Endai Huang (Edward,黄恩待)

中文版本请点击这里

Email: [email protected] | Wechat: hed44533354

Research interest: computer vision, deep learning, animal detection and monitoring, occlusion problem, agriculture robot

I am a PhD student graduated in 2023. I am looking for jobs currently, please feel free to contact me if you are interested in me. A pdf CV can be found here: CV_Endai_HUANG.pdf

Education

Ph.D, Computer Science, City University of Hong Kong

Deep learning and computer vision for piglet detection under occlusion and algorithm embedding in hardware.
Hong Kong, 2018.09-2023.10

B.E., Agricultural Engineering, Zhejiang University

Agricultural robot, crop prediction, and agriculture big data in supply chain
Hangzhou, 2014.09-2018.06

Work Experimence

Postdoctoral fellow, The Chinese University of Hong Kong

Machine learning application in Material Science
Hong Kong, 2023.10-Now

Research Assistant, City University of Hong Kong

Statistical modeling and prediction of feral pigeon in HK
Hong Kong, 2021.09-2023.07

Teaching Assistant, City University of Hong Kong

GE2340 Artificial intelligence, CS2115 Computer Organization, CS3334 Data structure, and CS6491 Topics in Optimization and its Applications in Computer Science.
Hong Kong, 2018.09-2022.06

Internship, Tencent AI Lab

Shenzhen, 2018.08-2018.10

Publication

First author: 4
Co-author: 6

  • [Others] Multiple and Portable Measuring Instrument Control Software (Model 2000 Multimeter) V1.0 [CP]. Software Copyright, RN: 2017SR568108, Copyright Protection Center of China, 2017-10-16
    Zunzhong Ye, Endai Huang, Xiaoyue Xu, Yibin Ying

Presentation

  • [Poster] Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network. CV4Animals Workshop, CVPR (2022)
    Endai Huang, Axiu Mao, Yongjian Wu, Haiming Gan, Maria Ceballos, Thomas Parsons, Junhui Hou, Kai Liu*
  • [Oral+Conference paper] Occlusion Resistant Spatial Analysis of Pig Distribution Pattern in Farrowing Pens Using Center Clustering Network. In 10th European Conference on Precision Livestock Farming (ECPLF 2022)
    Endai Huang, Axiu Mao, Haiming Gan, Kai Liu*
  • [Oral+Conference paper] Deep learning-based assessment of laying-hen feather conditions using color and thermal images. In 2nd Asian Conference on Precision Livestock Farming (ACPLF2020)
  • Endai Huang, Axiu Mao, Kai Liu*, Yueju Xue

Prize & Award

  • First place of 2016 ASABE 10th Student Robotic Competition
  • 2nd Place in 2021 AOC Student Presentation Competition, Association of Overseas Chinese Agricultural Biological Food Engineers

  • Silver Award of The 8th China International College Students’ ‘Internet +’ Innovation and Entrepreneurship Competition, 2022

Others

  • Director of New Media office, IEEE CityU Student Branch, 2022-Now