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ORCIDPing Li 0001
Person information
- 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
- 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
- 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 — Guangzhou University, School of Computer Science, China (and 1 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 — Nankai University, Center for Combinatorics, Tianjin, China
- 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
- 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, 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)
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2020 – today
- 2023
[j23]Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits Using Robust Statistics. IEEE Trans. Inf. Theory 69(3): 1761-1776 (2023)- [c294]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI 2023: 506-515 - [c293]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 - [c292]Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. AAAI 2023: 11345-11353 - [c291]Ye Ma, Mingming Sun, Ping Li:
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. ACL (Findings) 2023: 4218-4230 - [c290]Yue Zhang, Hongliang Fei, Ping Li:
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. ACL (Findings) 2023: 9880-9892 - [c289]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 - [c288]Sujay Bhatt, Guanhua Fang, Ping Li:
Piecewise Stationary Bandits under Risk Criteria. AISTATS 2023: 4313-4335 - [c287]Hang Zhang, Ping Li:
Improved Bound on Generalization Error of Compressed KNN Estimator. AISTATS 2023: 7578-7593 - [c286]Fan Zhou, Ping Li, Cun-Hui Zhang:
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions. ALT 2023: 1555-1578 - [c285]Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li:
Dataset Pruning: Reducing Training Data by Examining Generalization Influence. ICLR 2023 - [c284]Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li:
Improved Convergence of Differential Private SGD with Gradient Clipping. ICLR 2023 - [c283]Yingzhen Yang, Ping Li:
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. ICLR 2023 - [c282]Xiaotong Yuan, Ping Li:
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR 2023 - [c281]Chenglin Fan, Ping Li, Xiaoyun Li:
LSDS++ : Dual Sampling for Accelerated k-means++. ICML 2023: 9640-9649 - [c280]Guanhua Fang, Ping Li:
Regression with Label Permutation in Generalized Linear Model. ICML 2023: 9716-9760 - [c279]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 - [c278]Jialu Wang, Ping Li, Feifang Hu:
A/B Testing in Network Data with Covariate-Adaptive Randomization. ICML 2023: 35949-35969 - [c277]Hang Zhang, Ping Li:
One-Step Estimator for Permuted Sparse Recovery. ICML 2023: 41244-41267 - [c276]Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. KDD 2023: 1303-1315 - [c275]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR 2023: 697-707 - [c274]Dingcheng Li, Peng Yang, Yue Zhang, Ping Li:
Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR 2023: 2266-2271 - [c273]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR 2023: 3374-3379 - [c272]Belhal Karimi, Ping Li, Xiaoyun Li:
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. UAI 2023: 1037-1046 - [c271]Hanyu Peng, Guanhua Fang, Ping Li:
Copula for Instance-wise Feature Selection and Rank. UAI 2023: 1651-1661 - [c270]Hang Zhang, Ping Li:
Greed is good: correspondence recovery for unlabeled linear regression. UAI 2023: 2509-2518 - [c269]Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li:
Learning Latent Structural Relations with Message Passing Prior. WACV 2023: 5323-5332 - [c268]Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li:
Dynamic Re-weighting for Long-tailed Semi-supervised Learning. WACV 2023: 6453-6463 - [i148]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) - [i147]Ping Li, Xiaoyun Li:
OPORP: One Permutation + One Random Projection. CoRR abs/2302.03505 (2023) - [i146]Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. CoRR abs/2303.11649 (2023) - [i145]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) - [i144]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR abs/2304.13677 (2023) - [i143]Ping Li, Xiaoyun Li:
Differential Privacy with Random Projections and Sign Random Projections. CoRR abs/2306.01751 (2023) - [i142]Xiaoyun Li, Ping Li:
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling. CoRR abs/2306.07674 (2023) - [i141]Ye Ma, Mingming Sun, Ping Li:
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing. CoRR abs/2306.12018 (2023) - [i140]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. CoRR abs/2309.11824 (2023) - 2022
- [j22]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) - [j21]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. IEEE Trans. Inf. Theory 68(10): 6663-6681 (2022) - [c267]Tan Yu, Yunfeng Cai, Ping Li:
Efficient Compact Bilinear Pooling via Kronecker Product. AAAI 2022: 3170-3178 - [c266]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c265]Xin Wang, Minlong Peng, Mingming Sun, Ping Li:
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. ACL (1) 2022: 6213-6226 - [c264]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 - [c263]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. ACML 2022: 217-232 - [c262]Yang Liu, Yifan Zhou, Ping Li, Feifang Hu:
Adaptive A/B Test on Networks with Cluster Structures. AISTATS 2022: 10836-10851 - [c261]Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li:
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT 2022: 606-637 - [c260]Zhiqiang Xu, Ping Li:
Faster Noisy Power Method. ALT 2022: 1138-1164 - [c259]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 - [c258]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 - [c257]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 - [c256]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 - [c255]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 - [c254]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 - [c253]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 - [c252]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. BMVC 2022: 371 - [c251]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoG 2022: 496-499 - [c250]Ping Li, Xiaoyun Li, Gennady Samorodnitsky:
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. CIKM 2022: 1177-1187 - [c249]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CIKM 2022: 1188-1198 - [c248]Shaogang Ren, Ping Li:
Flow-based Perturbation for Cause-effect Inference. CIKM 2022: 1706-1715 - [c247]Zhuoyi Wang, Dingcheng Li, Ping Li:
Latent Coreset Sampling based Data-Free Continual Learning. CIKM 2022: 2077-2087 - [c246]Zelai Xu, Tan Yu, Ping Li:
Texture BERT for Cross-modal Texture Image Retrieval. CIKM 2022: 4610-4614 - [c245]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 - [c244]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR 2022: 9437-9447 - [c243]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. HT 2022: 64-72 - [c242]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c241]Shaogang Ren, Dingcheng Li, Ping Li:
Causal Effect Prediction with Flow-based Inference. ICDM 2022: 1167-1172 - [c240]Xiaoyun Li, Belhal Karimi, Ping Li:
On Distributed Adaptive Optimization with Gradient Compression. ICLR 2022 - [c239]Hanyu Peng, Mingming Sun, Ping Li:
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix. ICLR 2022 - [c238]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 - [c237]Yingzhen Yang, Ping Li:
Discriminative Similarity for Data Clustering. ICLR 2022 - [c236]Tan Yu, Jun Li, Yunfeng Cai, Ping Li:
Constructing Orthogonal Convolutions in an Explicit Manner. ICLR 2022 - [c235]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Minimax M-estimation under Adversarial Contamination. ICML 2022: 1906-1924 - [c234]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Nearly Optimal Catoni's M-estimator for Infinite Variance. ICML 2022: 1925-1944 - [c233]Xiaoyun Li, Ping Li:
C-MinHash: Improving Minwise Hashing with Circulant Permutation. ICML 2022: 12857-12887 - [c232]Tan Yu, Hongliang Fei, Ping Li:
U-BERT for Fast and Scalable Text-Image Retrieval. ICTIR 2022: 193-203 - [c231]Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li:
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR 2022: 254-263 - [c230]Xueyan Niu, Xiaoyun Li, Ping Li:
Learning Cluster Causal Diagrams: An Information-Theoretic Approach. IJCAI 2022: 4871-4877 - [c229]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. ISIT 2022: 2190-2195 - [c228]Yunfeng Cai, Guanhua Fang, Ping Li:
Sensitivity of Under-Determined Linear System. ISIT 2022: 2267-2272 - [c227]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Regret Analysis for RL using Renewal Bandit Feedback. ITW 2022: 137-142 - [c226]Chenglin Fan, Ping Li:
Metric Nearness with Minimum Distortion: Optimal and Approximation. ITW 2022: 434-439 - [c225]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. KDD 2022: 1493-1503 - [c224]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. KDD 2022: 2585-2593 - [c223]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 - [c222]Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li:
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) 2022: 30-37 - [c221]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 - [c220]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 - [c219]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 - [c218]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS 2022 - [c217]Chenglin Fan, Ping Li, Xiaoyun Li:
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate. NeurIPS 2022 - [c216]Xiaoyun Li, Ping Li:
SignRFF: Sign Random Fourier Features. NeurIPS 2022 - [c215]Xiaotong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS 2022 - [c214]Haoliang Liu, Tan Yu, Ping Li:
Sensitivity-aware Distance Measurement for Boosting Metric Learning. SDM 2022: 576-584 - [c213]Yue Zhang, Mingming Sun, Jingyuan Zhang, Ping Li:
Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts. SDM 2022: 675-683 - [c212]Tan Yu, Hongliang Fei, Ping Li:
Cross-Probe BERT for Fast Cross-Modal Search. SIGIR 2022: 2178-2183 - [c211]Yue Zhang, Hongliang Fei, Ping Li:
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR 2022: 2449-2455 - [c210]Sujay Bhatt, Guanhua Fang, Ping Li:
Offline change detection under contamination. UAI 2022: 191-201 - [c209]Yingzhen Yang, Ping Li:
Noisy L0-sparse subspace clustering on dimensionality reduced data. UAI 2022: 2235-2245 - [c208]Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. WACV 2022: 408-417 - [c207]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. WACV 2022: 3615-3624 - [i139]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR abs/2201.02283 (2022) - [i138]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) - [i137]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) - [i136]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. CoRR abs/2201.13027 (2022) - [i135]Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li:
Label-Smoothed Backdoor Attack. CoRR abs/2202.11203 (2022) - [i134]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. CoRR abs/2203.09413 (2022) - [i133]Belhal Karimi, Ping Li:
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. CoRR abs/2203.10186 (2022) - [i132]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i131]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) - [i130]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. CoRR abs/2204.12488 (2022) - [i129]Chenglin Fan, Ping Li, Xiaoyun Li:
Breaking the Linear Error Barrier in Differentially Private Graph Distance Release. CoRR abs/2204.14247 (2022) - [i128]Xiaoyun Li, Belhal Karimi, Ping Li:
On Distributed Adaptive Optimization with Gradient Compression. CoRR abs/2205.05632 (2022) - [i127]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) - [i126]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) - [i125]Ping Li, Weijie Zhao:
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR abs/2205.10927 (2022) - [i124]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. CoRR abs/2205.15444 (2022) - [i123]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR abs/2205.15721 (2022) - [i122]Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li:
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR abs/2206.10839 (2022) - [i121]Yingzhen Yang, Ping Li:
Noisy 𝓁0-Sparse Subspace Clustering on Dimensionality Reduced Data. CoRR abs/2206.11079 (2022) - [i120]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoRR abs/2206.11494 (2022) - [i119]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR abs/2206.12381 (2022) - [i118]