Hammond Liu (劉浩銘)

Background

I’m a rising senior at NYU Shanghai. My major is Computer Science, and I also minor in Mathematics. Academic research has brought me a lot of fun, so I’m likely to pursue a PhD degree after graduation.

My research interests are broadly in the Computer Vision field. Recent research topics includes semantic segmentation, few-shot segmentation, and structural re-parameterization.

Education

2019-Present B.S., Computer Science, NYU Shanghai, China. (GPA: 3.91/4.00)

Publications

2022 Pyramid-Context Guided Feature Fusion for RGB-D Semantic Segmentation [Paper] [Video]
Accepted by ICME 2022 (3DMM Workshop)
Haoming Liu*, Li Guo* (equal contribution), Zhongwen Zhou, Hanyuan Zhang

Projects

Spring 2022 Evaluating Parameter-Efficient Tuning Methods in Low-Data Regimes [Report] [Code]
Course Final Project (DS-UA 203: Machine Learning for Language Understanding)
Haoming Liu, Xiaochen Lu, Wenbin Qi, Mentor: Prof. Sam Bowman

Spring 2022 Self-supervised Pre-training for Object Detection [Video] [Report] [Code]
Course Final Competition [Rank 3/21] (CSCI-GA 2572: Deep Learning)
Haoming Liu, Wenbin Qi, Haorui Li, Mentor: Prof. Yann LeCun, Prof. Alfredo Canziani

Fall 2021 RepMAF: When Re-parameterization Meets Multi-scale Attention [Report] [Code]
Course Final Project (CSCI-GA 2271: Computer Vision)
Haoming Liu, Chen Song Zhang, Jiayao Jin, Mentor: Prof. Rob Fergus

Summer 2021 Contract Parsing & Key Content Extraction [Intro]
Research Assistant Project on Optical Character Recognition
Haoming Liu, Mentor: Prof. Chenghe Guan

Summer 2021 A General Feature Fusion Paradigm for RGB-D Semantic Segmentation [Report] [Code]
DURF Summer Research Project
Haoming Liu, Mentor: Prof. Li Guo

Fall 2020 Face Mask Detection based on Transfer Learning and YOLO v4 [Report] [Code]
Course Final Project (CSCI-SHU 360: Machine Learning)
Haoming Liu, Kaiwen Dai, Chunli Xu, Mentor: Prof. Enric Junqué de Fortuny

Fall 2020 Life Hacking on Time Management: Daily Life Visualization [Report]
Course Final Project (CSCI-SHU 235: Information Visualization)
Haoming Liu, Mentor: Prof. Xianbin Gu

Summer 2020 Large-parallax Image Alignment Algorithm based on Sub-plane Segmentation [Report]
DURF Summer Research Project
Haoming Liu, Mentor: Prof. Xianbin Gu

Experience

2020-Present Computer Vision Research Assistant, Mentor: Prof. Li Guo, NYU Shanghai.

Fall 2022 Lead Learning Assistant, CSCI-SHU 360: Machine Learning, NYU Shanghai.

Summer 2021 OCR Research Assistant, Mentor: Prof. Chenghe Guan, NYU Shanghai.

2020-2021 President, Splice Club (CS/DS focused), NYU Shanghai.

Spring 2021 Learning Assistant, CSCI-SHU 235: Information Visualization, NYU Shanghai.

Courses

CSCI-SHU 2314: Discrete Maths
MATH-SHU 140: Linear Algebra
MATH-SHU 235: Probability and Statistics
MATH-UA 123: Calculus III
MATH-UA 251: Intro to Math Modeling

CSCI-SHU 210: Data Structures
CSCI-SHU 220: Algorithms
CSCI-SHU 235: Information Visualization
CSCI-UA 201: Computer Systems Organization
CSCI-UA 467: Applied Internet Technology (audit)
CSCI-UA 480: Computer Networks

CSCI-SHU 360: Machine Learning
CSCI-UA 9472: Artificial Intelligence
LING-UA 52: Machine Learning for Language Understanding
CSCI-GA 2271: Computer Vision (graduate-level)
CSCI-GA 2572: Deep Learning (graduate-level)

Awards & Honors

2021-2022 Dean’s List for Academic Year, NYU Shanghai.

Summer 2022 Research Assistant Fund, NYU Shanghai.

2020-2021 Dean’s List for Academic Year, NYU Shanghai.

Summer 2021 Research Assistant Fund, NYU Shanghai.

Summer 2021 Deans’ Undergraduate Research Fund, NYU Shanghai.

2019-2020 Dean’s List for Academic Year, NYU Shanghai.

Summer 2020 Deans’ Undergraduate Research Fund, NYU Shanghai.

Harry Lee | 李昊蕤
汤姆的杂货铺
Xinhao Liu | 刘歆昊



Last Update: July 2022