Chunyou Su, Linfeng Du, Tingyuan Liang, Zhe Lin, Maolin Wang, Sharad Sinha, and Wei Zhang, “GraFlex: Flexible Graph Processing on FPGAs through Customized Scalable Interconnection Network”, in Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

Maolin Wang, Ian McInerney, Bartolomeo Stellato, Fengbin Tu, Stephen Boyd, Hayden Kwok-Hay So, and Kwang-Ting Cheng, “Multi-Issue Butterfly Architecture for Sparse Convex Quadratic Programming”, in 2024 ACM/IEEE 50th Annual International Symposium on Microarchitecture (MICRO), 2024 🔗 Code

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 🔗 Paper Code

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 🔗 Paper Code

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 🔗 Paper

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