PhasePack: A phase retrieval library. - Rohan Chandra; Ziyuan Zhong; Justin Hontz; Val McCulloch; Christoph Studer; Tom Goldstein (ACSSC, 2017)

PhasePack User Guide. - Rohan Chandra; Ziyuan Zhong; Justin Hontz; Val McCulloch; Christoph Studer; Tom Goldstein (CoRR, 2017)

Noise-tolerant fair classification. - Alexandre Louis Lamy; Ziyuan Zhong (NeurIPS, 2019)

Metric Learning for Adversarial Robustness. - Chengzhi Mao; Ziyuan Zhong; Junfeng Yang; Carl Vondrick; Baishakhi Ray (NeurIPS, 2019)

Noise-tolerant fair classification. - Alexandre Louis Lamy; Ziyuan Zhong; Aditya Krishna Menon; Nakul Verma (CoRR, 2019)

Testing Deep Neural Network based Image Classifiers. - Yuchi Tian; Ziyuan Zhong; Vicente Ordonez; Baishakhi Ray (CoRR, 2019)

Testing DNN image classifiers for confusion & bias errors. - Yuchi Tian; Ziyuan Zhong; Vicente Ordonez; Gail E. Kaiser; Baishakhi Ray (ICSE (Companion Volume), 2020)

Understanding Spatial Robustness of Deep Neural Networks. - Ziyuan Zhong; Yuchi Tian; Baishakhi Ray (CoRR, 2020)

Understanding Local Robustness of Deep Neural Networks under Natural Variations. - Ziyuan Zhong; Yuchi Tian; Baishakhi Ray (FASE, 2021)

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. - Ziyuan Zhong; Zhisheng Hu; Shengjian Guo; Xinyang Zhang 001; Zhenyu Zhong; Baishakhi Ray (CoRR, 2021)

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. - Ziyuan Zhong; Yun Tang 003; Yuan Zhou 005; Vânia de Oliveira Neves; Yang Liu 003; Baishakhi Ray (CoRR, 2021)

Detecting multi-sensor fusion errors in advanced driver-assistance systems. - Ziyuan Zhong; Zhisheng Hu; Shengjian Guo; Xinyang Zhang 001; Zhenyu Zhong; Baishakhi Ray (ISSTA, 2022)

Repairing Group-Level Errors for DNNs Using Weighted Regularization. - Ziyuan Zhong; Yuchi Tian; Conor J. Sweeney; Vicente Ordóñez Román; Baishakhi Ray (CoRR, 2022)

Automatic Map Generation for Autonomous Driving System Testing. - Yun Tang 003; Yuan Zhou 005; Kairui Yang; Ziyuan Zhong; Baishakhi Ray; Yang Liu 003; Ping Zhang; Junbo Chen (CoRR, 2022)

Fast 2-out-of-n ECDSA Threshold Signature. - Lin Zhong; Yujue Wang; Jun Du; Daji Liang; Ziyuan Zhong; Kevin He; Andrew Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2023)

CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. - Md Shahriar Iqbal; Ziyuan Zhong; Iftakhar Ahmad; Baishakhi Ray; Pooyan Jamshidi (SoCC, 2023)

Language-Guided Traffic Simulation via Scene-Level Diffusion. - Ziyuan Zhong; Davis Rempe; Yuxiao Chen 008; Boris Ivanovic; Yulong Cao; Danfei Xu; Marco Pavone 001; Baishakhi Ray (CoRL, 2023)

Guided Conditional Diffusion for Controllable Traffic Simulation. - Ziyuan Zhong; Davis Rempe; Danfei Xu; Yuxiao Chen 008; Sushant Veer; Tong Che; Baishakhi Ray; Marco Pavone 001 (ICRA, 2023)

Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. - Ziyuan Zhong; Gail E. Kaiser; Baishakhi Ray (IEEE Trans. Software Eng., 2023)

Simulation Based Testing for Autonomous Driving Systems - Ziyuan Zhong (2024)

Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0. - Hongmin Gao 002; Pengfei Duan; Xiaofeng Pan; Xiaojing Zhang; Keke Ye; Ziyuan Zhong (J. Cloud Comput., 2024)

Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. - Kairui Yang; Zihao Guo; Gengjie Lin; Haotian Dong; Zhao Huang; Yipeng Wu; Die Zuo; Jibin Peng; Ziyuan Zhong; Xin Wang 118; Qing Guo 005; Xiaosong Jia; et al. (ICLR, 2025)

Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance. - Ziyuan Zhong; Junyang Zhou (IEEE Access, 2025)