Hsuan-Tien Lin

About Hsuan-Tien Lin

Hsuan-Tien Lin, With an exceptional h-index of 34 and a recent h-index of 25 (since 2020), a distinguished researcher at National Taiwan University, specializes in the field of Machine Learning, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis

From SMOTE to Mixup for Deep Imbalanced Classification

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference

Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance

Re-Benchmarking Pool-Based Active Learning for Binary Classification

Reduction from complementary-label learning to probability estimates

Enhancing Label Sharing Efficiency in Complementary-Label Learning with Label Augmentation

CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels

Hsuan-Tien Lin Information

University

Position

Professor of Computer Science and Information Engineering

Citations(all)

7274

Citations(since 2020)

3388

Cited By

5198

hIndex(all)

34

hIndex(since 2020)

25

i10Index(all)

67

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Hsuan-Tien Lin Skills & Research Interests

Machine Learning

Data Mining

Top articles of Hsuan-Tien Lin

Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis

2024

From SMOTE to Mixup for Deep Imbalanced Classification

2023/12/1

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference

arXiv e-prints

2023/10

Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance

arXiv preprint arXiv:2307.04081

2023/7/9

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Re-Benchmarking Pool-Based Active Learning for Binary Classification

arXiv preprint arXiv:2306.08954

2023/6/15

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Reduction from complementary-label learning to probability estimates

2023/5/25

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Enhancing Label Sharing Efficiency in Complementary-Label Learning with Label Augmentation

arXiv preprint arXiv:2305.08344

2023/5/15

Gang Niu
Gang Niu

H-Index: 23

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels

arXiv preprint arXiv:2305.08295

2023/5/15

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Learning key steps to attack deep reinforcement learning agents

Machine Learning

2023/5

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Semi-Supervised Domain Adaptation with Source Label Adaptation

2023

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Improving clustering uncertainty-weighted embeddings for active domain adaptation

2022/12/1

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Improving conditional score-based generation with calibrated classification and joint training

2022/11/29

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Reducing Training Sample Memorization in GANs by Training with Memorization Rejection

arXiv preprint arXiv:2210.12231

2022/10/21

Cho-Jui Hsieh
Cho-Jui Hsieh

H-Index: 46

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Accurate and Clear Quantitative Precipitation Nowcasting Based on a Deep Learning Model with Consecutive Attention and Rain-Map Discrimination

Artificial Intelligence for the Earth Systems

2022/7

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN

2022/7

A Unified View of cGANs with and without Classifiers

Advances in Neural Information Processing Systems

2021/12/6

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration

arXiv preprint arXiv:2111.02316

2021/11/3

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Active Refinement for Multi-Label Learning: A Pseudo-Label Approach

arXiv preprint arXiv:2109.14676

2021/9/29

On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition

2021/8/14

Hsuan-Tien Lin
Hsuan-Tien Lin

H-Index: 22

Colin Raffel
Colin Raffel

H-Index: 29

Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination

arXiv preprint arXiv:2102.08175

2021/2/16

See List of Professors in Hsuan-Tien Lin University(National Taiwan University)

Co-Authors

academic-engine