← Authors

Jie Shen

27 papers · 2014–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐺 Lone Wolf (5) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (111) πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer

Conferences

ICML (9) AISTATS (4) NIPS (4) WACV (3) ALT (2) AAAI (1) COLING (1) CVPR (1) JMLR (1) UAI (1)

Top co-authors

Ping Li (8) Shiwei Zeng (4) Maja Pantic (4) Yujiang Wang (3) Jing Wang (2) Shiyang Cheng (2) Chicheng Zhang (2) Huan Xu (2) Pranjal Awasthi (2) Stavros Petridis (1)

Keywords

active learning (6) pac learning (6) label complexity (4) hard thresholding (4) compressed sensing (4) sparse signal (3) support recovery (3) matrix factorization (3) malicious noise (3) online learning (2) noise tolerance (2) low-rank representation (2) nuclear norm (2) subspace clustering (2) label noise (2) outlier detection (2) dictionary learning (2) non-convex optimization (2) sample complexity (2) attribute-efficient learning (2)

Papers

Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate ALT 2025
Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution AAAI 2024
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection WACV 2023
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise ICML 2023
PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time AISTATS 2023
Semi-Verified PAC Learning from the Crowd AISTATS 2023
Residual-Based Sampling for Online Outlier-Robust PCA ICML 2022
List-Decodable Sparse Mean Estimation NIPS 2022
Efficient PAC Learning from the Crowd with Pairwise Comparisons ICML 2022
Metric-Fair Active Learning ICML 2022
Lip-Reading With Densely Connected Temporal Convolutional Networks WACV 2021
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise ICML 2021
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise ICML 2021
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance ALT 2021
One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020
Shape Constrained Network for Eye Segmentation in the Wild WACV 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise NIPS 2020
Dynamic Face Video Segmentation via Reinforcement Learning CVPR 2020
Robust Matrix Completion from Quantized Observations AISTATS 2019
Provable Variable Selection for Streaming Features ICML 2018
A Tight Bound of Hard Thresholding JMLR 2018
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NIPS 2017
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016
Learning Structured Low-Rank Representation via Matrix Factorization AISTATS 2016
Improved Word Embeddings with Implicit Structure Information COLING 2016
Online Optimization for Max-Norm Regularization NIPS 2014