Maolin Wang, Ian McInerney, Bartolomeo Stellato, Stephen Boyd, and Hayden So, “RSQP: Problem-Specific Architectural Customization for Accelerated Convex Quadratic Optimization”, in 2023 ACM/IEEE 50th Annual International Symposium on Computer Architecture (ISCA), 2023
Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, and Hayden So, “Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-integer Geometric Programming”, in 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023
Maolin Wang, Seyedramin Rasoulinezhad, Philip Leong, and Hayden So, “NITI: Training Integer Neural Networks Using Integer-only Arithmetic”, in IEEE Transactions on Parallel and Distributed Systems, 2022
Maolin Wang, Kelvin Lee, Bob Chung, Sharatchandra Bogaraju, Ho-Cheung Ng, Justin Wong, Ho Shum, Kevin Tsia, and Hayden So, “Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network”, in IEEE Transactions on Neural Networks and Learning Systems, 2021
Kelvin Lee, Maolin Wang, Kathryn Cheah, Godfrey Chan, Hayden So, Kenneth Wong, and Kevin Tsia, “Quantitative Phase Imaging Flow Cytometry for Ultra-large-scale Single-cell Biophysical Phenotyping”, in Cytometry Part A, 2019
Kelvin Lee, Andy Lau, Anson Tang, Maolin Wang, Aaron Mok, Bob Chung, Wenwei Yan, Ho Shum, Kathryn Cheah, and Godfrey Chan, “Multi-ATOM: Ultrahigh-throughput Single-cell Quantitative Phase Imaging with Subcellular Resolution”, in Journal of biophotonics, 2019
Justin Wong, Runbin Shi, Maolin Wang, and Hayden So, “Ultra-low Latency Continuous Block-parallel Stream Windowing using FPGA On-chip Memory”, in International Conference on Field Programmable Technology (ICFPT), 2017
Sam Ho, C-H Hung, Ho-Cheung Ng, Maolin Wang, and Hayden So, “A Parameterizable Activation Function Generator for FPGA-Based Neural Network Applications”, in IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2017
Maolin Wang, Ho-Cheung Ng, Bob Chung, B Varma, Manish Jaiswal, Kevin Tsia, Ho Shum, and Hayden So, “Real-time Object Detection and Classification for High-speed Asymmetric-detection Time-stretch Optical Microscopy on FPGA”, in International Conference on Field-Programmable Technology (FPT), 2016
Ho-Cheung Ng, Maolin Wang, Bob Chung, B Varma, Manish Jaiswal, Sam Ho, Kevin Tsia, Ho Shum, and Hayden So, “High-throughput Cellular Imaging with High-speed Asymmetric-detection Time-stretch Optical Microscopy under FPGA Platform”, in International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2016
Sam Ho, Maolin Wang, Ho-Cheung Ng, and Hayden So, “Towards FPGA-assisted Spark: An SVM Training Acceleration Case Study”, in International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2016
Bob Chung, Ho-Cheung Ng, Maolin Wang, Sharat Bogaraju, Anderson Shum, Hayden So, and Kevin Tsia, “High-throughput Microparticle Screening by 1-$mu$m Time-stretch Optofluidic Imaging Integrated with a Field-programmable Gate Array Platform”, in CLEO: Science and Innovations, 2016