Energy-optimal dynamic thermal management for green computing. - Donghwa Shin; Jihun Kim; Naehyuck Chang; Jinhang Choi; Sung Woo Chung; Eui-Young Chung (ICCAD, 2009)

Exploiting application-dependent ambient temperature for accurate architectural simulation. - Hyung Beom Jang; Jinhang Choi; Ikroh Yoon; Sung-Soo Lim; Seungwon Shin 002; Naehyuck Chang; Sung Woo Chung (ICCD, 2010)

Exploiting Application/System-Dependent Ambient Temperature for Accurate Microarchitectural Simulation. - Hyung Beom Jang; Jinhang Choi; Ikroh Yoon; Sung-Soo Lim; Seungwon Shin 002; Naehyuck Chang; Sung Woo Chung (IEEE Trans. Computers, 2013)

Co-training of Feature Extraction and Classification using Partitioned Convolutional Neural Networks. - Wei-Yu Tsai; Jinhang Choi; Tulika Parija; Priyanka Gomatam; Chita R. Das; John Sampson; Vijaykrishnan Narayanan (DAC, 2017)

Heuristic Approximation of Early-Stage CNN Data Representation for Vision Intelligence Systems. - Jinhang Choi; Jack Sampson; Vijaykrishnan Narayanan (ICCD, 2018)

Drones as collaborative sensors for image recognition. - Peter A. Zientara; Jinhang Choi; Jack Sampson; Vijaykrishnan Narayanan (ICCE, 2018)

Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation. - Jinhang Choi; Kevin M. Irick; Justin Hardin; Weichao Qiu; Alan L. Yuille; Jack Sampson; Vijaykrishnan Narayanan (ISCAS, 2018)

A Power-Efficient Hybrid Architecture Design for Image Recognition Using CNNs. - Jinhang Choi; Srivatsa Rangachar Srinivasa; Yasuki Tanabe; Jack Sampson; Vijaykrishnan Narayanan (ISVLSI, 2018)

Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing. - Jinhang Choi; Zeinab Hakimi; Philip Wootaek Shin; Jack Sampson; Vijaykrishnan Narayanan (DAC, 2019)

Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities. - Jinhang Choi; Zeinab Hakimi; John Sampson; Vijaykrishnan Narayanan (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)