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Detailed Conference Program

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

 

 

Main Conference Day 1: February 14 (Tuesday), 2023

 

​Opening

08:30 - 09:00, February 14 (Tuesday), 2023

Chair: Jae-Gil Lee, KAIST

 

​Tutorial 1

09:30 – 10:45, February 14 (Tuesday), 2023

Chair: Makoto P. Kato, University of Tsukuba

• Mining of Real-world Hypergraphs: Patterns, Tools, and Generators

Ki-Jung Shin/Geon Lee, KAIST

 

​Session 1: Big Data Application

09:00 – 10:45, February 14 (Tuesday), 2023

Chair: Young-Seob Jeong, Chungbuk National University

• CompeteNet: Siamese Networks for Predicting Win-Loss Outcomes in Baseball Games

Kyeongjin Mun, Bonggeon Cha, Jongwuk Lee, Jihyeon Kim, and Hyuncheol Jo

• System Optimization of Data Analytics Platforms using Compute Express Link (CXL) Memory

Seokhyun Ryu, Sohyun Kim, Jaeyung Jun, Donguk Moon, Kyungsoo Lee, Jungmin Choi, Sunwoong Kim, Hyungsoo Kim, Luke Kim, Won Ha Choi, Moohyeon Nam, Dooyoung Hwang, Hongchan Ro, and Youngpyo Joo

• Self-Supervised Learning for Climate Downscaling

Karandeep Singh, Chaeyoon Jeong, Sungwon Park, Arjun N Babur, Elke Zeller, and Meeyoung Cha

• Classification of Event Sequences Based on Temporal Relation Features

Kai Cheng

 

​Keynote Speech 1

11:00 – 12:15, February 14 (Tuesday), 2023

Chair: Steven Euijong Whang, KAIST

• The Data Landscape: Trends and Directions

C. Mohan, Tsinghua University

 

​Tutorial 2

13:15 – 15:00, February 14 (Tuesday), 2023

Chair: JinYeong Bak, Sungkyunkwan University

• Machine Learning Fairness and its Convergence with Robustness

Steven Euijong Whang, KAIST

 

​Session 2: Machine Learning

13:15 – 15:00, February 14 (Tuesday), 2023

Chair: Young-Goo Lee, Kyung Hee University

• A Machine Learning Approach to Government Business Process Re-engineering

Agus Riyadi, Mate Kovacs, Uwe Serdült, and Victor Kryssanov

• CLIP: Train Faster with Less Data

Muhammad Asif Khan, Ridha Hamila, and Hamid Menouar

• Pairs Trading Strategy Optimization Using Proximal Policy Optimization Algorithms

Yi-Feng Chen, Wen-Yueh Shih, Hsu-Chao Lai, Hao-Chun Chang, and Jiun-Long Huang

• An Auditable and Efficient Prepaid Scheme with Privacy Preservation in Smart Grids

Zhiyuan Sui, and Jing Li

 

​Session 3A: Deep Learning

15:15 – 17:00, February 14 (Tuesday), 2023

Chair: Makoto P. Kato, University of Tsukuba

• Federated Learning with Intermediate Representation Regularization

Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, and Choong Seon Hong

• Lazy Node-Dropping Autoencoder

Jaewon Lee, Myungjun Kim, and Hyunjung Shin

• Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study

Jurn-Gyu Park, Damir Seit, and Kuanysh Tokayev

• A GPU-based Tensor Decomposition Method for Large-Scale Tensors

Jihye Lee, Kang-Wook Chon, and Min-Soo Kim

 

​Session 3B: Graph Mining

15:15 – 17:00, February 14 (Tuesday), 2023

Chair: Kai Cheng, Kyushu Sangyo University

• A BERT-enhanced Graph Neural Network for Knowledge Base Population

Heechul Lim, and Min-Soo Kim

• LFP: Layer Wise Feature Perturbation based Graph Neural Network for Link Prediction

Md Golam Morshed, and Young-Koo Lee

• Inductive Graph-based Knowledge Tracing

Donghee Han, Daehee Kim, Keejun Han, and Mun Yong Yi

• Fast Integration for Multiple Graphs with Neumann Approximation

Taehwan Yun, Myung Jun Kim, and Hyunjung Shin

 

​Session 4A: Data Mining

17:15 – 19:00, February 14 (Tuesday), 2023

Chair: Kyuseok Shim, Seoul National University

• JIDECA: Jointly Improved Deep Embedded Clustering for Android activity

Sungmin Choi, Hyeon-Tae Seo, and Yo-Sub Han

• Evaluating Mitigation Approaches for Adversarial Attacks in Crowdwork

Christopher G. Harris

• Outlier-aware Cross-Market Product Recommendation

HyeoungGuk Kang, Donghoon Lee, and Hyunsouk Cho

• Edge-Cloud Collaboration Architecture for Efficient Web-Based Cognitive Services

Zhaoyan Wang, and In-Young Ko

 

​Session 4B: Smart Medicine and Bioinformatics I

17:15 – 19:00, February 14 (Tuesday), 2023

Chair: Uichin Lee, KAIST

• Machine learning-based prediction for 30-day unplanned readmission in all-types cancer patients

Hyojung Jung, Hyun Woo Park, Yumin Kim, and Yul Hwangbo

• Prediction of Chemotherapy-Induced Neutropenia using Machine Learning in Cancer Patients

Yumin Kim, Yeji Lee, Hyun Woo Park, Hyojung Jung, Yul Hwangbo, and Hyo Soung Cha

• An ECG Beat Classification Method using Multi-kernel ResNet with Transformer

Sangil Chon, Kwon-Woo Ha, Seongjae Park, and Sunghoon Jung

• One Year Mortality Prediction in Heart Failure using Feature Selection and Missing Value Imputation in Deep Learning

Taehyun Kim, Minwook Kim, Hye Won Lee, and Giltae Song

 

 

Main Conference Day 2: February 15 (Wednesday), 2023

 

​Session 5A: Smart Medicine and Bioinformatics II

09:00 – 10:45, February 15 (Wednesday), 2023

Chair: Kazuo Goda, The University of Tokyo

• Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data

Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin, and Soo Youn Lee

• Actionable Suggestions in Support of Rehospitalization Risk Predicted by Artificial Intelligence

Giada Confortola, Mika Takata, Naoaki Yokoi, and Masashi Egi

• Neural Classification of Terrestrial Biomes

Vyacheslav Shen, Dong-Kyum Kim, Elke Zeller, and Meeyoung Cha

 

​Session 5B: Natural Language Processing

09:00 – 10:45, February 15 (Wednesday), 2023

Chair: Keejun Han, Hansung Univeristy

• What Rather Than How: A DMR Topic Modeling Analysis of News Coverage on the British Museum

Minwoo Kim, Haein Lee, Seon Hong Lee, and Jang Hyun Kim

• Speech Recognition for Turkic Languages Using Cross-Lingual Transfer Learning from Kazakh

Daniil Orel, Rustem Yeshpanov, and Huseyin Atakan Varol

• Dialogue Response Evaluation Model with Conversational Feature Sensitive Negative Sampling

Dongjun Kang, and JinYeong Bak

• Automatic Rule Definition for Pattern-Based Text Mining

Minoki Kuriu, Israel Mendonça, and Masayoshi Aritsugi

 

​Keynote Speech 2

11:00 – 12:15, February 15 (Wednesday), 2023

Chair: Jae-Gil Lee, KAIST

• Real-time Forecasting of Big Time-series Data: Foundations and Challenges

Yasushi Sakurai, Osaka University

 

​Organizing Committee Business Meeting

13:30 – 14:45, February 15 (Wednesday), 2023

Moderator: Jinyoung Yeo, Yonsei University

 

 

​Session 6A: Image Processing

15:00 – 16:45, February 15 (Wednesday), 2023

Chair: Askat Kuzdeuov, Nazarbayev University

• Attention Masking for Improved Near Out-of-Distribution Image Detection

Minho Sim, Jongwhoa Lee, and Ho-Jin Choi

• Enhancing Image Representation in Conditional Image Synthesis

Jonghwa Shim, Eunbeen Kim, Hyeonwoo Kim, and Eenjun Hwang

• AnyFace: A Data-Centric Approach for Input-Agnostic Face Detection

Askat Kuzdeuov, Darina Koishigarina, and Huseyin Atakan Varol

 

​Session 6B: Sentiment Analysis

15:00 – 16:45, February 15 (Wednesday), 2023

Chair: Israel Mendonça dos Santos, Kumamoto University

• A Comparative Study on Bengali Speech Sentiment Analysis Based on Audio Data

Abanti Chakraborty Shruti, Rakib Hossain Rifat, Marufa Kamal, and Md. Golam Rabiul Alam

• Text Augmentation Based on Integrated Gradients Attribute Score for Aspect-based Sentiment Analysis

Noviyanti Santoso, Israel Mendonça, and Masayoshi Aritsugi

 

​Poster Session

17:00 – 18:00, February 15 (Wednesday), 2023

Chairs: Suan Lee, Semyung University

• TCAC-GAN: Synthetic Trajectory Generation Model Using Auxiliary Classifier Generative Adversarial Networks for Improved Protection of Trajectory Data

Jihwan Shin, Yeji Song, Jinhyun Ahn, Taewhi Lee and Dong-Hyuk Im

• Transformer-Based Flood Detection Using Multiclass Segmentation

Joo-Chan Park, Dong-Geon Kim, Ji-Ro Yang and Kyo-Seok Kang

• DCA: A Dual-layer Cache Architecture for Providing High Lookup Performance in KV Stores

Jeongho Lee, Yongju Song and Young Ik Eom

• Predicting the Morality of a Character Using Character-Centric Embeddings

Su-Young Bae, Eun-Chong Kim and Yun-Gyung Cheong

• A method for estimating online game player ratings based on game logs: Case study on online chess

Habuki Yamada, Masato Oguchi and Miyuki Nakano

• The Identification of Hot data and Caching strategy for Industrial Big Data Based on Temperature Model

Yao Wang, Jiong Zhao, Qicai Zhou, Xiaolei Xiong, Chuanlin Chen and Heng Zhang

• Latent Inter-relation Augment between Crimes and Criminals using Factorization Machines

Jeongheun Yeon, Jong Ho Jhee and Hyunjung Shin

• Application Identification using Pairwise Classification

Byron Stuike and Yasaman Amannejad

• Comparison of Three Korean Sentiment/Emotion Word Dictionaries

Heeryon Cho

• Federated Learning Framework for Blockchain based on Second-Order Precision

Wenjie Song and Tongjiang Yan

• Offline RL oriented RL Functions Design for Dynamic Power Management on CNN Workloads

Jurn-Gyu Park

• pmmeter: A Microbenchmark for Understanding Synchronization Cost on Persistent Memory

Hirotaka Yoshioka, Yuto Hayamizu, Kazuo Goda and Masaru Kitsuregawa

• Rethinking TPC-C Characteristic: At Logical Write Perspective

Kyongshik Lee and Sang-Won Lee

• System Design for determining the optimal pig shipping time using prediction model based on big data learning

Jin Wook Jang, Jong Hee Lee and Sung Ho Lee

• A prognostic model for classification of COVID-19 severity based on clinical and laboratory testing data

Jae-Bin Lee, Sang Cheol Kim, Ju-Hee Lee and Hye-Yeong Jo

• Knowledge Map Automatic Update System Using Graph Convolutional Network

Hao-Hsuan Huang, Nen-Fu Huang, Jian-Wei Tzeng, Xiao-Ming Dong, Heng-Yu Kao and Tsung-Wei Lin

• Needs and Challenges of Personal Data Visualisations in Mobile Health Apps: User Survey

Yasmeen Anjeer Alshehhi, Ben Philip, Mohamed Abdelrazek and Alessio Bonti

• Improving Generation of Sentiment Commonsense by Bias Mitigation

JinKyu Lee and Jihie Kim

• SmartEye: Detecting COVID-19 Misinformation on Social Media for Mitigating Public Health Risk

Jinwei Liu, Rui Gong and Wei Zhou

• Feature Engineering and Selection for Predicting Foreign Exchange Rates

Hyunse Kim, Hyungbin Yun, Yungyu Lee and Min Soo Kim

• Randomizing Hypergraphs Preserving Two-mode Clustering Coefficient

Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda and Kazuyuki Shudo

• Prediction of Recurrence Probability of Thyroid Cancer Patients using Similarity Loss based Multi-modal Autoencoder

Jaehyun Kim and Hyunjung Shin

• A SimSiam-based Generalized Model Training Technique for Classification of ECG from Heterogeneous Devices

Kwon-Woo Ha, Seong Jae Park, Sangil Chon, Jin-Kook Kim and Sunghoon Jung

• Fast Semi-Supervised Learning using Neighbor Mutual Information with Application to Criminal Networks

Jong Ho Jhee, Myungjun Kim, Myunggeon Park, Jeongheun Yeon, Yoonshin Kwak and Hyunjung Shin

• Health24: Health-related Data Collection from Wearable and Mobile Devices in Everyday Lives

Jaeseok Yun, Jiyoung Woo, Geonwoo Ji, Constantino Msigwa, Denis Bernard and Geon Lee

• DAG-GCN: Directed Acyclic Causal Graph Discovery from Real World Data using Graph Convolutional Networks

Sejoon Park and Jihie Kim

• NFTeller: Dual Centric Visual Analytics of NFT Transactions

Yifan Cao, Meng Xia, Kento Shigyo, Furui Cheng, Qianhang Yu, Xingxing Yang, Hongkun Liu, Wei Zeng, Yang Wang and Huamin Qu

• Adverse Drug Reaction Posts Detection with a Bi-LSTM based approach

ChungChun Lee, Seunghee Lee, MiHwa Song, Suehyun Lee and Jongyeop Kim

• Anomaly Definition for Unlabeled Access Logs and Pairwise Comparison-based Validation

Jihoon Moon and Hyuk-Yoon Kwon

• Dealloc FTL: Efficiently Managing Temporary Files on SSDs

Joontae Kim and Sang-Won Lee

• MTFT : Multi-Tenant Fair Throttling

Ilhan Song and Sang-Won Lee

 

 

 

Main Conference Day 3: February 16 (Thursday), 2023

 

​Session 7A: Understanding Multi-modal Data

09:15 – 11:00, February 16 (Thursday), 2023

Chair: Atakan Varol, Nazarbayev University

• MMTS: Multimodal Teacher-Student Learning for One-Shot Human Action Recognition

Jongwhoa Lee, Minho Sim, and Ho-Jin Choi

• Deep Learning-based AOI System for Detecting Component Marks

Yi-Ming Chang, Ti-Li Lin, Hung-Chun Chi, and Wei-Kai, Lin

• Jobicon:A Job Icon Dataset for Concept Recognition by Understanding Compositionality

SooYeon Park, Hyunseo Park, Hyuntak Kim, Yongsang Yoo, and Min Song

• Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance

Yeonghyeon Park, Myung Jin Kim, and Won Seok Park

 

​Session 7B: Time Series

09:15 – 11:00, February 16 (Thursday), 2023

Chair: Nesrine Berjab, Tokyo Institute of Technology

• MENDEL: Time Series Anomaly Detection using Transfer Learning for Industrial Control Systems

Jeongyong Park, Bedeuro Kim, and Hyoungshick Kim

• Temporal Convolutional Network-Based Time-Series Segmentation

Hyangsuk Min, and Jae-Gil Lee

• Predicting Next Application Most Likely Used with Word Embedding and Time-Series Data Encoding

Taieui Song, and Gahgene Gweon

 

 

 

 

 

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