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Ping 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 (aka: Li Ping) — disambiguation page
- Ping Li 0002 — Eindhoven University of Technology, NL
- Ping Li 0003 — Shanghai Jiaotong Univ., 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
(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
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2020 – today
- 2022
- [j21]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) - [c228]Tan Yu, Yunfeng Cai, Ping Li:
Efficient Compact Bilinear Pooling via Kronecker Product. AAAI 2022: 3170-3178 - [c227]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c226]Xin Wang, Minlong Peng, Mingming Sun, Ping Li:
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework. ACL (1) 2022: 6213-6226 - [c225]Yang Liu, Yifan Zhou, Ping Li, Feifang Hu:
Adaptive A/B Test on Networks with Cluster Structures. AISTATS 2022: 10836-10851 - [c224]Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li:
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT 2022: 606-637 - [c223]Zhiqiang Xu, Ping Li:
Faster Noisy Power Method. ALT 2022: 1138-1164 - [c222]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. HT 2022: 64-72 - [c221]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c220]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Minimax M-estimation under Adversarial Contamination. ICML 2022: 1906-1924 - [c219]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Nearly Optimal Catoni's M-estimator for Infinite Variance. ICML 2022: 1925-1944 - [c218]Xiaoyun Li, Ping Li:
C-MinHash: Improving Minwise Hashing with Circulant Permutation. ICML 2022: 12857-12887 - [c217]Xueyan Niu, Xiaoyun Li, Ping Li:
Learning Cluster Causal Diagrams: An Information-Theoretic Approach. IJCAI 2022: 4871-4877 - [c216]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. ISIT 2022: 2190-2195 - [c215]Yunfeng Cai, Guanhua Fang, Ping Li:
Sensitivity of Under-Determined Linear System. ISIT 2022: 2267-2272 - [c214]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. KDD 2022: 1493-1503 - [c213]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. KDD 2022: 2585-2593 - [c212]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 - [c211]Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li:
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) 2022: 30-37 - [c210]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 - [c209]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 - [c208]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 - [c207]Tan Yu, Hongliang Fei, Ping Li:
Cross-Probe BERT for Fast Cross-Modal Search. SIGIR 2022: 2178-2183 - [c206]Yue Zhang, Hongliang Fei, Ping Li:
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR 2022: 2449-2455 - [c205]Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. WACV 2022: 408-417 - [c204]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. WACV 2022: 3615-3624 - [i111]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR abs/2201.02283 (2022) - [i110]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) - [i109]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) - [i108]Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li:
Label-Smoothed Backdoor Attack. CoRR abs/2202.11203 (2022) - [i107]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. CoRR abs/2203.09413 (2022) - [i106]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i105]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) - [i104]Chenglin Fan, Ping Li:
Distances Release with Differential Privacy in Tree and Grid Graph. CoRR abs/2204.12488 (2022) - [i103]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) - [i102]Ping Li, Weijie Zhao:
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR abs/2205.10927 (2022) - [i101]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. CoRR abs/2205.15444 (2022) - [i100]Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li:
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR abs/2206.10839 (2022) - [i99]Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li:
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. CoRR abs/2206.11494 (2022) - [i98]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. CoRR abs/2207.02722 (2022) - [i97]Ping Li, Weijie Zhao:
pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR abs/2207.08667 (2022) - [i96]Ping Li, Weijie Zhao:
Package for Fast ABC-Boost. CoRR abs/2207.08770 (2022) - [i95]Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Catoni-style Confidence Sequences under Infinite Variance. CoRR abs/2208.03185 (2022) - 2021
- [j20]Zhiqiang Xu, Ping Li:
On the Riemannian Search for Eigenvector Computation. J. Mach. Learn. Res. 22: 249:1-249:46 (2021) - [j19]Shulong Tan, Weijie Zhao, Ping Li:
Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. 15(4): 794-803 (2021) - [j18]Mostafa Rahmani
, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. 69: 3132-3144 (2021) - [c203]Tan Yu, Xiaoyun Li, Ping Li:
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. AAAI 2021: 3243-3251 - [c202]Xiaoyun Li, Ping Li:
Rejection Sampling for Weighted Jaccard Similarity Revisited. AAAI 2021: 4197-4205 - [c201]Yunfeng Cai, Ping Li:
A Blind Block Term Decomposition of High Order Tensors. AAAI 2021: 6868-6876 - [c200]Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. AAAI 2021: 10441-10451 - [c199]Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li:
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. ACML 2021: 422-437 - [c198]Yunfeng Cai, Ping Li:
Identification of Matrix Joint Block Diagonalization. AISTATS 2021: 1495-1503 - [c197]Zhiqiang Xu, Ping Li:
On the Faster Alternating Least-Squares for CCA. AISTATS 2021: 1621-1629 - [c196]Xiaotong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS 2021: 1702-1710 - [c195]Xiaoyun Li, Ping Li:
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements. AISTATS 2021: 2647-2655 - [c194]Fan Zhou, Ping Li, Zhixin Zhou:
Principal Subspace Estimation Under Information Diffusion. AISTATS 2021: 3205-3213 - [c193]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 - [c192]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. BMVC 2021: 139 - [c191]Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. BMVC 2021: 349 - [c190]Peng Yang, Ping Li:
Adversarial Kernel Sampling on Class-imbalanced Data Streams. CIKM 2021: 2352-2362 - [c189]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 - [c188]Tan Yu, Ping Li:
Multiple Exemplars Learning for Fast Image Retrieval. CIKM 2021: 2455-2465 - [c187]Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li:
MixBERT for Image-Ad Relevance Scoring in Advertising. CIKM 2021: 3597-3602 - [c186]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 - [c185]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 - [c184]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 - [c183]Dongsheng An, Jianwen Xie, Ping Li:
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. CVPR 2021: 15415-15424 - [c182]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 - [c181]Haoliang Liu, Tan Yu, Ping Li:
Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval. EMNLP (1) 2021: 9796-9809 - [c180]Mostafa Rahmani, Ping Li:
Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP 2021: 5305-5309 - [c179]Khoa Doan, Yingjie Lao, Weijie Zhao, Ping Li:
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV 2021: 11946-11956 - [c178]Peng Yang, Yingjie Lao, Ping Li:
Robust Watermarking for Deep Neural Networks via Bi-level Optimization. ICCV 2021: 14821-14830 - [c177]Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li:
TIRA in Baidu Image Advertising. ICDE 2021: 2207-2212 - [c176]Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li:
Causal Discovery with Flow-based Conditional Density Estimation. ICDM 2021: 1300-1305 - [c175]Yang Zhao, Jianwen Xie, Ping Li:
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. ICLR 2021 - [c174]Guanhua Fang, Ping Li:
On Estimation in Latent Variable Models. ICML 2021: 3100-3110 - [c173]Guanhua Fang, Ping Li:
On Variational Inference in Biclustering Models. ICML 2021: 3111-3121 - [c172]Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. ICML 2021: 6369-6380 - [c171]Fan Zhou, Ping Li:
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations. ICML 2021: 12813-12823 - [c170]Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li:
Textual Analysis and Timely Detection of Suspended Social Media Accounts. ICWSM 2021: 644-655 - [c169]Belhal Karimi, Ping Li:
Two-Timescale Stochastic EM Algorithms. ISIT 2021: 890-895 - [c168]Hang Zhang, Ping Li:
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators. ISIT 2021: 1760-1765 - [c167]Yingzhen Yang, Ping Li:
FROS: Fast Regularized Optimization by Sketching. ISIT 2021: 2780-2785 - [c166]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 - [c165]Hongliang Fei, Tan Yu, Ping Li:
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. NAACL-HLT 2021: 3644-3650 - [c164]Haiyan Yin, Peng Yang, Ping Li:
Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS 2021: 10260-10272 - [c163]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS 2021: 15448-15463 - [c162]Khoa Doan, Yingjie Lao, Ping Li:
Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS 2021: 18944-18957 - [c161]Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang:
Rate-Optimal Subspace Estimation on Random Graphs. NeurIPS 2021: 20283-20294 - [c160]Zhiqiang Xu, Ping Li:
A Comprehensively Tight Analysis of Gradient Descent for PCA. NeurIPS 2021: 21935-21946 - [c159]Yunfeng Cai, Guanhua Fang, Ping Li:
A Note on Sparse Generalized Eigenvalue Problem. NeurIPS 2021: 23036-23048 - [c158]Weifu Wang, Ping Li:
Towards finding the shortest-paths for 3D rigid bodies. Robotics: Science and Systems 2021 - [c157]Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li:
Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR 2021: 1135-1145 - [c156]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 - [c155]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 - [c154]Yue Zhang, Hongliang Fei, Ping Li:
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. SIGIR 2021: 2257-2262 - [c153]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 - [c152]Huang Fang, Guanhua Fang, Tan Yu, Ping Li:
Efficient greedy coordinate descent via variable partitioning. UAI 2021: 547-557 - [c151]Puxuan Yu, Hongliang Fei, Ping Li:
Cross-lingual Language Model Pretraining for Retrieval. WWW 2021: 1029-1039 - [c150]Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao:
Consistent Sampling Through Extremal Process. WWW 2021: 1317-1327 - [c149]Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
MQuadE: a Unified Model for Knowledge Fact Embedding. WWW 2021: 3442-3452 - [i94]Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. CoRR abs/2102.13079 (2021) - [i93]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. CoRR abs/2106.07477 (2021) - [i92]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR abs/2106.12190 (2021) - [i91]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
Rethinking Token-Mixing MLP for MLP-based Vision Backbone. CoRR abs/2106.14882 (2021) - [i90]Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. CoRR abs/2108.01072 (2021) - [i89]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR abs/2109.03194 (2021) - [i88]Xiaoyun Li, Ping Li:
C-MinHash: Rigorously Reducing K Permutations to Two. CoRR abs/2109.03337 (2021) - [i87]Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits using Robust Statistics. CoRR abs/2109.04433 (2021) - [i86]Xiaoyun Li, Ping Li:
C-MinHash: Practically Reducing Two Permutations to Just One. CoRR abs/2109.04595 (2021) - [i85]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. CoRR abs/2109.05109 (2021) - [i84]Belhal Karimi, Xiaoyun Li, Ping Li:
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. CoRR abs/2110.00532 (2021) - [i83]Shuo Chen, Tan Yu, Ping Li:
MVT: Multi-view Vision Transformer for 3D Object Recognition. CoRR abs/2110.13083 (2021) - [i82]Xiaoyun Li, Ping Li:
C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations. CoRR abs/2111.09544 (2021) - [i81]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
- [j17]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) - [j16]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) - [c148]Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. AAAI 2020: 4747-4754 - [c147]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. AAAI 2020: 6631-6638 - [c146]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI 2020: 9466-9473 - [c145]Hongliang Fei, Ping Li:
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. ACL 2020: 5759-5771 - [c144]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 - [c143]Peng Yang, Ping Li:
Adaptive Online Kernel Sampling for Vertex Classification. AISTATS 2020: 363-373 - [c142]Yunfeng Cai, Ping Li:
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. AISTATS 2020: 3460-3470 - [c141]Yunfeng Cai, Ping Li:
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. AISTATS 2020: 4162-4172 - [c140]