Program
Saturday, December 23
Saturday, December 23 7:30 - 8:40 (Asia/Saigon)
Registration
Saturday, December 23 8:40 - 9:00 (Asia/Saigon)
Openning
Saturday, December 23 9:00 - 9:45 (Asia/Saigon)
Keynote speaker #1: Visions and Research Directions on the Path to 6G
An Chen, Vice President of Engineering at Qualcomm Technology Licensing (QTL)
Today, the fifth generation (5G) of mobile networks is being commercially deployed worldwide. The momentum continues to grow as expanding coverage and capacity unlock a rich array of new 5G devices and services. In parallel, 5G technologies are evolving into 5G Advanced, a second wave of technology innovations that can deliver on the full promise of 5G. As 5G Advanced evolves, an early vision for 6G is emerging. 6G will be more than just a new radio technology. It is envisioned as a smart, wireless communication fabric that connects people and things, and also as a platform that can sustain the continued expansion of the connected intelligent edge. Beyond enhanced communication capabilities, 6G will also fully unleash the synergistic potential of artificial intelligence (AI), integrated sensing, and novel green technologies. 6G will build on the evolutionary, technical foundation established by 5G Advanced and usher in revolutionary technologies to become the unified innovation platform for 2030 and beyond.
An Chen is Vice President of Engineering at Qualcomm Technology Licensing (QTL), where she leads advanced technology R&D and drives ecosystem development and strategy. She also oversees the QTL startup innovation challenge and the university research collaboration program in several regions. An has years of experience in the wireless industry where she has led teams in research, design, and product development in advanced wireless, machine learning, multimedia, digital health, and IoT. She is a prolific inventor of 450+ patents worldwide and 20+ peer-reviewed publications including several book chapters. An received her Ph.D. in electrical engineering from University of California, San Diego with an emphasis on wireless communication and information theory. She is a member of Phi Beta Kappa and Tau Beta Pi. She was a UC Regents Scholar and a recipient of Powell Graduate Fellowship, Golden Key Fellowship, and other engineering accolades. She currently serves on UCSD Jacobs School of Engineering CAP Executive Board, Qualcomm Women Leadership Council Board, MIT Industrial Liaison Program, and various non-profit organizations.
An Chen is Vice President of Engineering at Qualcomm Technology Licensing (QTL), where she leads advanced technology R&D and drives ecosystem development and strategy. She also oversees the QTL startup innovation challenge and the university research collaboration program in several regions. An has years of experience in the wireless industry where she has led teams in research, design, and product development in advanced wireless, machine learning, multimedia, digital health, and IoT. She is a prolific inventor of 450+ patents worldwide and 20+ peer-reviewed publications including several book chapters. An received her Ph.D. in electrical engineering from University of California, San Diego with an emphasis on wireless communication and information theory. She is a member of Phi Beta Kappa and Tau Beta Pi. She was a UC Regents Scholar and a recipient of Powell Graduate Fellowship, Golden Key Fellowship, and other engineering accolades. She currently serves on UCSD Jacobs School of Engineering CAP Executive Board, Qualcomm Women Leadership Council Board, MIT Industrial Liaison Program, and various non-profit organizations.
Chair: Quang Anh Tran (Posts & Telecommunications Institute of Technology, Vietnam)
Saturday, December 23 9:45 - 10:30 (Asia/Saigon)
Keynote speaker #2: Data-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis
Tomoko Matsui, The Institute of Statistical Mathematics, Tokyo
Tomoko MATSUI (Senior Member, IEEE) received the Ph.D. degree in computer science from the Tokyo Institute of Technology, Tokyo, Japan, in 1997. From 1988 to 2002, she was a researcher in several NTT laboratories, focusing on speaker and speech recognition. From 1998 to 2002, she was a Senior Researcher with the Spoken Language Translation Research Laboratory, ATR, Kyoto, focusing on speech recognition. In 2001, she was an invited Researcher with the Acoustic and Speech Research Department, Bell Laboratories, Murray Hill, NJ, USA, working on identifying effective confidence measures for verifying speech recognition results. She is currently a Professor at The Institute of Statistical Mathematics, Tokyo, working on statistical spatial-temporal modeling for various applications, including speech and image recognition. She received the Best Paper Award from the Institute of Electronics, Information, and Communication Engineers of Japan, in 1993.
Chair: Nguyen Le Minh (Jaist, Vietnam)
Saturday, December 23 10:30 - 11:00 (Asia/Saigon)
Coffee break
Saturday, December 23 11:00 - 11:45 (Asia/Saigon)
Keynote speaker #3: Statistics, Machine Learning, and Data Science: A Historical Review and a Look to the Future
Tru Cao, Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health
Abstract: We are witnessing the beginning of a data driven era with the explosion of data, impact of data on our everyday lives, and advances of data processing methodology and technology. At this juncture, data science has emerged as an interdisciplinary field to deal with data for which statistics and machine learning are two key enablers. Originally, statistics and machine learning appear to have been developed in the different contexts of mathematics and computer science, respectively. Data science has brought them together in which statistics focuses on mathematical foundations and methods, while machine learning is more on algorithms and automated data processing. First, this talk looks back on a timeline of the emergence of statistics, machine learning, data science, and related fields. Second, it reviews a chronology of the invention and context of some important statistical and machine learning methods. Third, it discusses relationships between statistics, machine learning, and data science. Finally, it addresses some challenges and overcoming ways of learning from big data.
Tru Cao (Cao Hoàng Trụ) is a computer scientist and engineer. He obtained his BEng from Ho Chi Minh City University of Technology, MEng from Asian Institute of Technology, and PhD from The University of Queensland. He then did his postdoc at The University of Bristol and The University of California at Berkeley. He worked at the School of Computer Science and Engineering, VNU-HCMC University of Technology, for twenty years. He then visited and taught at the Department of Information Systems and Business Analytics, Eastern Washington University, before joining the current faculty of the Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health. He served as a program committee co-chair of ICADL 2007, RIVF 2008, RIVF 2009, PACIS 2012, PAKDD 2015, and RIVF 2016. He has been a steering committee member of the Pacific Rim International Conference on Artificial Intelligence (PRICAI) since 2006. Currently, he is interested in symptom research in infectious and chronic diseases and knowledge discovery in electronic health records.
Tru Cao (Cao Hoàng Trụ) is a computer scientist and engineer. He obtained his BEng from Ho Chi Minh City University of Technology, MEng from Asian Institute of Technology, and PhD from The University of Queensland. He then did his postdoc at The University of Bristol and The University of California at Berkeley. He worked at the School of Computer Science and Engineering, VNU-HCMC University of Technology, for twenty years. He then visited and taught at the Department of Information Systems and Business Analytics, Eastern Washington University, before joining the current faculty of the Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health. He served as a program committee co-chair of ICADL 2007, RIVF 2008, RIVF 2009, PACIS 2012, PAKDD 2015, and RIVF 2016. He has been a steering committee member of the Pacific Rim International Conference on Artificial Intelligence (PRICAI) since 2006. Currently, he is interested in symptom research in infectious and chronic diseases and knowledge discovery in electronic health records.
Chair: Cuong Pham (Posts & Telecommunications Institute of Technology, Vietnam)
Saturday, December 23 11:45 - 13:30 (Asia/Saigon)
Lunch break
Saturday, December 23 13:30 - 15:10 (Asia/Saigon)
IM1: Image, Computer Vision, Pattern Recognition
Room: Orchid
Chair: Thi-Lan Le (School of Electrical and Electronic Engineering (SEEE) HUST, Vietnam)
- 13:30 Semi-Supervised Learning and Capsule Network for Video Action Detection
- 13:50 Designing Language Recognition System for Deaf through Hand Gestures Using MediaPipe and LSTM
- 14:10 CMC-Net: A New Transformer-based Architecture for Polyp Segmentation
- 14:30 Detection of lane deviation violations using a digital camera: An implementation on the national way in Vietnam
- 14:50 A fast skeleton-based recognition of traffic police gestures with spatial-temporal graph convolutional network
Saturday, December 23 13:30 - 15:10 (Asia/Saigon)
C01: Communications, Networking, Internet of Things, Cloud Computing
Room: Jasmine
Chair: Ngoc Dang (Posts and Telecommunications Institute of Technology, Vietnam)
- 13:30 FPGA-based Secured and Efficient Lightweight IoT Edge Devices with Customized RISC-V
- 13:50 Advanced Feature Processing for IoT-based Intrusion Detection System
- 14:10 Impacts of Transmission Methods on User Perception of 3D Model in Virtual Reality
- 14:30 Triple-band Antenna using Vivaldi DGS and SIW Structure for 802.11ax/be/bd Devices in MANETs
- 14:50 A Distrust Model to Detect Faulty Sensor in an IOT Network
Saturday, December 23 13:30 - 15:10 (Asia/Saigon)
AI1: AI, Data Science, Big Data Analytics, Smart Computing
Room: Arena
Chair: Cong Tran (Posts and Telecommunications Institute of Technology, Vietnam)
- 13:30 Leveraging Local Consecutive Information for Session-Based Recommendation
- 13:50 Incorporating User Time Spent and Graph Neural Network for Session-based Recommendation
- 14:10 Enhancing Training-Free Multi-Objective Pruning-based Neural Architecture Search with Low-Cost Local Search
- 14:30 SmartTrap: An On-Field Insect Monitoring System Empowered by Edge Computing Capabilities
- 14:50 A hybrid model integrating multi-omic and topological information of PPI network for drug synergism prediction
Saturday, December 23 15:10 - 15:40 (Asia/Saigon)
Coffee break
Saturday, December 23 15:40 - 17:00 (Asia/Saigon)
IM2: Image, Computer Vision, Pattern Recognition
Room: Orchid
Chair: Nguyen Linh Trung (Vietnam National University, Hanoi, Vietnam)
- 15:40 3DKD - An effective knowledge distillation-based model for human fall detection
- 16:00 Building An Adaptive Model of Neural Networks To Extract and Classify EEG Signals
- 16:20 Advanced Learning-Based Segmentation of Liver and Tumor 3D Images for Early Disease Diagnosis
- 16:40 Classification Taste-EEG Signals Using Base Neural Network
Saturday, December 23 15:40 - 17:00 (Asia/Saigon)
CY1: Cyber-Security, Cryptography, Blockchain & applications
Room: Jasmine
Chair: Dau Xuan Hoang (Posts and Telecommunications Institute of Technology, Vietnam)
- 15:40 Detecting software vulnerabilities based on source code analysis using GCN Transformer
- 16:00 Detecting Malware Based on Statistics and Machine Learning Using Opcode N-Grams
- 16:20 Small-footprint Reconfigurable Heterogeneous Cryptographic Accelerator for Fog Computing
- 16:40 An Evaluation of IoT Device Performance in Ethereum-based IoT System
Saturday, December 23 15:40 - 17:00 (Asia/Saigon)
AI2: AI, Data Science, Big Data Analytics, Smart Computing
Room: Arena
Chair: Cuong Pham (Posts & Telecommunications Institute of Technology, Vietnam)
- 15:40 A transfer learning-based method for context-aware recommender systems
- 16:00 Sensor Rotational Measurement with GAN-based Virtual Sensor
- 16:20 Matrix Factorization-based Unify Multiple Interactions for Cross-domain Recommendation Services
- 16:40 A Two-Phase Framework for Automated Information Extraction from Curriculum Vitae
Sunday, December 24
Sunday, December 24 7:30 - 8:00 (Asia/Saigon)
Registration
Sunday, December 24 8:00 - 9:40 (Asia/Saigon)
IM3: Image, Computer Vision, Pattern Recognition
Room: Orchid
Chair: Huu-Tien Vu (Post and Telecommunications Institute of Technology, Vietnam)
- 8:00 SegJSW: A Hybrid Model for Knee Osteoarthritis Classification
- 8:20 CellFormer: A DaViT Transformer-based method for Nuclei Segmentation
- 8:40 Budget-Aware Road Semantic Segmentation in Unseen Foggy Scenes
- 9:00 Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments
- 9:20 Semantic features extraction for anomaly detection from real-world videos
Sunday, December 24 8:00 - 9:40 (Asia/Saigon)
C02: Communications, Networking, Internet of Things, Cloud Computing
Room: Jasmine
Chair: Hai-Chau Le (Posts and Telecommunications Institute of Technology, Vietnam)
- 8:00 Secure Short-Packet Communications in Dual-Hop Cooperative IoT Networks with Multiple Eavesdroppers
- 8:20 Performance Evaluation of Simultaneously Transmitting and Reflecting Intelligent Reflecting Surface - Assisted NOMA Networks for Short-Packet Communications
- 8:40 Rate Fairness Optimization for Mixed FSO/RF IRS-Assisted UAV Communication Systems
- 9:00 Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
- 9:20 Implementing Backprojection at Base Station for Precise Localization in Indoor Environment
Sunday, December 24 8:00 - 9:40 (Asia/Saigon)
AI3: AI, Data Science, Big Data Analytics, Smart Computing
Room: Arena
Chair: Quoc-Dung Ngo (PTIT, Vietnam)
- 8:00 Combining EEG and NLP Features for Predicting Students' Lecture Comprehension using Ensemble Classification
- 8:20 Multi-Step Ahead Time Series Prediction Process Based on CEEMDAN Decomposition and Recursive Update Strategy
- 8:40 Mastering the Mask: Harnessing Ensemble Learning for Defect Detection
- 9:00 Emotions in Text - Enhanced Sentiment Analysis using Stacked Ensemble and Custom Threshold
- 9:20 A recommendation algorithm based on user's behaviours in social networks
Sunday, December 24 9:40 - 10:10 (Asia/Saigon)
Coffee break
Sunday, December 24 10:10 - 11:50 (Asia/Saigon)
IM4: Image, Computer Vision, Pattern Recognition
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Room: OrchidChair: Thanh-Hai Tran (Hanoi University of Science and Technology, Vietnam)
- 10:10 MLDSE: Multi-task Learning for Depth and Segmentation Estimation
- 10:30 Learning to Classify Cough Sounds with Dictionary-guided Meta-learning
- 10:50 Dual-Stream Deep Neural Network with Learnable Fusion Weights for 3D Object Detection and Recognition
- 11:10 Enhancing Edge-based Mango Pest Classification through Model Optimization
- 11:30 MonoVINI: Seeing in the Dark with Virtual-World Supervision
Sunday, December 24 10:10 - 11:50 (Asia/Saigon)
CY2: Cyber-Security, Cryptography, Blockchain & applications
Room: Jasmine
Chair: Dang Tuan (Posts and Telecommunications Institute of Technology, Vietnam)
- 10:10 A Zero-shot Deep Learning Approach for Unknown IoT Botnet Attack Detection
- 10:30 A CNN-Based Model for Detecting Malicious URLs
- 10:50 Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection
- 11:10 SafeDocs: A Machine Learning-Based Framework for Malicious PDF Detection Tailored for SMEs
- 11:30 Using Inference and Graph Convolutional Networks for APT Attack Detection
Sunday, December 24 10:10 - 11:50 (Asia/Saigon)
AI4: AI, Data Science, Big Data Analytics, Smart Computing
Room: Arena
Chair: Bui Lam (Le Quy Don University, Vietnam)
- 10:10 Deep Vision Transformer and T5-based for Image Captioning
- 10:30 A dynamic programming with cluster first - route second approach for solving vehicle with pickup and delivery problem in retail industry
- 10:50 On-Chain Reputation Ranking by Adaptive Weighted PageRank
- 11:10 Question Generation: An Experimental Study for Vietnamese Text
- 11:30 Combining Diffusion Model and PhoBERT for Vietnamese Text-to-Image Generation
Sunday, December 24 11:50 - 13:30 (Asia/Saigon)
Lunch break
Sunday, December 24 13:30 - 15:10 (Asia/Saigon)
P1: Poster
Room: Orchid
Chair: Trong-Minh Hoang (Posts and Telecommunications Institute of Technology, Vietnam)
- Combining machine learning with support resistance method in a trading strategy
- High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound
- A rule-based Ensemble Approach for Diarrhoea Outbreak Prediction
- Machine Learning-based ALS Diagnosis Using Gene Expression Data
- An effective approach to Chronic Obstructive Pulmonary Disease diagnosis by using Invertible Transform and Transfer Learning
- A knowledge representation model for designing the knowledge querying system in Programming Language C/C++
- Regular 2k-Directional Polygon Algorithm for Finding the Convex Hulls of big data sets in 2D
- Recognition of schizophrenia patients by EEG signal using the Short Fourier Transform, Continuous Wavelet Transform block utilized with depth-wise separable convolution
- Apply combined model between VGG16 and LightGBM on weather image recognition
- Annual land cover changes (2013-2023) in Vientiane, Lao PDR using time-series composite Landsat 8 images
- Key Information Extraction on Vietnamese Book Cover Images
- Improving Vietnamese Question-Answering system with Data Augmentation and Optimization
- Proposing Appropriate SMS Spam Detection Approaches for Variations of the Vietnamese Language
- A Method for Detecting and Generating Test Data for Runtime Errors in C/C++ Project Units
- Ensemble Method in Parkinson's Disease Classification via EEG signals
- FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera images
- An Effective Method for Detecting Personal Protective Equipment at Real Construction Sites using the Improved YOLOv5s with SIoU Loss Function
Sunday, December 24 13:30 - 15:10 (Asia/Saigon)
Industrial session
Room: Jasmine
Chair: Cuong Pham (Posts & Telecommunications Institute of Technology, Vietnam)
Sunday, December 24 13:30 - 15:10 (Asia/Saigon)
LA: Language and Speech Processing
Room: Arena
Chair: Ngo Xuan Bach (Posts and Telecommunications Institute of Technology, Vietnam)
- 13:30 Data Augmentation with GPT-3.5 for Vietnamese Natural Language Inference
- 13:50 Speaker Verification Using Distance based on Principal Component Analysis for Household Scenario Adaptation
- 14:10 eCMU: An Efficient Phase-aware Framework for Music Source Separation with Conformer
- 14:30 Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis
- 14:50 A Bio-inspired model for audio processing
Sunday, December 24 15:10 - 15:40 (Asia/Saigon)
Coffee break
Sunday, December 24 15:40 - 17:00 (Asia/Saigon)
P2: Poster
Room: Orchid
Chair: Toan-Van Nguyen (San Diego State University, USA)
- Transmission Power Minimization for Active RIS-Assisted TDMA Uplink IoT Systems: Joint Power Allocation and Beamforming Design
- Large-Scale Low-Resolution ADC MIMO Detection with Bandwidth-Efficient Superposition ASK Modulation Scheme
- A Design of SIW-Cavity Reconfigurable Antenna for MIMO Wireless Communication Applications
- A Study on the Efficiency of ML-based IDS with Dimensional Reduction Methods for Industry IoT
- Fine-grained Elasticity for Big Data Stream Processing of IoT Applications
- Empirical Outcomes on Determining Gain Factor of Double Ridged Guide Horn Antenna Utilizing Three Antenna Method
- Mobile Positioning System for Cellular Networks using Reference Signal Received Power
- Enhancing AI-Powered Malware Detection by Parallel Ensemble Learning
- The Impact of Rotational Invariance on Tree- and Deep Learning-based Network Intrusion Detection System
- DeFL-BC: Empowering Reliable Cyberattack Detection through Decentralized Federated Learning and Poisoning Attack Defense
- Benchmarking SVM Variants for Unsupervised Intrusion Detection System
- AKQ: A hybrid quantum-classical image encryption system
- TRASE: A Traffic Surveillance System for Adaptive Speed Estimation of Vehicles from Aerial Videos
- An empirical study of Information Extraction from Vietnamese Documents
- Proposed Congestion Warning System Using YOLOv8 and DeepSORT model
- SuperYOLO8: Enhancing Performance of Object Detection in Real-time Multi-modal Remote Sensing Imagery through SuperYOLO and YOLOv8
- Printed mathematical expression recognition from document images based on augmentation techniques and transformer
- Fintech approach to Real Estate Valuation in Vietnam incorporating land pricing legal framework and local socio-economic characteristics
Sunday, December 24 15:40 - 17:00 (Asia/Saigon)
Panel discussion
Room: Jasmine
Sunday, December 24 15:40 - 17:00 (Asia/Saigon)
SO: Software Engineering, Information System, Computational Modelling
Room: Arena
Chair: Manh Hung Nguyen (Posts and Telecommunication Institute of Technology (PTIT) & UMI UMMISCO 209 (IRD/UPMC), Vietnam)
- 15:40 A Comprehensive Study on Objective Assessment Metrics with Light Field Images
- 16:00 Designing Framework for Evaluating Community of Practice for Software Engineering Project Management
- 16:20 A Novel Relevance Aggregation Approach for Bug Localization
- 16:40 Zero-Shot Voice Conversion Based On Speaker Embedding Domain Generalization
Sunday, December 24 18:00 - 21:00 (Asia/Saigon)
Banquet
Monday, December 25
Monday, December 25 8:30 - 10:30 (Asia/Saigon)
Tutorial
Chair: Ngo Xuan Bach (Posts and Telecommunications Institute of Technology, Vietnam)
PTIT campus, Km10 Nguyen Trai, Ha Dong, Hanoi