An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design. - Mingshuo Liu; Shiyi Luo; Kevin Han; Bo Yuan 001; Ronald F. DeMara; Yu Bai 004 (ASAP, 2021)

An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset. - Mingshuo Liu; Kevin Han; Shiyi Luo; Mingze Pan; Mousam Hossain; Bo Yuan 001; Ronald F. DeMara; Yu Bai 004 (ACM Great Lakes Symposium on VLSI, 2021)

Hardware Oriented Strip-wise Optimization (HOSO) Framework for Efficient Deep Neural Network. - Xiaotian Ma; Kevin Han; Yucheng Yang; Ronald F. DeMara; Yu Bai 004 (SOCC, 2022)

Detecting Interference in Online Controlled Experiments with Increasing Allocation. - Kevin Han; Shuangning Li; Jialiang Mao; Han Wu (KDD, 2023)

RAVIC: Runtime Analysis Visualizer for Introductory Courses. - Georgiana Haldeman; Emma Pizer; Mathelide Hou; Matthew Rojas; Kevin Han; Ahmed Kamran (SIGCSE (2), 2023)

CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling. - Bowen Deng; Peichen Zhong; KyuJung Jun; Kevin Han; Christopher J. Bartel; Gerbrand Ceder (CoRR, 2023)

Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train. - Mingshuo Liu; Miao Yin; Kevin Han; Ronald F. DeMara; Bo Yuan 001; Yu Bai 004 (Internet Things, 2023)

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling. - Bowen Deng; Peichen Zhong; KyuJung Jun; Janosh Riebesell; Kevin Han; Christopher J. Bartel; Gerbrand Ceder (Nat. Mac. Intell., 2023)

Pegasus-v1 Technical Report. - Raehyuk Jung; Hyojun Go; Jaehyuk Yi; Jiho Jang; Daniel Kim; Jay Suh; Aiden Seung Joon Lee; Cooper Han; Jae Lee; Jeff Kim; Jin-Young Kim; Junwan Kim; et al. (CoRR, 2024)

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection. - Joshua Lee; Wyatt Fong; Alexander Le; Sur Shah; Kevin Han; Kevin Zhu (COLING Workshops, 2025)

Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs. - Vincent Li; Yule Fu; Tim Knappe; Kevin Han; Kevin Zhu (CoRR, 2025)

A vision-based weigh-in-motion approach for vehicle load tracking and identification. - Phat Tai Lam; Jaehyuk Lee; Yunwoo Lee; Xuan Tinh Nguyen; Van Vy; Kevin Han; Hyungchul Yoon (Comput. Aided Civ. Infrastructure Eng., 2025)

Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving. - Mi Zheng; Guanglei Yang; Zitong Huang; Zhenhua Guo 001; Kevin Han; Wangmeng Zuo (CoRR, 2025)

DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials. - Kevin Han; Bowen Deng; Amir Barati Farimani; Gerbrand Ceder (CoRR, 2025)