I work at TAL Education Group since 2018. I lead a team of 200+ engineers to transform the K-12 one-on-one education industry, both online and offline.

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).


Publications

Learning from Imbalanced Crowdsourced Labeled Data
W. Wang, J. Thekinen, X. Liu, Z. Liu, J. Tang
SDM’22: SIAM International Conference on Data Mining, 2022.

Graph Neural Networks with Adaptive Residual
X. Liu, J. Ding, W. Jin, H. Xu, Y. Ma, Z. Liu, J. Tang
NeurIPS’21: The 35th Conference on Neural Information Processing Systems, 2021.

NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels
Y. Hao, W. Ding, Z. Liu
KAIS’21: Knowledge and Information Systems, 2021.

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
T. Liu, Q. Fang, W. Ding, H. Li, Z. Wu, Z. Liu
EMNLP’21: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021.

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
H. Li, W. Ding, Y. Kang, T. Liu, Z. Wu, Z. Liu
EMNLP’21: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021.

Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining
G. Xu, W. Ding, W. Fu, Z. Wu, Z. Liu
ECML-PKDD’21: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.

Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition
H. Li, W. Ding, Z. Wu, Z. Liu
INTERSPEECH’21: The Interspeech Conference, 2021.

Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
J. Guan, X. Mao, C. Fan, Z. Liu, W. Ding, M. Huang
ACL’21: The 59th Annual Meeting of the Association for Computational Linguistics, 2021.

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
J. Guan, Z. Zhang, Z. Feng, Z. Liu, W. Ding, X. Mao, C. Fan, M. Huang
ACL’21: The 59th Annual Meeting of the Association for Computational Linguistics, 2021.

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
H. Liu, W. Jin, H. Karimi, Z. Liu, J. Tang
Findings of ACL’21: The 59th Annual Meeting of the Association for Computational Linguistics, 2021.

Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models
Y. Hao, H. Li, W. Ding, Z. Wu, J. Tang, R. Luckin, Z. Liu
AIED’21: The 22nd International Conference on Artificial Intelligence in Education, 2021.

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
J. Chen, H. Li, W. Ding, Z. Liu
AIED’21: The 22nd International Conference on Artificial Intelligence in Education, 2021.

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models
Q. Liu, T. Liu, J. Zhao, Q. Fang, W. Ding, Z. Wu, F. Xia, J. Tang, Z. Liu
AIED’21: The 22nd International Conference on Artificial Intelligence in Education, 2021.

Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension
S. Xu, G. Xu, P. Jia, W. Ding, Z. Wu, Z. Liu
AIED’21: The 22nd International Conference on Artificial Intelligence in Education, 2021.

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
H. Li, Y. Kang, Y. Hao, W. Ding, Z. Wu, Z. Liu
AIED’21: The 22nd International Conference on Artificial Intelligence in Education, 2021.

Interactive Knowledge Distillation for Image Classification
S. Fu, Z. Li, Z. Liu, X. Yang
Neurocomputing’21: Neurocomputing, 2021.

Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
M. Yang, Y. Li, Z. Huang, Z. Liu, P. Hu, X. Peng
CVPR’21: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.

COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
Y. Lin, Y. Gou, Z. Liu, B. Li, J. Lv, X. Peng
CVPR’21: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.

CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling
K. Li, G. Li, Y. Wang, Y. Huang, Z. Liu, and Z. Wu
ICDE’21: The 37th IEEE International Conference on Data Engineering, 2021.

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
B. Li, Y. Gou, S. Gu, Z. Liu, J. Zhou, X. Peng
IJCV’21: International Journal of Computer Vision, 2021.

Real-time and Effective Pan-sharpening for Remote Sensing using Multi-scale Fusion Network
Z. Lai, L. Chen, G. Jeon, Z. Liu, R. Zhong, X. Yang
JRTIP’21: Journal of Real-Time Image Processing, 2021.

Contrastive Clustering
Y. Li, P. Hu, Z. Liu, D. Peng, T. Zhou, X. Peng
AAAI’21: The 35th AAAI Conference on Artificial Intelligence, 2021.

Node Similarity Preserving Graph Convolutional Networks
W. Jin, T. Derr, Y. Wang, Y. Ma, Z. Liu, J. Tang
WSDM’21: The 14th ACM International Web Search and Data Mining Conference, 2021.

Personalized Multimodal Feedback Generation in Education
H. Liu, Z. Liu, Z. Wu and J. Tang
COLING’20: The 28th International Conference on Computational Linguistics, 2020.

Does Gender Matter? Towards Fairness in Dialogue Systems
H. Liu, J. Dacon, W. Fan, H. Liu, Z. Liu, J. Tang
COLING’20: The 28th International Conference on Computational Linguistics, 2020.

Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Z. Zhang, L. Liao, X. Zhu, T. Chua, Z. Liu, Y. Huang, M. Huang
AACL’20: The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2020.

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
H. Liu, W. Wang, Y. Wang, H. Liu, Z. Liu and J. Tang
EMNLP’20: The 2020 Conference on Empirical Methods in Natural Language Processing, 2020.

CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
Y. Gou, B. Li, Z. Liu, S. Yang, X. Peng
NeurIPS’20: The 34th Annual Conference on Neural Information Processing Systems, 2020.

Learning from Incomplete Labeled Data via Adversarial Data Generation
W. Wang, T. Derr, Y. Ma, S. Wang, H. Liu, Z. Liu, J. Tang
ICDM’20: The 20th IEEE International Conference on Data Mining, 2020.

Synchronous Bidirectional Learning for Multilingual Lip Reading
M. Luo, S. Yang, X. Chen, Z. Liu, S. Shan
BMVC’20: The British Machine Vision Conference, 2020.

Representation Learning from Limited Educational Data with Crowdsourced Labels
W. Wang, G. Xu, W. Ding, G. Huang, G. Li, J. Tang, Z. Liu
TKDE’20: IEEE Transaction on Knowledge and Data Engineering, 2020.

Zero-Shot Image Dehazing
B. Li, Y. Gou, Z. Liu, H. Zhu, J. Zhou, X. Peng
TIP’20: IEEE Transaction on Image Processing, 2020.

Sequence Learning with Side Dependencies
Z. Wang, H. Liu, G. Huang, Z. Liu
DSAA’20: The 7th IEEE International Conference on Data Science and Advanced Analytics, 2020.

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
H. Li, W. Ding, Z. Liu
EDM’20: The 13th International Conference on Educational Data Mining, 2020.

Siamese Neural Networks for Class Activity Detection
H. Li, Z. Wang, J. Tang, W. Ding, Z. Liu
AIED’20: The 21th International Conference on Artificial Intelligence in Education, 2020.

Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
G. Huang, J. Chen, H. Liu, W. Fu, W. Ding, J. Tang, S. Yang, G. Li, Z. Liu
AIED’20: The 21th International Conference on Artificial Intelligence in Education, 2020.

Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes
S. Xu, W. Ding, Z. Liu
AIED’20: The 21th International Conference on Artificial Intelligence in Education, 2020.

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’18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2018.

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: The 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 World Wide 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.