An ethernet switch architecture for bandwidth provision of broadband access networks. - Jonghoon Lee; Chul-Ki Lee; Jiho Han; Hanku Chi; Taesik Na; Deog-Kyoon Jeong; Jae-Hwa Kwak; Jin-su Ahn; Sangho Yoon (IEEE Commun. Mag., 2008)

A 1.2V 30nm 3.2Gb/s/pin 4Gb DDR4 SDRAM with dual-error detection and PVT-tolerant data-fetch scheme. - Kyomin Sohn; Taesik Na; Indal Song; Yong Shim; Wonil Bae; Sanghee Kang; Dongsu Lee; Hangyun Jung; Hanki Jeoung; Ki Won Lee; Junsuk Park; Jongeun Lee; et al. (ISSCC, 2012)

A 1.2 V 30 nm 3.2 Gb/s/pin 4 Gb DDR4 SDRAM With Dual-Error Detection and PVT-Tolerant Data-Fetch Scheme. - Kyomin Sohn; Taesik Na; Indal Song; Yong Shim; Wonil Bae; Sanghee Kang; Dongsu Lee; Hangyun Jung; Seok-Hun Hyun; Hanki Jeoung; Ki Won Lee; Jun-Seok Park; et al. (IEEE J. Solid State Circuits, 2013)

An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance. - Jong Hwan Ko; Taesik Na; Saibal Mukhopadhyay (AVSS, 2016)

Behavioral modeling of timing slack variation in digital circuits due to power supply noise. - Taesik Na; Saibal Mukhopadhyay (DATE, 2016)

Speeding up Convolutional Neural Network Training with Dynamic Precision Scaling and Flexible Multiplier-Accumulator. - Taesik Na; Saibal Mukhopadhyay (ISLPED, 2016)

Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation. - Jong Hwan Ko; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (DAC, 2017)

Adaptive weight compression for memory-efficient neural networks. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Jaeha Kung; Saibal Mukhopadhyay (DATE, 2017)

Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (DATE, 2017)

On-chip training of recurrent neural networks with limited numerical precision. - Taesik Na; Jong Hwan Ko; Jaeha Kung; Saibal Mukhopadhyay (IJCNN, 2017)

Energy-efficient neural image processing for Internet-of-Things edge devices. - Jong Hwan Ko; Yun Long; Mohammad Faisal Amir; Duckhwan Kim 001; Jaeha Kung; Taesik Na; Amit Ranjan Trivedi; Saibal Mukhopadhyay (MWSCAS, 2017)

NeuroTrainer: An Intelligent Memory Module for Deep Learning Training. - Duckhwan Kim 001; Taesik Na; Sudhakar Yalamanchili; Saibal Mukhopadhyay (CoRR, 2017)

A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array. - Jong Hwan Ko; Mohammad Faisal Amir; Khondker Zakir Ahmed 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Clock Data Compensation Aware Digital Circuits Design for Voltage Margin Reduction. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. - Jong Hwan Ko; Taesik Na; Mohammad Faisal Amir; Saibal Mukhopadhyay (AVSS, 2018)

A ferroelectric FET based power-efficient architecture for data-intensive computing. - Yun Long; Taesik Na; Prakshi Rastogi; Karthik Rao; Asif Islam Khan; Sudhakar Yalamanchili; Saibal Mukhopadhyay (ICCAD, 2018)

Cascade Adversarial Machine Learning Regularized with a Unified Embedding. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (ICLR (Poster), 2018)

An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. - Jong Hwan Ko; Taesik Na; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks. - Duckhwan Kim 001; Taesik Na; Sudhakar Yalamanchili; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

ReRAM-Based Processing-in-Memory Architecture for Recurrent Neural Network Acceleration. - Yun Long; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Energy efficient, secure and noise robust deep learning for the internet of things. - Taesik Na (2018)

A Spatiotemporal Pre-processing Network for Activity Recognition under Rain. - Minah Lee; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (BMVC, 2019)

A Camera with Brain - Embedding Machine Learning in 3D Sensors. - Burhan Ahmad Mudassar; Priyabrata Saha; Yun Long; Mohammad Faisal Amir; Evan Gebhardt; Taesik Na; Jong Hwan Ko; Marilyn Wolf; Saibal Mukhopadhyay (DATE, 2019)

Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. - Taesik Na; Minah Lee; Burhan Ahmad Mudassar; Priyabrata Saha; Jong Hwan Ko; Saibal Mukhopadhyay (IJCNN, 2019)

A Modular Hybrid LDO with Fast Load-Transient Response and Programmable PSRR in 14nm CMOS Featuring Dynamic Clamp Tuning and Time-Constant Compensation. - Xiaosen Liu; Harish K. Krishnamurthy; Taesik Na; Sheldon Weng; Khondker Zakir Ahmed 001; Krishnan Ravichandran; James W. Tschanz; Vivek De (ISSCC, 2019)

CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. - Burhan Ahmad Mudassar; Priyabrata Saha; Yun Long; Mohammad Faisal Amir; Evan Gebhardt; Taesik Na; Jong Hwan Ko; Marilyn Wolf; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart Sensor. - Minah Lee; Mandovi Mukherjee; Priyabrata Saha; Mohammad Faisal Amir; Taesik Na; Saibal Mukhopadhyay (AICAS, 2020)

WarningNet: A Deep Learning Platform for Early Warning of Task Failures under Input Perturbation for Reliable Autonomous Platforms. - Minah Lee; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (DAC, 2020)

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. - Bita Darvish Rouhani; Daniel Lo; Ritchie Zhao; Ming Liu; Jeremy Fowers; Kalin Ovtcharov; Anna Vinogradsky; Sarah Massengill; Lita Yang; Ray Bittner; Alessandro Forin; Haishan Zhu; et al. (NeurIPS, 2020)

Cross-Layer Noise Analysis in Smart Digital Pixel Sensors With Integrated Deep Neural Network. - Minah Lee; Mandovi Mukherjee; Edward Lee; Priyabrata Saha; Mohammad Faisal Amir; Taesik Na; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

A Universal Modular Hybrid LDO With Fast Load Transient Response and Programmable PSRR in 14-nm CMOS Featuring Dynamic Clamp Strength Tuning. - Xiaosen Liu; Harish K. Krishnamurthy; Taesik Na; Sheldon Weng; Khondker Zakir Ahmed 001; Christopher Schaef; Krishnan Ravichandran; James W. Tschanz; Vivek De (IEEE J. Solid State Circuits, 2021)

An Embedding-Based Grocery Search Model at Instacart. - Yuqing Xie 001; Taesik Na; Xiao Xiao; Saurav Manchanda; Young Rao; Zhihong Xu; Guanghua Shu; Esther Vasiete; Tejaswi Tenneti; Haixun Wang (CoRR, 2022)

Rethinking E-Commerce Search. - Haixun Wang; Taesik Na (SIGIR Forum, 2023)

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. - Xiaochen Wang 002; Xiao Xiao; Ruhan Zhang; Xuan Zhang; Taesik Na; Tejaswi Tenneti; Haixun Wang; Fenglong Ma (KDD, 2024)