` Xuanqi Zhang

Xuanqi Zhang (张烜旗)

I am a first-year Master student in Computer Science at the University of Ottawa. My research interest lies in the intersection of Machine Learning and Computer Vision.

Previously, I worked as a Research Assistant with Prof. Y. Cheng . I received my B.E. in Computer Science from the Harbin Institute of Technology Shenzhen in 2023, focusing on Multi-view clustering.

I love playing soccer ⚽, Go ⚪⚫ and sketch ✏️ in my free time. I am also open to collaborating with people to explore the possibilities of machine learning and artificial intelligence in various fields.

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News

  • 09/2023: I start work as a TA in an advanced undergraduate course "DatabaseII CSI3130".
  • 09/2023: I join University of Ottawa as a MSC student.
  • 07/2023: I graduate from HIT Shenzhen with Best Bachelor's Thesis Award.
  • 03/2023: Our work on Multiview Clustering is accepted to TKDD.
  • 06/2022: I work ad a RA in Bio-Computing Center, HIT under supervision of Pro.Yongyonchen.
  • 09/2019: I am enrolled as a bachelor student at Harbin Institute of Technology, shenzhen.

Honors and Awards

  • Special Merit Scholarship at University of Ottawa, 2023-2024
  • Best Bachelor's Thesis (top 1/322) at HIT Shenzhen, 2023
  • Undergraduate Academic Scholarship at HIT Shenzhen, 2021
  • Exellent Freshman Scholarship at HIT Shenzhen, 2019

Academic Services

    Journal Reviewer:

    Conference Reviewer:

Publications

2023

Dual Completion Learning for Incomplete Multi-view Clustering
Qiangqiang Shen*, Xuanqi Zhang*, Shuqin Wang, Yuanman Li, Yongsheng Liang, Yongyong Chen
under review.

Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: from Matrix to Tensor
Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, Jingyong Su
ACM Transactions on Knowledge Discovery from Data (TKDD).

* co-first author

 

Research

My research topics cover multi-view learning, tensor-learning and Computer Vision. I mainly investigate the intersection of traditional model-based method and deep learning-based method for interpretable learning.


Multiview Learning

Learning with multiple views to improve the generalization performance.

Low Light Image Enhancement

Improve LLIE solutions with Deep Unfolding Networks.

Data Mining



Ensemble Learning



Artificial Intelligence Generated Content

Under Construction


Media

Selected Coursework

Computer Systems:

  • HIT COMP 3001: Operating System (Prof. Xia Wen)
  • HIT COMP 3010: Database System
  • HIT COMP 3005: Computer Networks
  • MIT 6.S081: Operating System Engineering
  • CMU 15-445: Introduction to Database System
  • MIT 6.824: Distributed Computer System Engineering

Artificial Intelligence:

  • HIT COMP 3006: Introduction to Machine Learning
  • HIT COMP 3009: Introduction to Big Data
  • HIT COMP 322: Natural Language Processing
  • HIT COMP 318: Digital Image Process

Theoretical:

  • HIT: Data Structures
  • HIT COMP 3004: Formal Language and Automation Machine
  • HIT COMP 2007: Algorithm Design and Analysis
  • HIT MATH 1003: Advanced Linear Algebra I, II
  • HIT MATH 1002: Mathematical Analysis I, II, III (张彪)
  • HIT COMP 2010: Modern Algebra

Misc

Email

The best way to reach me is via email:
xuanqizhang.cn [at] gmail.com (Personal Email)
xzhan576 [at] uottawa.ca (School Email)


Links


Interesting Course Projects

A Master's Thesis Evaluation and Defense Scheduling System

HIT Software Engineering and Practice B

Design code of the back end with Java and SpringBoot framework; helped the administrators in HIT obtain Excel files with scheduling information.


Pipelined CPU system based on RISC-V instruction set

HIT Computer System Design and Practice

Utilizing the five-stage pipeline and the stop-and-go method to build a pipelined CPU system with 50Hz frequency based on with Verilog.


FUSE-based youthful EXT2 file system | HIT

HIT Operating System

Implemented file system operations such as mounting, unmounting, listing all files/directories in a given directory, creating files, creating directories.


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