A Latent Clothing Attribute Approach for Human Pose Estimation. - Weipeng Zhang; Jie Shen 005; Guangcan Liu; Yong Yu 001 (ACCV (1), 2014)

Location-Based Hierarchical Event Summary for Social Media Photos. - Weipeng Zhang; Jia Chen 001; Jie Shen 005; Yong Yu 001 (PCM, 2014)

Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. - Jie Shen 005; Guangcan Liu; Jia Chen 001; Yuqiang Fang; Jianbin Xie; Yong Yu 001; Shuicheng Yan (IEEE Trans. Image Process., 2014)

Object Proposal via Partial Re-ranking. - Jing Wang 021; Jie Shen 005 (CoRR, 2015)

Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion. - Jing Wang 021; Jie Shen 005; Huan Xu (CoRR, 2015)

Learning Structured Low-Rank Representation via Matrix Factorization. - Jie Shen 005; Ping Li 001 (AISTATS, 2016)

Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit. - Jie Shen 005; Ping Li 001; Huan Xu (ICML, 2016)

On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit. - Jie Shen 005; Ping Li 001 (ICML, 2017)

Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. - Jie Shen 005; Ping Li 001 (NIPS, 2017)

Online Matrix Completion for Signed Link Prediction. - Jing Wang 021; Jie Shen 005; Ping Li 001; Huan Xu (WSDM, 2017)

A Tight Bound of Hard Thresholding. - Jie Shen 005; Ping Li 001 (J. Mach. Learn. Res., 2017)

Online optimization for max-norm regularization. - Jie Shen 005; Huan Xu; Ping Li 001 (Mach. Learn., 2017)

Object proposal with kernelized partial ranking. - Jing Wang 021; Jie Shen 005; Ping Li 001 (Pattern Recognit., 2017)

Provable Variable Selection for Streaming Features. - Jing Wang 021; Jie Shen 005; Ping Li 001 (ICML, 2018)

Robust Matrix Completion from Quantized Observations. - Jie Shen 005; Pranjal Awasthi; Ping Li 001 (AISTATS, 2019)

Efficient active learning of sparse halfspaces with arbitrary bounded noise. - Chicheng Zhang; Jie Shen 005; Pranjal Awasthi (NeurIPS, 2020)

One-Bit Compressed Sensing via One-Shot Hard Thresholding. - Jie Shen 005 (UAI, 2020)

Learning Halfspaces with Pairwise Comparisons: Breaking the Barriers of Query Complexity via Crowd Wisdom. - Shiwei Zeng 001; Jie Shen 005 (CoRR, 2020)

Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. - Jie Shen 005; Chicheng Zhang (ALT, 2021)

On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise. - Jie Shen 005 (ICML, 2021)

Sample-Optimal PAC Learning of Halfspaces with Malicious Noise. - Jie Shen 005 (ICML, 2021)

Semi-verified Learning from the Crowd with Pairwise Comparisons. - Shiwei Zeng 001; Jie Shen 005 (CoRR, 2021)

Metric-Fair Active Learning. - Jie Shen 005; Nan Cui; Jing Wang 021 (ICML, 2022)

Efficient PAC Learning from the Crowd with Pairwise Comparisons. - Shiwei Zeng 001; Jie Shen 005 (ICML, 2022)

Residual-Based Sampling for Online Outlier-Robust PCA. - Tianhao Zhu; Jie Shen 005 (ICML, 2022)

List-Decodable Sparse Mean Estimation. - Shiwei Zeng 001; Jie Shen 005 (NeurIPS, 2022)

Fast spectral analysis for approximate nearest neighbor search. - Jing Wang 021; Jie Shen 005 (Mach. Learn., 2022)

Semi-Verified PAC Learning from the Crowd. - Shiwei Zeng 001; Jie Shen 005 (AISTATS, 2023)

Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise. - Shiwei Zeng 001; Jie Shen 005 (ICML, 2023)

Certified Edge Unlearning for Graph Neural Networks. - Kun Wu 011; Jie Shen 005; Yue Ning 001; Ting Wang 006; Wendy Hui Wang (KDD, 2023)

Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate. - Shiwei Zeng 001; Jie Shen 005 (CoRR, 2025)