Hankyul Baek - RankMe

31 papers A* 2A 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats. CoRR Ee Wei Seah, Yongsen Zheng, Naga Nikshith, Mahran Morsidi, Gabriel Waikin Loh Matienzo, Nigel Gay, Akriti Vij, Benjamin Chua, En Qi Ng, Sharmini Johnson, Vanessa Wilfred, Wan Sie Lee, Anna Davidson, Catherine Devine, Erin Zorer, Gareth Holvey, Harry Coppock, James Walpole, Jerome Wynee, Magda Dubois, Michael Schmatz, Patrick Keane, Sam Deverett, Bill Black, Bo Yan, Bushra Sabir, Frank Sun, Hao Zhang, Harriet Farlow, Helen Zhou, Lingming Dong, Qinghua Lu, Seung Jang, Sharif Abuadbba, Simon O'Callaghan, Suyu Ma, Tom Howroyd, Cyrus Fung, Fatemeh Azadi, Isar Nejadgholi, Krishnapriya Vishnubhotla, Pulei Xiong, Saeedeh Lohrasbi, Scott Buffett, Shahrear Iqbal, Sowmya Vajjala, Anna Safont-Andreu, Luca Massarelli, Oskar van der Wal, Simon Möller, Agnès Delaborde, Joris Duguépéroux, Nicolas Rolin, Romane Gallienne, Sarah Behanzin, Tom Seimandi, Akiko Murakami, Takayuki Semitsu, Teresa Tsukiji, Angela Kinuthia, Michael Michie, Stephanie Kasaon, Jean Wangari, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim
2026	J	`jnl`	Improving Methodologies for LLM Evaluations Across Global Languages. CoRR Akriti Vij, Benjamin Chua, Darshini Ramiah, En Qi Ng, Mahran Morsidi, Naga Nikshith Gangarapu, Sharmini Johnson, Vanessa Wilfred, Vikneswaran Kumaran, Wan Sie Lee, Wenzhuo Yang, Yongsen Zheng, Bill Black, Boming Xia, Frank Sun, Hao Zhang, Qinghua Lu, Suyu Ma, Yue Liu, Chi-kiu Lo, Fatemeh Azadi, Isar Nejadgholi, Sowmya Vajjala, Agnès Delaborde, Nicolas Rolin, Tom Seimandi, Akiko Murakami, Haruto Ishi, Satoshi Sekine, Takayuki Semitsu, Tasuku Sasaki, Angela Kinuthia, Jean Wangari, Michael Michie, Stephanie Kasaon, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim, Daisy Newbold-Harrop, Jessica Wang, Mahmoud Ghanem, Vy Hong
2025	J	`jnl`	Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. IEEE Trans. Mob. Comput. Emily Jimin Roh, Hankyul Baek, Donghyeon Kim, Joongheon Kim
2025	J	`jnl`	Quantum infidelity codistillation for fast and accurate distributed quantum machine learning. J. Supercomput. Seungeun Oh, Jinhyuk Kim, Jihong Park, Hankyul Baek, Hyunsoo Lee, Joongheon Kim, Seong-Lyun Kim
2025	J	`jnl`	Slimmable Federated Reinforcement Learning for Energy-Efficient Proactive Caching. IEEE Trans. Netw. Hankyul Baek, Gyu Seon Kim, Soohyun Park, Andreas F. Molisch, Joongheon Kim
2024	J	`jnl`	AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation. Future Gener. Comput. Syst. Soohyun Park, Hankyul Baek, Jung Won Yoon, Youn Kyu Lee, Joongheon Kim
2024	J	`jnl`	Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications. IEEE Access Hyunsoo Lee, Gyu Seon Kim, Minseok Choi, Hankyul Baek, Soohyun Park
2024	J	`jnl`	Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. CoRR Hankyul Baek, Donghyeon Kim, Joongheon Kim
2024	J	`jnl`	Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks. IEEE Trans. Intell. Veh. Soyi Jung, Hankyul Baek, Joongheon Kim
2024	J	`jnl`	Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse. IEEE Access Soohyun Park, Hankyul Baek, Joongheon Kim
2024	J	`jnl`	Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems. IEEE/ACM Trans. Netw. Soohyun Park, Hankyul Baek, Joongheon Kim
2024	J	`jnl`	The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces. IEEE Commun. Mag. Soohyun Park, Hankyul Baek, Joongheon Kim
2023	A*	`conf`	FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). AAAI Hankyul Baek, Won Joon Yun, Joongheon Kim
2023	A	`conf`	Logarithmic Dimension Reduction for Quantum Neural Networks. CIKM Hankyul Baek, Soohyun Park, Joongheon Kim
2023	—	`conf`	Modern Trends in Quantum AI: Distributed and High-Definition Computation. ICOIN Jae Pyoung Kim, Won Joon Yun, Hankyul Baek, Joongheon Kim
2023	—	`conf`	Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. ICOIN Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim
2023	A	`conf`	Quantum Split Learning for Privacy-Preserving Information Management. CIKM Soohyun Park, Hankyul Baek, Joongheon Kim
2023	J	`jnl`	Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework. IEEE Open J. Comput. Soc. Hankyul Baek, Rhoan Lee, Soyi Jung, Joongheon Kim, Soohyun Park
2023	J	`jnl`	SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. IEEE/ACM Trans. Netw. Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
2023	J	`jnl`	Stereoscopic scalable quantum convolutional neural networks. Neural Networks Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim
2022	J	`jnl`	3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. CoRR Hankyul Baek, Won Joon Yun, Joongheon Kim
2022	A*	`conf`	Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. INFOCOM Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
2022	J	`jnl`	Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. CoRR Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim
2022	J	`jnl`	Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. CoRR Won Joon Yun, Hankyul Baek, Joongheon Kim
2022	J	`jnl`	Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. CoRR Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim
2022	J	`jnl`	Quantum Split Neural Network Learning using Cross-Channel Pooling. CoRR Won Joon Yun, Hankyul Baek, Joongheon Kim
2022	J	`jnl`	Scalable Quantum Convolutional Neural Networks. CoRR Hankyul Baek, Won Joon Yun, Joongheon Kim
2022	J	`jnl`	SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks. CoRR Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
2022	—	`conf`	Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms. APWCS Hankyul Baek, Haemin Lee, Ji-Yeon Kim, Soyi Jung, Minseok Choi, Joongheon Kim
2021	J	`jnl`	Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. CoRR Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis
2021	J	`jnl`	Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. CoRR Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim