Education

B.E. in Computer Science and Technologies, Tsinghua University, 2015 to 2019
B.S. in Pure and Applied Mathematics (Second Major), Tsinghua University, 2016 to 2019
Ph.D. in Computer Science, University of Southern California, 2019 to 2024 (expected)

Publications

Suping Zhou, Jia Jia, Yufeng Yin, Xiang Li, Yang Yao, Ying Zhang, Zeyang Ye, Kehua Lei, Yan Huang, Jialie Shen. Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional Modeling. In the Proceedings of the 27th ACM International Conference on Multimedia (ACM MM’19) [pdf]
Jia Jia, Suping Zhou, Yufeng Yin and Boya Wu. Inferring Emotions from Large-scale Internet Voice Data. IEEE Transactions on Multimedia 2019 (TMM’19) [pdf]
Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin and Kehua Lei. Inferring Emotion from Conversational Voice Data: A Semi-supervised Multi-path Generative Neural Network Approach. In the Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’18) [pdf]

Tsinghua University Department of Computer Science and Technologies Outstanding Graduates, 2019
Tsinghua University Academic Excellence Scholarship (Top 10% of Department), 2017
Tsinghua University Comprehensive Excellence Scholarship (Top 5% of Department) , 2016

Tsinghua University Human-Computer Speech Interaction Research Group, 2016 to 2019

Advisor: Prof. Jia Jia
Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional Modeling, 2018 to 2019
- Established a fully-annotated voice data set (4,451 utterances) with pleasure and arousal values
- Created a two-dimensional Teaching Style Semantic Space (TSSS) to determine teachers’ teaching styles
- Proposed a multi-task cross-media model to map acoustic features to coordinates on the TSSS
- Co-authered a paper published in ACM MM’19
Inferring Emotions from Large-scale Internet Voice Data, 2017 to 2018
- Employed DNN and LSTM with autoencoders to infer emotions from large-scale internet voice data
- Processed data, created neural networks, conducted experiments and edited the paper
- Co-authored a paper published in TMM’19
Inferring Emotion from Conversational Voice Data: A Semi-supervised Multi-path Generative Neural Network Approach, 2017
- Proposed a novel model to infer emotion from conversational voice data
- Collected over 24,000 real-world utterance, processed data and edited paper
- Co-authored a paper published in AAAI’18

Stanford University Human-Computer Interaction Research Group, 2018

Advisors: Prof. James Landay, Prof. Emma Brunskill
The Smart Primer, 2018
- A personal tutor for children that uses narrative and embedded physical world activities to enhance learning
- Stanford University Undergraduate Visiting Research Program (UGVR)
- Created a chat bot and a quiz bot to guide users
- Worked as the architect of the whole project for both frontend and backend coding

Fall 2018: Teaching Assistant for Principles of Signal Processing
- Tsinghua University
- Helped Prof. Jia Jia to prepare lessons, especially those including mathematical derivations
- Participated in editing slides, answering students’ questions and correcting homework
Summer 2018: Research Assistant
- Stanford University Human-Computer Interaction Research Group
- Developed an educational software on tablets named the Smart Primer
- Supervisor: Prof. James Landay, Prof. Emma Brunskill

Language: Mandarin, English
Programming Languages: C, C++, Python, Java, JavaScript, R, HTML, Assembly, LaTeX, Matlab, Qt
Research Skills: vim, git, bash, cmake, gcc, gdb
Software: Visual Studio, Android Studio, Eclipse