News & Travel

• May, 2025 I have been recognised as an ML and Systems Rising Star by MLCommons! See you all in San Francisco! [Honours/Awards]
• Apr, 2025 Our GenAI team's another successful commercialisation, On-device Super-Resolution, has been enabled on the latest flagship Samsung smartphones: Galaxy S25, S25+, and S25 Ultra! (YouTube) [AI Product]
• Jan, 2025 On-device AI Wallpaper has been enabled on the latest flagship Samsung smartphones: Galaxy S25, S25+, and S25 Ultra! [AI Product]
• Sep, 2024 Our paper "TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices" is accepted by NeurIPS 2024 [Paper]
• Aug, 2024 Our GenAI team's recent research effort has been commercialised with On-device AI Wallpaper enabled on various flagship Samsung smartphones: Galaxy S24, Z Flip 6 and Fold 6! (Samsung Galaxy Unpacked Event, Research Blogpost, YouTube (KR), YouTube (EN)) [AI Product]
• Jul, 2024 I will attend ICML 2024 to present our paper "TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge". See you all in Vienna, Austria! [Talk]
• May, 2024 Our paper "TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge" is accepted by ICML 2024 [Paper]
• Mar, 2024 I presented our paper "UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers" on behalf of 1st author, Hong, at IEEE PerCom 2024 [Talk]
• Feb, 2024 I have been invited to give a talk regarding Efficient Continual and On-Device Learning for Edge Computing Platforms at EfficientML Reading Group [Talk]
• Dec, 2023 Our paper "UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers" is accepted to PerCom 2024 (Accpetance Rate: 14.5%) [Paper]
• Nov, 2023 Our paper "ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions" is accepted to Computers in Human Behavior: Artificial Humans 2023 [Paper]
• Nov, 2023 I presented 2 talks regarding data-and memory-efficient continual learning and on-device training at the extreme edge at SenSys 2023 [Talk]
• Oct, 2023 Our paper "LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms" is accepted to SenSys 2023 (Accpetance Rate: 18.9%) [Paper]
• Sep, 2023 I embarked on a new chapter in my journey after (almost) completing my PhD: I joined Samsung AI as a Research Scientist. [Job]
• Aug, 2023 I am happy to serve as Artifact Evaluation Committee for MobiCom 2023
• Mar, 2022 I have been invited to give a talk, "Deep Learning at the Extreme Edge", at Cambridge Korea Academic Society (CKAS) [Talk]
• Sep, 2022 Our paper "Causal Analysis on the Anchor Store Effect in a Location-based Social Network" is accepted to ASONAM 2022 [Paper]
• Aug, 2022 Our paper "PROS: an Efficient Pattern-Driven Compressive Sensing Framework for Low-Power Biopotential-based Wearables with On-chip Intelligence" is accepted to MobiCom 2022 [Paper]
• Jun, 2022 I plan to attend and present my recent work regarding efficient continual learning in mobile computing in MobiUK 2022 at UCL on 4-5th July. See you all soon there! [Talk]
• May, 2022 I am invited to serve as a Shadow PC member for ACM SenSys 2022
• May, 2022 Our paper "Exploring On-Device Learning Using Few Shots for Audio Classification" is accepted to EUSIPCO 2022 [Paper]
• April, 2022 I started a research internship at Samsung AI Center-Cambridge focusing on optimising DNN processing on microcontrollers.
• Feb, 2022 Our paper "MyoKey: Inertial Motion Sensing and Gesture-based QWERTY Keyboard for Extended Realities" is accepted to TMC [Paper]
• Feb, 2022 I have been invited to give a talk about YONO (our recent IPSN paper) at KMA [Talk]
• Jan, 2022 I have been invited to give 2 talks regarding on-device continual leanring and multi-task learning on heterogeneous DNNs at KAIST [Talk]
• Jan, 2022 I visited Prof. Lik-Hang Lee's ARM LAB at KAIST for a month
• Jan, 2022 Our paper "YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers" is accepted to IPSN 2022 [Paper]
• Jan, 2022 Mentored students' paper "Enabling On-Device Smartphone GPU based Training: Lessons Learned" is accepted to PerFail 2022, co-located with PerCom 2022. Congrats Anish Das [Paper]
• Dec, 2021 Our paper "Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications" won the Best Paper Award at SEC 2021

• 2025
  ML and Systems Rising Star Award 2025 by MLCommons
• 2024
  Silver Medal at Samsung Best Paper Award 2024
• 2021
  Best Paper Award at SEC 2021
• 2020-2023
  Nokia Bell Labs Studentship for PhD Study at the University of Cambridge
• 2017-2019
  The Postgraduate Studentship for MPhil Study at HKUST
• 2014-2016
  Samsung Scholarship for Undergraduate Study at SKKU
• 2010-2013
  National Science and Engineering Undergraduate Scholarship at SKKU
• 2016
  Honorable Mention at the KIISE conference 2016
• 2015
  Honorable Mention for undergraduate papers at the KIISE conference 2015
• 2021
  Travel Grant from SEC
• 2021
  Interspeech Travel Grant from ISCA
• 2019
  The Research Travel Grant from HKUST
• 2016
  Honored to be a Valedictorian in the college of ICE
• 2016
  Excellent Record Award for Top 3 Graduates in the college of ICE
• 2016
  Outstanding Undergraduate FYP Award in the college of ICE
• 2015
  The Excellence Award in Mobile App Competition
• 2013-2016
  SungKyunKwan University Scholarship for Excellent Records
• 2013-2015
  Dean's List Awards, 4 times at SKKU and once at HKUST

Mentorship

•  •  Anish Krishna Vallapuram (M.Phil. at HKUST, co-supervised by Prof. Pan Hui, now at Amazon)
      Topic: Causal analysis on the anchor store effect in LBSNs and efficient federated learning
•  •  Nikhil Nanda (B.S. at HKUST, co-supervised by Prof. Pan Hui, now at Columbia University)
      Topic: Interpretable business survival prediction
•  •  Liang-yu Chen (B.S. at HKUST, co-supervised by Prof. Pan Hui, now at Purdue University)
      Topic: Interpretable attention network for churn prediction in LBSNs
•  •  Yutong Chen (B.S. at HKUST, co-supervised by Prof. Pan Hui, now at the University of Chicago)
      Topic: Interpretable churn prediction in LBSNs
•  •  Youwen Kang (B.S. at HKUST, co-supervised by Prof. Pan Hui, now at Tencent)
      Topic: Interpretable churn prediction in LBSNs
•  •  Anish Das (M.Phil. at the University of Cambridge, co-supervised by Prof. Cecilia Mascolo, now at Goldman Sachs)
      Topic: Mobile GPU-based training
•  •  Nav Leelarathna (B.S. at the University of Cambridge, co-supervised by Prof. Cecilia Mascolo)
      Topic: Optimizing on-device training on mobile devices
•  •  Issam Nedjai (M.Phil. at the University of Cambridge, co-supervised by Prof. Abhirup Ghosh and Prof. Cecilia Mascolo)
      Topic: Gossip learning on mobile devices
•  •  Cynthia X. Dong (M.Phil. at the University of Cambridge, co-supervised by Prof. Cecilia Mascolo, now at the University of Washington)
      Topic: Efficient and robust test-time adaptation
•  •  Sijia Li (M.Phil. at HKUST, co-supervised by Prof. Lik-Hang Lee and Prof. Pan Hui)
      Topic: Meta-continual learning in mobile sensing applications
•  •  Alessio Orsino (Ph.D. at the University of Calabria, co-supervised by Prof. Domenico Talia and Prof. Cecilia Mascolo)
      Topic: On-device training and efficient test-time adaptation
•  •  Xiao Ma (Ph.D. at Singapore Management University, co-supervised by Prof. Dong Ma)
      Topic: Efficient test-time adaptation
•  •  Francesco Corti (Ph.D. at the Graz University of Technology, co-supervised by Prof. Olga Saukh and Prof. Cecilia Mascolo)
      Topic: Sample-efficient test-time adaptation

Teaching Assistant

• Michaelmas 2024
  [University of Cambridge] Mobile, Wearable Systems and Machine Learning
• Michaelmas 2023
  [University of Cambridge] Mobile, Wearable Systems and Machine Learning
• Michaelmas 2022
  [University of Cambridge] Programming in C and C++
• Michaelmas 2021
  [University of Cambridge] Programming in C and C++
• Lent 2021
  [University of Cambridge] Mobile and Sensor Systems
• Michaelmas 2020
  [University of Cambridge] Advanced Topics in Mobile Systems and Mobile Data Machine Learning
• Spring 2020
  [HKUST] [COMP 4641] Social Information Network Analysis and Engineering
• Spring 2019
  [HKUST] [COMP 4021] Internet Computing
• Fall 2018
  [HKUST] [COMP 1022Q] Introduction to Computing with Excel VBA
• Spring 2018
  [HKUST] [RMBI 3000B] Data Analytics with R
• Spring 2018
  [HKUST] [RMBI 1010] Risk Management in Society

Committee

• 2024
  EIFCom at MobiCom '24 (PC), FMSys at CPS-IoT Week '24 (Technical PC)
• 2023
  MobiCom 2023 (Artifact Evaluation Committee)
• 2022
  ACM SenSys 2022 (Shadow PC)
• 2020
  INFOCOM 2020 HotPOST (Technical PC)

Reviewer

• 2025
  ICML
• 2024
  ICLR, IEEE Transactions on Mobile Computing
• 2023
  IEEE Access
• 2022
  IEEE VR Workshop (DATA4XR), IMWUT (UbiComp)
• 2021
  IMWUT (UbiComp)
• 2020
  CHI, IMWUT (UbiComp)
• 2019
  IMWUT (UbiComp), CSCW, IEEE Access, SNAM
• 2018
  IEEE Access

Student Volunteer

• Sep 2019
  UbiComp/ISWC 2019

Extra Activities

Rowing - Won silver medal in HKUST Indoor Rowing Competition in Apr 2015 | photo
Rowing - Won bronze medal in 2015 Hong Kong China Rowing Association Coastal Rowing Championships in Mar 2015 | photo
Marathon - Completed half marathon (21.1km) 2 times in 2013 and 2014 (photo)

Traveling

I love traveling to new places since I can meet entirely new people with different perspectives towards lives, worlds, etc.
You can check countries I have visited here in this web page