jerry zitao liu

I work at TAL Education Group since 2018. I lead a team working on ML/CV/NLP/Speech problems and its applications in K-12 education.

Prior to joining TAL, I was a senior applied scientist at Pinterest. I obtained my Ph.D in Computer Science at University of Pittsburgh. His Ph.D. advisor is Professor Milos Hauskrecht.

I was also fortunate to work as a research intern at Alibaba iDST (2015), Yahoo! Labs (2014), eBay Research Lab (2013), and a software engineer intern at Google (2012).

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Publications

Multimodal Learning For Classroom Activity Detection
H. Li, Y. Kang, W. Ding, S. Yang, S. Yang, Y. Huang, Z. Liu
ICASSP’20: The 45th International Conference on Acoustics, Speech, and Signal Processing, 2020.

Upgrading CRFs to JRFs And Its Benefits To Sequence Modeling And Labeling
Y. Song, Z. Ou, Z. Liu, S. Yang
ICASSP’20: The 45th International Conference on Acoustics, Speech, and Signal Processing, 2020.

Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education
W. Ding, G. Xu, T. Liu, W. Fu, Y. Song, C. Guo, C. Kong, S. Yang, Y. Huang, Z. Liu
WWW’20, The Web Conference, 2020.

Global-and-Local Aware Data Generation for the Class Imbalance Problem
W. Wang, S. Wang, W. Fan, Z. Liu, J. Tang
SDM’20: SIAM International Conference on Data Mining, 2020.

Learning Multi-level Dependencies for Robust Word Recognition
Z. Wang, H. Liu, J. Tang, S. Yang, G. Huang, Z. Liu
AAAI’20: The 34th AAAI Conference on Artificial Intelligence, 2020.

Graduate Employment Prediction with Bias
T. Guo, F. Xia, S. Zhen, X. Bai, D. Zhang, Z. Liu, J. Tang
AAAI’20: The 34th AAAI Conference on Artificial Intelligence, 2020.

A Multimodal Alerting System for Online Class Quality Assurance
J. Chen, H. Li, W. Wang, W. Ding, G. Huang, Z. Liu
AIED’19: The 20th International Conference on Artificial Intelligence in Education, 2019.

Deep Knowledge Tracing with Side Information
Z. Wang, X. Feng, J. Tang, G. Huang, Z. Liu
AIED’19: The 20th International Conference on Artificial Intelligence in Education, 2019.

Automatic Short Answer Grading via Multiway Attention Networks
T. Liu, W. Ding, Z. Wang, J. Tang, G. Huang, Z. Liu
AIED’19: The 20th International Conference on Artificial Intelligence in Education, 2019.

Recommender Systems with Heterogeneous Side Information
T. Liu, Z. Wang, J. Tang, S. Yang, Z. Liu
WWW’19, The Web Conference, 2019.

Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study
G. Xu, W. Ding, J. Tang, S. Yang, Z. Liu
ICDE’19: The 35th IEEE International Conference on Data Engineering, 2019.

What is That in Your Hand? Recognizing Grasped Objects via Forearm Electromyography Sensing
J. Fan, X. Fan, F. Tian, Y. Li, Z. Liu, W. Sun, and H. Wang
Ubicomp’19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2019.

A Practical Deep Online Ranking System in E-commerce Recommendation
Y. Yan, Z. Liu, M. Zhao, W. Tao, P. Yan, and Y. Bao
ECML-PKDD’18: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2018.

A Novel ILP Framework for Summarizing Content with High Lexical Variety
W. Luo, F. Liu, Z. Liu and D. Litman
NLE’18: Journal of Natural Language Engineering, 2018.

A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic
Z. Liu, Y. Yan, M. Hauskrecht
SIGIR’18: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018.

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
C. Eksombatchai, P. Jindal, Z. Liu, Y. Liu, R. Sharma, C. Sugnet, M. Ulrich, J. Leskovec
WWW’18: The Web Conference, 2018.

A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection
Z. Liu and M. Hauskrecht
CIKM’17: The 26th ACM International Conference on Information and Knowledge Management, 2017.

Automatic Summarization of Student Course Feedback
W. Luo, F. Liu, Z. Liu and D. Litman
NAACL HLT’16: The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016.

Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework
Z. Liu and M. Hauskrecht
SDM’16: SIAM International Conference on Data Mining, 2016.

Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data
Z. Liu and M. Hauskrecht
AAAI’16: Thirtieth AAAI Conference on Artificial Intelligence, 2016.

A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis
Z. Liu and M. Hauskrecht
AAAI’15: The Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.

Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic
Z. Liu, Y. Yan, J. Yang and and M. Hauskrecht
ICDM’15: International Conference on Data Mining, 2015.

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification
M. Pakdaman, I. Batal, Z. Liu, C. Hong and M. Hauskrecht
SDM’14: SIAM International Conference on Data Mining, 2014.

Modeling Clinical Time Series Using Gaussian Process Sequences
Z. Liu, L. Wu and M. Hauskrecht
SDM’13: SIAM International Conference on Data Mining, 2013.