About Me

Byung Hoon Ahn

Education

Ph.D. in Computer Science. University of California, San Diego
Sep. 2018 – present
Advisor: Prof. Hadi Esmaeilzadeh

M.S. in Computer Science. University of California, San Diego
Sep. 2018 – Jun. 2020
Advisor: Prof. Hadi Esmaeilzadeh

B.Eng. in Electrical Engineering. Korea University
Mar. 2009 – Feb. 2015
Advisor: Prof. Sung-Jea Ko


Honors and Awards

Best Paper Award Nomination. DAC 2022 (2022)
DAC Young Fellow. DAC 2022 (2022)
Outstanding Reviewer Award. ICLR 2021 (2021)
Qualcomm Innovation Fellowship Finalist. Qualcomm (2020)
Korean Government Scholarship for Overseas Studies. NIIED. Ministry of Education (2018-2020)
CSE Department Fellowship. UC San Diego (2018)
Super Rookie Award. Samsung Research (2015)
Teaching Service Scholarship. Korea University (2014)
Semester High Honors. Korea University (3 semesters, 2011-2014)
Honors Scholarship. Korea University (4 semesters, 2009-2014)


Publications

  • Exploring Efficient ML-based Scheduler for Microservices in Heterogeneous Clusters
    Rohan Mahapatra, Byung Hoon Ahn, Shu-Ting Wang, Hanyang Xu, Hadi Esmaeilzadeh
    ISCA Workshop on Machine Learning for Computer Architecture and Systems, 2022
  • Glimpse: Mathematical Embedding of Hardware Specification for Neural Compilation
    Byung Hoon Ahn, Sean Kinzer, Hadi Esmaeilzadeh
    DAC, 2022
    Nominated for the Best Paper Award at DAC 2022
  • Protopia AI: Taking on the Missing Link in AI Privacy and Data Protection
    Byung Hoon Ahn, DoangJoo Synn, Masih Derkani, Eiman Ebrahimi, Hadi Esmaeilzadeh
    NeurIPS Demonstrations, 2021 [paper,link,colab,demo]
  • FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms
    Mohammad Loni, Ali Zoljodi, Amin Majd, Byung Hoon Ahn, Masoud Daneshtalab, Mikael Sjödin, Hadi Esmaeilzadeh
    IEEE SMC, IF=13.45, 2021 [paper]
  • Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks
    Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh
    MICRO, 2020 [paper,video]
  • Compilation and Optimization Techniques for Machine Learning Workloads
    Byung Hoon Ahn
    Ph.D. Research Exam, 2020 [research exam]
  • Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
    Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh
    ICLR, 2020 [paper,video]
  • Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
    Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh
    MLSys, 2020 [paper,slide]
    Featured in Qualcomm’s Invited Talk in EMC² Workshop at NeurIPS 2019 and TinyML Summit 2020
  • Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
    Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh
    ICML Workshop on Reinforcement Learning for Real Life, 2019 [paper]

Work / Research Experience

Industry Experience

Oct. 2020-Jun. 2022: Research Scientist at Protopia AI
Jun. 2020-Sep. 2020: Research Intern at Qualcomm AI Research
Jul. 2019-Sep. 2019: Research Intern at Qualcomm AI Research
Jan. 2015-Jun. 2018: Software Engineer at Samsung Research

Research Assistant

Sep. 2018-present: Graduate Student Researcher at ACT Lab, UCSD
Jul. 2014-Dec. 2014: Research Intern at CVIP Lab, Korea University


Military Experience

Jul. 2011-Apr. 2013: Sergeant (E-5) at 2nd CAB, 2nd ID, 8th US Army
* Completed my military service in Korea as a Korean Augmentation To the United States Army (KATUSA)