Andy Chan

Andy Chan

PhD student in the AI field

Welcome to Andy's Home for a visit

This is the personal GitHub Pages site of Andy Chan(Andi Chen/陈岸荻). I had spent my high school years at XiangYang No.5 high school, where I was awarded with the third prize of the Chinese Mathematical Olympiad Contest. In terms of my bachelor period, I had graduated from the joint program of Dalian University of Technology(world ranking top 300th) and University of Leicester(world ranking top 200th) majoring chemical information science. My compulsory curriculum incorporated advanced calculus, advanced linear algebra, probability and statistics, mathematical analysis, Python, C++, Java. In addition, I also took courses incorporating deep learning, functional analysis, complex function, data structure and algorithms as my elective courses.

Furthermore, I have been selected successfully for the graduate program in Cognitive and Artificial Intelligence at Kuang Yaming Honor School of Nanjing University(world ranking top 100th) through the recommendation system of Chinese Ministry of Education. During that time, I was dedicated to the methodology of hybrid feedforward neural network architecture design for image processing under the supervision of Prof. Zeng-Bing Chen and Prof. Shengjun Wu. Then, I acted as a research assistant on School of AI of Shanghai Jiao Tong University and Shanghai Innovation Institute centering on the design of frameworks of large language models under the supervision of Prof. Junchi-Yan .

Nowadays, I'm pursuing my PhD in Shanghai Qizhi Institute and the college of AI, Tsinghua University(world ranking top 30th) led by the distinguished professor Andrew Chi-Chih Yao. I do feel pleased and honored to work with the prominent supervisor, Prof. Alex Lamb, whose supervisor is the 2018 Turing Award Winner, Yoshua Bengio . I am also affiliated to Tongji University(world ranking top 150th) with Prof. Qi Zhang at College of Computer Science as secondary supervisor. Meanwhile, I also have collaborations with Prof. Shoujin Wang at College of Computer Science, University of Technology Sydney. I am also the reviewer of the top journals and conferences TNNLS, Pattern Recognition, Neural Networks, AAAI, etc.

My life attitude:

Do anything you wanna try

Go anywhere you wanna visit

Be anyone you wanna grow into

Education Background

Dalian University of Technology & University of Leicester
Bachelor of Science in Chemical Information Science
2018.09 - 2022.06
Deep learning algorithms(Transformer) for amino acid and protein sequence prediction
Kuang Yaming Honor School, Nanjing University
Master of Science in Cognitive and Artificial Intelligence
2022.09 - 2025.07
Hybrid feedforward neural network design for image processing, application of latent diffusion models
School of AI, Shanghai Jiao Tong University & Shanghai Innovation Institute
Research Assistant
2025.09 - 2026.03
Framework design for tensorized large language models
Shanghai Qizhi Institute & School of AI, Tsinghua University & College of Computer Science, Tongji University
PhD in AI
2026.06 - Present
Research focus: Large multimodal model architecture design and finetune, deep learning theory, and reinforcement learning for robotic systems.

Administrative Positions

Vise chairman of the art troupe & Class study monitor & Deputy minister of the organization department
Dalian University of Technology
2019 - 2021
Graduate student representative & Class monitor
Nanjing University
2023 - 2025

Scholarships

National scholarship, Academic excellence scholarships(first class), Visiting scholarships, Technology innovation scholarships, Cultural Scholarships
Chinese Ministry of Education, Dalian University of Technology, University of Leicester
2019-2021
Academic excellence scholarships(first class), Yingcai scholarships, College scholarships
Nanjing University
2023 - 2025

Internships

AI Research Intern
Matrix Time Digital Technology Co.Ltd
2022.02-2023.06
Worked on Hybrid Hopfield neural networks for sequential analysis & Feedforward neural networks for quantum digital signature
Visiting student
HCIS lab, School of AI, Yang Ming Chiao Tung University, Taiwan
2023.09-2024.02
Active perception and behaviour cloning of robotic arms to scoop up food with assorted physical properties(with publication)
Deep learning algorithm engineer
Wuxi Tuchuang Intelligent Technology Co.Ltd
2024.04-2024.11
Design of industrial target detection software based on Yolov5 network & Design of Pointnet algorithms for multi-label pattern recognition in industrial environments (with national patent)
Research Assistant
Shanghai Innovation Institute & Shanghai Jiao Tong University
2025.09-2026.04
Design and finetune of large language models for long-sequential text generation

Competitions

Third Prize, Chinese Mathematical Olympiad Contest for senior high school students
Chinese Mathematical Society
2017
First Prize, National Mathematical Contest for University Students
Chinese Mathematical Association
2019
Second Prize, Dalian Mathematical Contest
Dalian Mathematical Association
2019
First Prize, Liaoning Province Physical academic Contest
Liaoning Pronvince Physical Association
2020
Second Prize, Liaoning Province Physical experimental Contest
Liaoning Pronvince Physical Association
2020
Third Prize, National Mathemaical Modeling Contest
Chinese Mathematical Association
2021
Second Prize, American Mathematical Modeling Contest
American Mathematical Association
2021
Second Prize, Mathorcup Mathematical Modeling Contest
Mathorcup Mathematical Association
2021

Innovation Programs

Design and analysis of novel quantum-inspired spiking convolutional neural network algorithms for image recognition
University Innovation Program
2022 - 2023
Multimodal large model generation task based on hybrid tensorized decomposition Transformer and diffusion architectures
University Innovation Program
2023 - 2024
DID and SCM economical model for empirical analysis of Sade event and the US-China trade friction event
University Innovation Program
2024 - 2025
Design and Application of Reinforcement Learning Fine-tuning Strategies Based on SFT and GRPO for Large Language Models
National Natural Science Foundation of China
2024 - 2025

Titles

Top ten singer of DLUT
2019
Outstanding Students of DLUT
2020
Outstanding Volunteer of anti COVID-19 epidemic activities
2021
Outstanding Graduate of Liaoning Province
2022
Outstanding Graduate of Nanjing University
2025

Research Interests

Deep neural network theory and design
Multimodal generation systems
Reinforcement learning and robotic systems

Selected Publications

Hybrid quantum-inspired resnet and densenet for pattern recognition
Andi Chen, Hua-Lei Yin, Zeng-Bing Chen, Shengjun Wu
Neurocomputing 2025
PDF
Quantum Sparse Coding and Decoding based on Quantum Network
Xun Ji*, Qin Liu*, Shan Huang*, Andi Chen*, Shengjun Wu (* denotes co-first author)
Applied Physics Letter, 2024
PDF
Image compression and reconstruction based on quantum networks
Xun Ji, Qin Liu, Shan Huang, Andi Chen, Shengjun Wu
IEEE IPDPS, 2024
PDF
A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
Andi Chen
Arxiv, 2025
PDF

Personal Hobbies

Exercising
Reading and Writing
Traveling
Music
Cooking

Selfie Photos

Selfie photo 2
Selfie photo 3
Selfie photo 4

Critical Thinking to the Future

As we stand at the crossroads of technological advancement and human evolution, critical thinking becomes more essential than ever. The rapid development of AI, represented as Claude, Gemini, Openclaw, the SOTA generative AI and agent AI platform, presents both unprecedented opportunities and complex challenges.

I believe that the future belongs to those who possesses the capability of critical and proactive thinking about the implications of emerging technologies while maintaining a human-centered approach. We are supposed to ask not only "can we build it?" but also "why we build it?" and "how will it impact society?"

My vision for the future involves creating AI systems that augment human capabilities rather than replace them completely, developing sustainable technologies to solve humanity's greatest challenges. Forward thinking is the foundation upon which we can build a better future for all. I'm centering on the following questions:

What's the relation between human being and AI agents?

What's the urgent demand and need of human in several years?

How could AI agents impact human by decentralization in the future?

While reflecting on these thoughts, I hope the future will be predictable to some extent for its quantitative and qualitative development.