Jonggyu Jang

Email: jgjang [at] postech [dot] ac [dot] kr

I am a postdoctoral researcher at AiSLab in the department of electrical engineering, Pohang University of Science and Technology (POSTECH). Before, I received the B.Sc and Ph.D. degress from the Ulsan National Institute of Science and Technology (UNIST) in 2017 and 2021, respectively. I was fortunate to be advised by Prof. Hyun Jong Yang.

I love watching NBA 🏀 and LoL Esports 💻 in my free time. I am also open to collaborating to explore the trustworthiness of artificial intelligence.

/  GitHub  /  CV  /  Google scholar  /

News

Publications

(*): equal contribution / corresponding author

Generally, I am interested in the following research topics: 1) Trustworthy AI, 2) Influence Function, 3) Differential Privacy. Before, my previous topics are including 📶 Task/Communication Offloading in Wireless Networks, 🛸 Air-to-ground network optimization, 📡 ML-based MIMO beamforming, 🤖 Real-world AI Applications

Preprints

  1. Sehyun Ryu*, Jonggyu Jang*, Hyun Jong Yang , "Differentially Private Data Preprocessing Topic," 2023.
  2. Hyeonsu Lyu*, Jonggyu Jang*, Sehyun Ryu, Hyun Jong Yang , "Deeper Understanding of Black-box Predictions via Generalized Influence Functions," 2023. [Paper]
  3. Jonggyu Jang, Hyeonsu Lyu, and Hyun Jong Yang , "Patch-MI: Enhancing Model Inversion Attacks via Patch-Based Reconstruction," 2023. [Paper]
  4. Minwoo Kim*, Jonggyu Jang*, Hyun Jong Yang , "Age-of-Information-Aware Distributed Task Offloading and Resource Allocation in Mobile Edge Computing Networks," 2024. [Paper]
  5. Hyeonsu Lyu*, Jonggyu Jang*, Harim Lee, and Hyun Jong Yang , "Impromptu Lookahead Trajectory-Planning and Resource Management for a UAV- BS Under QoS Constraints," 2023.
  6. Youjin Kim, Jonggyu Jang, and Hyun Jong Yang , "Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach," 2023. [Paper]

Selected Publications

[10] Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
Jonggyu Jang, Seongjin Hwang, Hyun Jong Yang
International Conference on Machine Learning (ICML) 2024
[Paper] / [Code]
[9] Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)
Sehyun Ryu, Hosung Joo, Jonggyu Jang, Hyun Jong Yang
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024
[Paper] / [Video]
[8] M2SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors
Jonggyu Jang, Sangwoo Oh, Youjin Kim, Dongmin Seo, Youngchol Choi, and Hyun Jong Yang
Conference on Neural Information Processing Systems (NeurIPS) 2023
[Paper] / [Project Page]
[7] Distributed Resource Allocation and User Association for Max-Min Fairness in HetNets
Yeongjun Kim, Jonggyu Jang*, and Hyun Jong Yang*
IEEE Transactions on Vehicular Technology (Correspondence) (IEEE TVT) 2023
[Paper]
[6] α-Fairness Maximizing User Association in Energy-Constrained Small Cell Networks
Jonggyu Jang and Hyun Jong Yang
IEEE Transactions on Wireless Communications (IEEE TWC) 2022
[Paper]
[5] Deep Learning-Aided User Association and Power Control with Renewable Energy Sources
Jonggyu Jang and Hyun Jong Yang
IEEE Transactions on Communications (IEEE TCOM) 2022
[Paper] / [Code]
[4] Recurrent Neural Network-Based User Association and Power Control in Dynamic HetNets
Jonggyu Jang and Hyun Jong Yang
IEEE Transactions on Vehicular Technology (Full paper) (IEEE TVT) 2022
[Paper]
[3] Deep Learning-Based Autonomous Scanning Electron Microscope
Jonggyu Jang, Moohyun Oh, Hyeonsu Lyu, Hyun Jong Yang, and Junhee Lee
IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE/RSJ IROS) 2020
[Paper] / [Video]
[2] Deep Reinforcement Learning-based Resource Allocation and Power Control in Small Cells with Limited Information Exchange
Jonggyu Jang and Hyun Jong Yang
IEEE Transactions on Vehicular Technology (Full paper) (IEEE TVT) 2020
[Paper]
[1] Resource Allocation and Power Control in Cooperative Small Cell Networks with Backhaul Constraint
Jonggyu Jang, Hyun Jong Yang, and Hyekyung Jwa
IEEE Transactions on Vehicular Technology (Full paper) (IEEE TVT) 2019
[Paper]

Experience & Education

Postdoctoral Researcher | POSTECH

2021. Mar - Now
Mandatory military service (~2023.02)

Combined M.S.-Ph.D. in Electrical Engineering | UNIST

Mar. 2017 - Feb. 2021
M.S / Ph.D Integrated Program
Advisor : Prof. Hyun Jong Yang (He has been currently moved to POSTECH)

B.Sc in Electrical Engineering | UNIST

Mar. 2012 - Feb. 2017
Magna Cum Laude

Talks and Tutorials


Honors and Scholarship


Academic Activities

Journal Reviewer

Conference Reviewer

Technical Program Committee

Editor