Shih-Cheng Huang

41 papers A* 4A 1Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.
EACL (Volume 1: Long Papers)
Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2025 J jnl
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.
CoRR
Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2025 A conf
Efficient Analytical Placement Algorithm with Hybrid Fence Region Constraints Using Non-Newtonian Fluid Model.
ICCAD
Jai-Ming Lin, Hung-Wei Hsu, Tan Huang, Chen-Fa Tsai, De-Shiun Fu, Shih-Cheng Huang
2025 — conf
Latch-Up Over-Current Protection Design with Power Restarted Function.
IRPS
Shih-Cheng Huang, Ming-Dou Ker
2025 — conf
Overcoming Training Data Scarcity in Routing Demand Prediction via Ensemble Learning.
ACM Great Lakes Symposium on VLSI
Yu-Guang Chen, Shih-Cheng Huang, Cheng-Hong Tsai, De-Shiun Fu, Mango Chia-Tso Chao
2024 — conf
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages.
ACL (1)
Shih-Cheng Huang, Pin-Zu Li, Yu-Chi Hsu, Kuang-Ming Chen, Yu-Tung Lin, Shih-Kai Hsiao, Richard Tzong-Han Tsai, Hung-yi Lee
2024 J jnl
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.
CoRR
Pierre J. Chambon, Jean-Benoit Delbrouck, Thomas Sounack, Shih-Cheng Huang, Zhihong Chen, Maya Varma, Steven Q. H. Truong, Chu The Chuong, Curtis P. Langlotz
2024 — conf
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning.
NAACL (Student Research Workshop)
Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee
2024 — conf
TWBias: A Benchmark for Assessing Social Bias in Traditional Chinese Large Language Models through a Taiwan Cultural Lens.
EMNLP (Findings)
Hsin-Yi Hsieh, Shih-Cheng Huang, Richard Tzong-Han Tsai
2024 J jnl
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR
Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
2023 J jnl
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation.
CoRR
Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung
2023 J jnl
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
npj Digit. Medicine
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
2023 J jnl
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.
CoRR
Kathryn Wantlin, Chenwei Wu, Shih-Cheng Huang, Oishi Banerjee, Farah Dadabhoy, Veeral Vipin Mehta, Ryan Wonhee Han, Fang Cao, Raja R. Narayan, Errol Colak, Adewole S. Adamson, Laura Heacock, Geoffrey H. Tison, Alex Tamkin, Pranav Rajpurkar
2023 J jnl
Chat Vector: A Simple Approach to Equip LLMs With New Language Chat Capabilities.
CoRR
Shih-Cheng Huang, Pin-Zu Li, Yu-Chi Hsu, Kuang-Ming Chen, Yu-Tung Lin, Shih-Kai Hsiao, Richard Tzong-Han Tsai, Hung-yi Lee
2023 A* conf
Diagnosing and Rectifying Vision Models using Language.
ICLR
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
2023 J jnl
Diagnosing and Rectifying Vision Models using Language.
CoRR
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
2023 A* conf
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms.
NeurIPS
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries
2023 J jnl
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis.
CoRR
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries
2023 A* conf
LOVM: Language-Only Vision Model Selection.
NeurIPS
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
2023 J jnl
LOVM: Language-Only Vision Model Selection.
CoRR
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
2023 J jnl
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans. Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
2023 J jnl
Self-supervised learning for medical image classification: a systematic review and implementation guidelines.
npj Digit. Medicine
Shih-Cheng Huang, Anuj Pareek, Malte E. K. Jensen, Matthew P. Lungren, Serena Yeung, Akshay S. Chaudhari
2023 J jnl
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks.
CoRR
Alexander Ke, Shih-Cheng Huang, Chloe O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
2023 — conf
Video pretraining advances 3D deep learning on chest CT tasks.
MIDL
Alexander Ke, Shih-Cheng Huang, Chloe O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
2022 — conf
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation.
ML4H@NeurIPS
Yuhui Zhang, Shih-Cheng Huang, Zhengping Zhou, Matthew P. Lungren, Serena Yeung
2022 J jnl
Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation.
IEEE J. Biomed. Health Informatics
Jiangdian Song, Shih-Cheng Huang, Brendan Kelly, Guanqun Liao, Jingyun Shi, Ning Wu, Weimin Li, Zaiyi Liu, Lei Cui, Matthew P. Lungren, Michael E. Moseley, Peng Gao, Jie Tian, Kristen W. Yeom
2022 J jnl
Few-shot Prompting Towards Controllable Response Generation.
CoRR
Hsuan Su, Po-Han Chi, Shih-Cheng Huang, Ho-Lam Chung, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2022 J jnl
General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning.
CoRR
Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee
2022 J jnl
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
CoRR
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
2022 J jnl
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
npj Digit. Medicine
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
2021 A* conf
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition.
ICCV
Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung
2021 J jnl
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations.
CoRR
Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido A. Davidzon, Akshay Chaudhari, Matthew P. Lungren
2021 J jnl
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR
Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
2021 J jnl
Reading Race: AI Recognises Patient's Racial Identity In Medical Images.
CoRR
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya
2020 J jnl
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
2020 — conf
Bio-Magnetic/Eddy-Current Sensor Design for Biological Object Detection.
AIM
Chun-Yeon Lin, Yi-Chin Wu, Yuan-Liang Chen, Shih-Cheng Huang
2020 J jnl
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines.
npj Digit. Medicine
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren
2020 J jnl
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
2019 — conf
Distributed Current Source Method for Modeling Magnetic and Eddy-Current Fields induced in Biological Object.
AIM
Chun-Yeon Lin, Kok-Meng Lee, Yuan-Liang Chen, Shih-Cheng Huang
2019 J jnl
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks.
PLoS Comput. Biol.
Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
2018 J jnl
Ten Simple Rules for Reproducible Research in Jupyter Notebooks.
CoRR
Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose