Jie Shen
27 papers · 2014–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (10)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(10)
πΊ
Lone Wolf
(5)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(111)
π
Century Club
(27)
π₯
Unstoppable
(10)
π
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
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