Pin-Yu Chen

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 441

Top Venues

Publications

Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR (2024)
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, EnSiong Chng, Chao-Han Huck Yang
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. CoRR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. CoRR (2024)
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection. CoRR (2024)
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. 87 (1) (2024)
Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. MLSP (2023)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR (2023)
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. CoRR (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR (2023)
Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Certified Interpretability Robustness for Class Activation Mapping. CoRR (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. CoRR (2023)
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
Reprogramming Pretrained Language Models for Antibody Sequence Infilling. ICML (2023)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL (2023)
Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR (2023)
Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models. CoRR (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. NeurIPS (2023)
Neel Bhandari, Pin-Yu Chen
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. CoRR (2023)
Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren
Exploring the Benefits of Visual Prompting in Differential Privacy. ICCV (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR (2023)
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
Overload: Latency Attacks on Object Detection for Edge Devices. CoRR (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
Causal Video Summarizer for Video Exploration. CoRR (2023)
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML (2023)
Sarwan Ali, Pin-Yu Chen, Murray Patterson
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA (2023)
Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. AAAI (2023)
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
How to Backdoor Diffusion Models? CVPR (2023)
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR (2023)
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. CoRR (2023)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML (2023)
Saiteja Utpala, Sara Hooker, Pin-Yu Chen
Locally Differentially Private Document Generation Using Zero Shot Prompting. CoRR (2023)
Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang
MENTOR: Multilingual Text Detection Toward Learning by Analogy. IROS (2023)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where. CoRR (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV (2023)
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts. CoRR (2023)
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI (2023)
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. CoRR (2023)
Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia
Learning to Design Fair and Private Voting Rules (Extended Abstract). IJCAI (2023)
Xilong Wang, Chia-Mu Yu, Pin-Yu Chen
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers. CoRR (2023)
Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. CoRR (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Causal Transformer for Noisy Image Classification. WACV (2023)
Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen
Exploring the Benefits of Visual Prompting in Differential Privacy. CoRR (2023)
Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
Identification of the Adversary from a Single Adversarial Example. ICML (2023)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits. CoRR (2023)
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. MICCAI (1) (2023)
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. CoRR (2023)
Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS (2023)
Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi
Convex Bounds on the Softmax Function with Applications to Robustness Verification. AISTATS (2023)
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR (2023)
Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR (2023)
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR (2023)
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models. CoRR (2023)
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CVPR (2023)
Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR (2023)
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. 274 (2023)
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR (2023)
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models. NeurIPS (2023)
Pin-Yu Chen, Sijia Liu
Holistic Adversarial Robustness of Deep Learning Models. AAAI (2023)
Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia
Computational Complexity of Verifying the Group No-show Paradox. AAMAS (2023)
Pin-Yu Chen, Payel Das
AI Maintenance: A Robustness Perspective. Computer 56 (2) (2023)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR (2023)
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Conditional Modeling Based Automatic Video Summarization. CoRR (2023)
Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. ICASSP (2023)
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR (2023)
Pin-Yu Chen, Payel Das
AI Maintenance: A Robustness Perspective. CoRR (2023)
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Sijia Liu, Tsung-Yi Ho
AutoVP: An Automated Visual Prompting Framework and Benchmark. CoRR (2023)
Saiteja Utpala, Sara Hooker, Pin-Yu Chen
Locally Differentially Private Document Generation Using Zero Shot Prompting. EMNLP (Findings) (2023)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR (2023)
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
Uncovering and Quantifying Social Biases in Code Generation. NeurIPS (2023)
Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang
Robust Event Classification Using Imperfect Real-World PMU Data. IEEE Internet Things J. 10 (9, May 1) (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops (2023)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR (2023)
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
RADAR: Robust AI-Text Detection via Adversarial Learning. CoRR (2023)
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
RADAR: Robust AI-Text Detection via Adversarial Learning. NeurIPS (2023)
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML (2023)
Diganta Misra, Agam Goyal, Bharat Runwal, Pin-Yu Chen
Reprogramming under constraints: Revisiting efficient and reliable transferability of lottery tickets. CoRR (2023)
Neel Bhandari, Pin-Yu Chen
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. ICASSP (2023)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR (2023)
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
Visual Prompting for Adversarial Robustness. ICASSP (2023)
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
Uncovering and Quantifying Social Biases in Code Generation. CoRR (2023)
Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. ICML (2023)
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! CoRR (2023)
Ria Vinod, Pin-Yu Chen, Payel Das
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning. CoRR (2023)
Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. ICCV (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. AAAI (2023)
Saiteja Utpala, Alex Gu, Pin-Yu Chen
Language Agnostic Code Embeddings. CoRR (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Transformer for Noisy Image Classification. CoRR (2022)
Elvin Lo, Pin-Yu Chen
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization. CoRR (2022)
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
Training a Resilient Q-network against Observational Interference. AAAI (2022)
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
How to Backdoor Diffusion Models? CoRR (2022)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. CoRR (2022)
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR (2022)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML (2022)
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. 4 (1) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pin-Yu Chen