Jingyang Zhang
Jingyang Zhang
ECE Ph.D. student @ Duke University
Verified email at
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DVERGE: diversifying vulnerabilities for enhanced robust generation of ensembles
H Yang, J Zhang, H Dong, N Inkawhich, A Gardner, A Touchet, W Wilkes, ...
Advances in Neural Information Processing Systems (NeurIPS), 2020
Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments
J Zhang, N Inkawhich, R Linderman, Y Chen, H Li
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Openood v1. 5: Enhanced benchmark for out-of-distribution detection
J Zhang, J Yang, P Wang, H Wang, Y Lin, H Zhang, Y Sun, X Du, K Zhou, ...
arXiv preprint arXiv:2306.09301, 2023
Data augmentation and prior knowledge-based regularization for sound event localization and detection
J Zhang, W Ding, L He
DCASE 2019 Detection and Classification of Acoustic Scenes and Events 2019 …, 2019
Privacy leakage of adversarial training models in federated learning systems
J Zhang, Y Chen, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Improving out-of-distribution detection by learning from the deployment environment
N Inkawhich, J Zhang, EK Davis, R Luley, Y Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
Multi-Scale Time-Frequency Attention for Acoustic Event Detection
J Zhang, W Ding, J Kang, L He
Proc. Interspeech 2019, 3855-3859, 2019
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment
J Zhang, H Yang, F Chen, Y Wang, H Li
The 5th Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
Fine-grain inference on out-of-distribution data with hierarchical classification
R Linderman, J Zhang, N Inkawhich, H Li, Y Chen
Conference on Lifelong Learning Agents, 162-183, 2023
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
N Inkawhich, KJ Liang, J Zhang, H Yang, H Li, Y Chen
IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021
Mintin: Maxout-based and input-normalized transformation invariant neural network
J Zhang, K Jia, P Yang, F Qiao, Q Wei, X Liu, H Yang
2018 25th IEEE International Conference on Image Processing (ICIP), 3014-3018, 2018
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
A Miyai, J Yang, J Zhang, Y Ming, Q Yu, G Irie, Y Li, H Li, Z Liu, K Aizawa
arXiv preprint arXiv:2403.20331, 2024
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion
Y Lin, J Zhang, Y Chen, H Li
arXiv preprint arXiv:2311.12981, 2023
Sio: Synthetic in-distribution data benefits out-of-distribution detection
J Zhang, N Inkawhich, R Linderman, R Luley, Y Chen, H Li
arXiv preprint arXiv:2303.14531, 2023
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
J Zhang, J Sun, E Yeats, Y Ouyang, M Kuo, J Zhang, H Yang, H Li
arXiv preprint arXiv:2404.02936, 2024
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