An-Chieh Cheng


I’m An-Chieh Cheng (Anjie Cheng ), a graduate student in the Institute of Information Systems and Applications at National Tsing Hua University, Taiwan.

My field of interests lie in the intersection of system and ML, which I’m particularly interested in building systems for machine learning and computer vision. Currently focus on Efficient DNN Model Design, advised by Prof. Min Sun and two Google AI researchers, Dr. Da-Cheng Juan and Dr. Wei-Wei.

See my CV [PDF], last updated Nov. 2019.


  • Our work – InstaNAS is accepted by AAAI’20. See you in NYC
  • One NeurIPS’19 ML for Systems workshop paper accepted.
  • Recieved the NovaTek Scholarship. Big thanks to Novatek Education Foundation!
  • One ICML’19 AutoML Workshop paper accepted.
  • I’m attending SysML’19.
  • 2nd place in PIC Challenge at ECCV’18.
  • One ECCV’18 paper accepted.


Aug 2018 - Present M.S. in Information Systems and Applications (4.1/4.3)
National Tsing Hua University
Aug 2014 - May 2018 B.S. in Computer Science (3.8/4.3)
National Tsing Hua University


May 2019 - Dec 2019 Appier Inc., Research Scientist Intern
Sep 2017 - Present VSLab @ NTHU, Research Assistant
Advisor: Prof. Min Sun
May 2016 - Oct 2017 NMSLab @ NTHU, Research Assistant
Advisor: Prof. ChengHsin Hsu

Selected Publications

Google Scholar Conference Workshop

QoS-aware Neural Architecture Search
A.-C. Cheng, C.-H. Lin, D.-C. Juan, W. Wei, M. Sun
NeurIPS'19 Workshop (ML for Systems)
[abs] [pdf] [website] [code]
InstaNAS: Instance-aware Neural Architecture Search
A.-C. Cheng*, C.-H. Lin*, D.-C. Juan, W. Wei, M. Sun
AAAI'20 ICML'19 Workshop (AutoML)
[abs] [pdf] [website] [code]
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
A.-C. Cheng, J.-D. Dong, C.-H. Hsu, S.-H. Chang, M. Sun, S.-C. Chang, J.-Y. Pan, Y.-T. Chen, W. Wei, D.-C. Juan
[abs] [pdf]
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information
H.-K. Yang, A.-C. Cheng*, K.-W. Ho*, T.-J Fu, C.-Y Lee
ECCV'18 Workshop
[abs] [pdf]
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
J.-D. Dong, A.-C. Cheng, D.-C. Juan, W. Wei, M. Sun
[abs] [pdf]
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures
J.-D. Dong, A.-C. Cheng, D.-C. Juan, W. Wei, M. Sun
ICLR'18 Workshop
[abs] [pdf]
Supporting Internet-of-Things Analytics in a Fog Computing Platform
H. Hong, P. Tsai, A.-C. Cheng, Y. Uddin, N. Venkatasubramanian, and C. Hsu
[abs] [pdf] [website]
Distributed Analytics in Fog Computing Platforms Using Tensorflow and Kubernetesm
P. Tsai, H. Hong, A.-C. Cheng, and C. Hsu
[abs] [pdf] [website]

Teaching Experience

F2018 Computer Vision (NTHU EE 6485), TA

Honors & Awards

2019 NovaTek Scholarship, NovaTek
2018 2nd Place, ECCV 2018 PIC Challenge
2018 Outstanding Student Award, National Tsing-Hua University
2017 First Prize, MeiChu Hackathon / IJoinG Inc.
2016 First Prize, MeiChu Hackathon / Asus Inc.



IEEE J-STSP, ICCV 2019, AAAI 2020, CVPR 2020, ECCV 2020

Program Committee


Last updated on 2020-05-05 . Templated from Brandon Amos.