Program Overview
Program at a Glance (TBC) KST (UTC+09:00)
Detailed Conference Program
Presentation time: 25 min (incl. 5 min Q&A) for both Regular paper and Short paper
Main Conference Day 1: January 18 (Tuesday), 2022
08:30 - 09:00, January 18 (Tuesday), 2022
Chair: JooYeoun Lee, Ajou University, Korea
- Welcome message
Young-Kuk Kim (General Co-chair, Chungnam National University, Korea)
- Opening address
Herwig Unger (Univ. of Hagen, Germany)
09:00 – 10:15, January 18 (Tuesday), 2022
Chair: Wook-Shin Han, Postech, Korea
- Re-configuring data practices for Intelligent, Reliable and Responsible decision-making systems
Timos Sellis, META & Swinburne University of Technology
10:30 – 12:15, January 18 (Tuesday), 2022
- Machine Learning on Graphs
Chang Young Park, KAIST, Korea
Session 1: Big Data Application
10:30 – 12:15, January 18 (Tuesday), 2022
Chair: Jinwei Liu, Florida A&M University, USA
- Optimizing performance of Real-Time Big Data stateful streaming applications on Cloud [short]
Amit Gupta and Sushant Jain (Hughes Systique, India)
- Structural Features of Public Bicycle Transportation Networks over Times of the Day: The Case of Seoul Public Bicycle [short]
Il-Jung Seo and Jaehee Cho (Kyonggi University, Korea)
- Reducing Hadoop 3.x energy consumption through Energy Efficient Ethernet [regular]
Jorgi Luiz Bolonhezi Dias, Leandro Batista De Almeida and Luiz Carlos Pessoa Albini (Federal University of Parana, Brazil)
- Fregata: A Low-Latency and Resource-Efficient Scheduling for Heterogeneous Jobs in Clouds [regular]
Jinwei Liu (Florida A&M University, USA)
13:15 – 15:00, January 18 (Tuesday), 2022
- Multi-resolution Graph Analysis for Graphical Model Selection and Graph Classification
Won Hwa Kim, POSTECH, Korea
Session 2: Machine Learning I
13:15 – 15:00, January 18 (Tuesday), 2022
Chair: Young-Koo Lee, Kyung Hee University, Korea
- Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models [short]
Hamed Jalali and Gjergji Kasneci (University of Tuebingen, Germany)
- Semi-supervised network regression with Gaussian Process [short]
Myungjun Kim, Dong-gi Lee and Hyunjung Shin (Ajou University, Korea)
- Canopy–K-means Combined Collaborative Filtering Using RMSE-minimization [short]
Sao-I Kuan, Jongmin Kim, Oh-Heum Kwon and Ha-Joo Song (Pukyong National University, Korea)
- Border K-Means Clustering Algorithm for One Dimensional Data [short]
Ryan Froese, James Klassen, Carson Leung and Tyler Loewen (University of Manitoba, Canada)
Session 3A: Machine Learning II
15:15 – 17:00, January 18 (Tuesday), 2022
Chair: Neha Bharill, Mahindra University Hyderabad, India
- Cross-Attention Model for Multi-modal Bio-Signal Processing [short]
Heesoo Son, Sangseok Lee and Sael Lee (Ajou University, Korea)
- Distributed Classification Model of Streaming Tweets based on Dynamic Model Update [regular]
Min-Seon Kim and Hyuk-Yoon Kwon (Seoul National University of Science and Technology, Korea)
- A Greedy Algorithm for Generating Malware Signatures Based on Association [short]
Woo-Jin Joe and Hyong-Shik Kim (Chungnam National University, Korea)
- A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm [short]
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith and Soundarya Lahari Solasa (Mahindra University Hyderabad, India)
Session 3B: Machine Learning III
15:15 – 17:00, January 18 (Tuesday), 2022
Chair: Ahmet Tugrul Bayrak, Huawei Technologies, Turkey
- Analysis of the relationship between regulation and R&D efficiency using quantile regression [short]
Moonju Nam, Jooyeoun Lee, Kukjin Jang and Dasran Kim (Ajou University, Korea)
- Spread Movement Prediction for Pairs Trading with High-Frequency Limit Order Data [regular]
Chiu-Hung Su, Hsu-Chao Lai, Wen-Yueh Shih, Jun-Zhe Wang and Jiun-Long Huang (National Yang Ming Chiao Tung University, Taiwan)
- Predicting the Patterns of Technology Convergence in Defense Technologies [short]
Kyung-Soo Kim and Nam-Wook Cho (Wips Co., Korea)
- Earthquake patterns identification based on network centrality measurements and earthquake type [regular]
Yanti Rusmawati (Institut Teknologi Bandung, Indonesia)
17:15 – 19:00, January 18 (Tuesday), 2022
Chair: Arousha Haghighian Roudsari, Inha University, Korea
- Learning without Lazy Weights [regular]
Dong-gi Lee, Junhee Cho, Myungjun Kim, Sunghong Park and Hyunjung Shin (Ajou University, Korea)
- DNN based Speaker Meta Information Estimation using Privacy-Preserving Speech Data [short]
Kwangje Baeg, Youngsub Han and Byoung-Ki Jeon (LG Uplus Inc., Korea)
- Federated Learning convergence on IID features via optimized local model parameters [short]
Shan Ullah and Deok-Hwan Kim (Inha University, Korea)
- A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction [regular]
Nursultan Makhanov, Nguyen Anh Tu and Kok-Seng Wong (Vin University, Vietnam)
17:15 – 19:00, January 18 (Tuesday), 2022
Chair: Lee Sael, Ajou University, Korea
- Subgraph Matching on Multiple Graph Streams [short]
Thi Thu Van Duong, Dolgorsuren Batjargal and Young Koo Lee (Kyung Hee University, Korea)
- Graph Neural Networks with Stability and Discernability [regular]
Jong Ho Jhee and Hyunjung Shin (Ajou University, Korea)
- Benchmarking Deep Graph Models for Large Molecular Generation [regular]
Jinjun Park and Sael Lee (Ajou University, Korea)
- Visualization Method for the Spreading Curve of COVID-19 in Universities using GNN [regular]
Huaze Xie, Da Li, Yuanyuan Wang and Yukiko Kawai (Kyoto Sangyo University, Japan)
Main Conference Day 2: January 19 (Wednesday), 2022
09:15 – 10:30, January 19 (Wednesday), 2022
Chair: Se-Young Yun, KAIST, Korea
- Trusted Database Technology: A Foundation for Enabling Digital Trust
Beng Chin Ooi, National University of Singapore
11:00 – 12:15, January 19 (Wednesday), 2022
Chair: Steven Euijong Whang, KAIST, Korea
- Data-centric approaches for Trustworthy AI
Panelists: Tok Wang Ling (NUS, Singapore)
Carson Leung (Univ. Manitoba, Canada)
Neha Bharill (Mahindra Univ., India)
Won Hwa Kim (POSTECH)
Giltae Song (Pusan National Univ.)
13:15 – 15:00, January 19 (Wednesday), 2022
Chair: Carson Leung, University of Manitoba, Canada
- Mining Evolving Spatial Co-location Patterns from Spatio-temporal Databases [regular]
Yunqiang Ma ,Junli Lu and Dazhi Yang (Southwest Forestry University, China)
- Pattern Recognition Search: An Advancement Over Interpolation Search [short]
Shahpar Yilmaz, Yasir Nadeem and Syed A. Mehdi (India)
- Mining Co-location Patterns in Incremental Spatial Database [regular]
Ye-In Chang, Chen-Chang Wu and Ching-Yi Yen (Dept. of Computer Science and Engineering, Taiwan)
- An Efficient Distributed Spatiotemporal Index for Parallel Top-k Frequent Terms Query [regular]
Hong Van Le and Atsuhiro Takasu (National Institute of Informatics, Japan)
13:15 – 15:00, January 19 (Wednesday), 2022
Chair: Md Golam Morshed, Kyung Hee University, Korea
- Sparsity-Aware Reachability Computation for Massive Graphs [short]
Sung-Soo Kim, Young-Min Kang and Young-Kuk Kim (ETRI, Korea)
- A Datasets Model for Knowledge Discovery [short]
Yun-Young Hwang, Su-Mi Shin, Jin-Hee Yuk and Youngsoo Moon (KISTI, Korea)
- Stable Low Latency Logging for Epoch-based In-memory Database [short]
Masahiro Tanaka and Hideyuki Kawashima (Keio University, Japan)
- TPC-C Benchmarking for ElasticSearch [short]
Jaekyu Lee and Hyuk-Yoon Kwon (Seoul National University of Science and Technology, Korea)
Session 6A: Natural Language Processing
15:15 – 17:00, January 19 (Wednesday), 2022
Chair: Hiroaki Ohshima, University of Hyogo, Japan
- Sequential Alignment Methods for Ensemble Part-of-Speech Tagging [regular]
Jeesu Jung and Sangkeun Jung (Chungnam National University, Korea)
- Drug Repositioning with Disease–Drug Clusters from Word Representations [regular]
Dong-gi Lee, Myungjun Kim and Hyunjung Shin (Ajou University, Korea)
- Literature Representation using Character Networks based on Sentiment Analysis [short]
Myeonggeon Park, Sunghong Park and Hyunjung Shin (Ajou University, Korea)
- Author Verification Model Using Random Walk Features from Chat Messages [regular]
Da Young Lee and Cho Hwan Gue (Pusan National University, Korea)
Session 6B: Image Processing I
15:15 – 17:00, January 19 (Wednesday), 2022
Chair: Young-Seob Jeong, Chungbuk National University, Korea
- Prediction of Defect Coffee Beans Using CNN [short]
Ji-Yoon Lee and Young-Seob Jeong (Soonchunhyang University, Korea)
- A Cross-age Kinship Verification Scheme Using Face Age Transfer Model [regular]
Hyeonwoo Kim, Hyungjoon Kim, Bumyeon Ko and Eenjun Hwang (Korea University, Korea)
- Privacy-preserving of human identification in CCTV data using a novel Deep Learning-based method [short]
Mukhiddin Toshpulatov, Arousha Haghighian Roudsari, Ubaydullo Asatullaev, Wookey Lee and Suan Lee (Inha University, Korea)
- Multi-label Facial Emotion Recognition Using Korean Drama Movie Clips [regular]
Heeryon Cho, Woo-Kyu Kang, Younsoo Park, Sungeu Chae and Seong-joon Kim (Chung-Ang University, Korea)
17:15 – 19:00, January 19 (Wednesday), 2022
Chair: Jinho Kim, Kangwon National University, Korea
- Comparative Methods for Personalized Customer Churn Prediction with Sequential Data [short]
Ahmet Tuğrul Bayrak (Ata Technology Platforms, Turkey)
- Explaining Anomalies in Industrial Multivariate Time-series Data with the help of eXplainable AI [regular]
Sarthak Manas Tripathy, Ashish Chouhan, Marcel Dix, Arzam Kotriwala, Benjamin Klöpper and Ajinkya Prabhune (SRH Hochschule Heidelberg, Germany)
- Urban Event Detection from Spatio-temporal IoT Sensor Data Using Graph-Based Machine Learning [regular]
Daeyoung Park and In-Young Ko (KAIST, Korea)
- An AI-based Alarm Prediction in Industrial Process Control Systems [short]
Marcel Dix, Ashish Chouhan, Madhushree Sinha, Akhil Singh, Suraj Bhattarai, Shweta Narkhede and Ajinkya Prabhune (SRH Hochschule Heidelberg, Germany)
Session 7B: Image Processing II
17:15 – 19:00, January 19 (Wednesday), 2022
Chair: Heeryon Cho, Chung-Ang University, Korea
- Manipulating Neural Network Block for Robust Image Segmentation [regular]
Hyungjoon Kim, Hyeonwoo Kim, Seongkuk Cho and Eenjun Hwang (Korea University, Korea)
- MNSSD: A Real-time DNN based Companion Image Data Annotation using MobileNet and Single Shot Multibox Detector [regular]
Md Golam Morshed and Young-Koo Lee (Kyung Hee University, Korea)
- Feature Fusion for Leaf Image Classification [short]
Moeri Okuda and Hiroaki Ohshima (University of Hyogo, Japan)
- Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder [short]
Jaehyun Kim, Myungjun Kim and Hyunjung Shin (Ajou University, Korea)
Main Conference Day 3: January 20 (Thursday), 2022
09:15 – 11:00, January 20 (Thursday), 2022
Chair: Ha-Joo Song, Pukyong National University, Korea
- Presto Pack: Resource-aware Workload Placement for Higher Performance and Reliability [regular]
Cem Cayiroglu, Zhenyun Zhuang and Biswapesh Chattopadhyay (Facebook, United States)
- Optimizing the Page Hotness Measurement with Re-Fault Latency for Tiered Memory Systems [regular]
Taehyung Lee and Young Ik Eom (Sungkyunkwan University, Korea)
- Accelerating Concurrency Control with Active Thread Adjustment [regular]
Kosei Masumura, Takashi Hoshino and Hideyuki Kawashima (Keio University, Japan)
- Medication Monitoring from Accelerometer Data through a Series of Medication Actions Using Neural Network for Medication Adherence Evaluation for Medication Adherence Evaluation [short]
Chihiro Ikeda and Daigo Misaki (Kogakuin University, Japan)
Session 8B: Recommender System
09:15 – 11:00, January 20 (Thursday), 2022
Chair: Keejun Han, ETRI, Korea
- Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation [short]
Dong-Kyu Chae, Jung Ah Shin and Sang-Wook Kim (Hanyang University, Korea)
- Product Recommendation Based on Embeddings: People Who Viewed This Product Also Viewed These Products [short]
Ulukbek Attokurov, Okan Kaya and Mehmet Selman Sezgin (Hepsiburada, Turkey)
- Multi-relational Stacking Ensemble Recommender System using Cinematic Experience [short]
Cheonsol Lee, Donghee Han, Seungwoo Choi, Keejun Han and Mun Yong Yi (KAIST, Korea)
- Collaborative Filtering on Bipartite Graphs using Graph Convolutional Networks [short]
Minkyu Kim and Jinho Kim (Kangwon National University, Korea)
Detailed Workshop Program
Workshop Day 1: January 17 (Monday), 2022
WS1: Conceptual Modeling 2022
- Location: Online & Offline (Joyful Hall)
- Organizers: Tok Wang Ling (National University of Singapore, Singapore)
Il-Yeol Song (Drexel University, USA)
Wookey Lee (Inha University, Korea)
Session 1: Keynote Speech I
Chair: Il-Yeol Song, Drexel University, USA
10:30 – 12:00, January 17 (Monday), 2022
- Introductory Talk
Il-Yeol Song (Drexel University, USA)
- Conceptual Modeling View on Relational Databases vs Big Data and Machine Learning
Tok Wang Ling (Singapore National University, Singapore)
Session 2: Issues on Language-based Conceptual Modeling
Chair: Youngbum Hur, Inha University, Korea
13:20 – 14:50, January 17 (Monday), 2022
- Name-Ethnicity Classification Using Machine Learning Techniques
Youngbum Hur (Inha University, Korea)
- Compressing deep graph convolution network with multi-staged knowledge distillation
Junghun Kim, Jinhong Jung and U Kang (Seoul National University, Korea)
- Attentive Self-Attention for Translation in Natural Language Processing Model
Ubaydullo Asatullaev, Wookey Lee, Suan Lee, Mukhiddin Toshpulatov and Arousha Haghighian Roudsari (Inha University, Korea)
Session 3: Issues on Image-based Conceptual Modeling
Chair: Hyeonjoon Moon, Sejong University, Korea
15:00 – 17:00, January 17 (Monday), 2022
- Graph-based approach for Human Actions recognition from Video
Quan Nguyen Le and Hyeonjoon Moon (Sejong University, Korea)
- Transformer Networks for Trajectory Classification
Keywoong Bae, Suan Lee and Wookey Lee (Inha University, Korea)
- Tracking Untrained Objects Based On Optical Flow Approach,
George Jung Yup Rhee, Suan Lee and Wookey Lee (Inha University, Korea)
- New Style Mirror Image Using Generative Adversarial Network
Sujin Lee (Sejong University, Korea)
Session 4: Keynote Speech II
Chair: U Kang, Seoul National University, Korea
17:10 – 18:30, January 17 (Monday), 2022
- On the Performance Impact of Using JSON, Beyond Impedance Mismatch
Alberto Abello (Universitat Politecnica de Catalunya, Spain)
- Location: Online & Offline (Happy Hall)
- Organizers: Sun Kim (Seoul National University, Korea)
Giltae Song (Pusan National University, Korea)
13:30 – 18:00, January 17 (Monday), 2022
Session 1
Chair: Giltae Song (Pusan National University)
- 13:30 – 14:00 (Invited talk) Toward fusion of ICT and healthcare
Presenter: Dongchul Cha (Naver Corp)
- 14:00 – 14:20 Multi-Scale Curriculum Learning For Efficient Automatic Whole Slide Image Segmentation
Dong Un Kang and Se Young Chun (Seoul National University)
- 14:20 – 14:40 Differentiating Parkinsonian Syndromes using Distinctive Brain Iron Accumulation Patterns in SWI
Yun Soo Kim, Jea Hyeok Lee, and Jin Kyu Gahm (Pusan National University)
- 14:40 – 15:00 Brain Volume Prediction from SNP network with Semi-Supervised Regression
Dong-gi Lee, Hyun Woong Roh, Myungjun Kim, Na-Rae Kim, Sang Joon Son, Chang Hyung Hong, and Hyunjung Shin (Ajou University)
- 15:00 – 15:20 Transformer-based embedding applied to classify bacterial species using sequencing reads
Ho-Jin Gwak and Mina Rho (Hanyang University)
- Break (20 min)
Session 2
Chair: Mina Rho (Hanyang University)
- 15:40 – 16:00 Improved Binding Affinity Prediction Using Non-Covalent Interactions and Graph Integration
Junseok Choe, Keonwoo Kim, Minjae Ju, Sumin Lee, and Jaewoo Kang (Korea University)
- 16:00 – 16:30 (Invited talk) Large-scale Deep Learning for Electronic Health Record
Presenter: Edward Yoonjae Choi (KAIST)
- 16:30 – 16:50 Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning
Jungwoo Kim, Sangsoo Lim, Sangseon Lee, Changyun Cho, and Sun Kim (Seoul National University)
- 16:50 – 17:10 A denoised embedding space of genetic perturbation using Deep Metric Learning
Minjae Ju, Sanghoon Lee and Jaewoo Kang (Korea University)
- 17:10 – 17:30 Aptamer-protein interaction prediction using Transformer
Incheol Shin and Giltae Song (Pusan National University)
- Location: Online
- Organizers: Young-guk Ha (Konkuk University, Korea)
Chang-eun Lee (ETRI, Korea)
13:20 – 17:20, January 17 (Monday), 2022
- Distributed Graph Matching Network for Deep Situation Recognition
Jaeuk Baek, Seungwon Do, Sungwoo Jun and ChangEun Lee
- Design of Weighted Usability Model for Elderly/Young and General/Military User Groups
Athiruj Poositaporn, Athita Onuean and Hanmin Jung
- Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis
Ji Sun Park, Mingu Kang, Sungryoul Lee and Dong-Kyu Chae
- Battlefield Environment Design for Multi-agent Reinforcement Learning
Seungwon Do, Jaeuk Baek, Sungwoo Jun and ChangEun Lee
- Fast and Accurate Deep Learning-Based Framework for 3D Multi-Object Detector for Autonomous Vehicles
Hoang Duy Loc and Gon-Woo Kim
- Space-Time Multilayer Model for Battlefields Recognition
ChangEun Lee, Jaeuk Baek, Seungwon Do, Sungwoo Jun and Young-guk Ha
- Understanding Subjective Clinical Practices Using Machine Learning on Big Data of Clinical Assessment
Jeong-Ho Park, Hyung-Soon Park, Yushin Kim, Kwang-Jae Lee, Yong-Soon Yoon, Si Hyun Kang and Heesang Kim
- Location: Online
- Organizers: Chae-Gyun Lim (KAIST, Korea)
Young-Jun Lee (KAIST, Korea)
Ho-Jin Choi (KAIST, Korea)
Session 1: Invited Talk
Chair: Ho-Jin Choi (KAIST, Korea)
13:25 – 14:15, January 17 (Monday), 2022
- The Power of Visualization: English Language Learners in Transformation
Presenter: So-Yeon Ahn (KAIST, Korea)
Session 2: Paper Presentations
Chair: Chae-Gyun Lim (KAIST, Korea)
14:25 – 17:35, January 17 (Monday), 2022
- The Text Analysis Framework for Interactive Statistical Classification Service
Kyo-Joong Oh, Ho-Jin Choi, Jinwon Kim, Wonsoek Cha and Kyungmin Lim
- Boosting Adapter Transfer Learning via Weak Parameter Sharing
June Suk Choi, Chae-Gyun Lim and Ho-Jin Choi
- Exploring the Repetition Problem in Empathetic Dialogue Generative Model
Young-Jun Lee and Ho-Jin Choi
- Data Stream Classification by Using Stacked CARU Networks
Ka-Hou Chan and Sio-Kei Im
- Toward Robust Response Selection Model for Cross Negative Sampling Condition
Nyoungwoo Lee and Ho-Jin Choi
- Knowledge Management Approach for Memory Components Based on User-friendly Conversational System
Chae-Gyun Lim, Dongkun Lee, Young-Jun Lee and Ho-Jin Choi
- Checklist for Validating Trustworthy AI
Seung-Ho Han and Ho-Jin Choi
Workshop Day 2: January 18 (Tuesday), 2022
- Location: Online & Offline (Ladies Hall)
- Organizers: Joo-Yeon Lee (Ajou University, Korea)
Ki-Chan Park(KIRD, Korea)
Invited talk
Chair: Myoung-Sug Chung, Ajou University, Korea
13:15 – 15:15, January 18 (Tuesday), 2022
- Welcoming Address
Young-seo Song (Ajou University, Korea)
- Invited talk1: SPIS and SPRU - Exploring the field of 'Science Policy and Innovation Studies (SPIS)' and a brief Introduction to SPRU
Jeremy Kent Hall (University of Sussex, UK)
- Invited talk2: Tangible Interraction based on Kansei, Design and Brain Sciences
S.h. Serena Lee (University of Tsukuba, Japan)
- Invited talk3: Daily life of science, imagination of the future, emergency of talented person
Bong-Rak Lee (KIRD, Korea)-
- Invited talk4: Establishing a data-based R&D ecosystem for science and technology innovation
Chi-Hoon Song (STEPI, Korea)
Session1
Chair: Mi-Young Park, Ajou University, Korea
15:15 – 15:55, January 18 (Tuesday), 2022
- Special Talk1: Open innovation at the national level: towards a global innovation system
Sung-Joo Lee (Seoul National University, Korea)
- Special Talk2: A study on business productivity improvement considering hyper-automation
Jin-Deuk Ko (Kitech, Korea), Young-Geun Hyun(SK, Korea)
Session2
Chair: Young-Seo Song, Ajou University, Korea
15:55 – 17:40, January 18 (Tuesday), 2022
- Research Paper1: Korean economic growth factor analysis with Total Factor Productivity
Kuk-Jin Jang, Dasran Kim, and Joo-Yeoun Lee (Ajou University, Korea)
- Research Paper2: Analysis of Factors Affecting the Transfer of Educational Training of Science and Technology Personnel
Mi-ri Kim, Sehyeok Jeon, Joo-Sung Hwang, Seo-Yong Kim (Ajou University)
- Research Paper3: Analysis on the implementation plan to increase the joint utilization rate of national research facilities and equipment
Sehyeok Jeon, Joo-Sung Hwang, Mi-ri Kim, Seo-Yong Kim (Ajou University, Korea)
- Research Paper4: Estimates of the Image Quality in Accordance with Radiation dose for Pediatric Imaging using Deep Learning CT: A Phantom Study
Pil-Hyun Jeon(Yonsei University), Myung-Ae Chung. Dae-Hong Kim(Eulji University)
WS8: Medical Big Data & Smart Hospital
- Location: Online & Offline (Amante Hall)
- Organizer: Seungpil Jung (Yeungnam University, Korea)
15:15 – 17:00, January 18 (Tuesday), 2022
- GE Healthcare Digital Pathway
Roger Juwon Lee(GE Healthcare, Korea)
- AI in Healthcare
Jongsu Jeon(Microsoft, Korea)
- CLOUD Based Healthcare Business
Sangwoo Lee(Naver Cloud, Korea)
- Intelligent virtual workers in cognitive hospital
Sungmoon Jeong(Kyungpook National University, Korea)
- Recent ICT adopted in Healthcare
Dukyong Yoon(Yonsei University Korea)
- New strategy to increase the usability of big data in Korea’s healthcare industry
Daegwan Kim(Daegu-Gyeongbuk Medical Innovation Foundation, Korea)
Workshop Day 3: January 19 (Wednesday), 2022
- Location: Online & Offline (Ladies Hall)
- Organizers: Min Song (Yonsei University, Korea)
Joonhwan Lee (Seoul National University, Korea)
Youngjin Yoo (Case Western Reserve University, USA)
Session 1: Keynote Speech
Chair: Min Song (Yonsei University, Korea)
13:15 – 15:00, January 19 (Wednesday), 2022
Chanung Park (Yonsei University, Korea)
Session 2: Extended Abstracts
Chair: Min Song (Yonsei University, Korea)
15:15 - 17:00, January 19 (Wednesday), 2022
- Predicting Metabolic Syndrome Severity Score with Deep Learning: Analysis of the 2015-2019 National Health Insurance Service Medical Examination Dataset
Minji Kang (Yonsei University, Korea)
- Automatic Prediction of Sleep Disorder by Mining Reddit
Soobin Lee, Seongdeok Kim, Juhee Lee, Youngsoo Ko and Jiyeong Han (Yonsei University, Korea)
- Building a multi-layered knowledge graph for hypothesis generation in biomedical field
Hyunchul Cho, Chaemin Song, Seongdeok Kim, Jeeyoung Yoon, Jiwon Kim and Dongin Nam (Yonsei University, Korea)
- Identifying influential factors of Acknowledgments to Measure Impact on Academic Performance
Go Eun Heo (Yonsei University, Korea)
- Predicting Bioage for Korean using Machine Learning Techniques and KNHANES Data
Minjoo Kim, Sumin Lee and Jeonghwan Lee (Yonsei University, Korea)
- Building a Biomedical Classification Model: Using a Corpus Annotated with Semantic Relation
Yeawon Lee, Yuri Ahn, Heeyoung Kim, A.F. Syafiandini and Yejin Park (Yonsei University, Korea)
Session 3: Poster Presentations
Chair: Min Song (Yonsei University, Korea)
17:15 - 19:00, January 19 (Wednesday), 2022
- Neural Representation in mPFC Reveals Hidden Selfish Motivation in White Lies
Juyoung Kim and Hackjin Kim (Korea University, Korea)
- Can SNS fill the environmental value-action gap?: using goal-frame to study the impact of online experiential campaigns on pro-environmental behaviour
So-youn Jang (Seoul National University, Korea)
- Man Holds Back, Woman Doubts: Neuroticism Affects Attitude Toward Investment in Marriage
Jeong Woo Kim, Hanbyeol Lee, Jeong Eun Cheon and Young-Hoon Kim (Yonsei University, Korea)
- Examining the Effects of COVID-19 on Children and Families in South Korea
Jung Yun Lee, Minjung Cha, Hyun-joo Song (Yonsei University, Korea) and Wooyeol Lee (Chungbuk National University, Korea)
Note that this is closed session for member only
- Location: Online & Offline (Joyful Hall)
- Organizers: Ho-Young Lee (Seoul National University, Korea)
Wookey Lee (Inha University, Korea)
Suan Lee (Semyung University, Korea)
Session 1: Spoken Language Modeling for VOICE AI
Chair: Ho-Young Lee, Seoul National University, Korea
13:15 – 15:00, January 19 (Wed.), 2022
- Welcome remark
Wookey Lee (Co-Organizer, Inha University, Korea)
- Evaluation of Korean learners' English rhythm proficiency
Ho-Young Lee (Seoul National University, Korea)
- Development of a voice audio replacement for video content using Tacotron2
Youngho Kim (mayfarmsoft, Korea), Dami Cho, Taeseong Song, Sunghyun Kim and Young-Kuk Kim (Chungnam National University, Korea)
- Development of surface registration method with the predicted point cloud of occipital lobes
Taeyong Sim (Sejong University, Korea)
Session 2: Sensor and Signal Recognition for VOICE AI
Chair: Hogun Park, Sungkyunkwan University, Korea
15:15 – 17:00, January 19 (Wed.), 2022
- Voice Recognition based on EMG and EGG Signals using deep learning techniques
Shan Ullah and Deok-Hwan Kim (Inha University, Korea)
- sEMG-based gesture recognition with deep neural networks
Heesoo Jung, Soyoung Lee and Hogun Park (Sungkyunkwan University, Korea)
- WPBERT: Mixing word and phonetic representation for spoken language modeling
Jaeyeon Kim, Injune Hwang and Kyogu Lee (Seoul National University, Korea)
Session 3: Mechanism for VOICE AI
Chair: Chang-Jae Chun, Sejong University, Korea
17:15 – 19:00, January 19 (Wed.), 2022
- The Voice Generation Mechanism from a Medical Point of View
Jeong-Seok Choi (Medical School, Inha University, Korea)
- Deep Learning-based Voice Pathology Identification for Phrases
Jong Bub Lee and Hyun-Gyu Lee (Medical School, Inha University, Korea)
- Deep learning based channel signal estimation for wireless energy harvesting networks
Chang-Jae Chun (Sejong University, Korea)
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