World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
9870
World Ranking
8671
National Ranking
86

Electronics and Electrical Engineering

D-Index
37
Citations
8603
World Ranking
5034
National Ranking
170

Overview

Yung Yi is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research spans multiple areas within computer science and engineering, with a focus on applications including artificial intelligence, computer networks, and automotive engineering.

Their scholarly contributions cover a wide range of topics, such as:

  • Mobile Crowdsensing and Crowdsourcing
  • Complex Network Analysis Techniques
  • Auction Theory and Applications
  • Transportation and Mobility Innovations
  • Reinforcement Learning in Robotics
  • Domain Adaptation and Few-Shot Learning
  • Advanced Battery Technologies Research

Yung Yi has published extensively with notable frequent co-authors including Kyunghwan Son, Joonki Hong, Jinwoo Shin, Eui-Rim Jeong, and Jaeyoung Choi. These collaborative efforts have been disseminated through various academic outlets.

Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • Applied Energy
  • Journal of Medical Internet Research
  • IEEE Transactions on Mobile Computing

Selected recent papers authored or co-authored by Yung Yi are:

  • Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning, 2020, Applied Energy
  • Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study, 2020, Journal of Medical Internet Research
  • QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning, 2020, arXiv (Cornell University)
  • Information Source Finding in Networks: Querying With Budgets, 2020, IEEE/ACM Transactions on Networking
  • On Self-configuring IoT with Dual Radios: A Cross-Layer Approach, 2021, IEEE Transactions on Mobile Computing

Their research projects typically employ techniques in reinforcement learning, network analysis, and deep learning, addressing problems in areas such as battery life prediction, health monitoring through wearable devices, multi-agent systems, and Internet of Things configuration strategies.

Yung Yi's main fields of study are Computer Science and Engineering, with 17 and 7 publications respectively contributing to these domains. Their subfields include:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Automotive Engineering
  • Management Science and Operations Research

Best Publications

  • Rethinking virtual network embedding: substrate support for path splitting and migration

    Minlan Yu;Yung Yi;Jennifer Rexford;Mung Chiang

  • Mobile data offloading: how much can WiFi deliver?

    Kyunghan Lee;Joohyun Lee;Yung Yi;Injong Rhee

  • Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks

    Kyuho Son;Hongseok Kim;Yung Yi;B. Krishnamachari

  • Mobile data offloading: how much can WiFi deliver?

    Kyunghan Lee;Joohyun Lee;Yung Yi;Injong Rhee

  • Hop-by-hop congestion control over a wireless multi-hop network

    Yung Yi;S. Shakkottai

  • Hop-by-hop congestion control over a wireless multi-hop network

    Yung Yi;Sanjay Shakkottai

  • QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning.

    Kyunghwan Son;Daewoo Kim;Wan Ju Kang;David Earl Hostallero

  • TEAR: TCP emulation at receivers – flow control for multimedia streaming

    Injong Rhee;Volkan Ozdemir;Yung Yi

  • Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning

    Joonki Hong;Dongheon Lee;Eui-Rim Jeong;Yung Yi

  • REFIM: A Practical Interference Management in Heterogeneous Wireless Access Networks

    Kyuho Son;Soohwan Lee;Yung Yi;Song Chong

  • Kargus: a highly-scalable software-based intrusion detection system

    Muhammad Asim Jamshed;Jihyung Lee;Sangwoo Moon;Insu Yun

  • Towards utility-optimal random access without message passing

    J. Liu;Y. Yi;A. Proutiere;M. Chiang

  • Stochastic network utility maximisation—a tribute to Kelly's paper published in this journal a decade ago

    Yung Yi;Mung Chiang

  • Economics of WiFi Offloading: Trading Delay for Cellular Capacity

    Joohyun Lee;Yung Yi;Song Chong;Youngmi Jin

  • Max-Contribution: On Optimal Resource Allocation in Delay Tolerant Networks

    Kyunghan Lee;Yung Yi;Jaeseong Jeong;Hyungsuk Won

  • The Economic Effects of Sharing Femtocells

    Se-Young Yun;Yung Yi;Dong-Ho Cho;Jeonghoon Mo

  • How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction

    Se-eun Yoon;Hyungseok Song;Kijung Shin;Yung Yi

  • Learning to Schedule Communication in Multi-agent Reinforcement Learning

    Daewoo Kim;Sangwoo Moon;David Hostallero;Wan Ju Kang

  • Complexity in wireless scheduling: impact and tradeoffs

    Yung Yi;Alexandre Proutière;Mung Chiang

  • Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

    Soonil Kwon;Joonki Hong;Eue Keun Choi;Euijae Lee

  • Open or close: On the sharing of femtocells

    Seyoung Yun;Yung Yi;Dong-Ho Cho;Jeonghoon Mo

  • MAC scheduling with low overheads by learning neighborhood contention patterns

    Yung Yi;Gustavo de Veciana;Sanjay Shakkottai

Frequent Co-Authors

Jinwoo Shin
Jinwoo Shin Korea Advanced Institute of Science and Technology
Song Chong
Song Chong Korea Advanced Institute of Science and Technology
Mung Chiang
Mung Chiang Purdue University West Lafayette
Alexandre Proutiere
Alexandre Proutiere Royal Institute of Technology
Injong Rhee
Injong Rhee North Carolina State University
Sanjay Shakkottai
Sanjay Shakkottai The University of Texas at Austin
Marc Moonen
Marc Moonen KU Leuven
Sewoong Oh
Sewoong Oh University of Washington
Yanghee Choi
Yanghee Choi Seoul National University
Jae-Young Choi
Jae-Young Choi Sungkyunkwan University

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