Publications

2025

Muhammad Atta ur Rahman, Dooseop Choi, Seung-Ik Lee, and KyoungWook Min. “Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models”. In: The 17th International Conference on Advanced Computational Intelligence (ICACI 2025) (Bath, United Kingdom). July 7–13, 2025. (Accepted).

Seher Kanwal, Beom-Su Seo, and Seung-Ik Lee. “Object Detection as a Diffusion Process with Label Denoising and Deformable Attention”. In: 37th Workshop on Image Processing and Image Understanding (IPIU2025) (Jeju, Korea). Feb. 5–7, 2025.

2024

Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, and Seung-Ik Lee. “Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos”. In: IEEE Transactions on Neural Networks and Learning Systems 35.10 (Oct. 8, 2024), pp. 14085–14098. doi: https://doi.org/10.1109/TNNLS.2023.3274611. (ISSN=2162-237X), (IF=14.255(2021).

Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada, and Seung-Ik Lee. “Exploiting Autoencoder’s Weakness to Generate Pseudo Anomalies”. In: Neural Comput & Applic (May 3, 2024). doi:https://doi.org/10.1007/s00521- 024-09790-z.

2023

Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, and Seung-Ik Lee. “Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos”. In:IEEE Transactions on Neural Networks and Learning Systems (2023). doi:https://doi.org/10.1109/TNNLS.2023.3274611. (In press. IF=14.255(2021)).

Seung-Min Choi, Seung-Ik Lee, Jae-Yeong Lee, and In So Kweon. “Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition”. In: Pattern Recognition 141 (Sept. 2023). doi: https://doi.org/10.1016/j.patcog.2023.109645. (IF=8.518(2021)).

Marcella Astrid, Muhammad Zaigham Zahee, and Seung-Ik Lee. “PseudoBound: Limiting the Anomaly Reconstruction Capability of One-Class Classifiers Using Pseudo Anomalies”. In: Neurocomputing 534 (May 14, 2023), pp. 147–160. doi: https://doi.org/https://doi.org/10.1016/j.neucom.2023.03.008. (IF=5.779(2021)).

Marcella Astrid and Seung-Ik Lee. “Assembling Three One-Camera Images for Three-Camera Intersection Classification”. In: ETRI Journal (Oct. 29, 2023). doi: https://doi.org/10.4218/etrij.2023-0100.

Hyeon-Jae Jeong, Jubin Lee, Yu Seung Ma, and Seung-Ik Lee. “Attack Success Rate Analysis of Adversarial Patch in Physical Environment”. In: Journal of KIISE 50.2 (Feb. 2023), pp. 185–195. doi: https://doi.org/https://doi.org/10.5626/JOK.2023.50.2.185.

Marcella Astrid, Minsu Jang, and Seung-Ik Lee. “Improving discriminative capability of anomaly detector using pseudo anomalies and triplet loss”. In: KICS Winter Conference 2023 (KICS 2023) (Yong Pyong Resort, Pyeongchang, Korea). Feb. 8–10, 2023.

Assefa Seyoum Wahd, Marcella Astrid, and Seung-Ik Lee. “Low-Likelihovod EBM Samples for Out-of-Distribution Detection”. In: 35th Workshop on Image Processing and Image Understanding (IPIU 2023) (Jeju, Korea). Feb. 8–10, 2023.

2022

Marcella Astrid and Seung-Ik Lee. “Using Pseudo Anomalies to Train a Binary Classifier for Anomaly Detection”. In: Korea Software Congress 2022 (KSC 2022) (Ramada Plaza Hotel, Jeju, Korea). Dec. 20–23, 2022, pp. 818–820. [link]

Assefa Seyoum Wahd, Donghyung Kim, and Seung-Ik Lee. “Cable Instance Segmentation with Synthetic Data Generation”. In: The 21st International Conference on Control, Automation and Systems (ICCAS 2022) (Bexco, Pusan, Korea). Nov. 27– Dec. 1, 2022, pp. 1533–1538. [link]

Marcella Astrid and Seung-Ik Lee. “Constructing Three-Camera Data with OneCamera Data for Intersection Detection”. In: Conference on Information and Control Systems (CICS22 Workshop) (PyeongChang, Korea). Oct. 19–22, 2022, pp. 26–27. 

Namkyoo Kang, Seungeun Han, Seung Yeon Kim, SeungJoon Kwon, Yeongjae Choi, Yong-Tae Lee, and Seung-Ik Lee. “Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size”. In: The 13th International Conference on Information and Communication Technology Convergence (ICTC 2022) (Ramada Plaza Hotel, Jeju, Korea). Oct. 19–21, 2022, pp. 425–428.

Marcella Astrid and Seung-Ik Lee. “The Comparisons of Boundary Data Generation for Semi-Supervised Learning in Image Classification”. In: 3rd Korea Artificial Intelligence Conference (Jeju, Korea). Sept. 28–30, 2022.

Muhammad Zaigham Zaheer, Jin-Ha Lee, Arif Mahmood, Marcella Astrid, and Seung-Ik Lee. “Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies”. In: IEEE Transactions on Image Processing 31 (Sept. 12, 2022), pp. 5963–5975. doi: https://doi.org/10.1109/TIP.2022.3204217. (IF=11.041(2021)).

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. "Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies". In: The 19th International Conference on Ubiquitous Robots (UR 2022) (Jeju, Korea). July 4-6, 2022. [link]

Marcella Astrid and Seung-Ik Lee. “Utilizing One-Camera Data for Three-Camera Intersection Classification”. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). June 19–24, 2022. (unpublished version).

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “Improving Anomaly Detection Model Using Prior Knowledge”. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). June 19–24, 2022. (unpublished version).

Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, and Seung-Ik Lee. “Generative cooperative learning for unsupervised video anomaly detection”. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Louisiana, USA). June 19–24, 2022, pp. 14744–14754. (h-5 index(2020): 299).

Marcella Astrid and Seung-Ik Lee. “Generalizing Skipping Frame Pseudo Anomaly Based Anomaly Detection Into Prediction Task”. In: THE 32nd JOINT CONFERENCE ON COMMUNICATIONS AND INFORMATION (Sokcho, Korea). Apr. 27–29, 2022. [link]

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “Semi-Supervised Learning Using Data Between Real and Noise”. In: KICS Winter Conference 2022 (KICS 2022)  (PyeongChang, Korea). Feb. 9–11, 2022, pp. 545–546. [link] 

2021

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “The Comparisons of Different Base Networks for Pedestrian-View Intersection Classification”. In: Korea Software Congress 2021 (KSC 2021) (PyeongChang, Korea). Dec. 20–22, 2021, pp. 685–687.  [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, and Seung-Ik Lee. “Learning Not to Reconstruct Anomalies”. In: British Machine Vision Conference 2021(BMVC2021) (Virtual). Nov. 22–25, 2021. [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “Comparisons of Domain-Removal Losses in Multi-Domain Pedestrian-View Intersection Classification”. In: 2nd Korea Artificial Intelligence Conference (Jeju, Korea). Sept. 29–Oct. 1, 2021, pp. 349–350.  [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, and Seung-Ik Lee. “Domain-Robust Pedestrian-View Intersection Classification”. In: The 12th International Conference on Information and Communication Technology Convergence (ICTC 2021) (Ramada Plaza Hotel, Jeju, Korea). Oct. 20–22, 2021. [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “Intra-Batch Features Separation for Indoor and Outdoor Pedestrian-View Intersection Classification”. In: 2021 The 21st International Conference on Control, Automation and Systems (ICCAS 2021) (Ramada Plaza Hotel, Jeju, Korea). Oct. 12–15, 2021. [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection”. In: International Conference on Computer Vision (ICCV 2021) Workshop (Virtual). Oct. 11–17, 2021. [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. “The Importance of ImageNet-Pretrained Network on Pedestrian-View Intersection Classification”. In: 2021 The Institute of Electronics and Information Engineers Summer Conference (IEIE2021) (Jeju, Korea). June 30–July 2, 2021, pp. 1565–1568. [Link]

Mustansar Fiaza, Muhammad Zaigham Zaheer, Arif Mahmood, Seung-Ik Lee, and Soon Ki Jung. “4G-VOS: Video Object Segmentation using guided context embedding”. In: Knowledge-Based Systems 231.14 (Nov. 14, 2021). doi: https://doi.org/10.1016/j.knosys.2021.107401. (IF=8.139 (2021))).

Seung-Ik Lee, Jinha Lee, Marcella Astrid, and Muhammad Zaigham Zaheer. “Fighting Against Data Deficiency Problems for Surveillance”. In: 2021 The 21st International Conference on Control, Automation and Systems (ICCAS 2021) Workshop (Ramada Plaza Hotel, Jeju, Korea). Oct. 12–15, 2021. [Link]

Yoo-Kyung Lee, Dong-Hwan Lee, Jae-Hun Choi, Jang-Hee Yoo, and Seung-Ik Lee. “Does Identity Mapping Really Help in ResNet?” In: The 12th International Conference on Information and Communication Technology Convergence (ICTC 2021) (Ramada Plaza Hotel, Jeju, Korea). Oct. 20–22, 2021. [Link]

Yohan Lim, Namhyeong Kim, Sanghun Kim, and Seung-Ik Lee. “A Preliminary Study of Wav2Vec 2.0 Embeddings for Text-to-Speech”. In: The 12th International Conference on Information and Communication Technology Convergence (ICTC 2021) (Ramada Plaza Hotel, Jeju, Korea). Oct. 20–22, 2021. [Link]

Muhammad Zaigham Zaheer, Marcella Astrid, and Seung-Ik Lee. “A Simple and Efficient Background Separation Method for Stationary Camera Based Videos”. In: 2021 The Institute of Electronics and Information Engineers Summer Conference (IEIE2021) (Jeju, Korea). June 30–July 2, 2021, pp. 1625–1627. [Link]

Muhammad Zaigham Zaheer, Marcella Astrid, and Seung-Ik Lee. “Detecting Change to Quantify Anomalies for Robust Outdoor Surveillance”. In: 2021 The 21st International Conference on Control, Automation and Systems (ICCAS 2021) Workshop (Ramada Plaza Hotel, Jeju, Korea). Oct. 12–15, 2021. [Link]

Muhammad Zaigham Zaheer, Marcella Astrid, and Seung-Ik Lee. “The Effects of Randomizing Input Feature Vectors When Training Video Based Learning Models”. In: Korea Computer Congress 2021 (KCC 2021) (Jeju, Korea). June 23–25, 2021, pp. 654–656. [Link]

Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Haris Khan, and Seung-Ik Lee. “An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration”. In: International Conference on Computer Vision (ICCV 2021) Workshop (Virtual). Oct. 11–17, 2021. [Link]

Jin-ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee. "Deep visual anomaly detection with negative learning". In: The 27th International Workshop on Frontiers of Computer Vision (IWFCV 2021) (On-line). Feb. 22-23, 2021. [Link]

Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, and Seung-Ik Lee. "Small object detection using context and attention". In: International Conference on Artificial Intelligence in Information Communication (ICAIIC 2021) (Jeju, Korea). Apr. 13-16, 2021, pp. 181-186. [Link]

2020

Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, and Seung-Ik Lee. "Old is Gold: Redening the adversarially learned one-class classier training paradigm". In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (On-line). June 14-19, 2020, pp. 14183-14193. (h-5 index(2020): 299). [Link]

Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, and Seung-Ik Lee. "CLAWS: Clustering assisted weakly supervised learning with normalcy suppression for anomalous event detection". In: European Conference on Computer Vision (ECCV) (On-line). Aug. 23-28, 2020, pp. 4489-4497. (h-5 index(2020): 176).  [Link]

Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, and Seung-Ik Lee. “A self-reasoning framework for anomaly detection using video-level labels”. In: IEEE SIGNAL PROCESSING LETTERS 27 (Sept. 23, 2020), pp. 1705–1709. (IF=4.18(2019)).

 Jin-ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, and Seung-Ik Lee. "SmoothMix: A simple yet effective data augmentation to train robust classiers". In: IEEE Conference on Computer Vision and Pattern Recognition Workshop on Deep Vision (CVPRW) (On-line). June 14-19, 2020. (h-5 index(2020): 299). [Link]

Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, Arif Mahmood, and Seung-Ik Lee. "Cleaning label noise with clusters for minimally supervised anomaly detection". In: IEEE Conference on Computer Vision and Pattern Recognition Workshops(CVPRW) (On-line). June 14-19, 2020. (h-5 index(2020): 299). (Presented, not published) [Link]

Marcella Astrid, Jin-Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, and Seung-Ik Lee. "For safer navigation: Pedestrian-view intersection classification". In: International Conference on ICT Convergence (ICTC) (Jeju, Korea). Oct. 21-23, 2020. [Link]

Marcella Astrid, Muhammad Zaigham Zaheer, Jin-Ha Lee, Jae-Yeong Lee, and Seung-Ik Lee. "What do pedestrians see?: Visualizing pedestrian-view intersection classification". In: International Conference on Control, Automation and Systems (ICCAS) (Online). Oct. 13-16, 2020, pp. 769-773. [Link]

Yejin Lee, Kyekyung Kim, Jaehong Kim, and Seung-Ik Lee. \Infant abnormal behavior classification through weakly supervised learning". In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop (On-demand). Oct. 25-Nov. 25, 2020, pp. 12128-12121. [Link]

Hyeon Joong Wi, Joon Gyu Maeng, Dong Hun Yang, In Sung Jang, Seung-Ik Lee, and Sang Gi Hong. "Map aerial photography inpainting for missing error using AutoEncoder". In: International Conference on ICT Convergence (ICTC) (Jeju, Korea). Oct. 21-23, 2020. [Link]

2019

Jin Ha Lee, Ik Hee Shin, Sang Gu Jeong, Seung-Ik Lee, and Muhammad Zaigham Zaheer. "Improvement in deep networks for optimization Using eXplainable articial intelligence". In: International Conference on ICT Convergence (ICTC) (Jeju, Korea). Oct. 16-18, 2019. [Link]

Muhammad Zaigham Zaheer, Jin Ha Lee, Seung-Ik Lee, and Beom-Su Seo. "A brief survey on contemporary methods for anomaly detection in videos". In: International Conference on ICT Convergence (ICTC) (Jeju, Korea). Oct. 16-18, 2019. [Link]

이윤석, 박성윤, 김원식, 이승익, 신호철 and 이재영. "프리셋 적용 여부에 따른 강화 학습 기반 자율주행 기법의 성능 비교". In: Image Processing and Image Understanding (IPIU) (Jeju, Korea). Feb 13-15, 2019. [Link]

2018

Marcella Astrid and Seung-Ik Lee. "Deep compression of convolutional neural networks with low-rank approximation". In: ETRI Journal 40.4 (Aug. 2018), pp. 421-434. [Link]

Marcella Astrid, Seung-Ik Lee, and Bum-Su Seo. "Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization". In: International Conference on Advanced Communication Technology (ICACT) (PyeongChang, Korea). Feb. 11-14, 2018, pp. 347-350. [Link]

Marcella Astrid, Seung-Ik Lee, and Bum-Su Seo. "Speeding-up multiple object tracking by frame skipping". In: Korea Computer Congress (KCC) (Jeju, Korea). June 20-22, 2018, pp. 864-866. [Link]

Hwa-Yeon Kim, Jinsu Lee, Ny Young Yeo, Marcella Astrid, Seung-Ik Lee, and Young-Kil Kim. "CNN based sentence classication with semantic features using word clustering". In: International Conference on ICT Convergence (ICTC) (Jeju, Korea). Oct. 17-19, 2018. [Link]

Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee, and Ho Chul Shin. "Ensemble grid formation to detect potential anomalous regions using context encoders". In: International Conference on Control, Automation and Systems (ICCAS) (PyeongChang, Korea). Oct. 17-20, 2018. [Link]

~ 2017

Marcella Astrid and Seung-Ik Lee. "Cp-decomposition with tensor power method for convolutional neural networks compression". In: IEEE International Conference on Big Data and Smart Computing (BigComp) (Jeju, Korea). Feb. 13-16, 2017, pp. 115-118.  [Link]

Marcella Astrid and Seung-Ik Lee. Compression of deep neural networks using CP decomposition and greedy optimization". In: 한국정보과학회 학술발표논문집 (PyeongChang, Korea). Dec. 21-23, 2016, pp. 540-542.

Seungwoog Jung, Seung-Ik Lee, and Su-Young Chi. "POI estimation method with incremental update based on smartphones". In: International Conference on Big Data Applications and Services (BigDAS) (Jeju, Korea). Oct. 20-23, 2015, pp. 104-110.  [Link]

Seungwoog Jung, Seung-Ik Lee, Su-Young Chi, and Hoon Choi. "Personal cloud server framework for smartphone based lifelog management and analysis". In: International Conference on Green and Human Information Technology (ICGHIT) (Da Nang, Vietnam). Feb. 4-6, 2015, pp. 58-61. [Link]

Seung-Ik Lee, SeungWoog Jung, and Su-Young Chi. "Batch-based locational data processing for extracting user trajectories from raw locational data". In: 한국정보과학회 학술발표논문집 (PyeongChang, Korea). Dec. 17-19, 2015, pp. 312-314. 

Seung-Ik Lee, Seungwoog Jung, and Su-Young Chi. "Structuring mobile user context based on spatio-temporal information". In: International Conference on Big Data Applications and Services (BigDAS) (Jeju, Korea). Oct. 20-23, 2015, pp. 259-263. [Link]

Seung-Ik Lee and Yun Kyung Park. "Modelling user situations with smartphones". In: International Conference on Advanced Communication Technology (ICACT). 2014. [Link]

Seung-Woog Jung, Seung-Ik Lee, and Su-Young Chi. "Study on place recommendation system based on personal bigdata". In:  한국빅데이터서비스학회 하계학술대회 논문집. 2014, pp. 193-195.

Seung-Ik Lee, Seung-Woog Jung, Rok-Won Kim, and Su-Young Chi. "Smartphone based personal big data extraction model for personal characteristics mining". In: 한국빅데티어서비스학회 하계학술대회 논문집. 2014, pp. 204-206.

Rockwon Kim, Seung-Ik Lee, Sung-Hoon Kim, "Concurrency and Synchronization in Hierarchical Finite State Machine," 제어로봇시스템학회 국내학술대회 논문집, , pp. 91~92, 2012.

Joono Cheong, Youngsu Cho, Seung-Ik Lee, "Invariant slow manifold approach for exact dynamic inversion of singularly perturbed linear mechanical systems with admissible output constraints," Journal of Sound and Vibration, Volume 331, Issue 16, 30 July 2012, Pages 3710-3720. 

Seung-Ik Lee, Rockwon Kim, In-Hak Joo, Yoon-Kyung Park, "Personal Experience Modeling in Mobile Smart Phones," 제어로봇시스템학회 각 지부별 자료집, pp. 183~186, 2012.

Hyungsik Kim, Joono Cheong, Seung-Ik Lee, and Joongbae Kim. Task-oriented synchronous error monitoring framework in robotic manufacturing process. In Automation Science and Engineering (CASE), 2012 IEEE International Conference on (pp. 485-490).

Taw-Woo Kim, Seung-Ik Lee, Rockwon Kim, and Sunghoo Kim. An experience of the OPRoS component based programming through the implementation of DARwIn robot soccer. In Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on (pp. 308-309). 

Dong-Bum Kim, Chang-Eun Lee, Hyun-Ja Lim, Young-Jo Jo, Sung-Hoon Kim, Seung-Ik Lee, "Hierarchical Routing Protocol for Swarm Intelligence Environment, " 제6회 한국로봇종합학술대회, pp. 317-319, 2011.

Dong-Bum Kim, Chang-Eun Lee, Hyun-Ja Im, Seung-Ik Lee, Young-Jo Cho, and Sung-Hoon Kim. Network management in collective intelligent robotic environment. In Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on (pp. 184-187). 

Dong-Bum Kim, and Seung-Ik Lee. "A new hybrid routing algorithm: GHR (Group Hierarchical Routing)." ICT Convergence (ICTC), 2011 International Conference on. IEEE, 2011.(내논문.2011_ICTC2011_A new hybrid routing algorithm.pdf)

Seung-Ik Lee, Rockwon Kim, Sung-Hoon Kim, "Robot Plug-in Framework," 제어로봇시스템학회 국내학술대회 논문집, pp. 252~253, 2010.

Choulsoo Jang, Seung-Ik Lee, Seung-Woog Jung, Byoungyoul Song, Rockwon Kim, Sunghoo Kim, and Cheol-Hoon Lee. "OPRoS: A New Component‐Based Robot Software Platform". ETRI journal, 32.5, 2010, 646-656.

Seung-Ik Lee, Rockwon Kim, JunYung Sung, Sung-Hoon Kim, "A dynamic, modularized plugin programming for robots, " The 6th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2009).

Seung-Woog Jung, Seung-Ik Lee, and Sung-Hoon Kim. "RUPI 클라이언트 통합 소프트웨어 플랫폼에 대한 연구동향 및 현황". The Journal of The Korean Institute of Communication Sciences 25.4 (2008), pp. 22-29.

Seung-Woog Jung, Seung-Ik Lee, and Sung-Hoon Kim. \The Study on Robot Software Platform for Network Robots". In: Communications of the Korean Institute of Information Scientists and Engineers 26.4 (2008), pp. 38-48.

Rockwon Kim, Seung-Ik Lee, SungHun Kim, "Robot Task Middleware Support for RUPI, " 제3회 한국지능로봇 종합 학술대회, 2008.

Seung-Woog Jung, Seung-Ik Lee and Sung-Hoon Kim, 2008, "Implementation of Robot Client Platform for OPRoS," 대한전자공학회 학술대회, , pp. 1115~1116.

Seung-Ik Lee and Sung-Bae Cho, "Observational emergence in evolutionary fuzzy robotics," Int. J. Modelling, Identification and Control, Vol. 3, No. 1, pp. 88-96, 2008.

Seung-Ik Lee, Cheol-Soo Jang, Myung-Chan Roh, Beom-Soo Seo, Sung-Hoon Kim, "URC 홈 서비스 로봇의 이슈와 구현," 제2회 한국지능로봇 하계종합 학술대회 논문집, pp. 354-361, 2007. 

Seung-Ik Lee, Beom-Soo Seo, Joong-Bae Kim, "Control Architecture and Ubiquitous Environment for Intelligent Service Robots," Electronics and Telecommunications Trends, Vol. 22, No. 2, 2007.

Seung-Ik Lee, Choul Soo Jang, Sung Hoon Kim, Myung Chan Roh, and Beom-Su Seo. "Issues and Implementation of a URC Home Service Robot". In: IEEE International Symposium on Robot and Human interactive Communication (RO-MAN). 2007, pp. 570-575.

Seung-Ik Lee, Gunn-Yong Park, and Joong-Bae Kim. "Natural emotion expression of a robot based on reinforcer intensity and contingency." Robotics and Automation, 2007 IEEE International Conference on. 

Park, Gunn-Yong, Lee, Seung-Ik, Kim, Joong-Bae, "Robot Affective System Based on Neuroscience," 제1회 한국지능로봇 하계종합 학술대회 논문집, pp. 475-480. 2006.

Sung-hoon Kim, Seung-ik Lee, Seung-wook Jung, Chul-soo Jang and Joong-Bae Kim, 2006, "uFlow: Robot Task Modeling Architecture for Home Service Robot," 대한전자공학회 학술대회, , pp. 993~994.

Gunn-Yong Park, Seung-Ik Lee, Joong-Bae Kim, "A Neuroscientific Approach to Emotion System for Intelligent Agents," International Conference on Embedded and Ubiquitous Computing (EUC) 2006 (LNCS 4096), v.4096, pp.997-1006.

Gunn-Yong Park, Seung-Ik Lee, Woo-Young Kwon, and Joong-Bae Kim. Neurocognitive affective system for an emotive robot. In Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on (pp. 2595-2600). 

Seung-Ik Lee, Ivan Tanev and Katsunori Shimohara, 2005, "XML - based Portable Self - containing Representation of Strongly - typed Genetic Program," Journal of KISS : Software and Applications, Vol. 32, No. 4, pp. 277~289.

Seung-Ik Lee, Cheol-Soo Jang, Seung-Wook Jung, Joong-Bae Kim, "Research Trends and Status of Robot Software Architecture," Electronics and Telecommunications Trends, Vol. 20, No. 2, pp. 1-12, 2005. 

Gunn-Yong Park, Seung-Ik Lee, "Emotion Coordination Model for Autonomous Robot," The 2nd International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 309-312, 2005. 

Seung-Ik Lee, Woo Young Kwon, Do-Hyung Kim, Joong Bae Kim, "Common Robot Interface Framework for Device Abstraction," The 2nd International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 105-109, 2005. 

Seung-Ik Lee, Beom-Su Seo, Choul-Soo Jang, Sung-Hoon Kim, Myung-Chan Roh, "A distributed modular and portable architecture for ubiquitous robots, " The 1st International Conference on Ubiquitous Robots and Ambient Intelligence , pp. 383-385, 2004. 

Seung-Ik Lee and Sung-Bae Cho, “A quantitative analysis of evolvability for an evolutionary fuzzy logic controller,” Integrated Computer-Aided Engineering, Vol. 10, No. 4, pp. 369-385, 2003.

Seung-Ik Lee, and Sung-Bae Cho. "Measuring evolvability in evolutionary fuzzy robotics." Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on. Vol. 1. IEEE, 2002.

Seung-Ik Lee, Joon-Hyun Ahn, and Sung-Bae Cho. "Exploiting diversity of neural ensembles with speciated evolution." Neural Networks, 2001. Proceedings. IJCNN'01. International Joint Conference on. Vol. 2. IEEE, 2001.

Seung-Ik Lee and Sung-Bae Cho, "Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm," IEEE Transactions on System, Man, and Cybernetics : Part B, vol. 31, no. 6, pp. 919-929, Dec. 2001.

Seung-Ik Lee and Sung-Bae Cho. "A conversational agent based on structured pattern matching". 한국정보과학회 학술대회. 2001, pp. 409-411.

Chun Sung, Seung-Ik Lee, and Sung-Bae Cho. "User modeling based on Bayesian network for effective conversational agent". 한국정보과하학회 학술대회. 2001, pp. 256-258.

Lee, Seung-Ik, and Sung-Bae Cho. "Observational emergence of a fuzzy controller evolved by genetic algorithm." Evolutionary Computation, 2001. Proceedings of the 2001 Congress on. Vol. 2. IEEE, 2001.

Lee, Seung-Ik, and Sung-Bae Cho. "An intelligent agent with structured pattern matching for a virtual representative." Intelligent Agent Technology: Research and Development. 2001. 305-309.

Seung-Ik Lee, Sung-Bae Cho, "An effective conversational agent with user modeling based on Bayesian network," Lecture Notes in Computer Science, vol. 2198, pp 428-432, 2001.

Seung-Ik Lee and Sung-Bae Cho. "Development of an integrated EDI document generation". 정보과학회 논문지: 컴퓨팅의 실제 6.3 (2000), pp. 339-347.

Seung-Ik Lee and Sung-Bae Cho, "An empirical analysis of evolutionary fuzzy system for mobile robot control,", Journal of Korean Institute of Intelligent Systems 8(4), 1998.8, 36-42.

Sung-Bae Cho and Seung-Ik Lee. "Adaptive behavior of fuzzy system optimized by genetic algorithm," Proceedings of the International Conference on Evolutionary Computation(ICEC '98), pp. 376-380, 1998.

Sung-Bae Cho and Seung-Ik Lee. "Behavior analysis of genetic fuzzy controller for an autonomous robot," Int. Journal of Control & Cybernetics, vol. 27, no. 4, pp. 579-591, 1998.

Sung-Bae Cho and Seung-Ik Lee.  "Mobile robot learning by evolution of fuzzy controller," Journal of Intelligent & Fuzzy Systems, vol. 6, no. 1, pp. 91-97, 1998.

Sung-Bae Cho and Seung-Ik Lee.  "Hybrid evolutionary learning of fuzzy logic and genetic algorithm," Lecture Notes in Artificial Intelligence, vol. 1285, Springer-Verlag, pp. 206-215, 1997.

Sung-Bae Cho and Seung-Ik Lee. "Analysis of evolutionary fuzzy controller for a mobile robot," Proceedings of ICONIP'97, pp. 440-443, 1997.

Sung-Bae Cho and Seung-Ik Lee. "A fuzzy-GA hybrid for evolutionary learning," Proceedings of the First Asia-Pacific Conference on Simulated Evolution and Learning, pp. 98-105, 1996.

Sung-Bae Cho and Seung-Ik Lee. "Evolutionary learning of fuzzy controller for a mobile robot," Proceedings of the International Conference on Soft Computing, pp. 745-748, 1996.

Seung-Ik Lee and Sung-Bae Cho, 1996, "An Evolutionary Fuzzy System for Behavior-based Robot Control," 한국지능시스템학회 학술발표 논문집, Vol. 6, No. 1, pp. 251~254.