Research
Our research group is dedicated to building an interdisciplinary innovation hub where artificial intelligence serves as the core driving force, bridging computer science with bioinformatics, fintech, and computer vision. We aim to transcend traditional disciplinary boundaries, leveraging advanced AI techniques, from computer vision for high-precision pattern recognition to reinforcement learning for dynamic decision-making, to tackle complex challenges in bioinformatics, financial systems, and industrial applications.
News & Events
Our paper Dynamic Uncertainty-Aware Adjustment via Learnable Coefficients for 3D Reconstruction of Loose-Clothed Humans from Single Images got accepted by Pacific Graphics 2025 and selected as Computer Graphics Forum journal paper, July 2025
Our paper Identity-Preserving Facial Aesthetic Enhancement via Hierarchical Prompt Learning and Pivotal Tuning got accepted by ACM Multimedia 2025 , July 2025
Recent Publications
Identity-Preserving Facial Aesthetic Enhancement via Hierarchical Prompt Learning and Pivotal Tuning
Fangli Ying, Zhihong Zhang, Liting Zhou, Cathal Gurrin, Jinhai Wang
ACM Multimedia 2025
Enhancing Single-View 3D Clothed Human
Reconstruction with Hybrid Prior Integration
Fangli Ying, Yunze Li, Yadan Yang, Aniwat Phaphuangwittayakul and Riyad Dhuny
Computer graphics International 2025
Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model
Fangli Ying, Wilten Go, Zilong Li, Chaoqian Ouyang, Aniwat Phaphuangwittayakul, Riyad Dhuny
International Journal of Molecular Sciences 2025
Unveiling Technological Evolution with a Patent-Based Dynamic Topic Modeling Framework: A Case Study of Advanced 6G Technologies
AJiang, Jieru, Fangli Ying, and Riyad Dhuny
Applied Sciences 15, no. 7: 3783. https://doi.org/10.3390/app15073783
Enhancing Multimodal Video
Summarization via Temporal and Semantic Alignment
Fangli Ying, Ziyue Luo, Aniwat Phaphuangwittayakul
ICONIP 2024
Few-shot image generation based on contrastive meta-learning generative adversarial network
Aniwat Phaphuangwittayakul, Fangli Ying, Yi Guo, Liting Zhou & Nopasit Chakpitak
Visual Computer 39, 4015–4028 (2023). https://doi.org/10.1007/s00371-022-02566-3
Personalized facial beauty assessment: a meta-learning approach
Irina Lebedeva, Fangli Ying, Yi Guo
Visual Computer 39, 1095–1107 (2023). https://doi.org/10.1007/s00371-021-02387-w
Adaptive adversarial prototyping network for few-shot prototypical translation
Aniwat Phaphuangwittayakul, Fangli Ying, Yi Guo, Surachai Santisookrat
Journal of Visual Communication and Image Representation 2023
An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury
Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Ahmad Yahya Dawod, Salita Angkurawaranon & Chaisiri Angkurawaranon
Applied Intelligence 2022
MEBeauty: a multi-ethnic facial beauty dataset in-the-wild
Irina Lebedeva, Yi Guo, Fangli Ying
Neural Computing and Applications (2022) 34:14169–14183
Fast Adaptive Meta-Learning for Few-Shot Image Generation
Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying
IEEE Transactions on Multimedia, vol. 24, pp. 2205-2217, 2022, doi: 10.1109/TMM.2021.3077729.
Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task
Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Wentian Xu， Zheng Zheng
2021 IEEE International Conference on Multimedia and Expo (ICME)
Teaching
Online Textbooks
Introduction to Engineering
Created by Dr. Fangli Ying, for undergraduate course《Introduction to Engineering》 in ECUST, 2022,2023,2024,2025
Deep Learning
Created by Dr. Fangli Ying, 研究生课程教材《深度学习原理及其应用》 in ECUST, 2023,2024,2025
Multi-Armed Bandits
Created by Dr. Fangli Ying & Prof. Osman Yağan, for iHub Summer Camp, 2024,2025
Teaching courses
- Undergraduate courses：Introduction to Engineering，Scientific Writing ，Digital Circuit and Logic Design，JAVA Programming，Computer Vision，Inroduction to Computer Science
- Postgraduate courses： Deep Learning Principles and Applications
- iHub：Multi-Armed Bandits (with Prof. Osman Yagan from CMU)， Algorithms for Cloud Storage (with Prof. Lara Dolecek from UCLA)
- Adult Education Courses：Information Security，Artificial Intelligence ，Multimedia Technology ，Embedded Systems
Team Members
Group meetings and industrial meetings
Current Master Students
Yuanhao Li
Wilten Go
Mahzaib Khalid
Ahmed Mohammed Atef Al-Garadi
Zhihong Zhang
Guoqiang Yang
Zilong Li
Yadan Yang
Lijuan Zhou
Yushan Li
Yuanhao Li
Yuhao Zhang
Xinyu Gao
ELIAS TARIQ MOHAMMED AHMED QAID
Alumni
Dr. Riyad Dhuny
Senior Lecturer at University of Technology, Mauritius
Visiting ECUST during 2025
Dr. Aniwat Phaphuangwittayakul
Lecturer in ICDI Chiangmai University
Previous Ph.D student in ECUST
Dr. Irina Lebedeva
Senior AI engineer at Docler Holding in Budapest
Previous Ph.D student in ECUST
Ru Fan
SoftwareTesting engineer in HuaWei
Previous Master student in ECUST
Ziyue Luo
Software Developer in MeiTuan
Previous Master student in ECUST
Funding Positions and Recruitments
We have funding positions for outstanding international scholars to visit our research group for short or long term, please contact me via email.
We are looking for highly motivated PhD students and postdoctoral researchers to join our research group. If you are interested in applying for funding positions, please contact me via email.
We are currently recruiting Master students in the following areas: Computer Vision, LLM Agent, Reinforcment Learning for Financial Trading, AI for Protein or Drug Design. If you are interested in joining our group, please feel free to contact me via email.
We are also looking for talented undergraduate students to join our research group. If you are interested in joining our group, please feel free to contact me via email.