191-201 - [c212]Yingzhen Yang, Ping Li:
Noisy L0-sparse subspace clustering on dimensionality reduced data. UAI 2022: 2235-2245 - [c211]Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. WACV 2022: 408-417 - [c210]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. WACV 2022: 3615-3624 - [i148]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR abs/2201.02283 (2022) - [i147]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR abs/2201.05500 (2022) - [i146]Zeke Xie, Qian-Yuan Tang, Yunfeng Cai, Mingming Sun, Ping Li:
On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. CoRR abs/2201.13011 (2022) - [i145]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. CoRR abs/2201.13027 (2022) - [i144]Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li:
Label-Smoothed Backdoor Attack. CoRR abs/2202.11203 (2022) - [i143]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. CoRR abs/2203.09413 (2022) - [i142]Belhal Karimi, Ping Li:
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. CoRR abs/2203.10186 (2022) - [i141]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i140]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. CoRR abs/2204.10245 (2022) - [i139]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. CoRR abs/2204.12488 (2022) - [i138]Chenglin Fan, Ping Li, Xiaoyun Li:
Breaking the Linear Error Barrier in Differentially Private Graph Distance Release. CoRR abs/2204.14247 (2022) - [i137]Xiaoyun Li, Belhal Karimi, Ping Li:
On Distributed Adaptive Optimization with Gradient Compression. CoRR abs/2205.05632 (2022) - [i136]Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li:
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR abs/2205.06924 (2022) - [i135]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. CoRR abs/2205.09329 (2022) - [i134]Ping Li, Weijie Zhao:
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR abs/2205.10927 (2022) - [i133]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. CoRR abs/2205.15444 (2022) - [i132]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR abs/2205.15721 (2022) - [i131]Xiao-Tong Yuan, Ping Li:
Boosting the Confidence of Generalization for L2-Stable Randomized Learning Algorithms. CoRR abs/2206.03834 (2022) - [i130]Xiao-Tong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. CoRR abs/2206.05187 (2022) - [i129]Weifu Wang, Ping Li:
Towards Constructing Finer then Homotopy Path Classes. CoRR abs/2206.06307 (2022) - [i128]Weifu Wang, Ping Li:
Finding Control Synthesis for Kinematic Shortest Paths. CoRR abs/2206.07708 (2022) - [i127]Weifu Wang, Ping Li:
Planning and Formulations in Pursuit-Evasion: Keep-away Games and Their Strategies. CoRR abs/2206.08318 (2022) - [i126]Weifu Wang, Ping Li:
Planning through Workspace Constraint Satisfaction and Optimization. CoRR abs/2206.08337 (2022) - [i125]Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li:
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR abs/2206.10839 (2022) - [i124]Yingzhen Yang, Ping Li:
Noisy 𝓁0-Sparse Subspace Clustering on Dimensionality Reduced Data. CoRR abs/2206.11079 (2022) - [i123]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoRR abs/2206.11494 (2022) - [i122]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR abs/2206.12381 (2022) - [i121]Chenglin Fan, Ping Li, Xiaoyun Li:
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy. CoRR abs/2206.12895 (2022) - [i120]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. CoRR abs/2207.02722 (2022) - [i119]Ping Li, Weijie Zhao:
pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR abs/2207.08667 (2022) - [i118]Ping Li, Weijie Zhao:
Package for Fast ABC-Boost. CoRR abs/2207.08770 (2022) - [i117]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Catoni-style Confidence Sequences under Infinite Variance. CoRR abs/2208.03185 (2022) - [i116]Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CoRR abs/2208.13361 (2022) - [i115]Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. CoRR abs/2209.08759 (2022) - [i114]Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li:
Boost CTR Prediction for New Advertisements via Modeling Visual Content. CoRR abs/2209.11727 (2022) - [i113]Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li:
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR abs/2210.04288 (2022) - [i112]Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li:
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. CoRR abs/2210.07232 (2022) - [i111]Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR abs/2210.07768 (2022) - [i110]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR abs/2210.09194 (2022) - [i109]Yue Zhang, Hongliang Fei, Ping Li:
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. CoRR abs/2210.09599 (2022) - [i108]Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li:
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR abs/2210.10841 (2022) - [i107]Weijie Zhao, Shulong Tan, Ping Li:
Constrained Approximate Similarity Search on Proximity Graph. CoRR abs/2210.14958 (2022) - [i106]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR abs/2211.00619 (2022) - [i105]Shuo Chen, Tan Yu, Ping Li:
R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition. CoRR abs/2211.11085 (2022) - [i104]Tan Yu, Ping Li:
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations. CoRR abs/2211.14255 (2022) - [i103]Xiaoyun Li, Ping Li:
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression. CoRR abs/2211.14292 (2022) - [i102]Zeke Xie, Qian-Yuan Tang, Zheng He, Mingming Sun, Ping Li:
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence. CoRR abs/2212.02083 (2022) - 2021
- [j21]Zhiqiang Xu, Ping Li:
On the Riemannian Search for Eigenvector Computation. J. Mach. Learn. Res. 22: 249:1-249:46 (2021) - [j20]Shulong Tan, Weijie Zhao, Ping Li:
Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. 15(4): 794-803 (2021) - [j19]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. 69: 3132-3144 (2021) - [c209]Tan Yu, Xiaoyun Li, Ping Li:
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. AAAI 2021: 3243-3251 - [c208]Xiaoyun Li, Ping Li:
Rejection Sampling for Weighted Jaccard Similarity Revisited. AAAI 2021: 4197-4205 - [c207]Yunfeng Cai, Ping Li:
A Blind Block Term Decomposition of High Order Tensors. AAAI 2021: 6868-6876 - [c206]Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. AAAI 2021: 10441-10451 - [c205]Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li:
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. ACML 2021: 422-437 - [c204]Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. ACSCC 2021: 498-503 - [c203]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC 2021: 1551-1557 - [c202]Yunfeng Cai, Ping Li:
Identification of Matrix Joint Block Diagonalization. AISTATS 2021: 1495-1503 - [c201]Zhiqiang Xu, Ping Li:
On the Faster Alternating Least-Squares for CCA. AISTATS 2021: 1621-1629 - [c200]Xiaotong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS 2021: 1702-1710 - [c199]Xiaoyun Li, Ping Li:
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements. AISTATS 2021: 2647-2655 - [c198]Fan Zhou, Ping Li, Zhixin Zhou:
Principal Subspace Estimation Under Information Diffusion. AISTATS 2021: 3205-3213 - [c197]Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, Ping Li:
Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. IEEE BigData 2021: 2046-2051 - [c196]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. BMVC 2021: 139 - [c195]Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. BMVC 2021: 349 - [c194]Peng Yang, Ping Li:
Adversarial Kernel Sampling on Class-imbalanced Data Streams. CIKM 2021: 2352-2362 - [c193]Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li:
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. CIKM 2021: 2444-2454 - [c192]Tan Yu, Ping Li:
Multiple Exemplars Learning for Fast Image Retrieval. CIKM 2021: 2455-2465 - [c191]Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li:
MixBERT for Image-Ad Relevance Scoring in Advertising. CIKM 2021: 3597-3602 - [c190]Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li:
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. CIKM 2021: 4203-4213 - [c189]Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li:
Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. CIKM 2021: 4341-4351 - [c188]Zilong Zheng, Jianwen Xie, Ping Li:
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. CVPR 2021: 2961-2970 - [c187]Dongsheng An, Jianwen Xie, Ping Li:
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. CVPR 2021: 15415-15424 - [c186]Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li:
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) 2021: 4300-4310 - [c185]Haoliang Liu, Tan Yu, Ping Li:
Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval. EMNLP (1) 2021: 9796-9809 - [c184]Mostafa Rahmani, Ping Li:
Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP 2021: 5305-5309 - [c183]Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li:
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV 2021: 11946-11956 - [c182]Peng Yang, Yingjie Lao, Ping Li:
Robust Watermarking for Deep Neural Networks via Bi-level Optimization. ICCV 2021: 14821-14830 - [c181]Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li:
TIRA in Baidu Image Advertising. ICDE 2021: 2207-2212 - [c180]Peng Yang, Xiaoyun Li, Ping Li:
Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. ICDM 2021: 797-806 - [c179]Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li:
Causal Discovery with Flow-based Conditional Density Estimation. ICDM 2021: 1300-1305 - [c178]Yang Zhao, Jianwen Xie, Ping Li:
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. ICLR 2021 - [c177]Guanhua Fang, Ping Li:
On Estimation in Latent Variable Models. ICML 2021: 3100-3110 - [c176]Guanhua Fang, Ping Li:
On Variational Inference in Biclustering Models. ICML 2021: 3111-3121 - [c175]Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. ICML 2021: 6369-6380 - [c174]Fan Zhou, Ping Li:
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations. ICML 2021: 12813-12823 - [c173]Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li:
Textual Analysis and Timely Detection of Suspended Social Media Accounts. ICWSM 2021: 644-655 - [c172]Belhal Karimi, Ping Li:
Two-Timescale Stochastic EM Algorithms. ISIT 2021: 890-895 - [c171]Hang Zhang, Ping Li:
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. ISIT 2021: 1760-1765 - [c170]Yingzhen Yang, Ping Li:
FROS: Fast Regularized Optimization by Sketching. ISIT 2021: 2780-2785 - [c169]Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li:
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD 2021: 1552-1560 - [c168]Hongliang Fei, Tan Yu, Ping Li:
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. NAACL-HLT 2021: 3644-3650 - [c167]Haiyan Yin, Peng Yang, Ping Li:
Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS 2021: 10260-10272 - [c166]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS 2021: 15448-15463 - [c165]Khoa D. Doan, Yingjie Lao, Ping Li:
Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS 2021: 18944-18957 - [c164]Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang:
Rate-Optimal Subspace Estimation on Random Graphs. NeurIPS 2021: 20283-20294 - [c163]Zhiqiang Xu, Ping Li:
A Comprehensively Tight Analysis of Gradient Descent for PCA. NeurIPS 2021: 21935-21946 - [c162]Yunfeng Cai, Guanhua Fang, Ping Li:
A Note on Sparse Generalized Eigenvalue Problem. NeurIPS 2021: 23036-23048 - [c161]Weifu Wang, Ping Li:
Towards finding the shortest-paths for 3D rigid bodies. Robotics: Science and Systems 2021 - [c160]Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li:
Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR 2021: 1135-1145 - [c159]Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li:
Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. SIGIR 2021: 1146-1156 - [c158]Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li:
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. SIGIR 2021: 2166-2171 - [c157]Yue Zhang, Hongliang Fei, Ping Li:
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. SIGIR 2021: 2257-2262 - [c156]Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li:
Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. SIGMOD Conference 2021: 2404-2409 - [c155]Huang Fang, Guanhua Fang, Tan Yu, Ping Li:
Efficient greedy coordinate descent via variable partitioning. UAI 2021: 547-557 - [c154]Puxuan Yu, Hongliang Fei, Ping Li:
Cross-lingual Language Model Pretraining for Retrieval. WWW 2021: 1029-1039 - [c153]Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao:
Consistent Sampling Through Extremal Process. WWW 2021: 1317-1327 - [c152]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
MQuadE: a Unified Model for Knowledge Fact Embedding. WWW 2021: 3442-3452 - [i101]Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. CoRR abs/2102.13079 (2021) - [i100]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. CoRR abs/2106.07477 (2021) - [i99]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR abs/2106.12190 (2021) - [i98]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. CoRR abs/2106.14882 (2021) - [i97]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. CoRR abs/2108.01072 (2021) - [i96]Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. CoRR abs/2108.06888 (2021) - [i95]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR abs/2108.07028 (2021) - [i94]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR abs/2109.03194 (2021) - [i93]Xiaoyun Li, Ping Li:
C-MinHash: Rigorously Reducing K Permutations to Two. CoRR abs/2109.03337 (2021) - [i92]Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits using Robust Statistics. CoRR abs/2109.04433 (2021) - [i91]Xiaoyun Li, Ping Li:
C-MinHash: Practically Reducing Two Permutations to Just One. CoRR abs/2109.04595 (2021) - [i90]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. CoRR abs/2109.05109 (2021) - [i89]Yingzhen Yang, Ping Li:
Discriminative Similarity for Data Clustering. CoRR abs/2109.08675 (2021) - [i88]Belhal Karimi, Xiaoyun Li, Ping Li:
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. CoRR abs/2110.00532 (2021) - [i87]Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. CoRR abs/2110.13083 (2021) - [i86]Xiaoyun Li, Ping Li:
C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations. CoRR abs/2111.09544 (2021) - [i85]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR abs/2112.13528 (2021) - 2020
- [j18]Martin Slawski, Emanuel Ben-David, Ping Li:
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. J. Mach. Learn. Res. 21: 204:1-204:42 (2020) - [j17]Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. J. Mach. Learn. Res. 21: 206:1-206:51 (2020) - [c151]Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. AAAI 2020: 4747-4754 - [c150]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. AAAI 2020: 6631-6638 - [c149]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI 2020: 9466-9473 - [c148]Hongliang Fei, Ping Li:
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. ACL 2020: 5759-5771 - [c147]Jingyuan Zhang, Mingming Sun, Yue Feng, Ping Li:
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts. ACL 2020: 8045-8056 - [c146]Peng Yang, Ping Li:
Adaptive Online Kernel Sampling for Vertex Classification. AISTATS 2020: 363-373 - [c145]Yunfeng Cai, Ping Li:
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. AISTATS 2020: 3460-3470 - [c144]Yunfeng Cai, Ping Li:
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. AISTATS 2020: 4162-4172 - [c143]Jerry Chee, Ping Li:
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. IEEE BigData 2020: 133-140 - [c142]Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li:
Sample Optimization For Display Advertising. CIKM 2020: 2017-2020 - [c141]Yue Feng, Miao Fan, Mingming Sun, Ping Li:
A Reinforced Semi-supervised Neural Network for Helpful Review Identification. CIKM 2020: 2021-2024 - [c140]Yi Hao, Ping Li:
Bessel Smoothing and Multi-Distribution Property Estimation. COLT 2020: 1817-1876 - [c139]Xiao-Tong Yuan, Ping Li:
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. COLT 2020: 3787-3813 - [c138]Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-View Discriminant Analysis. ECAI 2020: 1276-1284 - [c137]Tan Yu, Yunfeng Cai, Ping Li:
Toward Faster and Simpler Matrix Normalization via Rank-1 Update. ECCV (19) 2020: 203-219 - [c136]Mingming Sun, Wenyue Hua, Zoey Liu, Xin Wang, Kangjie Zheng, Ping Li:
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression. EMNLP (1) 2020: 2140-2150 - [c135]Chenglin Fan, Ping Li:
Classification Acceleration via Merging Decision Trees. FODS 2020: 13-22 - [c134]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. FODS 2020: 119-128 - [c133]Weijie Zhao, Shulong Tan, Ping Li:
SONG: Approximate Nearest Neighbor Search on GPU. ICDE 2020: 1033-1044 - [c132]Mostafa Rahmani, Ping Li:
The Necessity of Geometrical Representation for Deep Graph Analysis. ICDM 2020: 1232-1237 - [c131]Hang Zhang, Ping Li:
Optimal Estimator for Unlabeled Linear Regression. ICML 2020: 11153-11162 - [c130]Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li:
Combo-Attention Network for Baidu Video Advertising. KDD 2020: 2474-2482 - [c129]Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. MLSys 2020 - [c128]Yi Hao, Ping Li:
Optimal Prediction of the Number of Unseen Species with Multiplicity. NeurIPS 2020 - [c127]Hexuan Liu, Yunfeng Cai, You-Lin Chen, Ping Li:
Ratio Trace Formulation of Wasserstein Discriminant Analysis. NeurIPS 2020 - [c126]Shaogang Ren, Weijie Zhao, Ping Li:
Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS 2020 - [c125]Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li:
Towards Better Generalization of Adaptive Gradient Methods. NeurIPS 2020 - [c124]Guiliang Liu, Xu Li, Mingming Sun, Ping Li:
An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. SDM 2020: 217-225 - [c123]Dingcheng Li, Xu Li, Jun Wang, Ping Li:
Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. SIGIR 2020: 1553-1556 - [c122]Zhiqiang Xu, Ping Li:
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. UAI 2020: 819-828 - [c121]Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
Fast Item Ranking under Neural Network based Measures. WSDM 2020: 591-599 - [c120]Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li:
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW 2020: 2287-2297 - [c119]Peng Yang, Ping Li:
Efficient Online Multi-Task Learning via Adaptive Kernel Selection. WWW 2020: 2465-2471 - [c118]Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li:
Extracting Knowledge from Web Text with Monte Carlo Tree Search. WWW 2020: 2585-2591 - [c117]Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, Ping Li:
Improved Touch-screen Inputting Using Sequence-level Prediction Generation. WWW 2020: 3077-3083 - [i84]Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. CoRR abs/2003.05622 (2020) - [i83]Yunfeng Cai, Ping Li:
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. CoRR abs/2003.10897 (2020) - [i82]Yunfeng Cai, Ping Li:
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. CoRR abs/2003.10992 (2020) - [i81]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR abs/2003.11530 (2020) - [i80]Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-view Discriminant Analysis. CoRR abs/2004.01143 (2020) - [i79]Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. CoRR abs/2004.01299 (2020) - [i78]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. CoRR abs/2004.01305 (2020) - [i77]Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li:
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. CoRR abs/2008.04975 (2020) - [i76]Jerry Chee, Ping Li:
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. CoRR abs/2008.12224 (2020) - [i75]Yunfeng Cai, Ping Li:
Tensor Completion via Tensor Networks with a Tucker Wrapper. CoRR abs/2010.15819 (2020) - [i74]Yunfeng Cai, Ping Li:
Identification of Matrix Joint Block Diagonalization. CoRR abs/2011.01111 (2020) - [i73]Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. CoRR abs/2012.14936 (2020)
2010 – 2019
- 2019
- [c116]Ping Li:
Sign-Full Random Projections. AAAI 2019: 4205-4212 - [c115]Xu Li, Mingming Sun, Ping Li:
Multi-Agent Discussion Mechanism for Natural Language Generation. AAAI 2019: 6096-6103 - [c114]Hongliang Fei, Xu Li, Dingcheng Li, Ping Li:
End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) 2019: 660-665 - [c113]Jie Shen, Pranjal Awasthi, Ping Li:
Robust Matrix Completion from Quantized Observations. AISTATS 2019: 397-407 - [c112]Mingming Sun, Ping Li:
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation. AISTATS 2019: 2946-2955 - [c111]Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li:
AIBox: CTR Prediction Model Training on a Single Node. CIKM 2019: 319-328 - [c110]Miao Fan, Yeqi Bai, Mingming Sun, Ping Li:
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. CIKM 2019: 2353-2356 - [c109]Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang:
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. CIKM 2019: 2655-2663 - [c108]Miao Fan, Chao Feng, Mingming Sun, Ping Li:
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews. EMNLP/IJCNLP (1) 2019: 1675-1683 - [c107]Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
On Efficient Retrieval of Top Similarity Vectors. EMNLP/IJCNLP (1) 2019: 5235-5245 - [c106]Ping Li, Phan-Minh Nguyen:
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training. ICLR 2019 - [c105]Zeyu Dai, Hongliang Fei, Ping Li:
Coreference Aware Representation Learning for Neural Named Entity Recognition. IJCAI 2019: 4946-4953 - [c104]Hang Zhang, Martin Slawski, Ping Li:
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. ISIT 2019: 1857-1861 - [c103]Hongliang Fei, Shulong Tan, Ping Li:
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. KDD 2019: 834-842 - [c102]Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li:
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. KDD 2019: 2509-2517 - [c101]Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li:
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. NAACL-HLT (1) 2019: 940-950 - [c100]Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li:
Möbius Transformation for Fast Inner Product Search on Graph. NeurIPS 2019: 8216-8227 - [c99]Xiaoyun Li, Ping Li:
Random Projections with Asymmetric Quantization. NeurIPS 2019: 10857-10866 - [c98]Mostafa Rahmani, Ping Li:
Outlier Detection and Robust PCA Using a Convex Measure of Innovation. NeurIPS 2019: 14200-14210 - [c97]Zhiqiang Xu, Ping Li:
Towards Practical Alternating Least-Squares for CCA. NeurIPS 2019: 14737-14746 - [c96]Xiaoyun Li, Ping Li:
Generalization Error Analysis of Quantized Compressive Learning. NeurIPS 2019: 15124-15134 - [c95]Ping Li, Xiaoyun Li, Cun-Hui Zhang:
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling. NeurIPS 2019: 15900-15910 - [c94]Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li:
Deep Skip-Gram Networks for Text Classification. SDM 2019: 145-153 - [c93]Miao Fan, Chao Feng, Mingming Sun, Ping Li, Haifeng Wang:
Reading Customer Reviews to Answer Product-related Questions. SDM 2019: 567-575 - [c92]Dingcheng Li, Jingyuan Zhang, Ping Li:
TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. SDM 2019: 684-692 - [c91]Martin Slawski, Mostafa Rahmani, Ping Li:
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI 2019: 38-48 - [c90]Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li:
Knowledge Graph Embedding Based Question Answering. WSDM 2019: 105-113 - [c89]Dingcheng Li, Jingyuan Zhang, Ping Li:
Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. WWW 2019: 950-960 - [c88]Miao Fan, Chao Feng, Lin Guo, Mingming Sun, Ping Li:
Product-Aware Helpfulness Prediction of Online Reviews. WWW 2019: 2715-2721 - [i72]Jun-Kun Wang, Xiaoyun Li, Ping Li:
Optimistic Adaptive Acceleration for Optimization. CoRR abs/1903.01435 (2019) - [i71]Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li:
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. CoRR abs/1904.12535 (2019) - [i70]Martin Slawski, Emanuel Ben-David, Ping Li:
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. CoRR abs/1907.07148 (2019) - [i69]Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. CoRR abs/1908.02246 (2019) - [i68]Hang Zhang, Martin Slawski, Ping Li:
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. CoRR abs/1909.02496 (2019) - [i67]Mostafa Rahmani, Ping Li:
Graph Analysis and Graph Pooling in the Spatial Domain. CoRR abs/1910.01589 (2019) - [i66]Fan Zhou, Ping Li:
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. CoRR abs/1911.02010 (2019) - [i65]Mostafa Rahmani, Ping Li:
Outlier Detection and Data Clustering via Innovation Search. CoRR abs/1912.12988 (2019) - 2018
- [j16]Martin Slawski, Ping Li:
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 64(6): 4159-4178 (2018) - [c87]Miao Fan, Yue Feng, Mingming Sun, Ping Li, Haifeng Wang, Jianmin Wang:
Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews. ASONAM 2018: 343-350 - [c86]Dingcheng Li, Jingyuan Zhang, Ping Li:
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. IEEE BigData 2018: 126-133 - [c85]Jun Hu, Ping Li:
Collaborative Multi-objective Ranking. CIKM 2018: 1363-1372 - [c84]Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, Ping Li:
FastInput: Improving Input Efficiency on Mobile Devices. CIKM 2018: 2057-2065 - [c83]Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, Ping Li:
A Globalization-Semantic Matching Neural Network for Paraphrase Identification. CIKM 2018: 2067-2075 - [c82]Mingming Sun, Xu Li, Ping Li:
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain. EMNLP 2018: 2119-2130 - [c81]Jie Gui, Ping Li:
Multi-view Feature Selection for Heterogeneous Face Recognition. ICDM 2018: 983-988 - [c80]Jing Wang, Jie Shen, Ping Li:
Provable Variable Selection for Streaming Features. ICML 2018: 5158-5166 - [c79]Jie Gui, Ping Li:
R 2 SDH: Robust Rotated Supervised Discrete Hashing. KDD 2018: 1485-1493 - [c78]Jun Hu, Ping Li:
Collaborative Filtering via Additive Ordinal Regression. WSDM 2018: 243-251 - [c77]Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li:
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. WSDM 2018: 556-564 - [i64]Ping Li:
Sign-Full Random Projections. CoRR abs/1805.00533 (2018) - 2017
- [j15]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit. J. Mach. Learn. Res. 18: 166:1-166:43 (2017) - [j14]Jie Shen, Ping Li:
A Tight Bound of Hard Thresholding. J. Mach. Learn. Res. 18: 208:1-208:42 (2017) - [j13]Jie Shen, Huan Xu, Ping Li:
Online optimization for max-norm regularization. Mach. Learn. 106(3): 419-457 (2017) - [j12]Guangcan Liu, Qingshan Liu, Ping Li:
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 47-60 (2017) - [j11]Jing Wang, Jie Shen, Ping Li:
Object proposal with kernelized partial ranking. Pattern Recognit. 69: 299-309 (2017) - [j10]Jian Wang, Ping Li:
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. IEEE Trans. Signal Process. 65(8): 2049-2062 (2017) - [c76]Armin Eftekhari, Michael B. Wakin, Ping Li, Paul G. Constantine, Rachel A. Ward:
Learning the second-moment matrix of a smooth function from point samples. ACSSC 2017: 671-675 - [c75]Ping Li:
Binary and Multi-Bit Coding for Stable Random Projections. AISTATS 2017: 1430-1438 - [c74]Jun Hu, Yuxin Wang, Ping Li:
Online city-scale hyper-local event detection via analysis of social media and human mobility. IEEE BigData 2017: 626-635 - [c73]Jie Shen, Ping Li:
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit. ICML 2017: 3115-3124 - [c72]Ping Li:
Linearized GMM Kernels and Normalized Random Fourier Features. KDD 2017: 315-324 - [c71]Jie Shen, Ping Li:
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. NIPS 2017: 3124-3134 - [c70]Ping Li, Martin Slawski:
Simple strategies for recovering inner products from coarsely quantized random projections. NIPS 2017: 4567-4576 - [c69]Jing Wang, Jie Shen, Ping Li, Huan Xu:
Online Matrix Completion for Signed Link Prediction. WSDM 2017: 475-484 - [c68]Ping Li, Cun-Hui Zhang:
Theory of the GMM Kernel. WWW 2017: 1053-1062 - [c67]Jun Hu, Ping Li:
Decoupled Collaborative Ranking. WWW 2017: 1321-1329 - [i63]Ping Li:
Tunable GMM Kernels. CoRR abs/1701.02046 (2017) - 2016
- [j9]Jian Wang, Suhyuk Kwon, Ping Li, Byonghyo Shim:
Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis. IEEE Trans. Signal Process. 64(4): 1076-1089 (2016) - [j8]Guangcan Liu, Ping Li:
Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. 64(21): 5623-5633 (2016) - [c66]Jie Shen, Ping Li:
Learning Structured Low-Rank Representation via Matrix Factorization. AISTATS 2016: 500-509 - [c65]Ping Li:
One Scan 1-Bit Compressed Sensing. AISTATS 2016: 1515-1523 - [c64]Jun Hu, Ping Li:
Improved and Scalable Bradley-Terry Model for Collaborative Ranking. ICDM 2016: 949-954 - [c63]Jie Shen, Ping Li, Huan Xu:
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit. ICML 2016: 622-631 - [c62]Ping Li, Michael Mitzenmacher, Martin Slawski:
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity. NIPS 2016: 2748-2756 - [c61]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Exact Recovery of Hard Thresholding Pursuit. NIPS 2016: 3558-3566 - [c60]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - [i62]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search. CoRR abs/1602.06577 (2016) - [i61]Ping Li:
A Comparison Study of Nonlinear Kernels. CoRR abs/1603.06541 (2016) - [i60]Ping Li, Syama Sundar Rangapuram, Martin Slawski:
Methods for Sparse and Low-Rank Recovery under Simplex Constraints. CoRR abs/1605.00507 (2016) - [i59]Jie Shen, Ping Li:
A Tight Bound of Hard Thresholding. CoRR abs/1605.01656 (2016) - [i58]Ping Li:
Generalized Min-Max Kernel and Generalized Consistent Weighted Sampling. CoRR abs/1605.05721 (2016) - [i57]Martin Slawski, Ping Li:
Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements. CoRR abs/1607.02649 (2016) - [i56]Ping Li:
Nystrom Method for Approximating the GMM Kernel. CoRR abs/1607.03475 (2016) - [i55]Ping Li, Cun-Hui Zhang:
Theory of the GMM Kernel. CoRR abs/1608.00550 (2016) - [i54]Armin Eftekhari, Ping Li, Michael B. Wakin, Rachel A. Ward:
Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. CoRR abs/1612.06339 (2016) - [i53]Ping Li:
Generalized Intersection Kernel. CoRR abs/1612.09283 (2016) - 2015
- [j7]Andy Jinhua Ma, Jiawei Li, Pong C. Yuen, Ping Li:
Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs. IEEE Trans. Image Process. 24(5): 1599-1613 (2015) - [c59]Ping Li, Cun-Hui Zhang:
Compressed Sensing with Very Sparse Gaussian Random Projections. AISTATS 2015 - [c58]Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li:
Adaptive Stochastic Alternating Direction Method of Multipliers. ICML 2015: 69-77 - [c57]Ping Li:
0-Bit Consistent Weighted Sampling. KDD 2015: 665-674 - [c56]Martin Slawski, Ping Li:
b-bit Marginal Regression. NIPS 2015: 2062-2070 - [c55]Martin Slawski, Ping Li, Matthias Hein:
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices. NIPS 2015: 2782-2790 - [c54]Anshumali Shrivastava, Ping Li:
Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS). UAI 2015: 812-821 - [c53]Anshumali Shrivastava, Ping Li:
Asymmetric Minwise Hashing for Indexing Binary Inner Products and Set Containment. WWW 2015: 981-991 - [i52]Ping Li:
Min-Max Kernels. CoRR abs/1503.01737 (2015) - [i51]Ping Li:
One Scan 1-Bit Compressed Sensing. CoRR abs/1503.02346 (2015) - [i50]Ping Li:
Binary and Multi-Bit Coding for Stable Random Projections. CoRR abs/1503.06876 (2015) - [i49]Martin Slawski, Ping Li, Matthias Hein:
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices. CoRR abs/1504.06305 (2015) - [i48]Ping Li:
Sign Stable Random Projections for Large-Scale Learning. CoRR abs/1504.07235 (2015) - 2014
- [c52]Andy Jinhua Ma, Ping Li:
Query Based Adaptive Re-ranking for Person Re-identification. ACCV (5) 2014: 397-412 - [c51]Andy Jinhua Ma, Ping Li:
Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs. ACCV (4) 2014: 598-613 - [c50]Anshumali Shrivastava, Ping Li:
In Defense of Minhash over Simhash. AISTATS 2014: 886-894 - [c49]Anshumali Shrivastava, Ping Li:
A new space for comparing graphs. ASONAM 2014: 62-71 - [c48]Ping Li, Cun-Hui Zhang, Tong Zhang:
Compressed Counting Meets Compressed Sensing. COLT 2014: 1058-1077 - [c47]Xiao-Tong Yuan, Ping Li:
Sparse Additive Subspace Clustering. ECCV (3) 2014: 644-659 - [c46]Xiaotong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. ICML 2014: 127-135 - [c45]Anshumali Shrivastava, Ping Li:
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. ICML 2014: 557-565 - [c44]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
Coding for Random Projections. ICML 2014: 676-684 - [c43]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS 2014: 1206-1214 - [c42]Jie Shen, Huan Xu, Ping Li:
Online Optimization for Max-Norm Regularization. NIPS 2014: 1718-1726 - [c41]Anshumali Shrivastava, Ping Li:
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). NIPS 2014: 2321-2329 - [c40]Ping Li:
CoRE Kernels. UAI 2014: 496-504 - [c39]Anshumali Shrivastava, Ping Li:
Improved Densification of One Permutation Hashing. UAI 2014: 732-741 - [i47]Ping Li, Cun-Hui Zhang, Tong Zhang:
Sparse Recovery with Very Sparse Compressed Counting. CoRR abs/1401.0201 (2014) - [i46]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
Coding for Random Projections and Approximate Near Neighbor Search. CoRR abs/1403.8144 (2014) - [i45]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR abs/1404.4032 (2014) - [i44]Anshumali Shrivastava, Ping Li:
A New Space for Comparing Graphs. CoRR abs/1404.4644 (2014) - [i43]Guangcan Liu, Ping Li:
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. CoRR abs/1404.4646 (2014) - [i42]Anshumali Shrivastava, Ping Li:
Graph Kernels via Functional Embedding. CoRR abs/1404.5214 (2014) - [i41]Ping Li:
CoRE Kernels. CoRR abs/1404.6216 (2014) - [i40]Anshumali Shrivastava, Ping Li:
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). CoRR abs/1405.5869 (2014) - [i39]Jie Shen, Huan Xu, Ping Li:
Online Optimization for Max-Norm Regularization. CoRR abs/1406.3190 (2014) - [i38]Anshumali Shrivastava, Ping Li:
Improved Densification of One Permutation Hashing. CoRR abs/1406.4784 (2014) - [i37]Anshumali Shrivastava, Ping Li:
In Defense of MinHash Over SimHash. CoRR abs/1407.4416 (2014) - [i36]Ping Li, Cun-Hui Zhang:
Compressed Sensing with Very Sparse Gaussian Random Projections. CoRR abs/1408.2504 (2014) - [i35]Jian Wang, Ping Li:
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares. CoRR abs/1410.2505 (2014) - [i34]Anshumali Shrivastava, Ping Li:
An Improved Scheme for Asymmetric LSH. CoRR abs/1410.5410 (2014) - [i33]Anshumali Shrivastava, Ping Li:
Asymmetric Minwise Hashing. CoRR abs/1411.3787 (2014) - 2013
- [c38]Ping Li, Anshumali Shrivastava, Arnd Christian König:
b-bit minwise hashing in practice. Internetware 2013: 13:1-13:10 - [c37]Ping Li, Cun-Hui Zhang:
Exact sparse recovery with L0 projections. KDD 2013: 302-310 - [c36]Anshumali Shrivastava, Ping Li:
Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search. NIPS 2013: 791-799 - [c35]Ping Li, Gennady Samorodnitsky, John E. Hopcroft:
Sign Cauchy Projections and Chi-Square Kernel. NIPS 2013: 2571-2579 - [i32]Ping Li, Cun-Hui Zhang:
Exact Sparse Recovery with L0 Projections. CoRR abs/1302.0895 (2013) - [i31]Ping Li, Gennady Samorodnitsky, John E. Hopcroft:
Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels. CoRR abs/1308.1009 (2013) - [i30]Ping Li, Michael Mitzenmacher, Anshumali Shrivastava:
Coding for Random Projections. CoRR abs/1308.2218 (2013) - [i29]Ping Li, Cun-Hui Zhang, Tong Zhang:
Compressed Counting Meets Compressed Sensing. CoRR abs/1310.1076 (2013) - [i28]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. CoRR abs/1311.5750 (2013) - [i27]Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li:
Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient. CoRR abs/1312.4564 (2013) - 2012
- [j6]Fei Wang, Ping Li, Arnd Christian König, Muting Wan:
Improving clustering by learning a bi-stochastic data similarity matrix. Knowl. Inf. Syst. 32(2): 351-382 (2012) - [c34]Xu Sun, Anshumali Shrivastava, Ping Li:
Fast multi-task learning for query spelling correction. CIKM 2012: 285-294 - [c33]Ping Li, Art B. Owen, Cun-Hui Zhang:
One Permutation Hashing. NIPS 2012: 3122-3130 - [c32]Ping Li, Cun-Hui Zhang:
Entropy Estimations Using Correlated Symmetric Stable Random Projections. NIPS 2012: 3185-3193 - [c31]Anshumali Shrivastava, Ping Li:
Fast Near Neighbor Search in High-Dimensional Binary Data. ECML/PKDD (1) 2012: 474-489 - [c30]Ping Li, Anshumali Shrivastava, Arnd Christian König:
GPU-based minwise hashing: GPU-based minwise hashing. WWW (Companion Volume) 2012: 565-566 - [c29]Xu Sun, Anshumali Shrivastava, Ping Li:
Query spelling correction using multi-task learning. WWW (Companion Volume) 2012: 613-614 - [c28]Radhendushka Srivastava, Ping Li, Debasis Sengupta:
Testing for Membership to the IFRA and the NBU Classes of Distributions. AISTATS 2012: 1099-1107 - [i26]Ping Li:
Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost. CoRR abs/1203.3491 (2012) - [i25]Ping Li, Michael W. Mahoney, Yiyuan She:
Approximating Higher-Order Distances Using Random Projections. CoRR abs/1203.3492 (2012) - [i24]Ping Li:
Improving Compressed Counting. CoRR abs/1205.2632 (2012) - [i23]Ping Li, Anshumali Shrivastava, Arnd Christian König:
b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions. CoRR abs/1205.2958 (2012) - [i22]Ping Li, Art B. Owen, Cun-Hui Zhang:
One Permutation Hashing for Efficient Search and Learning. CoRR abs/1208.1259 (2012) - 2011
- [j5]Ping Li, Arnd Christian König:
Theory and applications of b-bit minwise hashing. Commun. ACM 54(8): 101-109 (2011) - [c27]Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li:
A New Multi-task Learning Method for Personalized Activity Recognition. ICDM 2011: 1218-1223 - [c26]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. KDD 2011: 1397-1405 - [c25]Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd Christian König:
Hashing Algorithms for Large-Scale Learning. NIPS 2011: 2672-2680 - [c24]Haiquan (Chuck) Zhao, Nan Hua, Ashwin Lall, Ping Li, Jia Wang, Jun (Jim) Xu:
Towards a Universal Sketch for Origin-Destination Network Measurements. NPC 2011: 201-213 - [c23]Fei Wang, Ping Li, Arnd Christian König:
Efficient Document Clustering via Online Nonnegative Matrix Factorizations. SDM 2011: 908-919 - [c22]Ping Li, Cun-Hui Zhang:
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data. COLT 2011: 477-496 - [i21]Ping Li, Joshua L. Moore, Arnd Christian König:
b-Bit Minwise Hashing for Large-Scale Linear SVM. CoRR abs/1105.4385 (2011) - [i20]Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd Christian König:
Hashing Algorithms for Large-Scale Learning. CoRR abs/1106.0967 (2011) - [i19]Ping Li, Arnd Christian König:
Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing. CoRR abs/1108.0895 (2011) - [i18]Ping Li, Anshumali Shrivastava, Arnd Christian König:
Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW). CoRR abs/1108.3072 (2011) - [i17]Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
User-level sentiment analysis incorporating social networks. CoRR abs/1109.6018 (2011) - 2010
- [j4]Sham M. Kakade, Ping Li:
Guest editorial: special issue on learning theory. Mach. Learn. 80(2-3): 109-110 (2010) - [c21]Fei Wang, Ping Li, Arnd Christian König:
Learning a Bi-Stochastic Data Similarity Matrix. ICDM 2010: 551-560 - [c20]Fei Wang, Ping Li:
Compressed Nonnegative Sparse Coding. ICDM 2010: 1103-1108 - [c19]Ping Li, Arnd Christian König, Wenhao Gui:
b-Bit Minwise Hashing for Estimating Three-Way Similarities. NIPS 2010: 1387-1395 - [c18]Fei Wang, Ping Li:
Efficient Nonnegative Matrix Factorization with Random Projections. SDM 2010: 281-292 - [c17]Ping Li:
Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost. UAI 2010: 302-311 - [c16]Ping Li, Michael W. Mahoney, Yiyuan She:
Approximating Higher-Order Distances Using Random Projections. UAI 2010: 312-321 - [c15]Ping Li, Arnd Christian König:
b-Bit minwise hashing. WWW 2010: 671-680 - [i16]Ping Li:
An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost. CoRR abs/1001.1020 (2010) - [i15]Ping Li:
On Practical Algorithms for Entropy Estimation and the Improved Sample Complexity of Compressed Counting. CoRR abs/1004.3782 (2010) - [i14]Ping Li:
Fast ABC-Boost for Multi-Class Classification. CoRR abs/1006.5051 (2010)
2000 – 2009
- 2009
- [c14]Ping Li:
ABC-boost: adaptive base class boost for multi-class classification. ICML 2009: 625-632 - [c13]Ping Li:
Compressed counting. SODA 2009: 412-421 - [c12]Ping Li:
Improving Compressed Counting. UAI 2009: 329-338 - [r1]Ping Li:
Stable Distribution. Encyclopedia of Database Systems 2009: 2768-2771 - [i13]Ping Li:
ABC-LogitBoost for Multi-class Classification. CoRR abs/0908.4144 (2009) - [i12]Ping Li:
On the Sample Complexity of Compressed Counting. CoRR abs/0910.1403 (2009) - [i11]Ping Li:
Estimating Entropy of Data Streams Using Compressed Counting. CoRR abs/0910.1495 (2009) - [i10]Ping Li, Arnd Christian König:
b-Bit Minwise Hashing. CoRR abs/0910.3349 (2009) - 2008
- [c11]Ping Li:
Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections. ICDM 2008: 403-412 - [c10]Ping Li, Kenneth Ward Church, Trevor Hastie:
One sketch for all: Theory and Application of Conditional Random Sampling. NIPS 2008: 953-960 - [c9]Ping Li:
Estimators and tail bounds for dimension reduction in lα (0 < α ≤ 2) using stable random projections. SODA 2008: 10-19 - [i9]Ping Li:
On Approximating Frequency Moments of Data Streams with Skewed Projections. CoRR abs/0802.0802 (2008) - [i8]Ping Li:
Compressed Counting. CoRR abs/0802.2305 (2008) - [i7]Ping Li:
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections. CoRR abs/0806.4422 (2008) - [i6]Ping Li:
On Approximating the Lp Distances for p>2. CoRR abs/0806.4423 (2008) - [i5]Ping Li:
The Optimal Quantile Estimator for Compressed Counting. CoRR abs/0808.1766 (2008) - [i4]Ping Li:
A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting. CoRR abs/0808.1771 (2008) - [i3]Ping Li:
Adaptive Base Class Boost for Multi-class Classification. CoRR abs/0811.1250 (2008) - 2007
- [j3]Ping Li, Kenneth Ward Church:
A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations. Comput. Linguistics 33(3): 305-354 (2007) - [j2]Ping Li, Trevor Hastie, Kenneth Ward Church:
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections. J. Mach. Learn. Res. 8: 2497-2532 (2007) - [c8]Ping Li, Trevor Hastie, Kenneth Ward Church:
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l 1 Using Cauchy Random Projections. COLT 2007: 514-529 - [c7]Ping Li:
Very sparse stable random projections for dimension reduction in lalpha (0 <alpha<=2) norm. KDD 2007: 440-449 - [c6]Ping Li, Christopher J. C. Burges, Qiang Wu:
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007: 897-904 - [c5]Ping Li, Trevor Hastie:
A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections. NIPS 2007: 905-912 - 2006
- [j1]Ping Li, Debashis Paul, Ravi Narasimhan, John M. Cioffi:
On the distribution of SINR for the MMSE MIMO receiver and performance analysis. IEEE Trans. Inf. Theory 52(1): 271-286 (2006) - [c4]Ping Li, Trevor Hastie, Kenneth Ward Church:
Improving Random Projections Using Marginal Information. COLT 2006: 635-649 - [c3]Ping Li, Trevor Hastie, Kenneth Ward Church:
Very sparse random projections. KDD 2006: 287-296 - [c2]Ping Li, Kenneth Ward Church, Trevor Hastie:
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data. NIPS 2006: 873-880 - [i2]Ping Li, Trevor Hastie, Kenneth Ward Church:
Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections. CoRR abs/cs/0610155 (2006) - [i1]Ping Li:
Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections. CoRR abs/cs/0611114 (2006) - 2005
- [c1]Ping Li, Kenneth Ward Church:
Using Sketches to Estimate Associations. HLT/EMNLP 2005: 708-715
Coauthor Index
[c308] [c293] [c290] [c288] [c285] [c284] [c283] [c278] [c277] [i163] [i159] [i158] [i156] [c264] [c255] [c243] [c236] [c233] [c220] [c219] [i147] [i138] [i137] [i121] [i103] [c209] [c208] [c205] [c199] [c180] [c175] [c156] [c153] [i101] [i93] [i91] [i90] [i88] [i86] [c151] [c138] [c134] [i80] [i79] [i77] [c99] [c96] [c95] [i72]
[i170] [i168] [i167] [c300] [c294] [c282] [c273] [i155] [i150] [c270] [c256] [c249] [c246] [c242] [c224] [c222] [c216] [c210] [i146] [i144] [i140] [i135] [i123] [i116] [i102] [c196] [c190] [c189] [c179] [c160] [c152] [i100] [i98] [i97] [c147] [c141] [c136] [c130] [c129] [c124] [c118] [c117] [i84] [c115] [c112] [c110] [c108] [c102] [c93] [c88] [i71] [c87] [c84] [c83] [c82] [c77]
Xiao-Tong Yuan
aka: Xiaotong Yuan
aka: Xiaotong Yuan
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