Renyuan LIU (刘稔rěn远)

Nice to meet you here! I am an incoming MPhil student at the School of Artificial Intelligence, The Chinese University of Hong-Kong (Shenzhen) at 2026 Fall, under the supervision of Prof. Junjie Hu.

During my undergraduate stage, I am fortunate to be advised by Prof. Qinbing Fu at the Machine Life and Intelligence Research Centre, Guangzhou University, and Prof. Pengcheng Liu at the Department of Computer Science, the University of York, UK.

Open for collaborations in computer science. Happy to chat and you can find my CV here: CV_RenyuanLiu.pdf.

Research Interest

I am eager to explore any area within Artificial Intelligence applications that contributes to the well-being of society.
During my undergraduate studies, my research interests focus on bio-inspired AI and its application: brain-inspired neural networks and machine vision.
My work aims to model insect visual circuits that enable robust, real-time motion perception, and to translate these biologically inspired principles into machine intelligence for addressing a core challenge in robotic navigation: collision detection.

I enjoy hands-on coding/debugging and system implementation
My experimental platforms include the TurtleBots equipped with a binocular camera and the micro ground robot Colias.
Selected code for neuro-embodied micro-robot Colias is available at:

Fly Visuomotor-Inspired Attention-LPLC2 Model (independently, 2k lines of code in C);
Multi-Attention LPLC2 (mLPLC2) Neural Network Model (independently, 3k lines of code in C/C++);
Locust Vision-Inspired Optimized-LGMD Model (independently, 1k lines of code in C).

News

[Jan 19th, 2026] Admitted to the MPhil program at The Chinese University of Hong-Kong (Shenzhen), School of Artificial Intelligence!
[Dec 17th, 2025] Second-Class Scholarship Awarded by Guangzhou University [Top 8%].
[Nov 27th, 2025] Admitted to the PhD program at the University of York, Department of Computer Science.
[Jul 28th, 2025] Paper accepted at Acta Electronica Sinica [CCF-A in Chinese Catogory].
[Jul 22nd, 2025] Paper accepted at Neurocomputing [JCR Q1, SCI-2, IF = 6.5]!
[July 18th, 2025] 30‑min oral presentation at Living Machines 2025, University of Sheffield.
[Jul 11th, 2025] Poster accepted at TAROS 2025.
[Jun 9th, 2025] Paper accepted at Living Machines 2025.
[Apr 1st, 2025] Paper accepted at IJCNN 2025 [CCF-C, AR = 38%].

Experience

The Chinese University of Hong-Kong (Shenzhen), Shenzhen, China
Sept. 2026 - Jun. 2028 (Expected)
MPhil Student in Artificial Intelligence
Supervisor: Prof. Junjie Hu
The University of York, York, UK (On-Site)
Jun. 2025 - Sept. 2025
Visiting Student
Lab: Computational Autonomous Learning Systems Lab, Real-Time and Distributed Systems Research Group, Department of Computer Science
Supervisor: Prof. Pengcheng Liu
[Evidence]
The University of Hong Kong/University of Macau, Hong Kong/Macao, China
Nov. 2023
Interdisciplinary Programme Leader
GPA: 97.50/100.00; Honor: Commendation Letter for Outstanding Performance in the Winning Team
[Evidence]
Guangzhou University, Guangzhou, China
Sept. 2022 - Jun. 2026 (Expected)
Undergraduate Student in Information Security
GPA: 89.81/100.00; Ranking: Top 8%
[Evidence]
Lab: Machine Life and Intelligence Research Center
Supervisor: Prof. Qinbing Fu
[Evidence]

Manuscripts Under Review

R. Liu, H. Zhou, C. Fang and Q. Fu, [Manuscript under double-blind review.] Under review in The 2026 International Conference on Robotics and Automation (ICRA)(CCF-B).
M. Wang^*, R. Liu^*, and Q. Fu, [Manuscript under double-blind review.] Under review in IEEE Transactions on Cognitive and Developmental Systems (JCR Q1, IF = 4.9).

Publications

R. Liu and Q. Fu, Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization. The 2025 International Joint Conference on Neural Networks (CCF-C, acceptance rate ≈ 38%).
G. Gao^*, R. Liu, M. Wang and Q. Fu^*, A Computationally Efficient Neuronal Model for Collision Detection With Contrast Polarity-Specific Feed-Forward Inhibition. Biomimetics, vol. 9, no. 11, p. 650, 2024 (JCR Q1, IF = 3.9).
C. Fang^*, H. Zhou, R. Liu, and Q. Fu^*, A neuromorphic binocular framework fusing directional and depth motion cues towards precise collision prediction. Neurocomputing, 131660 (JCR Q1, IF = 6.5).
H. Zhou, C. Fang, R. Liu, and Q. Fu, A Bio-Plausible Neural Network Integrating Motion and Disparity Pathways for Looming Perception. Acta Electronica Sinica, p.1-16, 2025 (CCF-A in Chinese Category).
J. Huang^*, Z. Qin, M. Wang, R Liu, and Q. Fu^*, A Biomimetic Collision Detection Visual Neural Model Coordinating Self-and-Lateral Inhibitions. The 14th International Conference on Biomimetic and Biohybrid Systems (Living Machines 2025)(Oral).

Honors and Awards

First Prize (Provincial; Top 3%), Chinese Collegiate Computing Competition (4C)
May 2025 [Evidence]
Honorable Mention (International), Mathematical Contest in Modeling (MCM)
Jan. 2025 [Evidence]
First Prize (National; Top 5%), Asia and Pacific Mathematical Contest in Modeling (APMCM)
Nov. 2024 [Evidence]
First Prize & Innovation Silver Award (Provincial; Top 2 out of 1,167 Teams),
“Greater Bay Area Cup” Guangdong-Hong Kong-Macao Financial Mathematics Modeling Competition
Nov. 2024 [Evidence]
Second-Class Scholarship (Top 8%), Guangzhou University
Dec. 2025 [Evidence]
Third-Class Scholarship (Top 12%), Guangzhou University
Nov. 2024 [Evidence]
First-Class Scholarship (Top 5%), Guangzhou University
Dec. 2023 [Evidence]
Commendation Letter for Outstanding Performance in the Winning Team,
Interdisciplinary Programme - New Media, Technological Innovation, Art and Data Mining at University of Hong Kong and The University of Macao
Nov. 2023 [Evidence]
Provincial Key College Students’ Innovative Entrepreneurial Training Plan Program: Bio-Inspired LGMD Collision Detection Model Leveraging Optical Flow and Learning-Based Optimization (S202411078014) [Evidence]

Skills

Language: IELTS 6.5 (R8.0, L6.5, W6.0, S5.5), CET-6 564 (242/248.5 in the reading section)
Programming Skills: C/C++, Python, Matlab
Others: ROS, LaTeX, Keil, Webots, Linux, Git, Markdown, MS Office/Visio, Adobe Photoshop/Premiere Pro
Learning is the one of the happniest thing in the world.
Enjoy Movie, Music, Photography, Basketball, Jogging, Badminton, Hiking, Cooking …

Conference

TAROS 2025, York, United Kingdom

Fly-Inspired Ultra-selective Looming Perception and Avoidance on Resource-Constrained Micro-Robots, Poster.

Living Machines 2025, Sheffield, United Kingdom

A Biomimetic Collision Detection Visual Neural Model Coordinating Self-and-Lateral Inhibitions, 30-min Oral.

IJCNN 2025, Rome, Italy

Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization, Video.

ICMPSO 2024, Guangzhou, China

A Broader Academic World.

Renyuan LIU