Publication

[International Conference]

• SeJoon Park, and Jihie Kim. "DAG-GCN: Directed Acyclic Casual Graph Discovery from Real World Data Using Graph convolutional Networks" International Conference on Big Data and Smart Computing (BigComp). 2023.

• JinKyu Lee, and Jihie Kim. "Improving Generation of Sentiment Commonsense by Bias Mitigation" International Conference on Big Data and Smart Computing (BigComp). 2023.

• Anita Raja, Alisa Leshchenko*, and Jihie Kim. “Leveraging Conflict to Bridge Cognitive Reasoning and Generative Algorithms" Proceedings of the 2023 AAAI Fall Symposium on Integrating Cognitive Architectures and Generative Models. Arlington, VA, USA, AAAI Press 

• Atif Latif, and Jihie Kim. "Developing a Transformer based model for Extracting Relations Between Rare Diseases and Disabilities from Documents" World Congress of the International Fuzzy System Association (IFSA). 2023.

• Sang hun Kim, Jiho Park, Zhongqun Zhang, Hyung Jin Chang, Jihie Kim, and Hyeryung Jang, "Dexterous Hand-Object Grasp Control With Prosthetic Hand" World Congress of the International Fuzzy System Association (IFSA). 2023.

• Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Peter Schaldenbrand, Jihie Kim, and Jean Oh, "Culturally-Aware Stable Diffusion: Supporting Representation with Culturally-Aware Text-to-Image Synthesis" AAAI Conference on Artificial Intelligence (AAAI) 2023 Workshop on Creative AI Across Modalities

[International Journal]

• Kyung-yeul Kim, Yaung-by Yang, Mi-ra Kim, Ji Su Park, and Jihie Kim. "MBTI personality type prediction model using WZT analysis based on CNN ensemble and GAN" HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES 13 (2023): DOI: https://doi.org/10.22967/HCIS.2023.13.014. (Impact Factor: 6.558)

• Gawon Lee, and Jihie Kim. "MTGEA: A Multimodal Two-Stream GNN Framework for Efficient Point Cloud and Skeleton Data Alignment" Sensors 23.5 (2023): 2787. DOI: 10.3390/s23052787. (Impact Factor: 3.57)

• Jinyeong Chae, and Jihie Kim. "An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis" Applied Sciences 13.15 (2023): 8671. DOI: 10.3390/app13158671. (Impact Factor: 2.7)

• Minjeong Kim,Yujung Gil, Yuyeon Kim, and Jihie Kim. "Deep-Learning-Based Scalp Image Analysis Using Limited Data" Electronics 12.6 (2023): 1380. DOI: 10.3390/electronics12061380. (Impact Factor: 2.69) 

[Domestic Conference]

• Dohyun Cha, Dawon Lee, and Jihie Kim. "A Study on Response Generation Using Dialogue Summary" KIISE Korea Computing Congress (KCC). 2023.

• Yanggyu Lee, Taewook Ham, Atif Latif, Namil Kim, and Jihie Kim. "Detecting and Analyzing Logical Errors of Programming Novice using UniXcoder" KIISE Korea Computing Congress (KCC). 2023.

• Sungmin Kang, Jaeha Song, and Jihie Kim "Deep Learning-Based Pancreas Detection and Size Monitoring with Data Augmentation for Medical Imaging Analysis"  (KSC). 2023

[International Conference]

• Junghun Kim, Yoojin An, and Jihie Kim. "Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms" Interspeech. 2022.

• Jinyeong Chae, and Jihie Kim, "Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base" International Joint Conference on Neural Networks (IJCNN). 2022.

• Junghun Kim and Jihie Kim, "CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations" International Joint Conference on Neural Networks (IJCNN). 2022.

• Junghun Kim, and Jihie Kim, "Representation Learning with Graph Neural Networks for Speech Emotion Recognition" AAAI Workshop on Graphs and More Complex Structures for Learning and Reasoning. 2022.

[International Journal]

• Hojun Lee, Hyunjun Cho, Jieun Park, Jinyeong Chae and Jihie Kim. "Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning" Sensors, 22(4), (2022), 1429. DOI: 10.3390/s22041429. (Impact Factor: 3.576)

• Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim, and Jihie Kim. 2022. "Content-Attribute Disentanglement for Generalized Zero-Shot Learning" IEEE Access. DOI: 10.1109/ACCESS.2022.3178800. (Impact Factor: 3.367)

• Jiho Park, Jaejun Yang, Sehan Park, and Jihie Kim. "Deep Learning-Based Approaches for Classifying Foraminal Stenosis Using Cervical Spine Radiographs" Electronics 12.1 (2022): 195. DOI: 10.3390/electronics12010195. (Impact Factor: 2.690)

• Gawon Lee and Jihie Kim. 2022. "Improving Human Activity Recognition for Sparse Radar Point Clouds: A Graph Neural Network Model with Pre-Trained 3D Human-Joint Coordinates" Applied Sciences, 12(4), (2022), 2168. DOI: 10.3390/app12042168. (Impact Factor: 2.679)

• Seunguook Lim, and Jihie Kim. "SAPBERT: Speaker-Aware Pretrained BERT for Emotion Recognition in Conversation" Algorithms 16.1 (2022): 8. DOI: 10.3390/a16010008. (Impact Factor: 2.36)

[Domestic Conference]

• [KCC2022 우수논문상] Sejoon Park, Kyungeun Jung, Gawon Lee, and Jihie Kim. “End-To-End Human Activity Recognition using Deep Graph Neural Networks with Data Augmentation for Sparse Radar Point Clouds data”, KIISE Korea Computer Congress (KCC). 2022. 

• [KCC2022 우수발표논문상] Yoojin An, and Jihie Kim. "Generalized Zero-Shot Learning via Similarity Module", KIISE Korea Computer Congress (KCC). 2022. 

[International Conference]

• Gawon Lee, and Jihie Kim, “Human Activity Detection using ST-GCN: Analyzing Point Cloud Data with Graph Neural Networks” International Symposium on Advanced Intelligent Systems (ISIS). 2021.

• Yeongjun Hong, and Jihie Kim "Using Contrastive Learning with Semantic Guided Neural Network for Skeleton-based Human Action Recognition" International Symposium on Advanced Intelligent Systems (ISIS). 2021.

• Jinyeong Chae, Ying Zhang, Roger Zimmermann, Dongho Kim, and Jihie Kim, "An Attention-based Deep Learning Model with Interpretable Patch-Weight Sharing for Diagnosing Cervical Dysplasia" Intelligent Systems Conference (IntelliSys). 2021.

• Jinyeong Chae, Kiyong Hong, and  Jihie Kim, "A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model-Based for Wound Area Segmentation" AAAI Conference on Artificial Intelligence (AAAI) Workshop. 2021.

[International Journal]

• Jinyeong Chae, Roger Zimmermann, Dongho Kim, and Jihie Kim. 2021. "Attentive Transfer Learning via Self-supervisedLearning for Cervical Dysplasia Diagnosis" Journal of Information Processing Systems, 17, 3, (2021), 453-461. DOI: 10.3745/JIPS.04.0214. (Impact Factor: 1.52)

[International Conference]

• Sangyeon Kim, Gawon Lee, and Jihie Kim. "Lightweight Real-time Fall Detection using Bidirectional Recurrent Neural Network" 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems (SCIS) and 20th International Symposium on Advanced Intelligent Systems (ISIS). 2020.

[Domestic Conference]

• [KSC2020 BEST PAPER] Seunguook Lim, and Jihie Kim. "RNN model for Emotion Recognition in Dialogue by incorporating the Attention on the Other’s State" The Korean Institute of Information Scientists and Engineers (KSC). 2020.

• Junghun Kim, Yoojin An,  and Jihie Kim. "A Predicting Depression among Senior Citizens using Smart-Toy Interaction Data" The Korean Institute of Information Scientists and Engineers (KIISE). 2020.

• Jinyeong Chae, Hwigeon Kim, Hangseung Yang, Seongjun Park, Dongho Kim, and Jihie Kim. "A Dual Attention Network for Skin Lesion Classification" KIISE Korea Software Congress (KSC). 2020.

• Sangyeon Kim, and Jihie Kim. "Two-Stream Fall Detection using Temporal and Spatial Contexts" The Korean Institute of Information Scientists and Engineers (KSC). 2020.

• Jinyeong Chae, Yoori Kim, and Jihie Kim. "Transfer Learning with Attention for Detection and Localization of Premature Ventricular Contraction" The 12th Annual Scientific Session of the KHRS. 2020. (poster)

• Ye Chan Jo, Seong Hwan Tak, Jong Ick Hwang, June Sup Kim, Ju Hee Lim, Hang Seung Yang, Ki Yong Hong, and Jihie Kim. "Segmentation of Pressure Ulcer Images using Deep Learning Approaches" The 10th Research & Reconstruction Forum. 2020. (poster)

• Jinyeong Chae, Sumin Lee, Yeongjun Hong, Junge Park, and Jihie Kim. "A study of the Pitch Shifting and Up-sampling Technologies for the Improving of the Learning Performance in Imbalanced Speech Data -Oriented in the Voice Analysis of Patients with Parkinson`s Disease " KIISE Korea Computer Congress (KCC). 2020.

[International Conference]

• Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, and Jihie Kim. "Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards" International Joint Conference on Neural Networks (IJCNN). 2019.

[International Journal]

• Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, and Jihie Kim. "Ensemble-based deep reinforcement learning for chatbots" Neurocomputing 366: 118-130 (2019). DOI: https://doi.org/10.1016/j.neucom.2019.08.007. (Impact Factor: 5.452)

[International Conference]

• Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, and Jaegul Choo. "MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller" Conference on Empirical Methods in Natural Language Processing (EMNLP). 2018.

• Seunghak Yu, Nilesh Kulkarni, Haejun Lee, and Jihie Kim. "On-Device Neural Language Model Based Word Prediction" International Conference on Computational Linguistics (COLING). 2018. (Demos).

• Hyungtak Choi, Siddarth K. M., Haehun Yang, Heesik Jeon, Inchul Hwang, and Jihie Kim. "Self-Learning Architecture for Natural Language Generation" Internation Natural Language Generation Conference (INLG). 2018.