regret! Only 31 years old, 985 college green pepper died of sudden illness

Click the card below to follow the " CVer " official account

AI/CV heavy dry goods, delivered in the first time

Click to enter —>【Transformer】WeChat Technology Exchange Group

This article is reproduced from: Recruitment Academic | Source: Science and Technology Daily, Harbin Institute of Technology (Shenzhen) official website

According to the official website of Harbin Institute of Technology (Shenzhen), on May 3, 2023, Dr. Liao Zihao, a young talent in the School of Marxism of Harbin Institute of Technology (Shenzhen), died of a sudden illness at the age of 31.

c5633523c7f8e20cc73ffd2752fd2b55.png

Dr. Liao Zihao received a Ph.D. in Political Science (Law) from the School of Government Administration of Peking University in 2022. After graduation, he joined the Harbin Institute of Technology (Shenzhen) Academy of Mathematics. He obtained a master's degree from the School of Government Administration of Peking University and a bachelor's degree in law from the School of Government Administration of Nanjing University. He has published many papers in domestic core journals.

daee9327c297752437a8d610686d39d7.jpeg

The school expresses regret for the loss of a young talent in the academic circle, and expresses deep sorrow for the sudden death of Assistant Professor Liao Zihao.

Biography of Assistant Professor Liao Zihao

Liao Zihao, male, was born in September 1992 in Foshan, Guangdong. He joined the Communist Party of China in December 2012, and graduated from the School of Government of Peking University in July 2022 with a doctorate in law. In September 2022, he will serve as an assistant professor at the School of Marxism, Harbin Institute of Technology (Shenzhen).

Education background

2018.09-2022.06 Ph.D., School of Government, Peking University

2015.09-2018.06 Master of School of Government, Peking University

2011.09-2015.06 Nanjing University School of Government Administration undergraduate

Areas of concern

Social Welfare Policy; Inequality and Distribution Politics; Public Opinion; Party Politics

research experience

Empirical investigation of Chinese citizens' political values ​​under the new media conditions (National Social Science Fund General Project 16BZZ006, 2016.06, backbone, completed)

Beijing Area Survey 2019 (Beijing Area Survey 2019), self-research project of China National Conditions Research Center of Peking University, backbone, completed)

Research on basic data of international medical insurance (Department of Laws and Regulations, National Medical Insurance Administration, 2020.04, backbone, completed)

Citizens' scientific literacy and regional economic and social development (China Institute of Popular Science, 2020.07, backbone, completed)

Research on citizens' scientific quality construction and regional development (China Institute of Popular Science, 2019.09, backbone, completed)

Research on the Change of Political Science Research Method under the Background of Computational Social Science (National Social Science Fund General Project 19BZZ010, 2019.07, Participating, Researching)

Research on the refined urban management system of Beijing (Beijing Urban Management Committee, 2019.06, participation, completed)

Basic research on the "14th Five-Year Plan" of Haidian District (Haidian District Development and Reform Commission, 2019.05, participation, completed)

Research Papers

Liao Zihao, Zou Yunjin, Wang Dantong. Evaluation of Big Data Governance, Media Selection and Government Information Disclosure——An Empirical Analysis Based on the Investigation of Sudden Public Crisis. [J] Journal of Anhui Administration College, 2021 (5): 41-51. (Acquired The journal's 2021 excellent papers)

Liu Yanjun, Liao Zihao. Belief and Choice: How People Choose Political Information. [J] Peking University Political Science Review, (2022, No. 12)

Liu Yanjun, Liao Zihao. When did the political party turn populist? ——A cross-country multi-level analysis based on political party status, income inequality and clientelism. (Comparison of economic and social systems, in the vote)

Liao Zihao, Gu Xin. Medical insurance payment structure, perception of urban-rural inequity and medical security satisfaction——An empirical analysis based on the comprehensive survey of China's social conditions in 2019 (working paper, 2021)

Liao Zihao, Gu Xin. People's Preference for Government Social Security Responsibilities: The Impact of Market Reform on Sense of Gain (Working Paper, 2021)

academic conference

2022.06.29 Political Party Studies: Theory·History·Comparison·Methodology Symposium Political Party Research Center of Peking University When does a political party turn to populism? —A cross-country multilevel analysis based on party status, income inequality, and clientelism

2020.11.07 The 2nd Contemporary China Governance Frontier Forum Zhejiang Provincial Party School Big Data Governance, Media Selection and Evaluation of Government Information Disclosure: Empirical Analysis Based on Sudden Public Crisis

2020.04.16 Midwest Political Science Annual Meeting (MPSA) Fear for Inequality or Unfairness?: Relative Deprivation, Corruption Perception and Redistributive Preferences in Authoritarian Regimes

Honors

2020.12 "Three Good Students" title (Peking University)

2019.12 National Scholarship (Peking University), "Three Good Students" title (Peking University)

2019.12 Outstanding Party Member of the 2018 Doctoral Party Branch of the School of Government Administration

2016.04 First Prize of Excellent Undergraduate Thesis Award of Jiangsu Province

2015.05 Outstanding Graduate of Nanjing University

2014.12 Outstanding Student of School of Government Administration, Nanjing University

2013.12 Second Prize of People's Scholarship (Nanjing University)

2012.12 First Prize of People's Scholarship (Nanjing University)

94c6c015f9759436dc08432d9913bc9b.png

According to a recent survey released by the China Association for Science and Technology, the average working hours of scientific and technological workers is 8.6 hours, and the longest working hours are 16 hours a day. Highly educated people work longer hours and suffer from severe sleep deprivation. Technological workers with a doctoral degree have the longest average daily working hours of 9.29 hours. At the same time, scientific and technological workers with doctoral and master's degrees spend less than 5 hours a week on sports, which is significantly less than other education groups.

The person in charge of the survey, Professor Chen Zhiyan from the Institute of Psychology of the Chinese Academy of Sciences, said that from the data, scientific and technological workers with doctoral degrees may squeeze more healthy exercise time in exchange for more working time , which may affect their physical and mental health in the long run. bring adverse effects.

A survey initiated by "Intellectuals" in conjunction with Nature Research and others showed a similar conclusion. According to the survey, 12.84% of young scientific researchers work no more than 40 hours a week, which is just in line with the provisions of the "Labor Law" (working hours no more than 44 hours a week); while as many as 58.39% of young scientific researchers The average working hours per week is more than 50 hours. According to the survey, nearly half of the people said they were overtired and not healthy; only one in 10 said they were very healthy.

Young scholars are in the rising period of their careers. Whether it is fatigue or worry, it is one of the main killers of young researchers' health.

For the sustainable development of individuals and scientific research, we should:

Establish a healthy outlook on work and values, and develop healthy living and exercise habits. Regular work and rest, eating on time, and sleeping well are very important to our health. On this basis, develop a good habit of exercising, stretch after working for a period of time, and persist in moderate-intensity exercise for about an hour every day, which can not only improve physical fitness, but also relieve work pressure. Why not do it .

I hope that scientific researchers who are struggling on the road can take good care of their bodies.

Click to enter —>【Transformer】WeChat Technology Exchange Group

The latest CVPR 2023 papers and code download

 
  

Background reply: CVPR2023, you can download the collection of CVPR 2023 papers and code open source papers

Background reply: Transformer review, you can download the latest 3 Transformer review PDFs

目标检测和Transformer交流群成立
扫描下方二维码,或者添加微信:CVer333,即可添加CVer小助手微信,便可申请加入CVer-目标检测或者Transformer 微信交流群。另外其他垂直方向已涵盖:目标检测、图像分割、目标跟踪、人脸检测&识别、OCR、姿态估计、超分辨率、SLAM、医疗影像、Re-ID、GAN、NAS、深度估计、自动驾驶、强化学习、车道线检测、模型剪枝&压缩、去噪、去雾、去雨、风格迁移、遥感图像、行为识别、视频理解、图像融合、图像检索、论文投稿&交流、PyTorch、TensorFlow和Transformer等。
一定要备注:研究方向+地点+学校/公司+昵称(如目标检测或者Transformer+上海+上交+卡卡),根据格式备注,可更快被通过且邀请进群

▲扫码或加微信号: CVer333,进交流群
CVer计算机视觉(知识星球)来了!想要了解最新最快最好的CV/DL/AI论文速递、优质实战项目、AI行业前沿、从入门到精通学习教程等资料,欢迎扫描下方二维码,加入CVer计算机视觉,已汇集数千人!

▲扫码进星球
▲点击上方卡片,关注CVer公众号

It's not easy to organize, please like and watch78a50c045072af473b0ad3a7a0f8c73a.gif

Guess you like

Origin blog.csdn.net/amusi1994/article/details/130518287