Dong-Jun Han - RankMe

83 papers A* 20B 5Journal 50Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation. IEEE Trans. Netw. Frank Po-Chen Lin, Evan Chen, Dong-Jun Han, Christopher G. Brinton
2026	J	`jnl`	Efficient Split Learning With Overlapping Areas: Handling Distribution Shift in Multi-Cell Networks. IEEE Trans. Netw. Atif Rizwan, Dong-Jun Han, Md. Ferdous Pervej, Christopher G. Brinton, Andreas F. Molisch, Minseok Choi
2026	A*	`conf`	ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization. AAAI Jungwuk Park, Dong-Jun Han, Jaekyun Moon
2026	J	`jnl`	Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning. CoRR Shahryar Zehtabi, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2025	A*	`conf`	Adaptive Energy Alignment for Accelerating Test-Time Adaptation. ICLR Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon
2025	A*	`conf`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. ICLR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton
2025	J	`jnl`	Collaborative Device-Cloud LLM Inference through Reinforcement Learning. CoRR Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Christopher G. Brinton
2025	J	`jnl`	Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis. CoRR Shahryar Zehtabi, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	A*	`conf`	Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. ICLR Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	—	`conf`	Differentially-Private Multi-Tier Federated Learning. ICC Evan Chen, Frank Po-Chen Lin, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation. CoRR Evan Chen, Frank Po-Chen Lin, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Federated Learning Over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning. IEEE Trans. Netw. Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. CoRR Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	—	`conf`	LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences. EMNLP (Findings) Liangqi Yuan, Dong-Jun Han, Christopher G. Brinton, Sabine Brunswicker
2025	J	`jnl`	LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences. CoRR Liangqi Yuan, Dong-Jun Han, Christopher G. Brinton, Sabine Brunswicker
2025	B	`conf`	Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. MobiHoc Liangqi Yuan, Dong-Jun Han, Shiqiang Wang, Christopher Brinton
2025	J	`jnl`	Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. CoRR Liangqi Yuan, Dong-Jun Han, Shiqiang Wang, Christopher G. Brinton
2025	J	`jnl`	MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge. CoRR Guangchen Lan, Sipeng Zhang, Tianle Wang, Yuwei Zhang, Daoan Zhang, Xinpeng Wei, Xiaoman Pan, Hongming Zhang, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Next-Generation LLM for UAV: From Natural Language to Autonomous Flight. CoRR Liangqi Yuan, Chuhao Deng, Dong-Jun Han, Inseok Hwang, Sabine Brunswicker, Christopher G. Brinton
2025	A*	`conf`	PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models. ICLR Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo
2025	J	`jnl`	PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models. CoRR Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo
2025	A*	`conf`	Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. AAAI Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	J	`jnl`	TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning. CoRR Seohyun Lee, Wenzhi Fang, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	A*	`conf`	Unlocking the Potential of Model Calibration in Federated Learning. ICLR Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2024	A*	`conf`	Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning. ICML Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon
2024	J	`jnl`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
2024	J	`jnl`	Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
2024	A*	`conf`	Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. AAAI Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon
2024	J	`jnl`	Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. CoRR Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon
2024	J	`jnl`	Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
2024	—	`conf`	Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks. ICC Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. CoRR Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	B	`conf`	FICDF: A Federated Incremental Learning Framework for IoT Device Fingerprinting. WiOpt Shengli Ding, Dong-Jun Han, Christopher G. Brinton, Keerthi Dasala
2024	—	`conf`	FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. ICC Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton
2024	J	`jnl`	Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction. CoRR Zhan-Lun Chang, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	J	`jnl`	Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks. IEEE Trans. Mob. Comput. Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David R. Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton
2024	A*	`conf`	Hierarchical Federated Learning with Multi-Timescale Gradient Correction. NeurIPS Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	J	`jnl`	Hierarchical Federated Learning with Multi-Timescale Gradient Correction. CoRR Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	J	`jnl`	Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses. IEEE Trans. Neural Networks Learn. Syst. Dong-Jun Han, Jungwuk Park, Seokil Ham, Namjin Lee, Jaekyun Moon
2024	—	`conf`	Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. WWW (Companion Volume) Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
2024	J	`jnl`	Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. CoRR Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
2024	J	`jnl`	Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. IEEE J. Sel. Areas Commun. Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. CoRR Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	J	`jnl`	SePPO: Semi-Policy Preference Optimization for Diffusion Alignment. CoRR Daoan Zhang, Guangchen Lan, Dong-Jun Han, Wenlin Yao, Xiaoman Pan, Hongming Zhang, Mingxiao Li, Pengcheng Chen, Dong Yu, Christopher Brinton, Jiebo Luo
2024	—	`conf`	Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. ICC Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
2024	J	`jnl`	Unlocking the Potential of Model Calibration in Federated Learning. CoRR Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2024	J	`jnl`	Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? CoRR Yongsheng Mei, Liangqi Yuan, Dong-Jun Han, Kevin S. Chan, Christopher G. Brinton, Tian Lan
2023	A*	`conf`	Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation. ICLR Younghyun Park, Wonjeong Choi, Soyeong Kim, Dong-Jun Han, Jaekyun Moon
2023	J	`jnl`	Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
2023	J	`jnl`	FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. CoRR Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton
2023	A*	`conf`	NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks. NeurIPS Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
2023	J	`jnl`	NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks. CoRR Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
2023	A*	`conf`	SplitGP: Achieving Both Generalization and Personalization in Federated Learning. INFOCOM Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
2023	A*	`conf`	StableFDG: Style and Attention Based Learning for Federated Domain Generalization. NeurIPS Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
2023	J	`jnl`	StableFDG: Style and Attention Based Learning for Federated Domain Generalization. CoRR Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
2023	J	`jnl`	Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. CoRR Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
2023	A*	`conf`	Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization. ICML Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon
2023	J	`jnl`	Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization. CoRR Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon
2023	A*	`conf`	Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning. ICLR Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon
2022	—	`conf`	Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation. CVPR Workshops Younghyun Park, Soyeong Kim, Wonjeong Choi, Dong-Jun Han, Jaekyun Moon
2022	J	`jnl`	SplitGP: Achieving Both Generalization and Personalization in Federated Learning. CoRR Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
2021	J	`jnl`	Coded Wireless Distributed Computing With Packet Losses and Retransmissions. IEEE Trans. Wirel. Commun. Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2021	J	`jnl`	FedMes: Speeding Up Federated Learning With Multiple Edge Servers. IEEE J. Sel. Areas Commun. Dong-Jun Han, Minseok Choi, Jungwuk Park, Jaekyun Moon
2021	A*	`conf`	Few-Round Learning for Federated Learning. NeurIPS Younghyun Park, Dong-Jun Han, Do-Yeon Kim, Jun Seo, Jaekyun Moon
2021	J	`jnl`	Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge. IEEE Trans. Wirel. Commun. Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2021	J	`jnl`	Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands. IEEE Trans. Wirel. Commun. Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Dongjae Kim, Joongheon Kim, Jaekyun Moon
2021	A*	`conf`	Sageflow: Robust Federated Learning against Both Stragglers and Adversaries. NeurIPS Jungwuk Park, Dong-Jun Han, Minseok Choi, Jaekyun Moon
2021	A*	`conf`	TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks. INFOCOM Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2020	B	`conf`	Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. WCNC Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon
2020	J	`jnl`	Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. CoRR Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon
2020	J	`jnl`	Communication-Computation Efficient Secure Aggregation for Federated Learning. CoRR Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
2020	A*	`conf`	Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. NeurIPS Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
2019	B	`conf`	Coded Distributed Computing over Packet Erasure Channels. ISIT Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2019	J	`jnl`	Coded Distributed Computing over Packet Erasure Channels. CoRR Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
2019	J	`jnl`	Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. CoRR Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
2019	—	`conf`	Probabilistic Caching Policy for Categorized Contents and Consecutive User Demands. ICC Minseok Choi, Dongjae Kim, Dong-Jun Han, Joongheon Kim, Jaekyun Moon
2019	B	`conf`	Scalable Network-Coded PBFT Consensus Algorithm. ISIT Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
2018	J	`jnl`	Bi-Directional Cooperative NOMA Without Full CSIT. IEEE Trans. Wirel. Commun. Minseok Choi, Dong-Jun Han, Jaekyun Moon
2018	J	`jnl`	Bi-Directional Cooperative NOMA without Full CSIT. CoRR Minseok Choi, Dong-Jun Han, Jaekyun Moon
2018	J	`jnl`	Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information. IEEE Trans. Veh. Technol. Dong-Jun Han, Jaekyun Moon, Jy-yong Sohn, Sunyoung Jo, Jang Hun Kim
2017	J	`jnl`	Combined Subband-Subcarrier Spectral Shaping in Multi-Carrier Modulation Under the Excess Frame Length Constraint. IEEE J. Sel. Areas Commun. Dong-Jun Han, Jaekyun Moon, Dongjae Kim, Sae-Young Chung, Yong H. Lee
2017	J	`jnl`	NOMA in Distributed Antenna System for Max-Min Fairness and Max-Sum-Rate. CoRR Dong-Jun Han, Minseok Choi, Jaekyun Moon