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H. T. Kung
Full Professor, John A. Paulson School of Engineering and Applied Sciences, Harvard University
Joined
July 2019
Names
H. T. Kung
(Preferred)
,
H. Kung
Emails
****@harvard.edu
(Confirmed)
,
****@g.harvard.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Full Professor
John A. Paulson School of Engineering and Applied Sciences,
Harvard University
(harvard.edu)
1992
–
Present
Advisors, Relations & Conflicts
Coworker
Kao Den Chang
2022
–
Present
PhD Advisee
Eric Dong
2022
–
Present
PhD Advisee
He-Yen Hsieh
2022
–
Present
Coauthor
Ziyun Li
2022
–
Present
Coauthor
Barbara De Salvo
2022
–
Present
PhD Advisee
Matheus Farias
2021
–
Present
PhD Advisee
Mark Ting
2020
–
Present
Coauthor
Marcelo Fernandes
2019
–
Present
Coauthor
Wen Tai
2019
–
Present
PhD Advisee
Vikas Natesh
2018
–
Present
PhD Advisee
Andrew Sabot
2018
–
Present
PhD Advisee
Xin Dong
2018
–
Present
Social
Sean Lee
2017
–
Present
PhD Advisee
Sai Zhang
2016
–
Present
PhD Advisee
Hsieh-Chung Chen
2016
–
Present
PhD Advisee
Miriam Cha
2014
–
Present
PhD Advisee
Philippe Tillet
2014
–
Present
PhD Advisee
Marcus Comiter
2013
–
Present
PhD Advisee
Brad McDanel
2013
–
Present
PhD Advisee
Surat Teerapittayanon
2012
–
Present
PhD Advisee
Youngjune Gwon
2010
–
Present
PhD Advisee
Steve Tarsa
2008
–
Present
PhD Advisee
Tsung-Han Lin
2008
–
Present
PhD Advisee
I-Chen Wu
1984
–
Present
Expertise
Quantization
2020
–
Present
Model pruning
2020
–
Present
AI accelerators
2018
–
Present
Computer Science
1973
–
Present
Publications
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
Xin Dong
,
Junfeng Guo
,
Ang Li
,
Wei-Te Ting
,
Cong Liu
,
H. T. Kung
2022 (modified: 23 Nov 2022)
CVPR 2022
Readers:
Everyone
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding
Sai Qian Zhang
,
Bradley McDanel
,
H. T. Kung
2022 (modified: 23 Nov 2022)
HPCA 2022
Readers:
Everyone
SphereFed: Hyperspherical Federated Learning
Xin Dong
,
Sai Qian Zhang
,
Ang Li
,
H. T. Kung
2022 (modified: 23 Nov 2022)
ECCV (26) 2022
Readers:
Everyone
A Bit-level Sparsity-aware SAR ADC with Direct Hybrid Encoding for Signed Expressions for AIoT Applications
Ruicong Chen
,
H. T. Kung
,
Anantha P. Chandrakasan
,
Hae-Seung Lee
2022 (modified: 23 Nov 2022)
ISLPED 2022
Readers:
Everyone
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
Xin Dong
,
Barbara De Salvo
,
Meng Li
,
Chiao Liu
,
Zhongnan Qu
,
H. T. Kung
,
Ziyun Li
2022 (modified: 23 Nov 2022)
CVPR 2022
Readers:
Everyone
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
Xin Dong
,
Barbara De Salvo
,
Meng Li
,
Chiao Liu
,
Zhongnan Qu
,
H. T. Kung
,
Ziyun Li
2022 (modified: 23 Nov 2022)
CoRR 2022
Readers:
Everyone
SphereFed: Hyperspherical Federated Learning
Xin Dong
,
Sai Qian Zhang
,
Ang Li
,
H. T. Kung
2022 (modified: 23 Nov 2022)
CoRR 2022
Readers:
Everyone
Training for multi-resolution inference using reusable quantization terms
Sai Qian Zhang
,
Bradley McDanel
,
H. T. Kung
,
Xin Dong
2021 (modified: 23 Nov 2022)
ASPLOS 2021
Readers:
Everyone
A Novel Training Strategy for Deep Learning Model Compression Applied to Viral Classifications
Marcelo A. C. Fernandes
,
H. T. Kung
2021 (modified: 23 Nov 2022)
IJCNN 2021
Readers:
Everyone
Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization
Bradley McDanel
,
Sai Qian Zhang
,
H. T. Kung
2021 (modified: 23 Nov 2022)
ISCAS 2021
Readers:
Everyone
View all 223 publications
Co-Authors
Adon Hwang
Adrianne Schwarzentruber
Alan Chapman
Albert M. Chan
Allan L. Fisher
Amit P. Kumar
Anantha P. Chandrakasan
Andrew Sabot
Ang Li
Arjun Majumdar
Barbara De Salvo
Bob Kowalski
Brad Karp
Bradley McDanel
Brendon Poland
Brent Baxter
Brian Moore
Brian Zill
Bruce W. Suter
Bruce Wilsey Suter
C. T. Wang
C. Y. Chen
Carl Fossa
Chang-Fu Kuo
Charlie K. Dagli
View all 181 co-authors