Communication optimization for RDMA-based science data transmission tools. - Weizhe Zhang; Meng Hao 002; Zhiyong Xu (J. Supercomput., 2016)

Predicting HPC parallel program performance based on LLVM compiler. - Weizhe Zhang; Meng Hao 002; Marc Snir (Clust. Comput., 2017)

PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications. - Meng Hao 002; Weizhe Zhang; Laurence Tianruo Yang (HPCC/SmartCity/DSS, 2019)

Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features. - Meng Hao 002; Weizhe Zhang; Yiming Wang 010; Dong Li; Wen Xia; Hao Wang 003; Chen Lou (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Automatic generation of benchmarks for I/O-intensive parallel applications. - Meng Hao 002; Weizhe Zhang; You Zhang; Marc Snir; Laurence T. Yang (J. Parallel Distributed Comput., 2019)

Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading. - Farui Wang; Weizhe Zhang; Haonan Guo; Meng Hao 002; Gangzhao Lu; Zheng Wang 001 (J. Supercomput., 2021)

Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning. - Meng Hao 002; Weizhe Zhang; Yiming Wang 010; Gangzhao Lu; Farui Wang; Athanasios V. Vasilakos (IEEE Trans. Parallel Distributed Syst., 2021)

Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach. - Yiming Wang 010; Weizhe Zhang; Meng Hao 002; Zheng Wang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Dynamic GPU Energy Optimization for Machine Learning Training Workloads. - Farui Wang; Weizhe Zhang; Shichao Lai; Meng Hao 002; Zheng Wang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Fast Memory Disaggregation with SwiftSwap. - Xiangwei Zhang; Desheng Wang 002; Weizhe Zhang; Zhiji Yu; Meng Hao 002 (NPC (1), 2024)

DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning. - Yiming Wang 010; Meng Hao 002; Hui He; Weizhe Zhang; Qiuyuan Tang; Xiaoyang Sun; Zheng Wang 001 (IEEE Trans. Sustain. Comput., 2024)

Model-Free GPU Online Energy Optimization. - Farui Wang; Meng Hao 002; Weizhe Zhang; Zheng Wang 001 (IEEE Trans. Sustain. Comput., 2024)

Optimizing depthwise separable convolution on DCU. - Zheng Liu; Meng Hao 002; Weizhe Zhang; Gangzhao Lu; Xueyang Tian; Siyu Yang; Mingdong Xie; Jie Dai; Chenyu Yuan; Desheng Wang 002; Hongwei Yang (CCF Trans. High Perform. Comput., 2024)

SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving. - Wang Bobo; Hongwei Yang; Meng Hao 002; Jiannan Zhang; Hui He; Weizhe Zhang (ACM Trans. Auton. Adapt. Syst., 2025)

Deep Learning Workload Mapping Optimization on Jetson Platforms. - Farui Wang; Meng Hao 002; Siyu Yang; Weizhe Zhang (ACM Trans. Archit. Code Optim., 2025)

Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems. - Yiming Wang 010; Weizhe Zhang; Meng Hao 002; Weizhi Kong; Yuan Wen (ACM Trans. Archit. Code Optim., 2025)

HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption. - Jinghao Zhao; Hongwei Yang; Meng Hao 002; Weizhe Zhang; Hui He; Desheng Wang 002 (ACM Trans. Archit. Code Optim., 2025)