H. T. Kung
Harvard University
H-index: 82
North America-United States
Top articles of H. T. Kung
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
DeepMachining: Online Prediction of Machining Errors of Lathe Machines | arXiv preprint arXiv:2403.16451 | Xiang-Li Lu Hwai-Jung Hsu Che-Wei Chou HT Kung Chen-Hsin Lee | 2024/3/25 |
Public Health Implications for Effective Community Interventions Based on Hospital Patient Data Analysis Using Deep Learning Technology in Indonesia | Information | Lenni Dianna Putri Ermi Girsang I Nyoman Ehrich Lister Hsiang Tsung Kung Evizal Abdul Kadir | 2024/1/11 |
StitchNet: Composing Neural Networks from Pre-Trained Fragments | Surat Teerapittayanon Marcus Comiter Bradley McDanel HT Kung | 2023/12/15 | |
Wildfire Hotspots Forecasting and Mapping for Environmental Monitoring Based on the Long Short-Term Memory Networks Deep Learning Algorithm | Environments | Evizal Abdul Kadir Hsiang Tsung Kung Amal Abdullah AlMansour Hitoshi Irie Sri Listia Rosa | 2023/7/18 |
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels | arXiv preprint arXiv:2307.03930 | Vikas Natesh Andrew Sabot HT Kung Mark Ting | 2023/7/8 |
Fires Hotspot Forecasting in Indonesia Using Long Short-Term Memory Algorithm and MODIS Datasets | Evizal Abdul Kadir Hsiang Tsung Kung Arbi Haza Nasution Hanita Daud Amal Abdullah AlMansour | 2023/5/31 | |
MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers | arXiv preprint arXiv:2304.05544 | Andrew Sabot Vikas Natesh HT Kung Wei-Te Ting | 2023/4/12 |
Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems | Xin Dong Barbara De Salvo Meng Li Chiao Liu Zhongnan Qu | 2022 | |
A Bit-level Sparsity-aware SAR ADC with Activity-scaling for AIoT Applications | Ruicong Chen HT Kung Anantha Chandrakasan Hae-Seung Lee | 2022/8/1 | |
A Bit-level Sparsity-aware SAR ADC with Direct Hybrid Encoding for Signed Expressions for AIoT Applications | Ruicong Chen HT Kung Anantha Chandrakasan Hae-Seung Lee | 2022/8/1 | |
Forecasting of fires hotspot in tropical region using LSTM algorithm based on satellite data | Evizal Abdul Kadir Hsiang Tsung Kung Sri Listia Rosa Andrew Sabot Mahmod Othman | 2022/7/1 | |
Fast: Dnn training under variable precision block floating point with stochastic rounding | Sai Qian Zhang Bradley McDanel HT Kung | 2022/4/2 | |
Neural mean discrepancy for efficient out-of-distribution detection | Xin Dong Junfeng Guo Ang Li Wei-Te Ting Cong Liu | 2022 | |
Spherefed: Hyperspherical federated learning | Xin Dong Sai Qian Zhang Ang Li HT Kung | 2022/10/23 | |
Training for multi-resolution inference using reusable quantization terms | Sai Qian Zhang Bradley McDanel HT Kung Xin Dong | 2021/4/19 | |
High-order-bit First Conversion for Signed-Digit Representations | HT Kung | 2021/3 | |
Cake: matrix multiplication using constant-bandwidth blocks | HT Kung Vikas Natesh Andrew Sabot | 2021/11/14 | |
A novel training strategy for deep learning model compression applied to viral classifications | Marcelo AC Fernandes HT Kung | 2021/7/18 | |
Privacy vulnerability of split computing to data-free model inversion attacks | X Dong HX Yin J M. Alvarez J Kautz P Molchanov | 2022 | |
Saturation rram leveraging bit-level sparsity resulting from term quantization | Bradley McDanel HT Kung Sai Qian Zhang | 2021/5/22 |
Co-Authors
