[ International Journal ]

• 1. M. Her, J. Jeong, H. Song, and J.-H. Han, "Batch Transformer: Look for Attention in Batch," IEEE Access (under revision).

  2. H. G. Nabi, K. C. Alowonou, and J.-H, Han, "ATSLA: Attention-driven Temporal-Spatial Learning Architecture for Dynamic Facial Expression Recognition," IEEE Access (submitted).

  3. M. Her, H. G. Nabi, and J.-H. Han, "FRU-Adapter: Frame Recalibration Unit Adapter for Dynamic Facial Expression Recognition," Electronics, 14(5), 978, Feb. 2025. (doi: 10.3390/electronics14050978)

  4. K. C. Alowonou and J.-H. Han, "MSA-GCN: Exploiting Multi-Scale Temporal Dynamics with Adaptive Graph Convolution for Skeleton-Based Action Recognition," IEEE ACCESS, vol. 12, pp. 193552-193563, Dec. 2024. (doi: 10.1109/ACCESS.2024.3520172)

  5. S. Amirullaeva and J.-H. Han, "Relative Age Position Learning for Face-based Age Estimation," IEEE ACCESS, vol. 12, pp. 118832-118841, Aug. 2024. (doi: 10.1109/ACCESS.2024.3445178)

  6. T.-T. Nguyen and J.-H. Han, "Zero-Shot Proxy with Incorporated-Score for Light-Weight Deep Neural Architecture Search," Electronics, 13, 3325, Aug. 2024. (doi: 10.3390/electronics13163325) 

  7. S. S. Htun, J. S. Park, K.-W. Lee, and J.-H. Han, "TempoLearn Network: Leveraging Spatio-temporal Learning for Traffic Accident Detection," IEEE ACCESS, vol. 11, pp. 142292-142303, Dec. 2023. (doi: 10.1109/ACCESS.2023.3343410)

  8. S. W. Beyene and J.-H. Han, "Prioritized Hindsight with Dual Buffer for Meta-reinforcement Learning," Electronics, 11, 4192, Dec. 2022. (doi: 10.3390/electronics11244192)

  9. H. Yoon and J.-H. Han, "Content-Based Video Retrieval with Prototypes of Deep Features," IEEE ACCESS, vol. 10, pp. 30730-30742, Mar. 2022. (doi: 10.1109/ACCESS.2022.3160214)

  10. S.-H. Kang and J.-H. Han, "Video Captioning Based on Both Egocentric and Exocentric Views of Robot Vision for Human-Robot Interaction," International Journal of Social Robotics, Nov. 2021. (doi: 10.1007/s12369-021-00842-1)

  11. U. Gankhuyag and J.-H. Han, "Automatic BIM Indoor Modelling from Unstructured Point Clouds Using a Convolutional Neural Network," Intelligent Automation & Soft Computing, vol. 28, no. 1, pp. 133-152, Mar. 2021. (doi: 10.32604/iasc.2021.015227)  

  12. S.-H. Kang and J.-H. Han, "New RNN Activation Technique for Deeper Networks: LSTCM cells," IEEE ACCESS, vol. 8, pp. 214625-214632, Nov. 2020.  (doi: 10.1109/ACCESS.2020.3040405)

  13. U. Gankhuyag and J.-H. Han, "Automatic 2D Floorplan CAD Generation from 3D Point Clouds," Applied Sciences, vol. 10, no. 8: 2817, Apr. 2020. (doi: 10.3390/app10082817)

  14. D.-H. Lee, S.A. Zaheer, J.-H. Han, J.-H. Kim, and E. Matson, "Competency Adjustment and Workload Balancing Framework in Multi-robot Task Allocation," International Journal of Advanced Robotic Systems, pp. 1-15, Nov. 2018. (doi: 10.1177/1729881418812960)

  15. J.-H. Han, S.-H. Choi, and J.-H. Kim, “Interactive Human Intention Reading by Learning Hierarchical Behavior Knowledge Networks for Human-Robot Interaction,” ETRI Journal, vol. 38, no. 6, pp. 1229-1239, Dec. 2016.

  16.  J.-H. Han, S.-J. Lee, and J.-H. Kim, “Behavior Hierarchy-Based Affordance Map for Recognition of Human Intention and Its Application to Human-Robot Interaction,” IEEE Trans. on Human-Machine Systems, vol. 46, no. 5, pp. 708-722, Oct. 2016.

  17.  J.-H. Kim, J.-H. Han, Y.-H. Kim, S.-H. Choi, and E.-S. Kim, “Preference-Based Solution Selection Algorithm for Evolutionary Multiobjective Optimization,” IEEE Trans. on Evolutionary Computation, vol. 16, no. 1, pp. 20-34, Feb. 2012. 

  18.  J.-H. Kim, W.-R. Ko, J.-H. Han, and S.A. Zaheer, “The Degree of Consideration-Based Mechanism of Thought and Its Application to Artificial Creatures for Behavior Selection,” IEEE Computational Intelligence Magazine, vol. 7, no. 1, pp. 49-63, Feb. 2012. 

  19.  Y.-D. Hong, Y.-H. Kim, J.-H. Han, J.-K. Yoo, and J.-H. Kim, “Evolutionary Multiobjective Footstep Planning for Humanoid Robots,” IEEE Trans. on Systems, Man, and Cybernetics – Part C, vol. 41, no. 4, pp. 520-532, Jul. 2011. 

[ Domestic Journal]

1. H.-J. Song and J.-H. Han, "A Robot System that Interacts with Human using Facial Expression Recognition and Motion Generation Model," Journal of Korea Robotics Society, vol. 19, no. 4, pp. 335-346, Dec. 2024.

2. S. Kim and J.-H. Han, "Human Action Recognition in Residential Area with Video Frame Selection Method," Journal of KIISE, vol. 50, no. 12, pp. 1111-1120, Dec. 2023.

3. Y.-J. Jeong and J.-H. Han, "Implementation of Voice Command-based Object Detection System for Mobile Robot Using Deep Learning," Journal of Institute of Control, Robotics and Systems, vol. 29, no. 2, pp. 88-97, Feb. 2023. 

4. S.-A. Lee and J.-H. Han, "Copy-Paste Based Image Data Augmentation Method Using GAN for Object Detection,"  Journal of KIISE, vol. 49, no. 12, pp. 1056-1061, Dec. 2022.

5. J. Lee and J.-H. Han, "Layer-wise Relevance Propagation (LRP) Based Technical and Macroeconomic Indicators Impact Analysis for the Explainable Deep Learning Model to Predict KOSPI Increase and Decrease," Journal of KIISE, vol. 48, no. 12, pp. 1289-1297, Dec. 2021. 

6. Y.-G. Kim and J.-H. Han, "Development of Humanoid Robot HUMIC and Reinforcement Learning-based Robot Behavior Intelligence using Gazebo Simulator," Journal of Korea Robotics Society, vol. 16, no. 3, pp. 260-269, Sep.  2021.

7. H. Yoon, S.H. Kang, and J.-H. Han, "ChannelAug: A New Approach to Data Augmentation for Improving Image Classification Performance in Uncertain Environments," Journal of KIISE, vol. 47, no. 6, pp. 568-576, Jun. 2020. 

8. D. Park, K.-M. Kang, J.-W. Bae, and J.-H. Han, “Robot Vision to Audio Description Based on Deep Learning for Effective Human-Robot Interaction,” Journal of Korea Robotics Society, vol. 14, no. 1, pp. 22-30, Mar. 2019.

9.  J.H. Park, R.W. Kim, H.S. Cho, J.-H.Han, and S.-Y. Chi, “Technology Trends in Predictive Manufacturing Systems,” Electronics and Telecommunications Trends, vol. 30, no. 5, pp. 59-68, Oct. 2015.

[ International Conference]

• 1. T. Nguyen, H. G. Nabi, and J.-H. Han, "ZenNet-SA: An Efficient Lightweight Neural Network with Shuffle Attention for Facial Expression Recognition," in The 24th International Conference on Control, Automation and Systems (ICCAS 2024), Jeju, Republic of Korea, Oct. 2024.

  2. S. Amirullaeva and J.-H. Han, "Multi-scale Similarity Learning for Age Estimation based on Facial Images," in The 23rd International Conference on Control, Automation and Systems (ICCAS 2023), Yeosu, Republic of Korea, Oct. 2023.

  3. J. S. Park, A. Lee, K.-W. Lee, S.W. Shin, S.-S. Htun, and J.-H. Han, "AI-Based Modeling Architecture to Detect Traffic Anomalies from Dashcam Videos," in The 13th International Conference on ICT Convergence (ICTC 2022), Jeju, Republic of Korea, Oct. 2022.

  4. Y.-J. Jeong, S.-S. Htun, and J.-H. Han, "Describing Environmental Information in Videos Using Machine Learning," in The 21st International Conference on Control, Automation and Systems (ICCAS 2021), Jeju, Republic of Korea, Oct. 2021.

  5.  J. Park, C. Song, and J.-H. Han, “A Study of Evaluation Metrics and Datasets for Video Captioning,” in International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS 2017), Okinawa, Japan, pp. 172-175, Dec. 2017.

  6.  J.-H. Han and S.-Y. Chi, “Consideration of Manufacturing Data to Apply Machine Learning Methods for Predictive Manufacturing,” in The Eighth International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, pp. 109-113, Jul. 2016.

  7.  H.S. Cho, J.-H. Han, S.-Y. Chi, and K.-H. Yoo “A Tool Breakage Detection System Using Load Signals of Spindle Motors in CNC Machines,” in The Eighth International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, pp. 160-163, Jul. 2016.

  8.  J.-H. Han, R. Kim, and S.-Y. Chi, “Applications of Machine Learning Algorithms to Predictive Manufacturing: Trends and Application of Tool Wear Compensation Parameter Recommendation,” in International Conference on Big Data Applications and Services (BigDAS 2015), Jeju Island, Republic of Korea, pp. 51-57, Oct. 2015.

  9.  R. Kim, J.-H. Han, and S.-Y. Chi, “Data Acquisition for Control Level Automation for SMEs: Requirements and Architecture,” in International Conference on Big Data Applications and Services (BigDAS 2015), Jeju Island, Republic of Korea, pp. 180-183, Oct. 2015.

  10.  J.-H. Han and J.-H. Kim, “3D Visibility Check in Webots for Human Perspective Taking in Human-Robot Interaction,” in International Conference on Robot Intelligence Technology and Applications, Beijing, China, pp. 255-262, Nov. 2014.

  11.  J.-H. Han and J.-H. Kim, “Consideration about the Application of Dynamic Time Warping to Human Hands Behavior Recognition for Human-Robot Interaction,” in International Conference on Robot Intelligence Technology and Applications, Denver, USA, pp. 269-277, Dec. 2013.

  12.  J.-H. Han and J.-H. Kim, “Human Intention Reading by Fuzzy Cognitive Map: A Human-Robot Cooperative Object Carrying Task,” in International Conference on Robot Intelligence Technology and Applications, Gwangju, Republic of Korea, pp. 127-135, Dec. 2012.

  13.  D.-H. Lee, J.-H. Han, and J.-H. Kim, “Market-based Multiagent Framework for Balanced Task Allocation,” in International Conference on Robot Intelligence Technology and Applications, Gwangju, Republic of Korea, pp. 549-559, Dec. 2012.

  14.  D.-H. Lee, J.-H. Han, and J.-H. Kim, “A Preference-based Task Allocation Framework for Multi-Robot Coordination,” in Proc. IEEE International Conference on Robotics and Biomimetics, Phuket Island, Thailand, pp. 2925-2930, Dec. 2011.

  15.  S.-H. Choi, J.-H. Han, and J.-H. Kim, “3D-Position Estimation for Hand Gesture Interface Using a Single Camera,” in Proc. International Conference on Human-Computer Interaction, Orlando, USA, pp. 231-237, Jul. 2011.

  16.  J.-H. Han and J.-H. Kim, “Human-Robot Interaction by Reading Human Intention Based on Mirror-Neuron System,” in Proc. IEEE International Conference on Robotics and Biomimetics, Tianjin, China, pp. 561-566, Dec. 2010.

  17.  H. Park, J.-H. Han, and J.-H. Kim, “Swarm Intelligence-based Sensor Network Deployment Strategy,” in Proc. IEEE World Congress on Computational Intelligence, Barcelona, Spain, pp. 4210-4215, Jul. 2010.

  18.  I.-W. Park, B.-J. Lee, Y.-H. Kim, J.-H. Han, and J.-H. Kim, “Multi-objective Quantum-inspired Evolutionary Algorithm-based Optimal Control of Two-link Inverted Pendulum,” in Proc. IEEE World Congress on Computational Intelligence, Barcelona, Spain, pp. 3382-3388, Jul. 2010.

[ Domestic Conference]

• 1. H. Song and J.-H. Han, "ViT를 적용한 실시간 표정 인식 로봇 시스템," in KICS Fall Conference, Gyeongju, Republic of Korea, Nov. 2023.

  2. J.-S. Jung and J.-H. Han, "Facial Expression Recognition In Wild Dataset Considering Uncertainty," in 38th ICROS Annual Conference (ICROS 2023), Samcheok, Republic of Korea, Jun. 2023.

  3. J.-S. Jang, B.-J. Ku, S.-J. Eom, and J.-H. Han, "Obfuscated file malware detection by reverse obfuscation based on AutoEncoder pre-training and transfer learning," in ACK 2022 (Annual Conference of KIPS 2022), Chuncheon, Republic of Korea, Nov. 2022.

  4. H. Yoon, Y.-G. Kim, and J.-H. Han, "Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficeint Model Training," in 2021 The Korean Institute of Broadcast and Media Engineers Summer Conference, Jeju, Republic of Korea, Jun. 2021.

  5. Y. Jeong and J.-H. Han, "Comparison of Machine Learning Models for Image Classification on Composite Images," in  2021 The Korean Institute of Broadcast and Media Engineers Summer Conference, Jeju, Republic of Korea, Jun. 2021.

  6. H. Yoon and J.-H. Han, "Training and Implementation of Self-Balancing Robot with ML-Agents," in 35th Institute of Control, Robotics and Systems Annual Conference (ICROS 2020),  Sokcho, Republic of Korea, Jul. 2020.

  7. U. Gankhuyag and J.-H. Han, "Approximate 2D Image Generation from Laser 3D Point Clouds for Indoor," in 35th Institute of Control, Robotics and Systems Annual Conference (ICROS 2020),  Sokcho, Republic of Korea, Jul. 2020.

[ Domestic Patents]

• 1. 한지형, 정윤진, "객체 추천 장치, 방법 및 시스템", 등록번호: 10-2554282, 2023.07.

  2. 한지형, 윤혁, "영상 검색 장치", 등록번호: 10-2732683, 2024.11.

  3. 한지형, 응웬민뚜, "콘텐츠 기반의 이미지 내 객체 삽입 방법 및 시스템", 등록번호: 10-2838663, 2025.07.

  4. 한지형, 세바라 아미룰라에바, "멀티스케일 유사도 학습에 기반하는 신경망 모델을 이용하여 얼굴 이미지로부터 나이를 예측하는 전자 장치", 출원번호: 10-2023-0167791, 심사 진행중.

  5. 한지형, 정지수, "표정 인식 태스크를 수행하는 신경망 모델을 학습시키는 방법", 출원번호: 10-2025-0017780, 심사 진행중.