| 2026 | CGO | TRACE4J: A Lightweight, Flexible, and Insightful Performance Tracing Tool for Java. | Haide He, Pengfei Su |
| 2026 | ICS | TenProf: A Tensor-Centric Profiler for Deep Learning Workload Analysis and Optimization. | Xingjian Ding, Keren Zhou, Yueming Hao, Pengfei Su |
| 2025 | PAKDD | An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition. | Chao Zhang, Pengfei Su, Xiaopei Wu |
| 2024 | USENIX | Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. | Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath |
| 2024 | USENIX | FlexMem: Adaptive Page Profiling and Migration for Tiered Memory. | Dong Xu, Junhee Ryu, Kwangsik Shin, Pengfei Su, Dong Li |
| 2023 | ASPLOS | DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications. | Mao Lin, Keren Zhou, Pengfei Su |
| 2023 | CGO | DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java. | Bolun Li, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu |
| 2022 | ICSE | OJXPERF: Featherlight Object Replica Detection for Java Programs. | Bolun Li, Hao Xu, Qidong Zhao, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu |
| 2019 | ICSE | Redundant loads: a software inefficiency indicator. | Pengfei Su, Shasha Wen, Hailong Yang, Milind Chabbi, Xu Liu |
| 2019 | PPoPP | Lightweight hardware transactional memory profiling. | Qingsen Wang, Pengfei Su, Milind Chabbi, Xu Liu |
| 2019 | SC | Pinpointing performance inefficiencies via lightweight variance profiling. | Pengfei Su, Shuyin Jiao, Milind Chabbi, Xu Liu |