Jingchao Gao

According to our database, Jingchao Gao authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract).

Jingchao Gao, Ziqing Lu, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Myung Cho, Catherine Xu, Hui Xie, Weiyu Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Outlier Detection Using Generative Models With Theoretical Performance Guarantees.

Jirong Yi, Jingchao Gao, Tianming Wang, Xiaodong Wu, Weiyu Xu

IEEE Trans. Inf. Theory, May, 2025

2024

Towards unlocking the mystery of adversarial fragility of neural networks.

Jingchao Gao, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Catherine Xu, Hui Xie, Weiyu Xu

CoRR, 2024

2023

Optimal Compression for Minimizing Classification Error Probability: An Information-Theoretic Approach.

Jingchao Gao, Ao Tang, Weiyu Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Outlier Detection for Generative Models with Performance Guarantees.

Jingchao Gao, Jirong Yi, Weiyu Xu

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability.

Jirong Yi, Myung Cho, Jingchao Gao, Xiaodong Wu, Weiyu Xu, Raghu Mudumbai

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023