Kevin Han

23 papers A* 2Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization.
CoRR
Kevin Han, Yuhang Zhou, Mingze Gao, Gedi Zhou, Serena Li, Abhishek Kumar, Xiangjun Fan, Weiwei Li, Lizhu Zhang
2026 J jnl
Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials.
CoRR
Kevin Han, Haolin Cong, Bowen Deng, Amir Barati Farimani
2026 — conf
TDFlow: Agentic Workflows for Test Driven Development.
EACL (Volume 1: Long Papers)
Kevin Han, Siddharth Maddikayala, Tim Knappe, Om Patel, Austen Liao, Amir Barati Farimani
2025 J jnl
A vision-based weigh-in-motion approach for vehicle load tracking and identification.
Comput. Aided Civ. Infrastructure Eng.
Phat Tai Lam, Jaehyuk Lee, Yunwoo Lee, Xuan Tinh Nguyen, Van Vy, Kevin Han, Hyungchul Yoon
2025 J jnl
Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs.
CoRR
Vincent Li, Yule Fu, Tim Knappe, Kevin Han, Kevin Zhu
2025 J jnl
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials.
CoRR
Kevin Han, Bowen Deng, Amir Barati Farimani, Gerbrand Ceder
2025 J jnl
Dual-reference approach for vision-based structural displacement measurement using time-varying Kalman filter.
Comput. Aided Civ. Infrastructure Eng.
Geonyeol Jeon, Kevin Han, Hyungchul Yoon
2025 — conf
GAS: Large-Scale Heterogeneous Personalization in Social Network Applications at Meta.
KDD (2)
Yihan Wu, Mingze Gao, Haoran Liu, Weiwei Li, Kevin Han, Junfeng Pan, Xinyi Zhang, Jiawei Wen, Gedi Zhou
2025 — conf
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection.
COLING Workshops
Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu
2025 A* conf
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving.
ACM Multimedia
Mi Zheng, Guanglei Yang, Zitong Huang, Zhenhua Guo, Kevin Han, Wangmeng Zuo
2025 J jnl
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving.
CoRR
Mi Zheng, Guanglei Yang, Zitong Huang, Zhenhua Guo, Kevin Han, Wangmeng Zuo
2025 J jnl
TDFlow: Agentic Workflows for Test Driven Software Engineering.
CoRR
Kevin Han, Siddharth Maddikayala, Tim Knappe, Om Patel, Austen Liao, Amir Barati Farimani
2024 J jnl
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design.
CoRR
Mingshuo Liu, Shiyi Luo, Kevin Han, Bo Yuan, Ronald F. DeMara, Yu Bai
2024 J jnl
Pegasus-v1 Technical Report.
CoRR
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, Kyle Park, Lucas Lee, Mars Ha, Minjoon Seo, Abraham Jo, Ed Park, Hassan Kianinejad, Sj Kim, Tony Moon, Wade Jeong, Andrei Popescu, Esther Kim, EK Yoon, Genie Heo, Henry Choi, Jenna Kang, Kevin Han, Noah Seo, Sunny Nguyen, Ryan Won, Yeonhoo Park, Anthony Giuliani, Dave Chung, Hans Yoon, James Le, Jenny Ahn, June Lee, Maninder Saini, Meredith Sanders, Soyoung Lee, Sue Kim, Travis Couture
2024 J jnl
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection.
CoRR
Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu
2023 J jnl
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train.
Internet Things
Mingshuo Liu, Miao Yin, Kevin Han, Ronald F. DeMara, Bo Yuan, Yu Bai
2023 J jnl
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling.
Nat. Mac. Intell.
Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
2023 J jnl
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling.
CoRR
Bowen Deng, Peichen Zhong, KyuJung Jun, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
2023 A* conf
Detecting Interference in Online Controlled Experiments with Increasing Allocation.
KDD
Kevin Han, Shuangning Li, Jialiang Mao, Han Wu
2023 — conf
RAVIC: Runtime Analysis Visualizer for Introductory Courses.
SIGCSE (2)
Georgiana Haldeman, Emma Pizer, Mathelide Hou, Matthew Rojas, Kevin Han, Ahmed Kamran
2022 — conf
Hardware Oriented Strip-wise Optimization (HOSO) Framework for Efficient Deep Neural Network.
SOCC
Xiaotian Ma, Kevin Han, Yucheng Yang, Ronald F. DeMara, Yu Bai
2021 — conf
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design.
ASAP
Mingshuo Liu, Shiyi Luo, Kevin Han, Bo Yuan, Ronald F. DeMara, Yu Bai
2021 — conf
An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset.
ACM Great Lakes Symposium on VLSI
Mingshuo Liu, Kevin Han, Shiyi Luo, Mingze Pan, Mousam Hossain, Bo Yuan, Ronald F. DeMara, Yu Bai