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Detailed Conference Program

Presentation time: 25 min (incl. 5 min Q&A) for both Regular paper and Short paper

 

 

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Main Conference Day 1: February 19 (Monday), 2024

 

​Tutorial 1

09:00 – 10:45, February 19 (Monday), 2024

Chair: Satidchoke Phosaard, Suranaree University of Technology

 

• Big-Data in Monitoring Engineering Systems: Forecasting Multivariate Time-Series

Pavel Loskot, Zhejiang University-University of Illinois at Urbana Champaign Institute

 

​Session 1: Big Data and AI Applications I

09:00 – 10:45, February 19 (Monday), 2024

Chair: Young-Seob Jeong, Chungbuk National University

 

• Unsupervised Multi-head Attention Autoencoder for Multivariate Time-Series Anomaly Detection

Minseok Kim and Sanghyun Park

• Security Evaluation of Emojis in NLP Tasks

Hao Ma, Wanying Cao, Jiale Peng, Jiadong Ren, and Yuqing Zhang

• A Study on the Motion Sickness Reduction Technology in Vehicle Media Environment

Ye-Seom Jin, Jiseon Son, Taekyoung Kim, Hoolim Kim, Seunghwan Bang, and HyungSeok Kim

• Emergency landing field identification based on artificial neural networks

Steffen Flämig and Wolfram Schiffmann

 

​Opening

11:00 - 11:15, February 19 (Monday), 2024

Chair: Phayung Meesad, King Mongkut’s University of Technology North Bangkok

 

 

​Keynote Speech 1

11:15 - 12:15, February 19 (Monday), 2024

Chair: Phayung Meesad, King Mongkut’s University of Technology North Bangkok

 

• Data Management for Deep Learning

Lei Chen, Hong Kong University of Science and Technology

 

​Tutorial 2

13:15 - 15:00, February 19 (Monday), 2024

Chair: Satidchoke Phosaard, Suranaree University of Technology

 

• How to thrive in computing: Practical advice for junior researchers

Meeyoung Cha, Korea Advanced Institute of Science and Technology & Institute for Basic Science

 

​Session 2: Big Data and AI Applications II

13:15 – 15:00, February 19 (Monday), 2024

Chair: Young-Kyoon Suh, Kyungpook National University

 

• Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet

Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, Ho-Jin Choi, and Jia Uddin

• MoCVAE: Movement Prediction by A Conditional Variational Autoencoder for Doubles Badminton

Pei-Chieh Sung, Hsu-Chao Lai, Guan-Yi Jhang, Tsì-Uí İk, Chih-Chuan Wang and Jiun-Long Huang

• A Road Surface Defect Segmentation Model based on GLoRA and Multi-scale Completeness

Xiongjin Leng, Yang Yan, Yongquan Jiang, and Yan Liu

 

​Poster Session

15:15 – 16:45, February 19 (Monday), 2024

Chair: Suan Lee, Semyung University

 

• Finite Window Neural Network based Sliding Mode Control for a UAV System

Hyun Ho Kang, Kwan Soo Kim, Sang Su Lee and Choon Ki Ahn

• Unsupervised Anomalous Sound Detection Using Hybrid Machine Learning Techniques

Eunsun Yun and Minjoong Jeong

• Towards an edge-fog-cloud serverless continuum for IoT data processing pipeline

Thanda Shwe and Masayoshi Aritsugi

• Text Preprocessing and Annotation Tool for Time Information

Chae-Gyun Lim, Young-Seob Jeong, Woo-Jin Kim, Youngjin Kim and Ho-Jin Choi

• Improving Financial QA via Enhancing Argument Understanding with an Argument Predictor

Jinsu Lim, Ye Chan Hwang, Young-Jun Lee and Ho-Jin Choi

• Privacy-Preserving Consumer Churn Prediction in Telecommunication through Federated Machine Learning

Jae Hyuk Huh and Woong Sup Lee

• Effects of Swahili monolingual tokenizer on downstream tasks

Goodwill Ndomba and Young-Seob Jeong

• An Iridescent Insights of Statistical Interdependencies of Financial Markets

Insu Choi and Woo Chang Kim

• Acceleration of Neural Network Inference for Embedded GPU Systems

Kei Terakura, Qiong Chang, and Jun Miyazaki

• Detecting and Classifying Harmful Websites with Specific Korean Keywords Using a Large Language Model

Gyu Hyeon Choi, Kyeong Seok Lee, Sang Ryu Park, and Ho Mook Cho

• Enhancing Knowledge Selection with Data Processing Based on Multiple Turns of Dialog in Knowledge-Grounded Open-Domain Conversations

Eojin Joo, DoKyung Lee, Junyoung Youn, Joo-Won Sung, and Ho-Jin Choi

• An emotion analysis method building Love emotion Emoji Dictionary(LED) using Deep Neural Network

Sung-Yeon Kim and Young-ho Park

• Generating a Semantic Parsing Dataset for GeoKBQA over OpenStreetMap

Evelyn Hyeji Jeong, Taejoo Yang, Jonghyeong Yang, and Kiyun Yu

• Extending Transformer to Predict both the Order and Occurrence Times of Elements in a Sequence

Hyewon Ryu, Sara Yu and Ki Yong Lee

• Deep Learning Model for Traffic Accident Prediction Using Multiple Feature Interactions

Namhyeon Kim, Sangkeun Ko, Minkyu Kim, and Suan Lee

• Neural Radiance Fields for Transparent Object Using Visual Hull

Heechan Yoon and Seungkyu Lee

• Enhanced Deep Electric Pole Anomaly Detection Using Generative Adversarial Network-based Data Augmentation

Dongkun Lee, Jonghwan Hyeon, and Ho-Jin Choi

• Latent Representation Generation for Efficient Content-Based Image Retrieval in Weather Satellite Images Using Self-Supervised Segmentation

Abdulhakin Mohamud Ismail and Ha-Myung Park

• Predictive Drug Quality Control Using Machine Learning and Big Data

Nitheezkant R, Brij Bidhin Desai, Madhav Rao, and Yukta Rajapur

• Methods for Improving the Performance of Tactical Information Displays

Byoung-Kug Kim, Yonghoon Cha, Jae-Hwan Lim, Keun-Woong Ryu, Heon-Jei Park, and Sung-Hwa Hong

• Developing an Entity Linking Model for Geographic Knowledge Base Question Answering

Taejoo Yang, Evelyn Hyeji Jeong, Jonghyeon Yang, and Kiyun Yu

• Enhanced Image Retrieval through the Integration of Dense Global Descriptors and Structural Masks

Gunho Lee, Ryong Lee, Rae-Young Jang, Gunwoo Lee, and Myung-Seok Choi

• Entity Linking in GeoKBQA: Deep Learning Approaches for Enhanced Mention Detection

Daewoong Choi, Seokyong Lee, Jonghyeon Yang, and Kiyun Yu

• Optimization of Incremental Join Based on Auxiliary View

Bowen Gan, X.Sean Wang, Yibing Shi, and Wei Hua

 

 

Main Conference Day 2: February 20 (Tuesday), 2024

 

​Session 3A: Human-Centered AI

09:00 – 10:45, February 20 (Tuesday), 2024

Chair: Hyojin Chin, Institute for Basic Science

 

• Refining Saliency Maps Using Gaussian Mixture Model

Seung-Ho Han and Ho-Jin Choi

• Combining Human-in-the-Loop Systems and AI Fairness Toolkits to Reduce Age Bias in AI Job Hiring Algorithms

Christopher G. Harris

• An Empirical Study of Utility and Disclosure Risk for Tabular Data Synthesis Models: In-Depth Analysis and Interesting Findings

Dae-Young Park and In-Young Ko

• Public Safety Event Detection Based on Reinforcement Federated Client Selection

Zeli Guan, Junping Du, and Zhe Xue

 

​Session 3B: Graph Mining

09:00 – 10:45, February 20 (Tuesday), 2024

Chair: Ha-Myung Park, Kookmin University

 

• Random-walk-based or Similarity-based Methods, Which is Better for Directed Graph Embedding?

Masoud Rehyani Hamedani, Jin-Su Ryu, and Sang-Wook Kim

• Machine Feeling by Knowledge Acquisition with Emotion Map

Chae-Gyun Lim, Medard Edmund Mswahili, Goodwill Erasmo Ndomba, Ho-Jin Choi, and Young-Seob Jeong

• Multimodal Knowledge Graph-guided Cross-Modal Graph Network for Image-text Retrieval

Juncheng Zheng, Meiyu Liang, Yang Yu, Junping Du, and Zhe Xue

• Construction of Ingredient Embedding Considering Both Cooking Recipes and Their Ingredients

Naoki Yoshimaru, Kazuma Kusu, Yusuke Kimura, Hidetsugu Nanba, and Kenji Hatano

 

​Session 3C: Infrastructure and Platform for Big Data I

09:00 – 10:45, February 20 (Tuesday), 2024

Chair: Junho Jeong, Dongguk University

 

• PA-SIE: Pixel-Attack Methodology Factored Selective Image Encryption Scheme for Low Resource Edge Computing Systems

Harshitha Gupta, Mayank Kabra, Asmita Zjigyasu, and Madhav Rao

• Indoor Positioning Based on Time of Flight and Kalman Filtering Using Ultra-Wideband Sensors

Himasara Warnakulasuriya, Tandin Dorji, and Teerayut Horanont

• Empowering Managed Service Providers: Decentralised AI-Enabled Monitoring in Multi-Tenant Networks

Adeel Rafiq, Muhammad Zeeshan Shakir, David Gray, Julie Inglis, and Fraser Ferguson

• Preemptive Channel Access Scheme for Next Generation Wi-Fi

Juseong Moon and Ronny Yongho Kim

 

​Keynote Speech 2

11:00 - 12:00, February 20 (Tuesday), 2024

Chair: Jun Miyazaki, Tokyo Institute of Technology

 

• Energy and Resource Awareness in Machine Intelligence and Learning

Chidchanok Lursinsap, Chulalongkorn University

 

​Session 4A: Infrastructure and Platform for Big Data II

13:00 - 14:45, February 20 (Tuesday), 2024

Chair: Young-ho Park, Sookmyung Women's University

 

• Quantitative Analysis of the Reward Rate Disparity Among Delegators in a DPoS Blockchain

Hidemasa Tanaka, Shiori Hironaka, and Kazuyuki Shudo

• ThanosKV: A Holistic Approach to Utilize NVM for LSM-tree based Key-Value Stores

Guangxun Zhao, Hojin Shin, Seehwan Yoo, Seong-je Cho, and Jongmoo Choi

• Tiered Storage in Modern Key-Value Stores: Performance, Storage-Efficiency, and Cost-Efficiency Considerations

Charles Jaranilla, Hojin Shin, Seehwan Yoo, Seong-je Cho, and Jongmoo Choi

• Uniformly Distributed Data Effects in Offline RL: A Case Study in Gridworld Setting

Kuanysh Tokayev and Jurn-Gyu Park

 

​Session 4B: Data Mining

13:00 - 14:45, February 20 (Tuesday), 2024

Chair: Eenjun Hwang, Korea University

 

• Touch-based Continuous Mobile Device Authentication Using One-vs-One Classification Approach

Masashi Kudo, Tsubasa Takahashi, and Hayato Yamana

• Processing Conflict-Aware k Nearest Neighbor Queries in Euclidean Space

Rui Zhang, Yawen Li, Mengyu Zhuang, Guoxiang Chen, and Ziqiang Yu

• Cross Attention Integration: Enhancing Session-based Recommendations with Item-Category Interactions

Eun Jo Jang, Yeon Ju Song, and Ki Yong Lee

• Deep k-Means Clustering Based on Graph Neural Networks: Leveraging Cohesion and Separation in Graph Nodes

Hyesoo Shin and Ki Yong Lee

 

​​Tutorial 3

15:00 – 16:45, February 20 (Tuesday), 2024

Chair: TBA

 

• Explainable Artificial Intelligence to Understand Internal Decision Mechanism of Deep Neural Networks

Jaesik Choi, Graduate School of Artificial Intelligence, Korea Advanced Institute of Science and Technology

 

​Session 5: Generative AI

15:00 – 16:45, February 20 (Tuesday), 2024

Chair: Mukhiddin Toshpulatov, Inha University

 

• CartoonizeDiff: Diffusion-based Photo Cartoonization Scheme

Hwyjoon Jeon, Jonghwa Shim, Hyeonwoo Kim, and Eenjun Hwang

• DSUSING: Dual Scale U-Nets for Singing Voice Synthesis

Hyunju Park and Jihwan Woo

• Glyph Generation for Japanese Calligraphy based on Encoding both Content and Style

Wakana Kuwata, Ryota Mibayashi, Masanori Tani, and Hiroaki Ohshima

• An Optimized EMG Encoder to minimize soft speech loss for speech to EMG conversions

Shan Ullah and Deok-Hwan Kim

 

​Session 6A: Learning Techniques

17:00 – 18:45, February 20 (Tuesday), 2024

Chair: Sael Lee, Ajou University

 

• Enhancing Defective Solar Panel Detection with Attention-guided Statistical Features using Pre-trained Neural Networks

Hanbyul Lee, Yeonghyeon Park, and Juneho Yi

• Few-Shot KBQA Method Based on Multi-Task Learning

Yuan Ren, Xutong Li, Xudong Liu, and Richong Zhang

• Inference-based No-Learning Approach on Pre-trained BERT Model Retrieval

Huu-Long Pham, Ryota Mibayashi, Takehiro Yamamoto, Makoto P. Kato, Yusuke Yamamoto, Yoshiyuki Shoji, and Hiroaki Ohshima

• Enhancing numerical reasoning performance by augmenting distractor numerical values

Ye-Chan Hwang, Jinsu Lim, Young-Jun Lee, and Ho-Jin Choi

 

​Session 6B: Text and Natural Language Processing

17:00 – 18:45, February 20 (Tuesday), 2024

Chair: Wookey Lee, Inha University

 

• BERT-Based Movie Keyword Search Leveraging User-Generated Movie Rankings and Reviews

Tensho Miyashita, Yoshiyuki Shoji, Sumio Fujita, and Martin J. Dürst

• Generating Experiential Descriptions and Estimating Evidence Using Generative Language Model and User Products Reviews

Chenfu Shen, Yoshiyuki Shoji, Takehiro Yamamoto, Katsumi Tanaka, and Martin J. Dürst

• Efficient Textual Similarity using Semantic MinHashing

Waqas Nawaz, Maryam Baig, and Kifayat Ullah Khan

• Context-Aware Offensive Language Detection in Human-Chatbot Conversations

Mingi Shin, Hyojin Chin, Hyeonho Song, Yubin Choi, Junghoi Choi, and Meeyoung Cha

 

 

Main Conference Day 3: February 21 (Wednesday), 2024

 

​Invited Talks

09:30 - 11:30, February 21 (Wednesday), 2024

Chair: Joonho Kwon, Pusan National University

 

• Optimizing Hard Problems with Quantum Computing

Prabhas Chongstitvatana, Chulalongkorn University

• AI-based Emergency Landing Support for Pilots

Wolfram Schiffmann and Steffen Flämig, University of Hagen

• Private Data Analytics

Chang Ge, University of Minnesota

 

​Session 7A: Smart Medicine and Bioinformatics

12:30 - 14:15, February 21 (Wednesday), 2024

Chair: Jurn-Gyu Park, Nazarbayev University

 

• Binding Affinity Prediction of the Radiolabeled PSMA-617 with PSMA via Graph Neural Network

Kangsan Kim, Jingyu Yang, Kyo Chul Lee, Kwang Seok Kim, and Sang-Keun Woo

• Noise-robust Sleep States Classification Model using Sound Feature Extraction and Conversion

Sangkeun Ko, Seongho Min, Ye Shin Choi, Woo-Je Kim, and Suan Lee

• CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification

Hyunkyung Han, Jihyeon Seong, and Jaesik Choi

• SkinSavvy: Automated Skin Cancer Diagnosis and Personalized Medical Consultation System

Yunju Kim, Woo Jin Cho, Yoojeong Song, and Hyungjoon Kim

 

​Session 7B: Image Processing

12:30 - 14:15, February 21 (Wednesday), 2024

Chair: Qiong Chang, Tokyo Institute of Technology

 

• Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation

Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, and Sanghyun Park

• [Industrial paper] On the Impact of Resolution in Fashion Attribute-based Re-identification

Soo Min Chae, Seoyoung Yu, Jinpyung Kim, and Jangho Lee

• [Industrial paper] A Pilot Study on Intelligent Surveillance System based on Fashionpedia Dataset

Changgeun Park, Jinseok Chae, Jinpyung Kim, and Jangho Lee

• Truck Detection and Counting in Low-Light Condition: Do We Need Infrared Camera?

Jooyoung Yoo, Seon Ho Kim, Krish Sukhani, Min Sang Yoo, and Cyrus Shahabi

 

​Session 7C: Graph Neural Networks

12:30 - 14:15, February 21 (Wednesday), 2024

Chair: Chang Ge, University of Minnesota

 

• Cloud-based Low-Cost Smart Care: Breathing Test Radar

C. Alisdair Lee, C. Francis Lau, and H. Anthony Chan

• Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction

Ang Li, Yawen Li, Zhe Xue, Zeli Guan, and Mengyu Zhuang

• Enhancing Heterophilic Graph Neural Network Performance through Label Propagation in K-Nearest Neighbor Graphs

Hyun Seok Park and Ha-Myung Park

 

 

 

 

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