Ziyuan Zhong - RankMe

31 papers A* 5A 1B 1Misc 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance. IEEE Access Ziyuan Zhong, Junyang Zhou
2025	J	`jnl`	Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance. CoRR Ziyuan Zhong, Junyang Zhou
2025	A*	`conf`	Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. ICLR Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin
2024	J	`jnl`	Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0. J. Cloud Comput. Hongmin Gao, Pengfei Duan, Xiaofeng Pan, Xiaojing Zhang, Keke Ye, Ziyuan Zhong
2024	—	`—`	Simulation Based Testing for Autonomous Driving Systems Ziyuan Zhong
2023	—	`conf`	CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. SoCC Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
2023	J	`jnl`	CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. CoRR Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
2023	—	`conf`	Fast 2-out-of-n ECDSA Threshold Signature. ISPA/BDCloud/SocialCom/SustainCom Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang
2023	A*	`conf`	Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
2023	Misc	`conf`	Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRL Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
2023	J	`jnl`	Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRR Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
2023	J	`jnl`	Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. IEEE Trans. Software Eng. Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray
2022	J	`jnl`	Automatic Map Generation for Autonomous Driving System Testing. CoRR Yun Tang, Yuan Zhou, Kairui Yang, Ziyuan Zhong, Baishakhi Ray, Yang Liu, Ping Zhang, Junbo Chen
2022	A	`conf`	Detecting multi-sensor fusion errors in advanced driver-assistance systems. ISSTA Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
2022	J	`jnl`	Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
2022	J	`jnl`	Repairing Group-Level Errors for DNNs Using Weighted Regularization. CoRR Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray
2021	J	`jnl`	A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. CoRR Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray
2021	J	`jnl`	Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. CoRR Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
2021	J	`jnl`	Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. CoRR Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray
2021	B	`conf`	Understanding Local Robustness of Deep Neural Networks under Natural Variations. FASE Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
2020	A*	`conf`	Testing DNN image classifiers for confusion & bias errors. ICSE Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
2020	—	`conf`	Testing DNN image classifiers for confusion & bias errors. ICSE (Companion Volume) Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
2020	J	`jnl`	Understanding Spatial Robustness of Deep Neural Networks. CoRR Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
2019	A*	`conf`	Metric Learning for Adversarial Robustness. NeurIPS Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
2019	J	`jnl`	Metric Learning for Adversarial Robustness. CoRR Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
2019	A*	`conf`	Noise-tolerant fair classification. NeurIPS Alexandre Louis Lamy, Ziyuan Zhong
2019	J	`jnl`	Noise-tolerant fair classification. CoRR Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon, Nakul Verma
2019	J	`jnl`	Testing Deep Neural Network based Image Classifiers. CoRR Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray
2017	J	`jnl`	PhasePack User Guide. CoRR Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017	J	`jnl`	PhasePack: A Phase Retrieval Library. CoRR Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017	Misc	`conf`	PhasePack: A phase retrieval library. ACSSC Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein