Publication
2022
[KCC2022 우수논문상] Sejoon Park, Kyungeun Jung, Gawon Lee, 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 2022.
Junghun Kim, Yoojin An and Jihie Kim, "Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms ", Interspeech 2022.
[KCC2022 우수발표논문상] Yoojin An, Jihie Kim, "Generalized Zero-Shot Learning via Similarity Module", KIISE Korea Computer Congress 2022.
Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim and Jihie Kim. 2022. Content-Attribute Disentanglement for Generalized Zero-Shot Learning. IEEE Access. (Impact Factor: 3.367)
Jinyeong Chae and Jihie Kim, Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base, 2022 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, 2022 International Joint Conference on Neural Networks (IJCNN 2022)
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)
Hojun Lee, Hyunjun Cho, Jieun Park, Jinyeong Chae and Jihie Kim. 2022. 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)
Junghun Kim, 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
2021
Gawon Lee, Jihie Kim, “Human Activity Detection using ST-GCN: Analyzing Point Cloud Data with Graph Neural Networks”, International Symposium on Advanced Intelligent Systems (ISIS) 2021
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)
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, 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) 2021 Workshop
2020
[KSC2020 BEST PAPER] Seunguook Lim, 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, 2020, pp. 394-396.
Junghun Kim, Yoojin An, Jihie Kim, "A Predicting Depression among Senior Citizens using Smart-Toy Interaction Data," The Korean Institute of Information Scientists and Engineers, 2020, pp. 136-138.
Jinyeong Chae, Hwigeon Kim, Hangseung Yang, Seongjun Park, Dongho Kim, Jihie Kim, "A Dual Attention Network for Skin Lesion Classification," KIISE Korea Software Congress, 2020, pp. 460-462.
Sangyeon Kim, Jihie Kim, "Two-Stream Fall Detection using Temporal and Spatial Contexts," The Korean Institute of Information Scientists and Engineers, 2020, pp. 421-423.
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), Tokyo, Japan, 2020, pp. 279-283.
Jinyeong Chae, Yoori Kim, and Jihie Kim. "Transfer Learning with Attention for Detection and Localization of Premature Ventricular Contraction". KHRS 2020: The 12th Annual Scientific Session of the KHRS (poster), 2020.
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 (poster), Jul 24, 2020.
Jinyeong Chae, Sumin Lee, Yeongjun Hong, Junge Park, 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 2020, pp 491-493, 2020.
2019
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim: "Ensemble-based deep reinforcement learning for chatbots", Neurocomputing 366: 118-130 (2019).
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim: "Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards", IJCNN 2019: 1-8.
2018
Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo: "MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller", 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018): 2131-2140.
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim: "On-Device Neural Language Model Based Word Prediction", COLING- 2018 (Demos) 2018: 128-131.
Hyungtak Choi, Siddarth K. M., Haehun Yang, Heesik Jeon, Inchul Hwang, Jihie Kim: "Self-Learning Architecture for Natural Language Generation", INLG 2018: 165-170.