Jenq-Kuen Lee - RankMe

52 papers B 1C 1Misc 1Journal 20Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Hardware-aware Graph Partition for Mobile Inference Acceleration. ICPP Workshops Meng-Shiun Yu, Feng-Yi Zhan, Ming-Zhang Huang, Tai-Liang Chen, Jenq-Kuen Lee
2025	J	`jnl`	Optimizing computer vision algorithms with TVM on VLIW architecture based on RVV. J. Supercomput. Meng-Shiun Yu, Hao-Chun Chang, Chong-Teng Wang, Yu-Wei Tien, Tai-Liang Chen, Jenq-Kuen Lee
2025	—	`conf`	RISC-V Vectorization Coverage for HPC: A TSVC-Based Analysis. SC Workshops Hung-Ming Lai, Pei-Hung Lin, Maya B. Gokhale, Ivy Peng, Hiren D. Patel, Jenq-Kuen Lee
2025	—	`conf`	Support SIMD Optimization with Post Quantum Cryptography Validation on Move Language. ICPP Workshops Chiahui Su, Hsuan-Yun Hung, Liang-Ni Wang, I-An Chen, Jenq-Kuen Lee
2025	J	`jnl`	Support of MISRA C++ Analyzer for Reliability of Embedded Systems. ACM Trans. Cyber Phys. Syst. Che-Chia Lin, Wei-Hsu Chu, Chia-Hsuan Chang, Hui-Hsin Liao, Chun-Chieh Yang, Jenq-Kuen Lee, Yi-Ping You, Tien-Yuan Hsieh
2025	Misc	`conf`	Work-in-Progress: Extending a RISC-V Core with Sub-FP8 Support for Machine Learning. CODES+ISSS Kathryn Chapman, Fu-Jian Shen, Jhih-Kuan Lin, Jenq-Kuen Lee
2024	J	`jnl`	Case Study: Optimization Methods With TVM Hybrid-OP on RISC-V Packed SIMD. IEEE Access Meng-Shiun Yu, Chuan-Yue Yuan, Tai-Liang Chen, Jenq-Kuen Lee
2024	C	`conf`	Low DRAM Memory Access and Flexible Dataflow Convolutional Neural Network Accelerator based on RISC-V Custom Instruction. ISCAS Yi-Fan Chen, Yu-Jen Chang, Ching-Te Chiu, Ming-Long Huang, Geng-Ming Liang, Chao-Lin Lee, Jenq-Kuen Lee, Ping-Yu Hsieh, Wei-Chih Lai
2024	—	`conf`	Rewriting and Optimizing Vector Length Agnostic Intrinsics from Arm SVE to RVV. ICPP Workshops Jhih-Kuan Lin, Yu-Lun Yang, Hung-Ming Lai, Jenq-Kuen Lee
2024	—	`conf`	The Rewriting of DataRaceBench Benchmark for OpenCL Program Validations. ICPP Workshops Chia-Chen Hsu, Chun-Lin Huang, Chao-Lin Lee, Jenq-Kuen Lee, Pei-Hung Lin
2023	J	`jnl`	Accelerating AI Applications with Sparse Matrix Compression in Halide. J. Signal Process. Syst. Chao-Lin Lee, Chen-Ting Chao, Wei-Hsu Chu, Ming-Yu Hung, Jenq-Kuen Lee
2023	J	`jnl`	Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot. Connect. Sci. Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai
2023	J	`jnl`	Auto-tuning Fixed-point Precision with TVM on RISC-V Packed SIMD Extension. ACM Trans. Design Autom. Electr. Syst. Chun-Chieh Yang, Yi-Ru Chen, Hui-Hsin Liao, Yuan-Ming Chang, Jenq-Kuen Lee
2023	—	`conf`	Enhancing LLVM Optimizations for Linear Recurrence Programs on RVV. ICPP Workshops Hung-Ming Lai, Jenq-Kuen Lee, Yuan-Shin Hwang
2023	J	`jnl`	Guest Editorial: Special Issue on Systems Optimizations for DSP and AI Applications. J. Signal Process. Syst. Kuan-Hsun Chen, Yung-Chia Lin, Jenq-Kuen Lee
2023	J	`jnl`	SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions. CoRR Ju-Hung Li, Jhih-Kuan Lin, Yung-Cheng Su, Chi-Wei Chu, Lai-Tak Kuok, Hung-Ming Lai, Chao-Lin Lee, Jenq-Kuen Lee
2023	J	`jnl`	Simulation Environment with Customized RISC-V Instructions for Logic-in-Memory Architectures. CoRR Jia-Hui Su, Chen-Hua Lu, Jenq-Kuen Lee, Andrea Coluccio, Fabrizio Riente, Marco Vacca, Marco Ottavi, Kuan-Hsun Chen
2023	—	`conf`	Support of Sparse Tensor Computing for MLIR HLS. ICPP Workshops Geng-Ming Liang, Chao-Lin Lee, Robert Lai, Jenq-Kuen Lee
2022	—	`conf`	Application Showcases for TVM with NeuroPilot on Mobile Devices. ICPP Workshops Sheng-Yuan Cheng, Chun-Ping Chung, Robert Lai, Jenq-Kuen Lee
2022	—	`conf`	C++OpenCL4TVM: Support C++OpenCL Kernel for TVM NN Operators. IWOCL Po-Yao Chang, Tai-Liang Chen, Yu-Tse Huang, Meng-Shiun Yu, Jenq-Kuen Lee
2022	J	`jnl`	Case Study: Design Strategies for Enabling Visual Application Blocks of Bluetooth Library. IEEE Access Tai-Liang Chen, I-An Su, Jenq-Kuen Lee
2022	J	`jnl`	Efficient Realization of Decision Trees for Real-Time Inference. ACM Trans. Embed. Comput. Syst. Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen
2022	—	`conf`	Efficient Support of the Scan Vector Model for RISC-V Vector Extension. ICPP Workshops Hung-Ming Lai, Jenq-Kuen Lee
2022	—	`conf`	Register-Pressure Aware Predicator for Length Multiplier of RVV. ICPP Workshops Meng-Shiuan Shih, Hung-Ming Lai, Chao-Lin Lee, Chung-Kai Chen, Jenq-Kuen Lee
2022	—	`conf`	The Support of MLIR HLS Adaptor for LLVM IR. ICPP Workshops Geng-Ming Liang, Chuan-Yue Yuan, Meng-Shiun Yu, Tai-Liang Chen, Kuan-Hsun Chen, Jenq-Kuen Lee
2021	—	`conf`	Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions. ICPP Workshops Che-Chia Lin, Chao-Lin Lee, Jenq-Kuen Lee, Howard Wang, Ming-Yu Hung
2021	—	`conf`	Enabling the Use of C++20 Unseq Execution Policy for OpenCL. IWOCL Po-Yao Chang, Tai-Liang Chen, Jenq-Kuen Lee
2021	J	`jnl`	NNBlocks: a Blockly framework for AI computing. J. Supercomput. Tai-Liang Chen, Yi-Ru Chen, Meng-Shiun Yu, Jenq-Kuen Lee
2021	J	`jnl`	Pointer-Based Divergence Analysis for OpenCL 2.0 Programs. ACM Trans. Parallel Comput. Shao-Chung Wang, Lin-Ya Yu, Li-An Her, Yuan-Shin Hwang, Jenq-Kuen Lee
2021	—	`conf`	Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM. ICPP Workshops Hui-Hsin Liao, Chao-Lin Lee, Jenq-Kuen Lee, Wei-Chih Lai, Ming-Yu Hung, Chung-Wen Huang
2021	J	`jnl`	Support NNEF execution model for NNAPI. J. Supercomput. Yuan-Ming Chang, Chia-Yu Sung, Yu-Chien Sheu, Meng-Shiun Yu, Min-Yih Hsu, Jenq-Kuen Lee
2020	—	`conf`	Accelerating NNEF Framework on OpenCL Devices Using clDNN. IWOCL Meng-Shiun Yu, Tai-Liang Chen, Jenq-Kuen Lee
2020	—	`conf`	Devise Sparse Compression Schedulers to Enhance FastText Methods. ICPP Workshops Chen-Ting Chao, Wei-Hsu Chu, Chao-Lin Lee, Jenq-Kuen Lee, Ming-Yu Hung, Hsiang-Wei Sung
2020	—	`conf`	Enabling Android NNAPI Flow for TVM Runtime. ICPP Workshops Ming-Yi Lai, Chia-Yu Sung, Jenq-Kuen Lee, Ming-Yu Hung
2020	J	`jnl`	Experiment and enabled flow for GPGPU-Sim simulators with fixed-point instructions. J. Syst. Archit. Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Ming-Yu Hung, Jenq-Kuen Lee
2020	—	`conf`	Experiments and optimizations for TVM on RISC-V Architectures with P Extension. VLSI-DAT Yi-Ru Chen, Hui-Hsin Liao, Chia-Hsuan Chang, Che-Chia Lin, Chao-Lin Lee, Yuan-Ming Chang, Chun-Chieh Yang, Jenq-Kuen Lee
2019	—	`conf`	Accelerate DNN Performance with Sparse Matrix Compression in Halide. ICPP Workshops Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Ming-Yu Hung, Chung-Wen Huang
2019	—	`conf`	Case Study: Support OpenCL Complex Class for Baseband Computing. IWOCL Chia-Hsuan Chang, Chun-Chieh Yang, Jenq-Kuen Lee, Yung-Chia Lin
2019	—	`conf`	Devise Rust Compiler Optimizations on RISC-V Architectures with SIMD Instructions. ICPP Workshops Heng Lin, Piyo Chen, Yuan-Shin Hwang, Jenq-Kuen Lee
2019	J	`jnl`	Guest Editorial: Special Issue on Embedded Multicore Applications and Optimization. J. Signal Process. Syst. Yung-Chia Lin, Jenq-Kuen Lee, François Bodin
2019	—	`conf`	Sparse-Matrix Compression Primitives with OpenCL Framework to Support Halide. IWOCL Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Chung-Wen Huang, Ming-Yu Hung
2019	J	`jnl`	Support OpenCL 2.0 Compiler on LLVM for PTX Simulators. J. Signal Process. Syst. Chun-Chieh Yang, Shao-Chung Wang, Min-Yih Hsu, Yuan-Ming Chang, Yuan-Shin Hwang, Jenq-Kuen Lee
2018	J	`jnl`	Architecture and Compiler Support for GPUs Using Energy-Efficient Affine Register Files. ACM Trans. Design Autom. Electr. Syst. Shao-Chung Wang, Li-Chen Kan, Chao-Lin Lee, Yuan-Shin Hwang, Jenq-Kuen Lee
2018	—	`conf`	Enable the Flow for GPGPU-Sim Simulators with Fixed-Point Instructions. ICPP Workshops Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Jenq-Kuen Lee
2018	—	`conf`	Graph Support and Scheduling for OpenCL on Heterogeneous Multi-core Systems. ICPP Workshops Shih-Huan Chien, Yuan-Ming Chang, Chun-Chieh Yang, Yuan-Shin Hwang, Jenq-Kuen Lee
2018	—	`conf`	Scheduling Methods to Optimize Dependent Programs for GPU Architecture. ICPP Workshops Wei-Cheng Liao, Yuan-Ming Chang, Shao-Chung Wang, Chun-Chieh Yang, Jenq-Kuen Lee, Yuan-Shin Hwang
2018	—	`conf`	ViennaCL++: Enable TensorFlow/Eigen via ViennaCL with OpenCL C++ Flow. IWOCL Tai-Liang Chen, Shih-Huan Chien, Jenq-Kuen Lee
2017	J	`jnl`	Enabling PoCL-based runtime frameworks on the HSA for OpenCL 2.0 support. J. Syst. Archit. Yuan-Ming Chang, Shao-Chung Wang, Chun-Chieh Yang, Yuan-Shin Hwang, Jenq-Kuen Lee
2017	—	`conf`	OpenCL 2.0 Compiler Adaptation on LLVM for PTX Simulators. ICPP Workshops Chun-Chieh Yang, Shao-Chung Wang, Min-Yih Hsu, Yuan-Ming Chang, Yuan-Shin Hwang, Jenq-Kuen Lee
2016	J	`jnl`	Translating the ARM Neon and VFP instructions in a binary translator. Softw. Pract. Exp. Yu-Chuan Guo, Wuu Yang, Jiunn-Yeu Chen, Jenq-Kuen Lee
2014	B	`conf`	On the and-or-scheduling problems. ICPADS Wuu Yang, Ming-Hsiang Huang, Jenq-Kuen Lee
2011	—	`conf`	Innovative system and application curriculum on multicore systems. WESE Pangfeng Liu, Greg C. Lee, Jenq-Kuen Lee, Cheng-Yen Lin