SHIH-CHIH LIN

PhD student, International Intercollegiate Ph.D. Program, National Tsinghua University

Joined

February 2023

Names

SHIH-CHIH LIN (Preferred)

,

SHIH CHIH LIN

Emails

****@gapp.nthu.edu.tw (Confirmed)

,

****@gmail.com

Personal Links

Career & Education History

PhD student

International Intercollegiate Ph.D. Program, National Tsinghua University (nthu.edu.tw)

2020 – Present

MS student

AIMS Fellows Executive Master Program, National Tsinghua University (nthu.edu.tw)

2019 – 2023

Advisors, Relations & Conflicts

PhD Advisor

2019 – 2024

Expertise

Computer Vision

2019 – Present

Publications

TMCD-RS: Trustworthy Multimodal Change Detection for Remote Sensing
Wei-Chieh Sun, SHIH-CHIH LIN, Jia-Xian Jian, YunTung Chu, Fang-Yi Lin
- TrustVLM
- Readers: Everyone
BSSRS: Bridging Semantic and Structural Manifolds for Zero-Shot Single-Temporal Remote Sensing Anomaly Detection
SHIH-CHIH LIN, Jia-Xian Jian, YunTung Chu, Wei-Chieh Sun, Fang-Yi Lin
- AI4X-AC 2026 Poster
- Readers: Everyone
BSMAD: Bridging Semantic and Structural Manifolds for Robust Cross-Modality Medical Anomaly Detection
SHIH-CHIH LIN
- AI4X-AC 2026 Poster
- Readers: Everyone
BSMAD:Bridging Semantic and Structural Manifolds for Robust Cross-Modality Medical Anomaly Detection
SHIH-CHIH LIN, Jenq-Neng Hwang, Shang-Hong Lai
- Med-Reasoner 2026 Poster
- Readers: Everyone
TGUMIAD: Text-Guided Unified Model for Medical Image Anomaly Detection
SHIH-CHIH LIN
- SPARTA_AAAI2026 Poster
- Readers: Everyone
UFSMatAD: A Unified Framework for Few-Shot Material Anomaly Detection Across Nanofiber SEM and Wafer Imaging
SHIH-CHIH LIN
- AI4Mat-NeurIPS-2025 Poster
- Readers: Everyone
LFQUIAD: Lookup-Free Quantized autoencoder for few-shot Unsupervised Industrial Anomaly Detection via Synthetic Diffusion Inpainting
SHIH-CHIH LIN, Shang-Hong Lai
- SynData4CV
- Readers: Everyone

Co-Authors