Compiler support for speculative multithreading architecture with probabilistic points-to analysis. - Peng-Sheng Chen; Ming-Yu Hung; Yuan-Shin Hwang; Roy Dz-Ching Ju; Jenq Kuen Lee (PPoPP, 2003)

Compiler Supports and Optimizations for PAC VLIW DSP Processors. - Yung-Chia Lin; Chung-Lin Tang; Chung-Ju Wu; Ming-Yu Hung; Yi-Ping You; Ya-Chiao Moo; Sheng-Yuan Chen; Jenq Kuen Lee (LCPC, 2005)

Support of Probabilistic Pointer Analysis in the SSA Form. - Ming-Yu Hung; Peng-Sheng Chen; Yuan-Shin Hwang; Roy Dz-Ching Ju; Jenq Kuen Lee (IEEE Trans. Parallel Distributed Syst., 2012)

A Probabilistic Framework for Compiler Optimization with Multithread Power-Gating Controls. - Wen-Li Shih; Cheng-Yen Lin; Ming-Yu Hung; Jenq Kuen Lee (ICPP Workshops, 2016)

Accelerate DNN Performance with Sparse Matrix Compression in Halide. - Chao-Lin Lee; Chen-Ting Chao; Jenq-Kuen Lee; Ming-Yu Hung; Chung-Wen Huang (ICPP Workshops, 2019)

Sparse-Matrix Compression Primitives with OpenCL Framework to Support Halide. - Chao-Lin Lee; Chen-Ting Chao; Jenq-Kuen Lee; Chung-Wen Huang; Ming-Yu Hung (IWOCL, 2019)

Devise Sparse Compression Schedulers to Enhance FastText Methods. - Chen-Ting Chao; Wei-Hsu Chu; Chao-Lin Lee; Jenq-Kuen Lee; Ming-Yu Hung; Hsiang-Wei Sung (ICPP Workshops, 2020)

Enabling Android NNAPI Flow for TVM Runtime. - Ming-Yi Lai; Chia-Yu Sung; Jenq-Kuen Lee; Ming-Yu Hung (ICPP Workshops, 2020)

Experiment and enabled flow for GPGPU-Sim simulators with fixed-point instructions. - Chao-Lin Lee; Min-Yih Hsu; Bing-Sung Lu; Ming-Yu Hung; Jenq-Kuen Lee (J. Syst. Archit., 2020)

Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM. - Hui-Hsin Liao; Chao-Lin Lee; Jenq-Kuen Lee; Wei-Chih Lai; Ming-Yu Hung; Chung-Wen Huang (ICPP Workshops, 2021)

Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions. - Che-Chia Lin; Chao-Lin Lee; Jenq-Kuen Lee; Howard Wang; Ming-Yu Hung (ICPP Workshops, 2021)

Accelerating AI Applications with Sparse Matrix Compression in Halide. - Chao-Lin Lee; Chen-Ting Chao; Wei-Hsu Chu; Ming-Yu Hung; Jenq-Kuen Lee (J. Signal Process. Syst., 2023)