Shang-Tse Chen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Venues

CoRR

KDD

SECON Workshops

ECML/PKDD (3)

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
Annealing Self-Distillation Rectification Improves Adversarial Training. ICLR (2024)
Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. CoRR (2024)
Bo-Han Kung, Shang-Tse Chen
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization. AAAI (2024)
Hsuan Su, Rebecca Qian, Chinnadhurai Sankar, Shahin Shayandeh, Shang-Tse Chen, Hung-yi Lee, Daniel M. Bikel
Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems. CoRR (2023)
Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu
Fair Robust Active Learning by Joint Inconsistency. ICCV (Workshops) (2023)
Hsuan Su, Cheng-Chu Cheng, Hua Farn, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models. CoRR (2023)
Bo-Han Kung, Shang-Tse Chen
QCRS: Improve Randomized Smoothing using Quasi-Concave Optimization. CoRR (2023)
Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
Annealing Self-Distillation Rectification Improves Adversarial Training. CoRR (2023)
Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-yi Lee
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR (2023)
Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen
Enhancing Targeted Attack Transferability via Diversified Weight Pruning. CoRR (2022)
Hsuan Su, Po-Han Chi, Shih-Cheng Huang, Ho-Lam Chung, Saurav Sahay, Shang-Tse Chen, Hung-Yi Lee
Few-shot Prompting Towards Controllable Response Generation. CoRR (2022)
Tsung-Han Wu, Shang-Tse Chen, Winston H. Hsu
Fair Robust Active Learning by Joint Inconsistency. CoRR (2022)
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. CoRR (2020)
Scott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment. IEEE BigData (2020)
Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. CoRR (2019)
Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. ECML/PKDD (1) (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. KDD (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression. CoRR (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. CoRR (2018)
Maria-Florina Balcan, Avrim Blum, Shang-Tse Chen
Diversified Strategies for Mitigating Adversarial Attacks in Multiagent Systems. AAMAS (2018)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. ECML/PKDD (3) (2018)
Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau
Robust Physical Adversarial Attack on Faster R-CNN Object Detector. CoRR (2018)
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Rahul C. Basole, Moushumi Sharmin, Duen Horng Chau
Chronodes: Interactive Multifocus Exploration of Event Sequences. ACM Trans. Interact. Intell. Syst. 8 (1) (2018)
Shang-Tse Chen, Yufei Han, Duen Horng Chau, Christopher S. Gates, Michael Hart, Kevin A. Roundy
Predicting Cyber Threats with Virtual Security Products. ACSAC (2017)
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression. CoRR (2017)
Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. KDD (2016)
Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. CoRR (2016)
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau
Chronodes: Interactive Multi-focus Exploration of Event Sequences. CoRR (2016)
Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
Communication Efficient Distributed Agnostic Boosting. AISTATS (2016)
Qianao Ju, Shang-Tse Chen, Ying Zhang
Benchmarking renderscript: potential for energy efficient multi-core mobile devices. SECON Workshops (2015)
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST (2015)
Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
Communication Efficient Distributed Agnostic Boosting. CoRR (2015)
Paras Jain, Shang-Tse Chen, Mozhgan Azimpourkivi, Duen Horng Chau, Bogdan Carbunar
Spotting Suspicious Reviews via (Quasi-)clique Extraction. CoRR (2015)
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
Boosting with Online Binary Learners for the Multiclass Bandit Problem. ICML (2014)
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
An Online Boosting Algorithm with Theoretical Justifications. ICML (2012)
Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup (2009)

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Publication Activity (10 Years)

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Shang-Tse Chen