2025
- Tesfahunegn Minwuyelet Mengistu and Taewoon Kim, “Optimizing Federated Learning on Non-IID Data with Cosine Similarity-Driven Client Selection and Retraining,” ICMIC 2025, August 27-30, 2025, Cebu, Philippines (ACK: ITRC/AI대학원, ITRC/AIoT)
- 박동진, 김태운*, “대용량 멀티미디어 데이터의 안정적이고 효율적인 전송을 위한 네트워크 전송 프로토콜 개발,” 한국멀티미디어학회 춘계학술발표대회, 2025/5/8~10, 중앙대학교 백주년 기념관. (ACK: ITRC/AI대학원, ITRC/AIoT) [우수논문]
~2024
- 이강빈, 장진영, 강수민, 김태운*, "응답 시간 기반의 EDoS 공격 대응 기법 연구," UCWIT 2024, Nov. 22-23, 2024, 국립금오공과대학교 (경북 구미), 한국정보과학회(영남지부)
- 도현철, 김태운*, "주행 기록 및 패턴 기반의 자율 주행 에이전트 분류 딥 러닝 모델 개발," UCWIT 2024, Nov. 22-23, 2024, 국립금오공과대학교 (경북 구미), 한국정보과학회(영남지부)
- Aravindh Balaraman and Taewoon Kim, "Optimization of Downlink NOMA-OMA Switching for Urban Vehicular Cellular Networks,"The 10th International Conference on Next Generation Computing (ICNGC 2024), Nov. 20`23, 2024, Clark, Philippines. [Best Paper Award]
- Avilia Kusumaputeri Nugroho, Min Sang Yoon, Taewoon Kim*, "Reinforcement Learning-Based Optimal Task Offloading for Multi-Tier Cloud-Edge Computing System," The 3rd International Conference on Mobile, Military, and Maritime IT Convergence (ICMIC'24), August 7-9, 2024, Kuala Lumpur, Malaysia.
- K. Takahashi, C. Guanzhou, M. Mikogami, Y. Ichimura, S. Shioda*, Taewoon Kim, "Performance Analysis of Slotted ALOHA Schemes for Massive Machine Type Communications," International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2024), 17-19 July 2024, Rome, Italy.
- 김민성, 김태운*, 도현철, "차량 궤적 예측을 위한 시계열 딥러닝 모델의 성능 평가," 2024 한국차세대컴퓨팅학회 춘계학술대회, 2024.04.25~27, 한국교통대학교 충주캠퍼스
- Yuki Ichimura, Shigeo Shioda*, Takeshi Hirai and Taewoon Kim, "Fairness comparison of successful transmission in multiple NOMA-based slotted ALOHA schemes for mMTC", 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS 2024), 29-31 Jan. 2024, Beppu-shi, Oita, Japan.
- Minsung Kim and Taewoon Kim, "Situation-Aware Robust Multi-Step Prediction of Vehicle Trajectory with Enhanced Transformer", 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS 2024), 29-31 Jan. 2024, Beppu-shi, Oita, Japan.
- Avilia Kusumaputeri Nugroho, Shigeo Shioda and Taewoon Kim, "Deep Reinforcement Learning Approach for Resource Optimization and Load Balancing on Edge Computing ", 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS 2024), 29-31 Jan. 2024, Beppu-shi, Oita, Japan.
- Mengistu Tesfahunegn Minwuyelet and Taewoon Kim, "연합 학습에서의 이질성 분류 및 그 영향에 관한 최신 연구 동향," (State-of-the-Art Research Trend on Taxonomy and Impact of Heterogeneity in Federated Learning), UCWIT, 2023.11.24~25, Pusan, South Korea.
- Minsung Kim and Taewoon Kim, "Robust Long-Term Prediction of Vehicle Trajectory with Adaptive Link Projection," The 2nd ICMIC, 2023.08.23~25, Jeju Island, South Korea.
- Jenn-Wei Lin, Taewoon Kim, Hung-Jen Tu, and Po-Hsien Kuo, "Adaptive Model Transfers and Aggregations for Efficient Federated Learning in IoT Edge Systems with Non-IID Data," DMBDA 2023.
- Taewoon Kim* and S. Shioda, "Horizontan and vertical scaling optimization on virtualised MEC for resource efficiency and QoS," JKCCS 2023, Jan. 4-6. [Best Paper Award]
- C.-H. Lee, K. Nguyen, Tae-Woon Kim, J.-D. Kim*, "Enhancing indoor positioning with dynamic role-switching in sparse IEEE 802.11mc networks," JKCCS 2023, Jan. 4-6.
- Y. Ichimura, S. Shioda*, and Tae-Woon Kim, "Performance analysis of spatial slotted ALOHA," JKCCS 2023, Jan. 4-6.