he/him/his
Desheng Hu is a doctoral student advised by Christo Wilson at Northeastern University’s Khoury College of Computer Sciences. Desheng is from the JiangXi Province, in the southeast of China, and went to Northwestern Polytechnical University where he got his undergraduate and graduate degrees in engineering. During his undergraduate, Desheng Hu spent a semester studying in Universidad Del Valencia (Spain) as an exchange student. During his master’s program, Desheng Hu acquired some industrial experience in consulting working as an intern for Deloitte and PricewaterhouseCoopers. Desheng’s research focuses on social computing, algorithm auditing, and applied machine learning, with a particular interest in researching fairness, accountability, and transparency issues related to intelligent systems and social media.
Desheng is studying the change in language usage over different platforms and throughout time. One of his projects measures linguistic biases embedded in Google’s snippet generation system. He is involved in interdisciplinary research projects that require perspectives from different disciplines, which he finds very exciting. He also enjoys that the measurements conducted in his projects can offer real-world guidance for system designers or policy-makers to help make intelligent systems fairer, more transparent, and accountable. Going forward, Desheng would like to be part of the effort to help make intelligent systems more fair, transparent and accountable by leveraging tools from natural language processing, data mining and applied machine learning.
he/him/his
Desheng Hu is a doctoral student advised by Christo Wilson at Northeastern University’s Khoury College of Computer Sciences. Desheng is from the JiangXi Province, in the southeast of China, and went to Northwestern Polytechnical University where he got his undergraduate and graduate degrees in engineering. During his undergraduate, Desheng Hu spent a semester studying in Universidad Del Valencia (Spain) as an exchange student. During his master’s program, Desheng Hu acquired some industrial experience in consulting working as an intern for Deloitte and PricewaterhouseCoopers. Desheng’s research focuses on social computing, algorithm auditing, and applied machine learning, with a particular interest in researching fairness, accountability, and transparency issues related to intelligent systems and social media.
Desheng is studying the change in language usage over different platforms and throughout time. One of his projects measures linguistic biases embedded in Google’s snippet generation system. He is involved in interdisciplinary research projects that require perspectives from different disciplines, which he finds very exciting. He also enjoys that the measurements conducted in his projects can offer real-world guidance for system designers or policy-makers to help make intelligent systems fairer, more transparent, and accountable. Going forward, Desheng would like to be part of the effort to help make intelligent systems more fair, transparent and accountable by leveraging tools from natural language processing, data mining and applied machine learning.
