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Ziyuan Zhong
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2020 – today
- 2024
- [j2]Hongmin Gao, Pengfei Duan, Xiaofeng Pan, Xiaojing Zhang, Keke Ye, Ziyuan Zhong:
Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0. J. Cloud Comput. 13(1): 21 (2024) - 2023
- [j1]Ziyuan Zhong
, Gail E. Kaiser
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. IEEE Trans. Software Eng. 49(4): 1860-1875 (2023) - [c11]Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang:
Fast 2-out-of-n ECDSA Threshold Signature. ISPA/BDCloud/SocialCom/SustainCom 2023: 456-465 - [c10]Md Shahriar Iqbal
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. SoCC 2023: 555-571 - [c9]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRL 2023: 144-177 - [c8]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA 2023: 3560-3566 - [i14]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRR abs/2306.06344 (2023) - [i13]Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi:
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. CoRR abs/2306.07888 (2023) - 2022
- [c7]Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray:
Detecting multi-sensor fusion errors in advanced driver-assistance systems. ISSTA 2022: 493-505 - [i12]Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray:
Repairing Group-Level Errors for DNNs Using Weighted Regularization. CoRR abs/2203.13612 (2022) - [i11]Yun Tang
Automatic Map Generation for Autonomous Driving System Testing. CoRR abs/2206.09357 (2022) - [i10]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR abs/2210.17366 (2022) - 2021
- [c6]Ziyuan Zhong
Understanding Local Robustness of Deep Neural Networks under Natural Variations. FASE 2021: 313-337 - [i9]Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray:
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. CoRR abs/2109.06126 (2021) - [i8]Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray:
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. CoRR abs/2109.06404 (2021) - [i7]Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray:
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. CoRR abs/2112.00964 (2021) - 2020
- [c5]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray:
Testing DNN image classifiers for confusion & bias errors. ICSE (Companion Volume) 2020: 304-305 - [c4]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser
Testing DNN image classifiers for confusion & bias errors. ICSE 2020: 1122-1134 - [i6]Ziyuan Zhong, Yuchi Tian, Baishakhi Ray:
Understanding Spatial Robustness of Deep Neural Networks. CoRR abs/2010.04821 (2020)
2010 – 2019
- 2019
- [c3]Alexandre Louis Lamy, Ziyuan Zhong:
Noise-tolerant fair classification. NeurIPS 2019: 294-305 - [c2]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. NeurIPS 2019: 478-489 - [i5]Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon, Nakul Verma:
Noise-tolerant fair classification. CoRR abs/1901.10837 (2019) - [i4]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray:
Testing Deep Neural Network based Image Classifiers. CoRR abs/1905.07831 (2019) - [i3]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. CoRR abs/1909.00900 (2019) - 2017
- [c1]Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein:
PhasePack: A phase retrieval library. ACSSC 2017: 1617-1621 - [i2]Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein:
PhasePack User Guide. CoRR abs/1711.09777 (2017) - [i1]Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein:
PhasePack: A Phase Retrieval Library. CoRR abs/1711.10175 (2017)
Coauthor Index
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last updated on 2024-05-08 21:00 CEST by the dblp team
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