Mingqian Liao

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Senior Undergraduate Student @Turing Class, SUSTech
Research Assistant @Johns Hopkins University
Address: 500W University Pkwy, Baltimore, MD 21210
Github: Leo-Adventure
Phone: (+1)510-365-1902
E-mail: liaomq328@gmail.com
 CV: CV

About me

My name is Mingqian Liao, I'm a senior undergraduate at the Southern University of Science and Technology (SUSTech), majoring in Computer Science and Technology, and studying in the Turing class of my major. I am currently a undergraduate research assistant at the Johns Hopkins University, under the guidance of Prof. Vishal M. Patel. I am looking for a phd position in computer vision field after getting my bachelor degree in 2024. My goal is to apply my deep learning skills and knowledge to contribute to cutting-edge research in the field.

I love coding and I have a strong interest in computer vision and deep learning, and I am currently working on NeRF project in the VIU lab in JHU. And I have been working in our iMED lab in SUSTech for two year to study the application of deep learning and computer vision to medical imaging processing.

I am eager to delve into the field of computer vision, aiming to uncover the underlying algorithms that drive our visual perception and recognition. As a student focused on computer vision, I hope to provide fresh insights into the advancements of image recognition and artificial intelligence technologies.

Outside of my academic interests, I enjoy photographing, travelling and cooking.

Education

Research Assistant, Johns Hopkins University, 08.2023 - 02.2024

  • Supervisor: Dr. Vishal M Patel

  • Research Focus: Thermal-Visible Image Fusion and Thermal-NeRF

Visiting Student, University of California, Berkeley, 01.2023 - 06.2023

  • Main Subject: Deep Learning & Computer Vision

  • Main Courses: Machine Learning(CS189), Deep Learning(CS182), Graduate Computer Vision(CS280), Operating System(CS162)

Senior Undergraduate, Southern University of Science and Technology, 09.2020 - 06.2024

  • Major: Computer Science

  • Supervisor: Dr. Jiang Liu & Dr. Shiqi Yu

  • Overall GPA: 3.74/4(90.41)

    Junior GPA: 3.94/4

  • 2023 Outstanding Student Scholarships (First Prize)

    2022 Outstanding Student Scholarships (Second Prize)

    2021 Outstanding Student Scholarships (Third Prize)

  • 2022 ASC Student Supercomputer Challenge (First Prize)

Publications

  • 2023/10 Jiacong Xu *, Mingqian Liao *, Ram Prabhakar Kathirvel, Vishal Patel. Thermal-NeRF: Looking into the Darkness. Under Review.
  • 2023/09 Jiang Liu, Xiaoqing Zhang, Yan Hu, et al. and Mingqian Liao. Introduction to Artificial Intelligence. Chemical Industry Press, Beijing.

Selected Honors

  1. Excellent Student of SUSTech, Southern University of Science and Technology, 11.2023

  2. First prize of SUSTech Outstanding Student Scholarship, Southern University of Science and Technology, 10.2023

  3. Meritorious Winner of Mathematical Contest in Modeling, COMAP, 5.2023

  4. Distinguished Teaching Assistant in C/C++ programming design, Southern University of Science and Technology, 01.2023

  5. "Intelligent Pedestal" Industry-Education Integration Collaborative Education Project Scholarship for Excellent Performance of Machine Learning Class, 12.2022

  6. "Intelligent Pedestal" Industry-Education Integration Collaborative Education Project Scholarship for Excellent Performance of C/C++ Program Design Class, 12.2022

  7. First Prize in 2022 ASC Student Supercompute Challenge 2022, Asia Supercomputer Community, 12.2022

  8. Second Place in 2022 APAC HPC-AI Competition, HPC-AI Advisory Council, National Supercomputing Centre (NSCC) Singapore, and National Computational Infrastructure (NCI) Australia, 11.2022

  9. Special Prize in The 9th "League Cup" Undergraduate English Writing Contest, Guangdong Province, 9.2022

  10. Special Prize of SUSTech Freshman Scholarship, Southern University of Science and Technology, 10.2020

Projects

  1. Unsupervised Fundus Surgical Depth Estimation Based on Microscopic Surgical Videos, 01.2022 - 06.2023

    • Build a virtual surgical instrument and fundus database

    • Conduct a series of experiments and optimizations to migrate the model in the self-driving depth prediction scene into the surgical scene

    • Try to design a model to output the corresponding depth video from the input fundus surgery video

  2. Digging deeper into the value of Wordle through time series analysis and natural language processing, 2.2023

    • Build time series models to explain changes in the number of active Wordle players and predict future trends

    • Establish a probabilistic regression model of the distribution of guessing times to analyze the difficulty of Wordle games

    • Use clustering algorithms to grade the difficulty of the game, and combine natural language processing techniques to build a classification model from the puzzle to infer the difficulty rating of the game

  3. Deep-Learning-Based DNA Fast Decoding, 03.2022-11.2022

    • Design a model to predict transcription factor's binding site based on the input DNA sequence and DNase-sequence

    • Improve the model using the key part of UNet and Leopard

    • Use horovod to train the network distributedly

  4. Neural Network for self-driving data augmentation, 11.2022 - 01.2023

    • Augment the automated driving dataset using the Stable Diffusion model as well as the Textual Inversion model

    • Conduct experiments on the prompt to guide the direction of augmentation, and on the sampling method to augment

  5. Intelligent identification of ancient glass objects given statistical machine semester under small sample size, 09.2022

    • Build a cardinality test and decision tree to explore the relationship between the weather ability of ancient glass objects and their properties

    • Establish a probabilistic regression model of the distribution of guessing times to analyze the difficulty of Wordle games

    • Identifying Significant Changes in Composition of Lead-Barium Glass and High Potassium Glass Before and After Weathering Using KS Test

    • Construct regression models using semi-supervised learning to infer the chemical composition of a given glass artifact before weathering

  6. Matrix Class and CNN forward propagation Implementation in C++, 09.2021 - 12.2021

    • Build a relatively complete calculation library by referring to the Class cv::Mat in OpenCV

    • Support matrix of different basic data types

    • Implement the region of interest (ROI) to avoid hard copying of memory

    • Implement a CNN model that can predict if the input image is a person (upper body only) or not

    • Conduct a Series of performance tests, comparisons and optimizations carried out on the X86 and ARM platforms

Experience

  1. Research Student, iMED Lab in Southern University of Science and Technology, 07.2021-Current

    • Collaborated with a three-person team on the topic of unsupervised bottom-of-the-eye surgical depth estimation based on microscopic surgical videos

  2. Officer members, Student Supercomputing Club of Southern University of Science and Technology, 01.2022 - Current

    • Organize the university-level supercomputing competitions

    • Recruit new students for club

    • Select students to represent the university in supercomputing competitions with us

  3. Student Assistant in CS305 Computer Network course, Southern University of Science and Technology, 09.2022 - 01.2023

    • Checking Lab exercises, and answering questions from students in class and after class

    • Designing and grading Assignments for the course

  4. Student Assistant in CS205 C/C++ Program Design course, Southern University of Science and Technology, 02-2022-01.2023

    • Checking Lab exercises, and answering questions from students in class and after class

    • Designing and grading Assignments for the course

Language Ability

English

  • TOFLE score 107 (Reading 28, Listening 29, Writing 27, Speaking 23)

Skill

Programming

  • Python(Numpy, Pytorch), C/C++, Java, SQL, Vue2, Git

Soft Skills

  • Teamwork, Time Management, Documentation, Presentation

Interests

Travelling

photographing

Accordion

Table Tennis

Running

Music


My CV.


My Undergraduate Transcript.