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Jie Shen 0005
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Publications
- 2023
- [c20]Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang:
Certified Edge Unlearning for Graph Neural Networks. KDD 2023: 2606-2617 - 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 - 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 - 2020
- [c12]Chicheng Zhang, Jie Shen, Pranjal Awasthi:
Efficient active learning of sparse halfspaces with arbitrary bounded noise. NeurIPS 2020 - [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) - 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)
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