World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14137
World Ranking
4263
National Ranking
2009

Overview

Pin-Yu Chen is affiliated with IBM in the United States. Their research contributions are primarily situated within the field of Computer Science, with a substantial focus on Artificial Intelligence. They have also engaged in interdisciplinary work covering subfields such as Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

Their recent work has explored several advanced topics including Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Quantum Computing Algorithms and Architecture, and Stochastic Gradient Optimization Techniques.

Pin-Yu Chen has published extensively in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Their recent papers include:

  • Vision Transformers Are Robust Learners (2022) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples (2020) - Proceedings of the AAAI Conference on Artificial Intelligence
  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications (2020) - IEEE Signal Processing Magazine
  • Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States (2020) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition (2020) - arXiv (Cornell University)

The scientist frequently collaborates with peers including Sijia Liu, Chao-Han Huck Yang, Payel Das, Tsung-Yi Ho, and Cho-Jui Hsieh.

Best Publications

  • ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models

    Pin-Yu Chen;Huan Zhang;Yash Sharma;Jinfeng Yi

  • ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

    Pin-Yu Chen;Huan Zhang;Yash Sharma;Jinfeng Yi

  • EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

    Pin-Yu Chen;Yash Sharma;Huan Zhang;Jinfeng Yi

  • Efficient Neural Network Robustness Certification with General Activation Functions

    Huan Zhang;Tsui-Wei Weng;Pin-Yu Chen;Cho-Jui Hsieh

  • AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

    Chun-Chen Tu;Paishun Ting;Pin-Yu Chen;Sijia Liu

  • Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

    Dong Su;Huan Zhang;Hongge Chen;Jinfeng Yi

  • Topology attack and defense for graph neural networks: An optimization perspective

    Kaidi Xu;Hongge Chen;Sijia Liu;Pin Yu Chen

  • Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

    Tsui-Wei Weng;Huan Zhang;Pin-Yu Chen;Jinfeng Yi

  • Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

    Payel Das;Payel Das;Tom Sercu;Tom Sercu;Kahini Wadhawan;Inkit Padhi

  • One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

    Vijay Arya;Rachel K. E. Bellamy;Pin-Yu Chen;Amit Dhurandhar

  • Adversarial T-shirt! Evading Person Detectors in A Physical World

    Kaidi Xu;Gaoyuan Zhang;Sijia Liu;Quanfu Fan

  • Variational Quantum Circuits for Deep Reinforcement Learning

    Samuel Yen-Chi Chen;Chao-Han Huck Yang;Jun Qi;Pin-Yu Chen

  • Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach

    Minhao Cheng;Thong Le;Pin-Yu Chen;Jinfeng Yi

  • DBA: Distributed Backdoor Attacks against Federated Learning

    Chulin Xie;Keli Huang;Pin-Yu Chen;Bo Li

  • Smart attacks in smart grid communication networks

    Pin-Yu Chen;Shin-Ming Cheng;Kwang-Cheng Chen

  • Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

    Minhao Cheng;Jinfeng Yi;Pin-Yu Chen;Huan Zhang

  • Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

    Amit Dhurandhar;Pin-Yu Chen;Ronny Luss;Chun-Chen Tu

  • Vision Transformers are Robust Learners

    Sayak Paul;Pin-Yu Chen

  • TrustLLM: Trustworthiness in Large Language Models

    Unknown

  • Efficient Neural Network Robustness Certification with General Activation Functions

    Huan Zhang;Tsui-Wei Weng;Pin-Yu Chen;Cho-Jui Hsieh

  • Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

    Chao-Han Huck Yang;Jun Qi;Samuel Yen-Chi Chen;Pin-Yu Chen

  • Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

    Tsui-Wei Weng;Huan Zhang;Pin-Yu Chen;Jinfeng Yi

  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications

    Sijia Liu;Pin-Yu Chen;Bhavya Kailkhura;Gaoyuan Zhang

  • Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

    Minhao Cheng;Thong Le;Pin-Yu Chen;Jinfeng Yi

  • On Modeling Malware Propagation in Generalized Social Networks

    Shin-Ming Cheng;Weng Chon Ao;Pin-Yu Chen;Kwang-Cheng Chen

  • Structured Adversarial Attack: Towards General Implementation and Better Interpretability

    Kaidi Xu;Sijia Liu;Pu Zhao;Pin-Yu Chen

  • Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

    Ren Wang;Gaoyuan Zhang;Sijia Liu;Pin-Yu Chen

Frequent Co-Authors

Sijia Liu
Sijia Liu Michigan State University
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Huan Zhang
Huan Zhang University of California, Los Angeles
Jinfeng Yi
Jinfeng Yi IBM (United States)
Kwang-Cheng Chen
Kwang-Cheng Chen University of South Florida
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Shiyu Chang
Shiyu Chang University of California, Santa Barbara

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up a wide variety of educational and career opportunities. For those seeking flexible entry into the tech field, online associate degree programs can provide solid foundational skills and improve job prospects in a relatively short period.

If you want to advance your career quickly, there are quick certifications that pay well, which are ideal for gaining in-demand technical expertise and boosting your earning potential without a long-term commitment.

For those interested in graduate studies, you may want to consider the quickest cheapest masters degree options available online. These programs offer a fast track to advanced knowledge and skills, usually at a lower cost and with flexible study schedules.

If you aim for job security and advancement, choosing which master's degree is most in demand in usa can help ensure your credentials remain relevant and attractive to employers in a rapidly changing tech landscape.

Best Scientists Citing Pin-Yu Chen

Trending Scientists

Recently Published Articles