Congratulations to the student team composed of Phan Nguyen Huu Phong, Tran Duc Luong, Le Hoang Phuc, Tran Dinh Khoa, and Tran Kim Ngoc Ngan from TeamQ - Wanna.W1n Information Security Club, and the research group InSecLab, for having their research paper on Lifelog Event Retrieval (Event Retrieval in Videos) accepted for presentation at the 12th Symposium on Information and Communication Technology (SoICT 2023) - an international scientific conference. The scientific paper is the result of the research and development process aiming to efficiently query everyday life event information from video data in the AI Challenge 2023. This achievement is an encouraging milestone for TeamQ members who conducted scientific research and participated in academic competitions related to the applications of Artificial Intelligence (AI) in various aspects of life within the Information Security Lab (InSecLab) through the WannaQuest Q2023.1 training program. Details of the Scientific Paper: Paper Title: "DoppelSearch: A Novel Approach to Content-Based Video Retrieval for AI Challenge HCMC 2023" Student Contributors: Phan Nguyen Huu Phong - Computer Science Talent Program (KHTN2022) Tran Duc Luong - Information Security Talent Program (ATTN2019) Le Hoang Phuc - High-Quality Information Technology Program (CNCL2020) Tran Dinh Khoa - Information Security Talent Program (ATTN2022) Tran Kim Ngoc Ngan - Computer Science Talent Program (KHTN2022) Supervisors: Dr. Pham Van Hau & B.S. Nguyen Huu Quyen General Information about the Conference: SoICT 2023 is an international scientific conference focusing on information technology and communication. It covers essential research areas, including AI and Big Data foundations, Networking Technologies and Communications, Image Processing and Natural Language, Software Engineering, Artificial Intelligence, Digital Technologies, Information Security, and Event Retrieval from Videos. SoICT 2023 will be held in Ho Chi Minh City and organized by the School of Information and Communication Technology - Hanoi University of Science and Technology, VNUHCM-University of Science, Laboratory Informatics, Modelling, and Optimization System (LIMOS), The French National Centre for Scientific Research (CNRS), and the Institute of Advanced Studies in Mathematics on December 7-8, 2023. Abstract: "Video retrieval, which has been considered as a critical task in the field of computer vision and pattern recognition recently, finds extensive applications in several aspects such as education, entertainment, security, and healthcare. However, it faces challenges due to the complexity of video data, the instability in feature extraction methods, or the semantic disparities between videos and text. In this paper, we present a novel approach for content-based video retrieval, named DoppelSearch, leveraging the CLIP (Contrastive Language-Image Pre-training) model architecture to classify and label video segments, offering users the ability to search for videos based on specific content . Our method capitalizes on the ViT-b/32 model for feature extraction and employs feature embedding, in conjunction with the Faiss library, to enhance search efficiency. Experimental results demonstrate our model's high accuracy and swift retrieval times, promising new opportunities in content-based video retrieval for researchers, developers, and end-users. This paper not only introduces the application of the CLIP and ViT-b/32 models, but also elaborates on the specific feature extraction process and the utilization of Faiss for optimizing video retrieval. The DoppelSearch method represents a significant stride in the field of video retrieval and holds promise for diverse applications across various industries." Link to the conference: https://soict.org/submission/paper-submission/ For more details, visit: https://www.facebook.com/inseclab/posts/pfbid0urDxEpRAJGgYRgRbfFv... Ha Bang - Media Collaborator, University of Information Technology Translation: Nhat Hien  

Are you still struggling with how to effectively review during the midterm break? Do you lack knowledge of the structure of a midterm exam and its different sections? Are you looking to consolidate the most essential knowledge for efficient midterm preparation? Well, this announcement is intended for you. The BHT Faculty Union will be organizing a midterm review series for Class K18. All you need to do is grab your pen and paper and join us for effective preparation to achieve the best results in the upcoming midterm exams. We believe that together, we will have productive study hours. Don't forget to take note of the schedule for the midterm review series. The schedule for the series of activities is as follows: - Calculus (Session 1): 7:00 PM, Wednesday, 25th October 2023. - Linear Algebra: 7:00 PM, Thursday, 26th October 2023. - Calculus (Session 2): 7:00 PM, Friday, 27th October 2023. - Introduction to Circuits: 7:00 PM, Thursday, 28th October 2023. Location: Microsoft Teams - Access Code: r13u4cl Through these review sessions brought to you by the BHT Faculty Union of Computer Networks and Communications, we hope that Class K18 students will equip themselves with the necessary skills and knowledge to excel in the upcoming midterm exams. Wishing all of you an efficient study time and great success in your upcoming exams. Further information: https://www.facebook.com/uit.nc/posts/pfbid07dDzLHnjv5WRYcwcSqusQxk975zS5P49ek6dCF8DQdnMRkwu11HDwmFg9CLZaUT6l Written by: Ha Bang Translated by: Ngoc Diem

Are you looking for study partners to conquer the upcoming exams? Do you need a place to solidify your knowledge and practice various exercises? If so, join our review sessions, "BHT Network House," where we will provide energetic and informative review sessions. Together, we will summarize the knowledge and get acquainted with different exercise formats. Here is our meeting schedule: Subject: Computer Architecture Time: 07:00 PM, Monday, October 23 Subject: Introduction to Computer Networks (Session 1) Time: 07:00 PM, Tuesday, October 24   Subject: Introduction to Computer Networks (Session 2) Time: 07:00 PM, Wednesday, October 25 Subject: Database Systems Time: 07:00 PM, Friday, October 27 Platform: Online on Microsoft Teams – Code: r13u4cl Please Note: Prepare paper, pen, your computer, and a stable internet connection for the review sessions to be most effective. Remember, luck favors the prepared mind. See you in the upcoming review sessions! Detailed Information:  https://www.facebook.com/uit.nc/posts/pfbid0NfNj76BcMX9iTG3arCB4WEyogh93reXFUcSccVPnVtdYrU26JaM2QohSBfBiVcHNl Hải Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

N1CTF is an online CTF competition organized by the Nu1L team, one of the leading CTF teams in China. The team has achieved remarkable milestones, including being the top winner of WeCTF 2022, D^3CTF 2022, and this year's SCTF-2023.   Competition Details: Duration: From 7:00 AM on October 21, 2023, to 7:00 AM on October 23, 2023 Format: CTF - Jeopardy Participation: Team-based Prizes: $2,700 in cash prizes. Additionally, there are special prizes for the top 3 teams that solve specific challenges set by the organizers. For detailed competition information, please visit: https://ctf2023.nu1l.com/ Note: The results of N1CTF 2022 will be counted towards the achievements of UIT Honors Challenge 2023. After the competition concludes, teams achieving notable results are requested to fill out the following form: Result Submission Form For any inquiries, discussions, or clarifications, please feel free to message the fan page of Information Security Lab – UIT InSecLab Detailed Information:  https://www.facebook.com/inseclab/posts/pfbid02LGEtWS7ULp2BsX6yVe7JW1St6Bhck7FP4NZbSCr1fMn7ALZABDH7XctCPb9Yo2Egl Hải Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

We have completed one-fourth of the academic journey for the year 2023-2024. Soon, you will be facing your first student examination. No need to worry, the Software Engineering Academic Committee is here to support you. We will organize training sessions to help you consolidate your knowledge and prepare for these exams.   Details of the Training Sessions: Linear Algebra: Session 1: Theory and Some Example Exercises (Offline) Location: Building B, Room B7.08 Time: 10:00 AM, October 24, 2023 Trainers: Tiền Minh Dương KTPM2023.1 Lưu Bình KTPM2023.1   Session 2: Practice Exam Solutions (Online) Location: Microsoft Teams Code: w2dsy1q Time: 07:30 PM, October 24, 2023 Trainers: Tạ Hoàng Hiệp KTPM2023.1 Phạm Trần Khánh Duy KTPM2023.1   Calculus: Session 1: Theory and Some Example Exercises (Offline) Location: Building B, Room B7.08 Time: 10:00 AM, October 25, 2023   Trainers: Võ Chí Cường KTPM2023.1 Nguyễn Đình Thiên Quang KHTN2023   Session 2: Practice Exam Solutions (Online) Location: Microsoft Teams Code: w2dsy1q Time: 07:30 PM, October 25, 2023 Trainers: Quách Vĩnh Cơ KTPM2023.1 Nguyễn Thành Đạt CNNB2023.1   Organization & Computer Architecture II: Session 1: Theory and Some Example Exercises (Offline) Location: Building B, Room B7.08 Time: 10:00 AM, October 27, 2023 Trainers: Từ Thị Tú Uyên KTPM2023.3 Đặng Minh Nhật KTPM2023.2   Session 2: Practice Exam Solutions (Online) Location: Microsoft Teams Code: w2dsy1q Time: 07:30 PM, October 27, 2023 Trainers: Võ Xuân Ngọc KTPM2023.2 Nguyễn Đình Huy KTPM2023.1   Good luck with your preparations. For further details, please contact the Software Engineering Academic Committee. Let's excel together! Detailed Information:  https://www.facebook.com/bhtcnpm/posts/pfbid033GwpoydizyJ78Pkuv5UUdoqXwuPu5wRt1s6gToC4WKn5zQRP9a1dixrUswdvQFuUl Hải Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang  

Congratulations to the group of students whose research paper on "Phishing Website Detection Techniques" was accepted for presentation at the 12th Symposium on Information and Communication Technology (SoICT 2023) International Scientific Conference. SoICT 2023 Conference will be held in Ho Chi Minh City and is organized by the Information Technology and Communication Technology Department of Hanoi University of Science and Technology, Ho Chi Minh City University of Science, Laboratory Informatics, Modelling and Optimisation System (LIMOS), The French National Centre for Scientific Research (CNRS), and the Advanced Institute of Combined Mathematics Research. The conference is scheduled for December 7-8, 2023. This scientific paper is the result of a research project carried out by these students in collaboration with the InSecLab research team during their participation in their graduation thesis work. The research focused on techniques for detecting deceptive attacks using artificial intelligence in the Information Security Laboratory (InSecLab). Details about the research paper: Title: "Shark-Eyes: A multimodal fusion framework for multi-view-based phishing website detection." Students involved: - Võ Quang Minh - Information Security (Class of 2020) - Bùi Tấn Hải Đăng - Information Security (Class of 2020) - Trần Kim Ngọc Ngân - Computer Science (Class of 2022) Research Topic: Artificial Intelligence and Information Security Supervisors: ThS. Phan Thế Duy and TS. Phạm Văn Hậu General Information: SoICT 2023 is an international scientific conference specializing in information technology and communication technology, encompassing significant research fields such as AI and Big Data, Networking Technologies and Communication, Image and Natural Language Processing, Software Engineering, Artificial Intelligence, Digital Technology, Information Security, and Video Event Information Retrieval. Abstract: In the current era of escalating cyber threats, phishing attacks exploit online security vulnerabilities. This paper introduces "Shark-Eyes," an innovative multimodal fusion framework designed for phishing website detection using a multi-view approach. This approach combines two distinct attributes: domain features and HTML tag features extracted from the target websites. The framework's effectiveness is assessed through comprehensive experiments on a dataset sourced from Phishtank, OpenPhish, and Alexa, encompassing real-world phishing instances. Our results demonstrate the robustness and efficiency of the Shark-Eyes framework in accurately identifying phishing websites, highlighting its potential as a valuable tool for enhancing online security and thwarting malicious activities. For more information on the conference, you can visit the following link: https://www.facebook.com/inseclab/posts/pfbid02btnyAnAejdKwYPqRMNFZV5bUWeqasZZRjQJ5nW7q1MBopQewMVXfbK2DpUkczCvQl Written by: Hai Bang Translated by: Ngoc Diem

Students Involved: Tran Dinh Khoi - 26511482 - Computer Science - Lead Author Bui Viet Dat - 20521162 - Computer Science - Co-Author Supervisor: Dr. Luong Ngoc Hoang   Paper Summary: The ability to access models that generate images from text (Text-to-image generation) has been increasing in recent years. These demands finding appropriate prompts to create high-quality images that satisfy user criteria. A prompt is a specific text input created by users to instruct image generation systems. However, creating suitable prompts manually remains a significant challenge. Currently, there are automated methods using Evolutionary Algorithms to develop a population of prompts over generations until suitable prompts are found to generate desired images. The EvoGen framework, utilizing Genetic Algorithms, is an evolving framework to optimize highly anticipated prompts. However, the results obtained have lacked consistency. In this paper, we implement an alternative Genetic Algorithm setup for EvoGen. This implementation protects exceptional individuals, ensuring that valuable prompts are not accidentally eliminated due to the randomness inherent in genetic algorithms. Additionally, we introduce a new loss function, the cosine loss function, to achieve faster convergence and better guide image generation. We would like to express our gratitude to Dr. Luong Ngoc Hoang, Ph.D. in Computer Science at University of Information Technology, for his dedicated guidance and for pointing out our limitations during our research and the publication of this international scientific paper. The MAPR 2023 Conference (6-th International Conference on Multimedia Analysis and Pattern Recognition) is the 6th international conference on multimedia analysis and pattern recognition. The conference serves as a scientific forum for academics, researchers, both national and international, to exchange experiences. It encourages Ph.D. students, postgraduate students, and young scientists to report and exchange their research results and learn from others, especially those with practical applications. The conference organizers have received submissions from scientists. The presentations focus on areas such as recognition and machine learning, multimedia content analysis, biometrics and medical image analysis, computer vision and Robotics, text analysis and recognition, and other related applications. To promote and develop research activities at University of Information Technology, the conference organizers invite experienced researchers, professors, and lecturers from prestigious universities, renowned research institutions, and powerful companies, both domestic and international, within related fields. Detailed Information: https://www.facebook.com/UIT.Fanpage/posts/pfbid02cvXk8QNGiN31wo6bAHxvUd3aGM2PBtPrUBGL6QXacwyx37pMDQiQ6DXX2fB6K6sMl Hai Bang - Communications Collaborator, University of Information Technology English version: Phan Huy Hoang

Title: "ViQP: Dataset for Vietnamese Question Paraphrasing" Authors: Nguyen Quang Sang - 19522122 - CNCL2019 - Primary Author Vo Dinh Thuc - 19522322 - CNCL2019 - Co-Author Nguyen Phan Anh Duc - 19522573 - CNTT2019 - Co-Author Tran Thanh Dang - 20520428 - CNCL2020 - Co-Author Supervisor: Master Nguyen Van Kiet Abstract: Paraphrasing questions is a crucial task in natural language processing, which has various applications such as information retrieval, question answering, and dialogue systems. Despite the importance of this task, there has been little work on Vietnamese question paraphrasing. To fill this gap, we created a new dataset consisting of pairs of questions, each containing a source question and a paraphrased question. The dataset was constructed by collecting questions from various sources and then paraphrasing them using a team of human annotators. We evaluate the questions generated from the model with the BLEU measure and compare it with human performance. We assess the questions generated from the model with the BLEU measure and compare it with human performance and ChatGPT. We express our gratitude to Master Nguyen Van Kiet, Associate Dean of the Faculty of Information Science and Technology, for his dedicated guidance and for pointing out our limitations during the research and publication of this international scientific paper. The 6th International Conference on Multimedia Analysis and Pattern Recognition (MAPR), sponsored by the Vietnamese Association on Pattern Recognition (VAPR), was held in Quy Nhon on October 5-6, 2023. The conference aims to bring together researchers and experts from academia and industry to share the latest research findings, experimental results, and strengthen potential collaboration opportunities in pattern recognition, multimedia analysis, and related fields. Key topics of interest include Pattern Recognition and Machine Learning, Multimedia Analysis, Biomedical Image Analysis and Biometrics, Computer Vision and Robot Vision, Document Analysis and Recognition, and Applications. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid0VwueJjySYAa8xTPSDSBf... Ha Bang - Media Collaborator, University of Information Technology Translation: Nhat Hien

Greetings K17 warriors, it looks like you're gearing up for the mid-term arena, right? Don't worry, the Education Group of Software Engineering Faculty is here to assist you in overcoming the challenges. We'll be sharing valuable experiences to help K17 warriors defeat bosses effortlessly. Save this post for your training sessions. Training Stage Information: Stage 1: Conquering the Operating System: - Content: Theoretical lectures, example exercises, and mock exams. Location: Microsoft Teams Code: w2dsy1q Time: 19:30 on October 23, 2023 Trainers:                           - Phan Nguyen Tuan Anh KTPM2022.1 - Nguyen Lam Thanh Triet KTPM2022.3 - Le Duong Minh Thien KHMT2022.4 Stage 2: Defeating the Computer Network Boss: Stage 2.1: Theory and example exercises (Offline) Location: Building B, Room B7.08 Time: 10:00 on October 26, 2023 Trainers: - Huynh Le Dan Linh KTPM2022.2 - Truong Doan Vu MMTT2022.3 Stage 2.2: Mock exam solving session (Online) -Location: Microsoft Teams Code: w2dsy1q Time: 19:30 on October 26, 2023 Trainers: - Pham Trung Nguyen CNTT2022.2 - Nguyen Viet Khoa KTPM2022.2 Stage 3: Exploring the Database City: - Content: Theoretical lectures, example exercises, and mock exams. Location: Microsoft Teams Code: w2dsy1q Time: 19:30 on October 28, 2023 Trainers: - Le Duy Nguyen KTPM2022.2 - Hoang Gia Phong KTPM2022.2 - Truong Tuan Huy KTPM2022.1 For more details, visit: https://www.facebook.com/bhtcnpm/posts/pfbid0vKR1wsWSRgb... Ha Bang - Media Collaborator, University of Information Technology Translation: Nhat Hien

Why Should You Join a Self-Leadership Course? How can one comprehensively develop skills for oneself? Is it possible to lead others if you do not know how to lead yourself? Recognizing the importance of enhancing and developing soft skills, the Faculty of Information Systems organizes the course "Self-Leadership." By participating in this course, students can gain the following benefits: Understanding and Self-Transformation: Equip yourself with critical thinking skills to facilitate rapid personal development and adaptability in highly dynamic environments. Self-Understanding and Cultural Values: Cultivate attitudes, communication skills, and effective teamwork abilities. Awareness of Self-Importance: Understand the importance of self-awareness and grasp the current realities of life where mutual understanding is lacking. Problem-Solving Skills: Comprehend the root causes of life issues, enabling effective problem-solving and addressing issues at their core. Interactive training methods not only provide students with a solid knowledge base but also enhance teamwork skills. Students will receive guidance and instruction from top Agile training experts. Participants will receive training points. This course prioritizes students from the Faculty of Information Systems. Maximum capacity: 50 students. Course Information: Duration: From 7:30 AM to 4:30 PM, Wednesday, 10/18/2023 Venue: Room E10.1, Building E, VNUHCM-University of Information Technology Registration: https://forms.gle/bzJYWjThQyt4XtiD8 Guest Speaker – Coach: Mr. Hoàng Sỹ Quý (CEO of BitTrain – Agile Training Expert) – CMMI, PMP, ICP-ACC, IPC-ATF, ICP-CAT, ICP-ENT, PMI-ACP, CSM, A-CSM, Scrum@Scale, SPC, PO/PM, pCLP Note: Registration Deadline: Until 10/15/2023. The form will be closed early if the number of registrations exceeds the maximum limit. The official list of students participating in the class will be sent via email and publicly announced on the fan page on 10/16/2023.   STUDENTS WHO REGISTER ARE REQUIRED TO COMMIT: Punctuality: Attend the class on time, following the course schedule (entire day on 10/18/2023 – with a lunch break). Attendance: Students who register but do not attend or arrive late without valid reasons will not receive priority consideration for any future events organized by the Faculty of Information Systems. Detail Information: https://httt.uit.edu.vn/dang-ky-tham-gia-khoa-hoc-lanh-dao-chinh-minh/ Hải Băng - Cộng tác viên Truyền thông trường Đại học Công nghệ Thông tin English version: Phan Huy Hoàng  

The program "UIT Pink Drop" has come to a brilliant and successful close! However, the echoes of this event will forever leave a mark in the hearts of everyone involved - the youth, the enthusiasm, and the dedication. With the message "CONNECTING HEARTS - SHARING HAPPINESS," each volunteer has contributed to ensuring a blood reserve, serving medical treatments, and providing a solid foundation for patients in need. For many, the "367 successful blood donation units" might seem like a small number, but little do they know that for the Organizing Committee of UIT Pink Drop, it signifies immense happiness, the culmination of continuous efforts and dedication. The Organizing Committee sincerely extends their gratitude to all teachers and students of University of Information Technology, as well as students from neighboring universities and colleges - these compassionate hearts have generously donated their blood to the less fortunate. We express our heartfelt thanks for the support from the university, the library, the various departments, and our respected teachers. Additionally, we appreciate the dedication and efforts of the volunteer participants in donating blood! Furthermore, the Organizing Committee extends their apologies to the volunteers who registered but couldn't donate due to limited medical examination samples from healthcare units, ensuring the quality of the blood transfusions for patients. Also, during the event, there were inevitable mistakes and shortcomings in the organization and reception process. Once again, the Organizing Committee sincerely expresses their gratitude and deepest apologies. We hope that you will continue to maintain your passion and youthful spirit to spread goodness to the community! Right now, let's rewind time and immerse ourselves in the moments filled with purpose, dreams, and aspirations, the blood units given to patients. This is the gift that these compassionate hearts want to send to everyone - for collectively creating a meaningful and successful program! For more details, visit: https://www.facebook.com/tuoitre.uit/posts/pfbid02KUNUrqqvk...   Ha Bang - Media Collaborator, University of Information Technology Translation: Nhat Hien

Article Title: "Improving Human-Object Interaction with Auxiliary Semantic Information and Enhanced Instance Representation" Link to the Article: Authors: Le Viet Thinh - 20520781 - Computer Science - Co-author Van Nguyen Ngoc Huyen - 20521424 - Computer Science - Co-author Supervising Teacher: Dr. Nguyễn Tấn Trần Minh Khang Article Summary: Human–Object Interaction (HOI) detection has garnered considerable attention among computer vision researchers as it involves identifying and describing actions between humans and objects. Numerous approaches, such as sequential and end-to-end methods, have been proposed to tackle this problem, with a recent focus on exploring end-to-end systems. This study presents an enhanced end-to-end transformer-based human–object detector based on HOTR, which introduces three improvements. The proposed model improves instance representation through a simple yet effective mechanism, utilizes semantic information to provide contextual understanding and additional knowledge, and incorporates a cross-attention mechanism for fusing multi-level high-level feature maps within the Transformer architecture. Experimental results demonstrate significant performance gains over the baseline HOTR model, making it competitive with other state-of-the-art models on two widely-used datasets: V-COCO and HICO-DET. We extend our gratitude to Dr. Nguyễn Tấn Trần Minh Khang, Vice Rector of the University of Information Technology, for his dedicated guidance, pinpointing our limitations during the research and publication of this international scientific article. Pattern Recognition Letters is an international journal specialized in the field of Pattern Recognition, ranked Q1 with an Impact Factor of 5.1 (according to ScienceDirect), standing 14th globally in the field of Computer Vision and Pattern Recognition and 17th globally in the field of Signal Processing (according to Scimago Institutions Rankings). For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid0XhukQoF... Ha Bang - Media Collaborator, University of Information Technology Translation: Nhat Hien