58 citations · 62 across the 4 of their papers we have counts for
9 papers
Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance
Ziyuan Zhong, Junyang Zhou
In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives,acritical in safety-critical domains…
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
Controllable and realistic traffic simulation is critical for developing and verifying autonomous vehicles. Typical heuristic-based traffic models offer flexible control to make ve…
Repairing Group-Level Errors for DNNs Using Weighted Regularization
Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney +2
Deep Neural Networks (DNNs) have been widely used in software making decisions impacting people's lives. However, they have been found to exhibit severe erroneous behaviors that ma…
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
Deep Neural Networks (DNNs) are being deployed in a wide range of settings today, from safety-critical applications like autonomous driving to commercial applications involving ima…
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
Deep networks are well-known to be fragile to adversarial attacks. We conduct an empirical analysis of deep representations under the state-of-the-art attack method called PGD, and…
Testing DNN Image Classifiers for Confusion & Bias Errors
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez +2
Image classifiers are an important component of today's software, from consumer and business applications to safety-critical domains. The advent of Deep Neural Networks (DNNs) is t…