A 5.61 pJ, 16 kb 9T SRAM with single-ended equalized bitlines and fast local write-back for cell stability improvement. - Qi Li; Bo Wang 020; Tony T. Kim (ESSDERC, 2012)

High energy efficient ultra-low voltage SRAM design: Device, circuit, and architecture. - Tony T. Kim; Bo Wang 020; Anh-Tuan Do (ISOCC, 2012)

A 0.4V 7T SRAM with write through virtual ground and ultra-fine grain power gating switches. - Yuan Lin Yeoh; Bo Wang 020; Xiangyao Yu; Tony T. Kim (ISCAS, 2013)

0.2 V 8T SRAM with improved bitline sensing using column-based data randomization. - Anh-Tuan Do; Zhao Chuan Lee; Bo Wang 020; Ik-Joon Chang; Tony Tae-Hyoung Kim (A-SSCC, 2014)

A 457 nW Near-Threshold Cognitive Multi-Functional ECG Processor for Long-Term Cardiac Monitoring. - Xin Liu 015; Jun Zhou 017; Yongkui Yang; Bo Wang 020; Jingjing Lan; Chao Wang 016; Jianwen Luo; Wang Ling Goh; Tony Tae-Hyoung Kim; Minkyu Je (IEEE J. Solid State Circuits, 2014)

SRAM devices and circuits optimization toward energy efficiency in multi-Vth CMOS. - Bo Wang 020; Jun Zhou 017; Tony Tae-Hyoung Kim (Microelectron. J., 2015)

An Ultralow-Voltage Sensor Node Processor With Diverse Hardware Acceleration and Cognitive Sampling for Intelligent Sensing. - Xin Liu 015; Jun Zhou 017; Chao Wang 016; Kah-Hyong Chang; Jianwen Luo; Jingjing Lan; Lei Liao; Yat-Hei Lam; Yongkui Yang; Bo Wang 020; Xin Zhang 025; Wang Ling Goh; et al. (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Design of an Ultra-low Voltage 9T SRAM With Equalized Bitline Leakage and CAM-Assisted Energy Efficiency Improvement. - Bo Wang 020; Truc Quynh Nguyen; Anh-Tuan Do; Jun Zhou 017; Minkyu Je; Tony Tae-Hyoung Kim (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

0.2 V 8T SRAM With PVT-Aware Bitline Sensing and Column-Based Data Randomization. - Anh-Tuan Do; Zhao Chuan Lee; Bo Wang 020; Ik-Joon Chang; Xin Liu 015; Tony Tae-Hyoung Kim (IEEE J. Solid State Circuits, 2016)

Read Bitline Sensing and Fast Local Write-Back Techniques in Hierarchical Bitline Architecture for Ultralow-Voltage SRAMs. - Bo Wang 020; Qi Li; Tony Tae-Hyoung Kim (IEEE Trans. Very Large Scale Integr. Syst., 2016)

A 0.4 V 12T 2RW dual-port SRAM with suppressed common-row-access disturbance. - Bo Wang 020; Jun Zhou 017; Tony Tae-Hyoung Kim (Microelectron. J., 2017)

HyCUBE: A 0.9V 26.4 MOPS/mW, 290 pJ/op, Power Efficient Accelerator for IoT Applications. - Bo Wang 020; Manupa Karunarathne; Aditi Kulkarni Mohite; Tulika Mitra; Li-Shiuan Peh (A-SSCC, 2019)

pH Watch - Leveraging Pulse Oximeters in Existing Wearables for Reusable, Real-time Monitoring of pH in Sweat. - Ananta Narayanan Balaji; Chen Yuan 005; Bo Wang 020; Li-Shiuan Peh; Huilin Shao (MobiSys, 2019)

A Power-Efficient Programmable DCNN Processor for Intelligent Sensing. - Bo Wang 020; Jiayan Gan; Yuxiang Xie; Yin Wang; Zhuoling Xiao; Jun Zhou 017 (SoCC, 2019)

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. - Bo Wang 020; Jun Zhou 014; Weng-Fai Wong; Li-Shiuan Peh (DATE, 2020)

REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables. - Mohit Upadhyay; Rohan Juneja; Bo Wang 020; Jun Zhou 014; Weng-Fai Wong; Li-Shiuan Peh (DAC, 2022)

Network-on-Chip-Centric Accelerator Architectures for Edge AI Computing. - Bo Wang 020; Ke Dong; Nurul Akhira Binte Zakaria; Mohit Upadhyay; Weng-Fai Wong; Li-Shiuan Peh (ISOCC, 2022)

Object-of-Interest Perception in a Reconfigurable Rolling-Crawling Robot. - Archana Semwal; Lee Ming Jun Melvin; Daniela Sanchez; Sui Leng Teo; Bo Wang 020; Rajesh Elara Mohan (Sensors, 2022)

An 8-Bit in Resistive Memory Computing Core With Regulated Passive Neuron and Bitline Weight Mapping. - Yewei Zhang; Kejie Huang; Rui Xiao; Bo Wang 020; Yanfeng Xu; Jicong Fan 002; Haibin Shen (IEEE Trans. Very Large Scale Integr. Syst., 2022)

SESOMP: A Scalable and Energy-Efficient Self-Organizing Map Processor with Computing-In-Memory and Dead Neuron Pruning. - Yuncheng Lu; Xin Zhang 025; Zehao Li; Bo Wang 020; Tony Tae-Hyoung Kim (A-SSCC, 2023)

1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing. - Bo Wang 020; Ming Ming Wong; Dongrui Li; Yi Sheng Chong; Jun Zhou 014; Weng-Fai Wong; Li-Shiuan Peh; Aarthy Mani; Mohit Upadhyay; Ananta Narayanan Balaji; Anh Tuan Do (ISCAS, 2023)

LAXOR: A Bit-Accurate BNN Accelerator with Latch-XOR Logic for Local Computing. - Dongrui Li; Tomomasa Yamasaki; Aarthy Mani; Anh Tuan Do; Niangjun Chen; Bo Wang 020 (ISLPED, 2023)

A Digital Bit-Reconfigurable Versatile Compute-In-Memory Macro for Machine Learning Acceleration. - Xin Zhang 025; Yuncheng Lu; Bo Wang 020; Tony Tae-Hyoung Kim (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Low-Power In-Memory Multiplication and Accumulation Array With Modified Radix-4 Input and Canonical Signed Digit Weights. - Rui Xiao; Yewei Zhang; Bo Wang 020; Yanfeng Xu; Jicong Fan 002; Haibin Shen; Kejie Huang (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Tetris-SDK: Efficient Convolution Layer Mapping with Adaptive Windows for Fast In Memory Computing. - Ke Dong; Kejie Huang; Bo Wang 020 (ISCAS, 2024)

1.63 pJ/SOP Neuromorphic Processor With Integrated Partial Sum Routers for In-Network Computing. - Dongrui Li; Ming Ming Wong; Yi Sheng Chong; Jun Zhou 014; Mohit Upadhyay; Ananta Narayanan Balaji; Aarthy Mani; Weng-Fai Wong; Li-Shiuan Peh; Anh Tuan Do; Bo Wang 020 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

A 23.5 TOPS/W Depthwise Separable Convolution Accelerator for Event-based Depth Estimation. - Andres Brito; Tomomasa Yamasaki; Ulysse Rançon; Timothée Masquelier; Benoit R. Cottereau; Anh Tuan Do; Bo Wang 020 (ISCAS, 2025)

SESOMP: A Scalable and Energy-Efficient Self-Organizing Map Processor for IoT Devices. - Yuncheng Lu; Xin Zhang 025; Bo Wang 020; Tony Tae-Hyoung Kim (IEEE J. Solid State Circuits, 2025)

RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection. - Tomomasa Yamasaki; Zhehui Wang; Tao Luo 014; Niangjun Chen; Bo Wang 020 (IEEE Trans. Neural Networks Learn. Syst., 2025)