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Journal Articles
- 2023
[j2]Mingshuo Liu
, Miao Yin, Kevin Han, Ronald F. DeMara, Bo Yuan, Yu Bai:
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train. Internet Things 22: 100680 (2023)- [j1]Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder:
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling. Nat. Mac. Intell. 5(9): 1031-1041 (2023)
Conference and Workshop Papers
- 2023
- [c5]Kevin Han, Shuangning Li, Jialiang Mao, Han Wu:
Detecting Interference in Online Controlled Experiments with Increasing Allocation. KDD 2023: 661-672 - [c4]Georgiana Haldeman, Emma Pizer, Mathelide Hou, Matthew Rojas, Kevin Han, Ahmed Kamran:
RAVIC: Runtime Analysis Visualizer for Introductory Courses. SIGCSE (2) 2023: 1391 - 2022
- [c3]Xiaotian Ma, Kevin Han, Yucheng Yang, Ronald F. DeMara, Yu Bai:
Hardware Oriented Strip-wise Optimization (HOSO) Framework for Efficient Deep Neural Network. SOCC 2022: 1-6 - 2021
- [c2]Mingshuo Liu, Shiyi Luo, Kevin Han, Bo Yuan, Ronald F. DeMara, Yu Bai:
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design. ASAP 2021: 77-84 - [c1]Mingshuo Liu, Kevin Han, Shiyi Luo, Mingze Pan, Mousam Hossain, Bo Yuan, Ronald F. DeMara, Yu Bai:
An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset. ACM Great Lakes Symposium on VLSI 2021: 391-396
Informal and Other Publications
- 2024
- [i3]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:
Pegasus-v1 Technical Report. CoRR abs/2404.14687 (2024) - [i2]Mingshuo Liu, Shiyi Luo, Kevin Han, Bo Yuan, Ronald F. DeMara, Yu Bai:
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design. CoRR abs/2408.01534 (2024) - 2023
- [i1]Bowen Deng, Peichen Zhong, KyuJung Jun, Kevin Han, Christopher J. Bartel, Gerbrand Ceder:
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling. CoRR abs/2302.14231 (2023)
Coauthor Index
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