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ORCIDJie Shen 0005
Person information
- affiliation: Stevens Institute of Technology, Hoboken, NJ, USA
- affiliation (PhD 2018): Rutgers University, Department of Computer Science, Piscataway, NJ, USA
- affiliation (until 2014): Shanghai Jiao Tong University, China
Other persons with the same name
- Jie Shen — disambiguation page
- Jie Shen 0001
![[0000-0002-4885-5732]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4885-5732")
— Purdue University, Department of Mathematics, West Lafayette, IN, USA (and 2 more) - Jie Shen 0003 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Jie Shen 0004 — Hohai University, College of Computer and Information, Nanjing, China
- Jie Shen 0006 — East China University of Science and Technology, School of Pharmacy, Shanghai, China
- Jie Shen 0007 — Liaoning Normal University, School of Mathematics, Dalian, China
- Jie Shen 0008 — Imperial College London, UK
- Jie Shen 0009 — University of Michigan-Dearborn, USA
- Jie Shen 0010 — Rambus Inc., Sunnyvale, CA, USA (and 1 more)
- Jie Shen 0011 — Zhejiang University, Hangzhou, China
- Jie Shen 0012 — Shanghai Jiaotong University, China
- Jie Shen 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Jie Shen 0014 — Zhejiang University of Technology, Institute of Cyberspace Security, College of Information Engineering, Hangzhou, China
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2020 – today
- 2023
[c22]Shiwei Zeng, Jie Shen:
Semi-Verified PAC Learning from the Crowd. AISTATS 2023: 505-522- [c21]Shiwei Zeng, Jie Shen:
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise. ICML 2023: 40719-40748 - [c20]Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang:
Certified Edge Unlearning for Graph Neural Networks. KDD 2023: 2606-2617 - [i15]Shiwei Zeng, Jie Shen:
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise. CoRR abs/2306.00673 (2023) - 2022
- [j5]Jing Wang, Jie Shen:
Fast spectral analysis for approximate nearest neighbor search. Mach. Learn. 111(6): 2297-2322 (2022) - [c19]Jie Shen, Nan Cui, Jing Wang:
Metric-Fair Active Learning. ICML 2022: 19809-19826 - [c18]Shiwei Zeng, Jie Shen:
Efficient PAC Learning from the Crowd with Pairwise Comparisons. ICML 2022: 25973-25993 - [c17]Tianhao Zhu, Jie Shen:
Residual-Based Sampling for Online Outlier-Robust PCA. ICML 2022: 27591-27611 - [c16]Shiwei Zeng, Jie Shen:
List-Decodable Sparse Mean Estimation. NeurIPS 2022 - [i14]Shiwei Zeng, Jie Shen:
List-Decodable Sparse Mean Estimation. CoRR abs/2205.14337 (2022) - 2021
- [c15]Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. ALT 2021: 1072-1113 - [c14]Jie Shen:
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise. ICML 2021: 9503-9514 - [c13]Jie Shen:
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise. ICML 2021: 9515-9524 - [i13]Jie Shen:
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise. CoRR abs/2102.06247 (2021) - [i12]Shiwei Zeng, Jie Shen:
Semi-verified Learning from the Crowd with Pairwise Comparisons. CoRR abs/2106.07080 (2021) - 2020
- [c12]Chicheng Zhang, Jie Shen, Pranjal Awasthi:
Efficient active learning of sparse halfspaces with arbitrary bounded noise. NeurIPS 2020 - [c11]Jie Shen:
One-Bit Compressed Sensing via One-Shot Hard Thresholding. UAI 2020: 510-519 - [i11]Chicheng Zhang, Jie Shen, Pranjal Awasthi:
Efficient active learning of sparse halfspaces with arbitrary bounded noise. CoRR abs/2002.04840 (2020) - [i10]Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. CoRR abs/2006.03781 (2020) - [i9]Jie Shen:
One-Bit Compressed Sensing via One-Shot Hard Thresholding. CoRR abs/2007.03641 (2020) - [i8]Shiwei Zeng, Jie Shen:
Learning Halfspaces with Pairwise Comparisons: Breaking the Barriers of Query Complexity via Crowd Wisdom. CoRR abs/2011.01104 (2020) - [i7]Jie Shen:
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise. CoRR abs/2012.10793 (2020)
2010 – 2019
- 2019
- [c10]Jie Shen, Pranjal Awasthi, Ping Li:
Robust Matrix Completion from Quantized Observations. AISTATS 2019: 397-407 - 2018
- [c9]Jing Wang, Jie Shen, Ping Li:
Provable Variable Selection for Streaming Features. ICML 2018: 5158-5166 - 2017
- [j4]Jie Shen, Ping Li:
A Tight Bound of Hard Thresholding. J. Mach. Learn. Res. 18: 208:1-208:42 (2017) - [j3]Jie Shen, Huan Xu, Ping Li:
Online optimization for max-norm regularization. Mach. Learn. 106(3): 419-457 (2017) - [j2]Jing Wang, Jie Shen, Ping Li:
Object proposal with kernelized partial ranking. Pattern Recognit. 69: 299-309 (2017) - [c8]Jie Shen, Ping Li:
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit. ICML 2017: 3115-3124 - [c7]Jie Shen, Ping Li:
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. NIPS 2017: 3124-3134 - [c6]Jing Wang, Jie Shen, Ping Li, Huan Xu:
Online Matrix Completion for Signed Link Prediction. WSDM 2017: 475-484 - 2016
- [c5]Jie Shen, Ping Li:
Learning Structured Low-Rank Representation via Matrix Factorization. AISTATS 2016: 500-509 - [c4]Jie Shen, Ping Li, Huan Xu:
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit. ICML 2016: 622-631 - [i6]Jie Shen, Ping Li:
A Tight Bound of Hard Thresholding. CoRR abs/1605.01656 (2016) - 2015
- [i5]Jing Wang, Jie Shen:
Object Proposal via Partial Re-ranking. CoRR abs/1502.01526 (2015) - [i4]Jing Wang, Jie Shen, Huan Xu:
Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion. CoRR abs/1504.06394 (2015) - 2014
- [j1]Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan:
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. IEEE Trans. Image Process. 23(11): 4786-4798 (2014) - [c3]Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu:
A Latent Clothing Attribute Approach for Human Pose Estimation. ACCV (1) 2014: 146-161 - [c2]Jie Shen, Huan Xu, Ping Li:
Online Optimization for Max-Norm Regularization. NIPS 2014: 1718-1726 - [c1]Weipeng Zhang, Jia Chen, Jie Shen, Yong Yu:
Location-Based Hierarchical Event Summary for Social Media Photos. PCM 2014: 254-257 - [i3]Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan:
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. CoRR abs/1404.4923 (2014) - [i2]Jie Shen, Huan Xu, Ping Li:
Online Optimization for Max-Norm Regularization. CoRR abs/1406.3190 (2014) - [i1]Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu:
A Latent Clothing Attribute Approach for Human Pose Estimation. CoRR abs/1411.4331 (2014)
Coauthor Index
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