(* indicates the author is my PhD student)

• Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang. Certified Edge Unlearning for Graph Neural Networks, KDD 2023

• Shiwei Zeng*, Jie Shen. Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise, ICML 2023 [arXiv]

• Jie Shen. PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time, AISTATS 2023

• Shiwei Zeng*, Jie Shen. Semi-Verified PAC Learning from the Crowd, AISTATS 2023

• Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold. Uncertainty-Based Active Learning for Reading Comprehension, TMLR 2022

• Shiwei Zeng*, Jie Shen. List-Decodable Sparse Mean Estimation, NeurIPS 2022 [arXiv] [video]

• Shiwei Zeng*, Jie Shen. Efficient PAC Learning from the Crowd with Pairwise Comparisons, ICML 2022 [arXiv] [video]

• Jie Shen, Nan Cui*, Jing Wang. Metric-Fair Active Learning, ICML 2022 [video]

• Tianhao Zhu*, Jie Shen. Residual-Based Sampling for Online Outlier-Robust PCA, ICML 2022 [video]

• Jing Wang, Jie Shen. Fast Spectral Analysis for Approximate Nearest Neighbor Search, ML 2022

• Jie Shen. Sample-Optimal PAC Learning of Halfspaces with Malicious Noise, ICML 2021 [arXiv] [video]

• Jie Shen. On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise, ICML 2021 [arXiv] [video]

• Jie Shen, Chicheng Zhang. Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance, ALT 2021 [arXiv] [video]

• Chicheng Zhang, Jie Shen, Pranjal Awasthi. Efficient Active Learning of Sparse Halfspaces with Arbitrary Bounded Noise, NeurIPS 2020 (oral) [arXiv] [video]

• Jie Shen. One-Bit Compressed Sensing via One-Shot Hard Thresholding, UAI 2020 [arXiv] [video]

• Jie Shen, Pranjal Awasthi, Ping Li. Robust Matrix Completion from Quantized Observations, AISTATS 2019

• Jing Wang, Jie Shen, Ping Li. Provable Variable Selection for Streaming Features, ICML 2018 [video]

• Jie Shen, Ping Li. A Tight Bound of Hard Thresholding, JMLR 2018 [arXiv]

• Jie Shen, Ping Li. Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery, NeurIPS 2017

• Jie Shen, Ping Li. On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit, ICML 2017 [video]

• Jing Wang, Jie Shen, Ping Li. Object Proposal with Kernelized Partial Ranking, PR 2017 [arXiv]

• Jing Wang, Jie Shen, Ping Li, Huan Xu. Online Matrix Completion for Signed Link Prediction, WSDM 2017 [slides]

• Jie Shen, Huan Xu, Ping Li. Online Optimization for Max-Norm Regularization, ML 2017 [arXiv] [code]

• Jie Shen, Ping Li. Learning Structured Low-Rank Representation via Matrix Factorization, AISTATS 2016

• Jie Shen, Ping Li, Huan Xu. Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit, ICML 2016 [arXiv] [code]

• Jie Shen, Huan Xu, Ping Li. Online Optimization for Max-Norm Regularization, NIPS 2014 [arXiv] [code]

• Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu. A Latent Clothing Attribute Approach for Human Pose Estimation, ACCV 2014

• 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 TIP 2014 [arXiv]