Pengzhan Zhao

According to our database, Pengzhan Zhao authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation.

Wangshu Liu, Ye Yue, Xiang Chen, Qing Gu, Pengzhan Zhao, Xuejun Liu, Jianjun Zhao

Inf. Softw. Technol., 2024

VQPy: An Object-Oriented Approach to Modern Video Analytics.

Shan Yu, Zhenting Zhu, Yu Chen, Hanchen Xu, Pengzhan Zhao, Yang Wang, Arthi Padmanabhan, Hugo Latapie, Harry Xu

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

On Repairing Quantum Programs Using ChatGPT.

Xiaoyu Guo, Jianjun Zhao, Pengzhan Zhao

Proceedings of the 5th ACM/IEEE International Workshop on Quantum Software Engineering, 2024

2023

Bugs4Q: A benchmark of existing bugs to enable controlled testing and debugging studies for quantum programs.

Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao

J. Syst. Softw., November, 2023

Bugs4Q: A Benchmark of Existing Bugs to Enable Controlled Testing and Debugging Studies for Quantum Programs.

Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao

Dataset, July, 2023

An Empirical Study of Bugs in Quantum Machine Learning Frameworks.

Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao

Proceedings of the IEEE International Conference on Quantum Software, 2023

Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs.

John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Guoqing Harry Xu

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

QChecker: Detecting Bugs in Quantum Programs via Static Analysis.

Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao

Proceedings of the 4th IEEE/ACM International Workshop on Quantum Software Engineering, 2023

2022

A Comprehensive Study of Bug Fixes in Quantum Programs.

Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao

Proceedings of the IEEE International Conference on Software Analysis, 2022

AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures.

Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Bugs4Q: A Benchmark of Real Bugs for Quantum Programs.

Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Identifying Bug Patterns in Quantum Programs.

Pengzhan Zhao, Jianjun Zhao, Lei Ma

Proceedings of the 2nd IEEE/ACM International Workshop on Quantum Software Engineering, 2021

DISC: A Dynamic Shape Compiler for Machine Learning Workloads.

Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.

Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin

CoRR, 2020

Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics.

Yuanqi Li, Arthi Padmanabhan, Pengzhan Zhao, Yufei Wang, Guoqing Harry Xu, Ravi Netravali

Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020