| 2026 | AAAI | Diffusion for Combating the Hallucination in Large Language Models (Student Abstract). | Hyojun Ahn, Joongheon Kim |
| 2026 | AAAI | Multimodal Coarse-to-Local Transformer for End-to-End Autonomous Driving (Student Abstract). | Yeryeong Cho, Joongheon Kim |
| 2026 | AAAI | Hybrid PPO-DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract). | Tae Hoon Lee, Joongheon Kim |
| 2026 | AAAI | zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract). | Seung Kwon Lee, Seok Bin Son, Joongheon Kim, Hoh Peter In |
| 2026 | ACL | Let LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1, 500-Student Online Classroom. | Jonghoon Lee, Geonjae Youn, Seongmin Lee, Chaemoon Im, Joongheon Kim, Chuck Yoo |
| 2026 | ICDCS | Delay-Aware Robust Quantum Control for Overcoming Micro-Jitter in Modular Quantum Computing. | Hoyeong Lee, Emily Jimin Roh, Joongheon Kim |
| 2026 | ICDCS | Interactive Demonstration of Asynchronous Quantum-as-a-Service for Autonomous Driving. | Emily Jimin Roh, Joongheon Kim |
| 2026 | ICDCS | SplitQ-PEFT: Quantum-Enhanced PEFT for Communication-Efficient Split Learning. | Emily Jimin Roh, Soohyun Park, Joongheon Kim |
| 2026 | INFOCOM | Differential Privacy in Quantum Federated Learning. | Chaemoon Im, Soohyun Park, Joongheon Kim |
| 2026 | INFOCOM | Selective State-Space-Model for Computation-Efficient User Positioning in Multi-Cell Networks. | Minji Lee, Seungcheol Oh, Joongheon Kim, Soohyun Park |
| 2025 | AAAI | Hybrid Quantum-Classical Style Transfer (Student Abstract). | Emily Jimin Roh, Joo Yong Shim, Soohyun Park, Joongheon Kim |
| 2025 | CIKM | Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models. | Emily Jimin Roh, Joongheon Kim |
| 2025 | CIKM | Filtered One-Shot Training for Quantum Architecture Search. | Seok Bin Son, Samuel Yen-Chi Chen, Joongheon Kim, Soohyun Park |
| 2025 | CIKM | LLM-based Interactive Coding Education via Predictive Query Management and Student-Centered Fine-Tuning: Design and Implementation with 1500-Student Class Data. | Geonjae Youn, Jonghoon Lee, Joongheon Kim, Chuck Yoo |
| 2025 | DSN | Learnable Encryption with a Diffusion Property. | Ijaz Ahmad, Joongheon Kim, Seokjoo Shin |
| 2025 | GLOBECOM | Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control. | Hyojun Ahn, Seungcheol Oh, Gyu Seon Kim, Soyi Jung, Soohyun Park, Joongheon Kim |
| 2025 | ICASSP | Quantum Reinforcement Learning for Coordinated Satellite Systems. | Gyu Seon Kim, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim |
| 2025 | ICPADS | Dispenser: Hierarchical KV Cache Management for Efficient LLM Generative Inference. | Beiquan Cao, Kaigui Bian, Guojie Luo, Joongheon Kim |
| 2025 | INFOCOM | Fully-Distributed Fairness-Aware Federated Learning. | Chaemoon Im, Joongheon Kim |
| 2025 | NOMS | Joint Multi-Agent Reinforcement Learning and Message-Passing for Distributed Multi-Uav Network Management using Conflict Graphs. | Yeryeong Cho, Hyunsoo Lee, Soohyun Park, Joongheon Kim |
| 2025 | PIMRC | Polarization Reconfigurable Beamforming with Transformer-Based Deep Neural Network. | Seungcheol Oh, Han Han, Joongheon Kim, Sean Soek-Chul Kwon |
| 2025 | QCE | Quantum Circuit Structure Optimization for Quantum Reinforcement Learning. | Seok Bin Son, Joongheon Kim |
| 2025 | WiOpt | Stabilized Robust Control for Lightweight Autonomous Aircraft Mobility: A Quantum Reinforcement Learning Approach. | Gyu Seon Kim, Jaehyun Chung, Trung Q. Duong, Soohyun Park, Joongheon Kim |
| 2024 | CIKM | Hands-On Introduction to Quantum Machine Learning. | Samuel Yen-Chi Chen, Joongheon Kim |
| 2024 | WiOpt | Advanced Taxiing Path Guidance Using Multi-Agent Reinforcement Learning for Air Traffic Management. | Sungjoon Lee, Gyu Seon Kim, Soohyun Park, Joongheon Kim |
| 2023 | AAAI | FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). | Hankyul Baek, Won Joon Yun, Joongheon Kim |
| 2023 | AAAI | Quantum Multi-Agent Meta Reinforcement Learning. | Won Joon Yun, Jihong Park, Joongheon Kim |
| 2023 | CIKM | Logarithmic Dimension Reduction for Quantum Neural Networks. | Hankyul Baek, Soohyun Park, Joongheon Kim |
| 2023 | CIKM | Quantum Split Learning for Privacy-Preserving Information Management. | Soohyun Park, Hankyul Baek, Joongheon Kim |
| 2023 | ICDCS | Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. | Soohyun Park, Hao Feng, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Joongheon Kim |
| 2023 | ICDCS | Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. | Chanyoung Park, Haemin Lee, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim |
| 2023 | ICDCS | Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. | Won Joon Yun, Samuel Kim, Joongheon Kim |
| 2022 | CIKM | Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. | Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim |
| 2022 | ICDCS | Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints. | Rhoan Lee, Soohyun Park, Soyi Jung, Joongheon Kim |
| 2022 | ICDCS | AoI-Aware Markov Decision Policies for Caching. | Soohyun Park, Soyi Jung, Minseok Choi, Joongheon Kim |
| 2022 | ICDCS | Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. | Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim |
| 2022 | INFOCOM | Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. | Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim |
| 2022 | VTC | Adaptive and Stabilized Streaming for Edge-Assisted Connected Vehicles under Heterogeneous Computing Constraints. | Rhoan Lee, Haemin Lee, Soohyun Park, Joongheon Kim |
| 2022 | VTC | Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning. | Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko, Joongheon Kim |
| 2022 | WiOpt | Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution. | Minseok Choi, Won Joon Yun, Joongheon Kim |
| 2021 | DSN | Spatio-Temporal Split Learning. | Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo |
| 2021 | INFOCOM | Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. | Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim |
| 2021 | SMC | Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. | Won Joon Yun, Sungwon Yi, Joongheon Kim |
| 2020 | ICDCS | Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications. | lk Meteriz, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen |
| 2020 | ICPR | S2I-Bird: Sound-to-Image Generation of Bird Species using Generative Adversarial Networks. | JooYong Shim, Joongheon Kim, Jong-Kook Kim |
| 2020 | WCNC | Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. | Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon |
| 2019 | DSN | Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. | Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim |
| 2019 | GLOBECOM | Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles. | Dohyun Kwon, Joongheon Kim |
| 2019 | IJCAI | Randomized Adversarial Imitation Learning for Autonomous Driving. | Myungjae Shin, Joongheon Kim |
| 2019 | IJCNN | Depth-Controllable Very Deep Super-Resolution Network. | Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim |
| 2019 | IJCNN | Adversarial Imitation Learning via Random Search. | Myungjae Shin, Joongheon Kim |
| 2019 | Mobisys | Light-Weight Programming Language for Blockchain. | Junhui Kim, Joongheon Kim |
| 2019 | Mobisys | Multi-Agent Deep Reinforcement Learning for Connected Vehicles. | Dohyun Kwon, SooHyun Park, Joongheon Kim |
| 2018 | CCS | POSTER: Mining with Proof-of-Probability in Blockchain. | Sungmin Kim, Joongheon Kim |
| 2018 | ICASSP | Self-Adaptive Machine Learning Operating Systems for Security Applications. | Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Joongheon Kim |
| 2018 | ICDCS | ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. | Shin-Young Ahn, Joongheon Kim, Eunji Lim, Wan Choi, Aziz Mohaisen, Sungwon Kang |
| 2018 | ICSE | A novel shared memory framework for distributed deep learning in high-performance computing architecture. | Shin-Young Ahn, Joongheon Kim, Sungwon Kang |
| 2018 | Mobisys | Neural Network Syntax Analyzer for Embedded Standardized Deep Learning. | Myungjae Shin, Joongheon Kim, Aziz Mohaisen, Jaebok Park, KyungHee Lee |
| 2018 | SMC | Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms. | Dohyun Kim, Junseok Kwon, Joongheon Kim |
| 2018 | SECON | Recipient-Oriented Transaction for Preventing Double Spending Attacks in Private Blockchain. | Hyunjae Lee, Myungjae Shin, Kyeong Seon Kim, Yeongeun Kang, Joongheon Kim |
| 2016 | INFOCOM | Buffer-stable adaptive per-module power allocation for energy-efficient millimeter-wave modular antenna array (MAA) platforms. | Joongheon Kim |
| 2016 | SIGCOMM | A Longitudinal Analysis of .i2p Leakage in the Public DNS Infrastructure. | Seong Hoon Jeong, Ah Reum Kang, Joongheon Kim, Huy Kang Kim, Aziz Mohaisen |
| 2015 | GLOBECOM | 60 GHz Frequency Sharing Study between Fixed Service Systems and Small-Cell Systems with Modular Antenna Arrays. | Joongheon Kim, Liang Xian, Reza Arefi, Ali S. Sadri |
| 2015 | SOSP | A case for bad big.LITTLE switching: how to scale power-performance in SI-HMP. | Seehwan Yoo, YoonSeok Shim, Seunghac Lee, Sang-Ah Lee, Joongheon Kim |
| 2013 | MOBICOM | Adaptive video streaming for device-to-device mobile platforms. | Joongheon Kim, Feiyu Meng, Peiyao Chen, Hilmi E. Egilmez, Dilip Bethanabhotla, Andreas F. Molisch, Michael J. Neely, Giuseppe Caire, Antonio Ortega |
| 2011 | PIMRC | Joint optimization of HD video coding rates and unicast flow control for IEEE 802.11ad relaying. | Joongheon Kim, Yafei Tian, Andreas F. Molisch, Stefan Mangold |
| 2010 | Mobisys | Energy-efficient rate-adaptive GPS-based positioning for smartphones. | Jeongyeup Paek, Joongheon Kim, Ramesh Govindan |
| 2007 | HCI | Power Saving Medium Access for Beacon-Enabled IEEE 802.15.4 LR-WPANs. | Joongheon Kim, Wonjun Lee |
| 2007 | ICCS | Genetic Algorithmic Topology Control for Two-Tiered Wireless Sensor Networks. | Donghwan Lee, Wonjun Lee, Joongheon Kim |
| 2007 | UIC | Mobility Driven Vertical Handover for Mobile IPTV Traffic in Hybrid IEEE 802.11e/16e Networks. | Eunjun Choi, Wonjun Lee, Joongheon Kim |
| 2006 | EUC | Dynamic Clustering for Coverage-Time Maximization in Two-Tiered Hierarchical Sensor Network Architectures. | Joongheon Kim, Wonjun Lee, Dongshin Kim, Eunkyo Kim, Hyeokman Kim, Sanghyun Ahn |
| 2006 | VTC | Energy-Aware Distributed Topology Control for Coverage-Time Optimization in Clustering-Based Heterogeneous Sensor Networks. | Joongheon Kim, Jihoon Choi, Wonjun Lee |
| 2005 | EUC | On Energy-Aware Dynamic Clustering for Hierarchical Sensor Networks. | Joongheon Kim, Wonjun Lee, Eunkyo Kim, Joonmo Kim, Choonhwa Lee, Sungjin Kim, Sooyeon Kim |
| 2005 | ICCCN | Effect of localized optimal clustering for reader anti-collision in RFID networks: fairness aspects to the readers. | Joongheon Kim, Wonjun Lee, Jieun Yu, Jihoon Myung, Eunkyo Kim, Choonhwa Lee |