I am currently pursuing a Ph.D. in Computer Technology at the University of Science and Technology of China (USTC), where I am a member of the Visual Geometry Group (USTC-VGG) at the National Engineering Laboratory for Brain-inspired Intelligence Technology and Application (NEL-BITA), under the supervision of Prof. Xuejin Chen. During my master’s studies (2024-2026), I was jointly trained in the group of Prof. Meng Wang (IEEE/IAPR Fellow) at the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, and advised by Assoc. Prof. Jinyang Huang. I received my B.Eng. in Microelectronics from Hefei University of Technology in 2024.
My research centers on brain-inspired multimodal perception and cognitive intelligence, with a particular focus on visual representation, brain-inspired model design for affective, cognitive, and embodied intelligence, and AI for Science. In the long run, I aim to build intelligent systems that are efficient, trustworthy, generalizable, and personalized for complex real-world interactive scenarios. Along these directions, I have published 11 papers, including publications in a PNAS journal, CCF-A venues, and IEEE/ACM Transactions, with 4 first-author papers. I also actively contribute to academic community building, and currently serve as the Leader of the Student Working Group at the Anhui Provincial Key Laboratory of Affective Computing and Advanced Intelligent Machines. Previously, I served as the Leader of the Student Working Group of the Affective Computing Committee under the Anhui Society for Artificial Intelligence.
Beyond research, I am also interested in translating technology into real-world applications. As project lead, I received a National Silver Award in the 8th China International College Students’ “Internet+” Innovation and Entrepreneurship Competition, as the only industry-track project from Anhui Province to win at the national level. I am also a Co-founder of XSheng Tech, where we are building high-performance computing and intelligent R&D infrastructure for the era of foundation models. Our team has open-sourced the MEGREZ platform and is already serving more than ten research institutions and commercial companies. I welcome opportunities for trial, collaboration, and broader deployment.
Education & Work Experience
Honors & Services
- IEEE Communications Society MMTC 2025 Technology Competition, Silver Award Certificate
- Hefei University of Technology, one of the Top Ten Outstanding Students (10 selected university-wide)
- CCF First Ubiquitous Intelligent Perception Technology Innovation Competition, Second Prize (ranked 2/5) Details
- The 8th China International College Students' "Internet+" Innovation and Entrepreneurship Competition, National Silver Award (ranked 1/15; the only Anhui industry-track project entering the national on-site final) Report 1 Report 2
- Reviewer: IEEE TAFFC, IEEE TMM, IEEE TCSVT, IEEE OJCS, IEEE IoTJ
- Baidu PaddlePaddle Developers Experts (PPDE) Profile
News
- 2026.05: 🎉🎉 One paper about Video-based Personality Assessment is accepted to IEEE T-AFFC (CCF Rank B)！Thanks to Prof. Jinyang Huang, Dan Guo and Prof. Meng Wang for their guidance!
- 2026.05: 🎉🎉 One paper about Video-Based Affective Computing is accepted to IEEE T-CE！Thanks to Mr. Jinyang Huang for his guidance!
- 2026.04: 🎉🎉 One collaborative paper about Embodied AI is accepted to IJCAI 2026 (CCF Rank B)!
- 2026.04: 🎉🎉 One collaborative paper about EEG Auditory Attention Decoding is accepted to CogSci 2026 (CCF Rank B)!
- 2026.04: 🎉🎉 One collaborative paper about Remote Sensing Scene Classification is accepted to IEEE T-GRS (CCF Rank B)!
- 2026.03: 🎉🎉 One collaborative paper about Low-Light Image Super-Resolution is accepted to IEEE ICME 2026 (CCF Rank B)!
- 2026.02: 🎉🎉 One paper about Handwritten Identity Verification is accepted to IEEE T-DSC (CCF Rank A)！Thanks to Mr. Jinyang Huang and Prof. Meng Li for their guidance!
- 2026.01: 🎉🎉 One collaborative paper about 3D Object Detection is accepted to IEEE ICASSP 2026 (CCF Rank B)!
-
2025.12: 🎉🎉 Received the Silver Award in the IEEE Communications Society Multimedia Communications Technical Committee 2025 Technology Competition! Thanks to Mr. Jinyang Huang and Prof. Meng Wang for their guidance!
- 2025.09: 🎉🎉 One collaborative paper about Depression Estimation is accepted to IEEE T-AFFC (CAAI Rank A, CCF Rank B)!
- 2025.07: 🎉🎉 One paper about Distributionally Robust Optimization for DFER is accepted to ACM MM 2025 (CCF Rank A)！Thanks to Mr. Jinyang Huang, Jie Zhang and Prof. Meng Wang for their guidance!
- 2025.02: 🎉🎉 One collaborative paper is accepted to PNAS Nexus (Presss Interest Paper)！Thanks to Prof. Liyan Song for his guidance!
Selected Publications
Robust Visual Intelligence
This direction studies robust representation learning for fine-grained visual understanding across images, videos, and 3D scenes, focusing on distribution shifts, long-tailed categories, low-quality imaging, cross-subject generalization, geometry-aware perception, and subtle visual variations.
Brain-inspired and Affective Cognitive Intelligence
This direction explores brain-inspired perceptual and cognitive modeling by learning trustworthy representations of affective, physiological, and cognitive signals, covering dynamic facial expressions, depression assessment, respiratory monitoring, sleep health, auditory attention decoding, cross-subject cognitive modeling, and future neural structure analysis.
Feng-Qi Cui, Anyang Tong, Jinyang Huang, Jie Zhang, Meng Li, Xin Yan, Linsheng Huang, Dan Guo, Meng Wang
Feng-Qi Cui, Jinyang Huang, Sirui Zhao, Kun Li, Zhi Liu, Meng Li, Ziyu Jia, Dan Guo, Meng Wang
Siying Tao, Jingjing Hu, Jinyang Huang, Feng-Qi Cui, Xueliang Liu, Dan Guo
Multimodal and Embodied Intelligence
This direction investigates multimodal foundation models, embodied intelligence, and ubiquitous sensing for real-world interactive systems, focusing on semantic distillation, multimodal alignment, wireless sensing, tactile perception, embodied control, identity perception, and trustworthy personalized interaction.
Changlin Chen, Sisheng Chen, Hang Zhang, Xianglai Zhou, Zhen Tian, Weitao Liu, Feng-Qi Cui, Erbao Dong, Wenjing Chen
AI for Science
This direction explores interdisciplinary intelligent computing for scientific discovery, including complex systems, environmental science, bio-inspired analysis, and scientific modeling.
