Kevin Han

Orcid: 0000-0002-5424-951X

According to our database1, Kevin Han authored at least 8 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling.
Nat. Mac. Intell., September, 2023

Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train.
Internet Things, July, 2023

CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling.
CoRR, 2023

RAVIC: Runtime Analysis Visualizer for Introductory Courses.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Detecting Interference in Online Controlled Experiments with Increasing Allocation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Hardware Oriented Strip-wise Optimization (HOSO) Framework for Efficient Deep Neural Network.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

2021
An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021


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