Pengzhan Zhao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Learning Frameworks

Video Analytics

Top Venues

Inf. Softw. Technol.

Publications

Xiaoyu Guo, Jianjun Zhao, Pengzhan Zhao
On Repairing Quantum Programs Using ChatGPT. Q-SE@ICSE (2024)
Wangshu Liu, Ye Yue, Xiang Chen, Qing Gu, Pengzhan Zhao, Xuejun Liu, Jianjun Zhao
SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation. Inf. Softw. Technol. 174 (2024)
Xiaoyu Guo, Jianjun Zhao, Pengzhan Zhao
On Repairing Quantum Programs Using ChatGPT. CoRR (2024)
Shan Yu, Zhenting Zhu, Yu Chen, Hanchen Xu, Pengzhan Zhao, Yang Wang, Arthi Padmanabhan, Hugo Latapie, Harry Xu
VQPy: An Object-Oriented Approach to Modern Video Analytics. MLSys (2024)
Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao
Bugs4Q: A benchmark of existing bugs to enable controlled testing and debugging studies for quantum programs. J. Syst. Softw. 205 (2023)
John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Guoqing Harry Xu
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs. NSDI (2023)
Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao
An Empirical Study of Bugs in Quantum Machine Learning Frameworks. CoRR (2023)
Shan Yu, Zhenting Zhu, Yu Chen, Hanchen Xu, Pengzhan Zhao, Yang Wang, Arthi Padmanabhan, Hugo Latapie, Harry Xu
VQPy: An Object-Oriented Approach to Modern Video Analytics. CoRR (2023)
Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao
QChecker: Detecting Bugs in Quantum Programs via Static Analysis. Q-SE@ICSE (2023)
Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao
An Empirical Study of Bugs in Quantum Machine Learning Frameworks. QSW (2023)
John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Guoqing Harry Xu
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs. CoRR (2022)
Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao
A Comprehensive Study of Bug Fixes in Quantum Programs. CoRR (2022)
Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao
A Comprehensive Study of Bug Fixes in Quantum Programs. SANER (2022)
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
AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. ASPLOS (2022)
Pengzhan Zhao, Jianjun Zhao, Lei Ma
Identifying Bug Patterns in Quantum Programs. CoRR (2021)
Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. CoRR (2021)
Pengzhan Zhao, Jianjun Zhao, Lei Ma
Identifying Bug Patterns in Quantum Programs. Q-SE@ICSE (2021)
Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
DISC: A Dynamic Shape Compiler for Machine Learning Workloads. CoRR (2021)
Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
DISC: A Dynamic Shape Compiler for Machine Learning Workloads. EuroMLSys@EuroSys (2021)
Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. ASE (2021)
Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. CoRR (2020)
Yuanqi Li, Arthi Padmanabhan, Pengzhan Zhao, Yufei Wang, Guoqing Harry Xu, Ravi Netravali
Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics. SIGCOMM (2020)