Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics. - Yuanqi Li; Arthi Padmanabhan; Pengzhan Zhao; Yufei Wang; Guoqing Harry Xu; Ravi Netravali (SIGCOMM, 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 052; Wei Lin 016 (CoRR, 2020)

DISC: A Dynamic Shape Compiler for Machine Learning Workloads. - Kai Zhu; Wenyi Zhao; Zhen Zheng; Tianyou Guo; Pengzhan Zhao; Junjie Bai; Jun Yang 052; Xiaoyong Liu; Lansong Diao; Wei Lin 016 (EuroMLSys@EuroSys, 2021)

Identifying Bug Patterns in Quantum Programs. - Pengzhan Zhao; Jianjun Zhao 001; Lei Ma 003 (Q-SE@ICSE, 2021)

Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. - Pengzhan Zhao; Jianjun Zhao 001; Zhongtao Miao; Shuhan Lan (ASE, 2021)

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 052; Jidong Zhai; Shuaiwen Leon Song; Wei Lin 016 (ASPLOS, 2022)

A Comprehensive Study of Bug Fixes in Quantum Programs. - Junjie Luo 005; Pengzhan Zhao; Zhongtao Miao; Shuhan Lan; Jianjun Zhao 001 (SANER, 2022)

QChecker: Detecting Bugs in Quantum Programs via Static Analysis. - Pengzhan Zhao; Xiongfei Wu; Zhuo Li; Jianjun Zhao 001 (Q-SE@ICSE, 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 (NSDI, 2023)

An Empirical Study of Bugs in Quantum Machine Learning Frameworks. - Pengzhan Zhao; Xiongfei Wu; Junjie Luo 005; Zhuo Li; Jianjun Zhao 001 (QSW, 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 001 (Zenodo, 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 001 (J. Syst. Softw., 2023)

On Repairing Quantum Programs Using ChatGPT. - Xiaoyu Guo 007; Jianjun Zhao 001; Pengzhan Zhao (Q-SE@ICSE, 2024)

VQPy: An Object-Oriented Approach to Modern Video Analytics. - Shan Yu; Zhenting Zhu; Yu Chen 038; Hanchen Xu; Pengzhan Zhao; Yang Wang; Arthi Padmanabhan; Hugo Latapie; Harry Xu 001 (MLSys, 2024)

SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation. - Wangshu Liu; Ye Yue; Xiang Chen 005; Qing Gu 001; Pengzhan Zhao; Xuejun Liu; Jianjun Zhao 001 (Inf. Softw. Technol., 2024)