Unleash the parallelism of 3DIC partitioning on GPGPU. - Hsien-Kai Kuo; Bo-Cheng Charles Lai; Jing-Yang Jou (SoCC, 2010)

A highly parallel design for irregular LDPC decoding on GPGPUs. - Tsou-Han Chiu; Hsien-Kai Kuo; Bo-Cheng Charles Lai (APSIPA, 2012)

Thread affinity mapping for irregular data access on shared Cache GPGPU. - Hsien-Kai Kuo; Kuan-Ting Chen; Bo-Cheng Charles Lai; Jing-Yang Jou (ASP-DAC, 2012)

Cache Capacity Aware Thread Scheduling for Irregular Memory Access on many-core GPGPUs. - Hsien-Kai Kuo; Ta-Kan Yen; Bo-Cheng Charles Lai; Jing-Yang Jou (ASP-DAC, 2013)

A Locality-Aware Dynamic Thread Scheduler for GPGPUs. - Yu-Hao Huang; Ying-Yu Tseng; Hsien-Kai Kuo; Ta-Kan Yen; Bo-Cheng Charles Lai (PDCAT, 2013)

Memory capacity aware non-blocking data transfer on GPGPU. - Hao-Wei Liu; Hsien-Kai Kuo; Kuan-Ting Chen; Bo-Cheng Charles Lai (SiPS, 2013)

A distributed thread scheduler for dynamic multithreading on throughput processors. - Ta-Kan Yen; Hsien-Kai Kuo; Bo-Cheng Charles Lai (VLSI-DAT, 2013)

A read-write aware DRAM scheduling for power reduction in multi-core systems. - Chih-Yen Lai; Gung-Yu Pan; Hsien-Kai Kuo; Jing-Yang Jou (ASP-DAC, 2014)

Reducing Contention in Shared Last-Level Cache for Throughput Processors. - Hsien-Kai Kuo; Bo-Cheng Charles Lai; Jing-Yang Jou (ACM Trans. Design Autom. Electr. Syst., 2014)

A Cache Hierarchy Aware Thread Mapping Methodology for GPGPUs. - Bo-Cheng Charles Lai; Hsien-Kai Kuo; Jing-Yang Jou (IEEE Trans. Computers, 2015)

Enhancing Data Reuse in Cache Contention Aware Thread Scheduling on GPGPU. - Chin-Fu Lu; Hsien-Kai Kuo; Bo-Cheng Charles Lai (CISIS, 2016)

A Quantitative Method to Data Reuse Patterns of SIMT Applications. - Bo-Cheng Charles Lai; Luis Garrido Platero; Hsien-Kai Kuo (IEEE Comput. Archit. Lett., 2016)

Unified Designs for High Performance LDPC Decoding on GPGPU. - Bo-Cheng Charles Lai; Chia-Ying Lee; Tsou-Han Chiu; Hsien-Kai Kuo; Chun-Kai Chang (IEEE Trans. Computers, 2016)

Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency. - Cheng-Ming Chiang; Yu Tseng; Yu-Syuan Xu; Hsien-Kai Kuo; Yi-Min Tsai; Guan-Yu Chen; Koan-Sin Tan; Wei-Ting Wang; Yu-Chieh Lin 001; Shou-Yao Roy Tseng; Wei-Shiang Lin; Chia-Lin Yu; et al. (CVPR Workshops, 2020)

Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations. - Yu-Syuan Xu; Shou-Yao Roy Tseng; Yu Tseng; Hsien-Kai Kuo; Yi-Min Tsai (CVPR, 2020)

Network Space Search for Pareto-Efficient Spaces. - Min-Fong Hong; Hao-Yun Chen; Min-Hung Chen; Yu-Syuan Xu; Hsien-Kai Kuo; Yi-Min Tsai; Hung-Jen Chen 004; Kevin Jou (CVPR Workshops, 2021)

Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte (CVPR Workshops, 2021)

Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation. - Po-Yu Chen; Hao Chen; Yi-Min Tsai; Hsien-Kai Kuo; Hantao Huang; Hsin-Hung Chen; Sheng-Hong Yan; Wei-Lun Ou; Chia-Ming Cheng (ICC, 2021)

Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. - Yu-Shu Ni; Chia-Chi Tsai; Jiun-In Guo; Jenq-Neng Hwang; Bo-Xun Wu; Po-Chi Hu; Ted T. Kuo; Po-Yu Chen; Hsien-Kai Kuo (ICMR, 2021)

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte; Min-Hung Chen; Man-Yu Lee; Yu-Syuan Xu; Yu Tseng; Shusong Xu; Jin Guo; Chao-Hung Chen; et al. (CoRR, 2021)

Radar and Camera Fusion for Vacant Parking Space Detection. - Bo-Xun Wu; Jia-Jheng Lin; Hsien-Kai Kuo; Po-Yu Chen; Jiun-In Guo (AICAS, 2022)

Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. - Hitika Tiwari; Min-Hung Chen; Yi-Min Tsai; Hsien-Kai Kuo; Hung-Jen Chen 004; Kevin Jou; K. S. Venkatesh; Yong-Sheng Chen (BMVC, 2022)

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. - Andrey Ignatov; Anastasia Sycheva; Radu Timofte; Yu Tseng; Yu-Syuan Xu; Po-Hsiang Yu; Cheng-Ming Chiang; Hsien-Kai Kuo; Min-Hung Chen; Chia-Ming Cheng; Luc Van Gool (ECCV Workshops (2), 2022)

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Cheng-Ming Chiang; Hsien-Kai Kuo; Yu-Syuan Xu; Man-Yu Lee; Allen Lu; Chia-Ming Cheng; Chih-Cheng Chen; Jia-Ying Yong; Hong-Han Shuai; Wen-Huang Cheng; et al. (ECCV Workshops (3), 2022)

Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries. - Yu-Shu Ni; Chia-Chi Tsai; Chih-Cheng Chen; Po-Yu Chen; Hsien-Kai Kuo; Man-Yu Lee; Kuo Chin-Chuan; Zhe-Ln Hu; Po-Chi Hu; Ted T. Kuo; Jenq-Neng Hwang; Jiun-In Guo (ICME Workshops, 2022)

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Yu Tseng; Yu-Syuan Xu; Po-Hsiang Yu; Cheng-Ming Chiang; Hsien-Kai Kuo; Min-Hung Chen; Chia-Ming Cheng; Luc Van Gool (ICPR, 2022)

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution. - Hao-Wei Chen; Yu-Syuan Xu; Min-Fong Hong; Yi-Min Tsai; Hsien-Kai Kuo; Chun-Yi Lee (CVPR, 2023)

Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries. - Yu-Shu Ni; Chia-Chi Tsai; Chih-Cheng Chen; Hsien-Kai Kuo; Po-Yu Chen; Po-Chi Hu; Ted T. Kuo; Jenq-Neng Hwang; Jiun-In Guo (ICME Workshops, 2023)

Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems. - Yu-Shu Ni; Han-Chun Chen; Chia-Chi Tsai; Chih-Cheng Chen; Po-Yu Chen; Hsien-Kai Kuo; Jun-Ying Hunag; Po-Chi Hu; Jenq-Neng Hwang; Jiun-In Guo (ICME Workshops, 2024)

AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters. - Hao-Wei Chen; Yu-Syuan Xu; Kelvin C. K. Chan; Hsien-Kai Kuo; Chun-Yi Lee; Ming-Hsuan Yang 001 (CoRR, 2024)

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration. - Yu-Cheng Lin; Yu-Syuan Xu; Hao-Wei Chen; Hsien-Kai Kuo; Chun-Yi Lee (CoRR, 2025)