Zitao Liu
Father of Two
Professor, Guangdong Institute of Smart Education
Jinan University, Guangzhou, China
liuzitao [AT] jnu.edu.cn
Bio
My research is in the area of machine learning, and includes contributions in the areas of artificial intelligence in education and educational data mining. I have published 80+ papers in highly ranked conference proceedings and my applied research has resulted in 40+ technology transfer and patents.
I conduct reproducible research. Trained models, datasets and scripts of data preprocessing and model training can be found at pykt.org, ai4ed@GitHub, tal-ai@GitHub, and tal-tech@GitHub.
Before joining JNU, I was the CTO of ThinkAcademy, CTO of Xueersi 1 on 1 and Head of AI Lab at TAL Education Group (NYSE: TAL).
News
Publications
Most recent publications on Google Scholar.
WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR
X. Tan, Z. He, C. Liu, M. Fan, T. Luo, Z. Liu, M. Tian, T. Han, F. Tian
CHI 2024
Exploring Bimanual Haptic Feedback for Spatial Search in Virtual Reality
B. Gao , T. Shao, H. Tu, Q. Ma, Z. Liu, T. Han
TVCG 2024
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
Z. Liu, Q. Liu, T. Guo, J. Chen, S. Huang, X. Zhao, J. Tang, W. Luo, J. Weng
NeurIPS 2023
How does the Memorization of Neural Networks Impact Adversarial Robust Models?
H. Xu, X. Liu, W. Wang, Z. Liu, A. Jain, J. Tang
KDD 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training
P. He, H. Xu, J. Ren, Y. Wan, Z. Liu, H. Liu, J. Tang
ICML 2023
Linear Attention Mechanism for Long-term Sequential Recommender Systems
L. Liu, X. Zhao, C. Zhang, J. Gao, W. Wang, W. Fan, Y. Wang, M. He, Z. Liu, Q. Li
SIGIR 2023
Towards Robust Knowledge Tracing Models via k-Sparse Attention
S. Huang, Z. Liu, X. Zhao, W. Luo, J. Weng
SIGIR 2023
AutoDPQ: Automated Differentiable Product Quantization Embedding Compression Framework
X. Gan, Y. Wang, X. Zhao, W. Wang, Y. Wang, Z. Liu
SIGIR 2023
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Z. Liu, Q. Liu, J. Chen, S. Huang, B. Gao, W. Luo, J. Weng
WWW 2023
Fairly Adaptive Negative Sampling for Recommendations
X. Chen, W. Fan, J. Chen, H. Liu, Z. Liu, Q. Li, Z. Zhang
WWW 2023
MMMLP: Multi-modal Multilayer Perceptron for Sequence Recommendation
J. Liang, X. Zhao, M. Li, Z. Zhang, H. Liu, Z. Liu
WWW 2023
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Z. Liu, Q. Liu, J. Chen, S. Huang, W. Luo
ICLR 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
J. Chen, Z. Liu, S. Huang, Q. Liu, W. Luo
AAAI 2023
Human Motion Transfer with 3D Constraints and Detail Enhancement
Y. Sun, Q. Fu, Y. Jiang, Z. Liu, Y. Lai, H. Fu, and L. Gao
TPAMI 2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Z. Liu, Q. Liu, J. Chen, S. Huang, J. Tang, W. Luo
NeurIPS 2022
Graph Neural Networks with Adaptive Residual
X. Liu, J. Ding, W. Jin, H. Xu, Y. Ma, Z. Liu, J. Tang
NeurIPS 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 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 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 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
H. Liu, W. Jin, H. Karimi, Z. Liu, J. Tang
ACL 2021
Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
M. Yang, Y. Li, Z. Huang, Z. Liu, P. Hu, X. Peng
CVPR 2021
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
Y. Lin, Y. Gou, Z. Liu, B. Li, J. Lv, X. Peng
CVPR 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 2021
Contrastive Clustering
Y. Li, P. Hu, Z. Liu, D. Peng, T. Zhou, X. Peng
AAAI 2021
Representation Learning from Limited Educational Data with Crowdsourced Labels
W. Wang, G. Xu, W. Ding, G. Huang, G. Li, J. Tang, Z. Liu
TKDE 2020
Zero-Shot Image Dehazing
B. Li, Y. Gou, Z. Liu, H. Zhu, J. Zhou, X. Peng
TIP 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
Y. Gou, B. Li, Z. Liu, S. Yang, and X. Peng
NeurIPS 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 2020
Learning Multi-level Dependencies for Robust Word Recognition
Z . Wang, H. Liu, J. Tang, S. Yang, G. Huang, Z. Liu
AAAI 2020
Graduate Employment Prediction with Bias
T. Guo, F. Xia, S. Zhen, X. Bai, D. Zhang, Z. Liu, J. Tang
AAAI 2020
Recommender Systems with Heterogeneous Side Information
T. Liu, Z. Wang, J. Tang, S. Yang, Z. Liu
WWW 2019
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study
G. Xu, W. Ding, S. Yang, Z. Liu
ICDE 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 2019
A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic
Z. Liu, Y. Yan, M. Hauskrecht
SIGIR 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 2018
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data
Z. Liu and M. Hauskrecht
AAAI 2016
A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis
Z. Liu and M. Hauskrecht
AAAI 2015
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
Z. Liu, Q. Liu, T. Guo, J. Chen, S. Huang, X. Zhao, J. Tang, W. Luo, J. Weng
NeurIPS 2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
Z. Zhang, X. Zhao, Q. Liu, C. Zhang, Q. Ma, W. Wang, H. Zhao, Y. Wang, Z. Liu
CIKM 2023
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
J. Chen, Z. Liu, S. Huang, Y. Huang, X. Zhao, B. Gao, W. Luo
CIKM 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Q. Ma, Z. Zhang, X. Zhao, H. Li, H. Zhao, Y. Wang, Z. Liu, W. Wang
CIKM 2023
MLPST: MLP is All You Need for Spatio-Temporal Prediction
Z. Zhang, Z. Huang, Z. Hu, X. Zhao, W. Wang, Z. Liu, J. Zhang, S. Qin, H. Zhao
CIKM 2023
How does the Memorization of Neural Networks Impact Adversarial Robust Models?
H. Xu, X. Liu, W. Wang, Z. Liu, A. Jain, J. Tang
KDD 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training
P. He, H. Xu, J. Ren, Y. Wan, Z. Liu, H. Liu, J. Tang
ICML 2023
Linear Attention Mechanism for Long-term Sequential Recommender Systems
L. Liu, X. Zhao, C. Zhang, J. Gao, W. Wang, W. Fan, Y. Wang, M. He, Z. Liu, Q. Li
SIGIR 2023
Towards Robust Knowledge Tracing Models via k-Sparse Attention
S. Huang, Z. Liu, X. Zhao, W. Luo, J. Weng
SIGIR 2023
AutoDPQ: Automated Differentiable Product Quantization Embedding Compression Framework
X. Gan, Y. Wang, X. Zhao, W. Wang, Y. Wang, Z. Liu
SIGIR 2023
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Z. Liu, Q. Liu, J. Chen, S. Huang, B. Gao, W. Luo, J. Weng
WWW 2023
Fairly Adaptive Negative Sampling for Recommendations
X. Chen, W. Fan, J. Chen, H. Liu, Z. Liu, Q. Li, Z. Zhang
WWW 2023
MMMLP: Multi-modal Multilayer Perceptron for Sequence Recommendation
J. Liang, X. Zhao, M. Li, Z. Zhang, H. Liu, Z. Liu
WWW 2023
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Z. Liu, Q. Liu, J. Chen, S. Huang, W. Luo
ICLR 2023
A Topic-Aware Data Generation Framework for Math Word Problems
T. Zhao, C Chai, J. Liu, G. Li, J. Feng, Z. Liu
DASFAA 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
J. Chen, Z. Liu, S. Huang, Q. Liu, W. Luo
AAAI 2023
Human Motion Transfer with 3D Constraints and Detail Enhancement
Y. Sun, Q. Fu, Y. Jiang, Z. Liu, Y. Lai, H. Fu, and L. Gao
TPAMI 2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Z. Liu, Q. Liu, J. Chen, S. Huang, J. Tang, W. Luo
NeurIPS 2022
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
J. Chen, S. Huang, Z. Liu, W. Luo
CIKM 2022
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels
Y. Hao, W. Ding, Z. Liu
KAIS 2022
Learning from Imbalanced Crowdsourced Labeled Data
W. Wang, J. Thekinen, X. Liu, Z. Liu, J. Tang
SDM 2022
Graph Neural Networks with Adaptive Residual
X. Liu, J. Ding, W. Jin, H. Xu, Y. Ma, Z. Liu, J. Tang
NeurIPS 2021
Interactive Knowledge Distillation for Image Classification
S. Fu, Z. Li, J. Xu, M. Cheng, Z. Liu, X. Yang
Neurocomputing 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 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 2021
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
T. Liu, Q. Fang, W. Ding, H. Li, Z. Wu, Z. Liu
EMNLP 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 2021
Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition
H. Li, W. Ding, Z. Wu, Z. Liu
IS 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 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 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
H. Liu, W. Jin, H. Karimi, Z. Liu, J. Tang
ACL 2021
Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
M. Yang, Y. Li, Z. Huang, Z. Liu, P. Hu, X. Peng
CVPR 2021
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
Y. Lin, Y. Gou, Z. Liu, B. Li, J. Lv, X. Peng
CVPR 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 2021
Contrastive Clustering
Y. Li, P. Hu, Z. Liu, D. Peng, T. Zhou, X. Peng
AAAI 2021
Node Similarity Preserving Graph Convolutional Networks
W. Jin, T. Derr, Y. Wang, Y. Ma, Z. Liu, J. Tang
WSDM 2021
Representation Learning from Limited Educational Data with Crowdsourced Labels
W. Wang, G. Xu, W. Ding, G. Huang, G. Li, J. Tang, Z. Liu
TKDE 2020
Zero-Shot Image Dehazing
B. Li, Y. Gou, Z. Liu, H. Zhu, J. Zhou, X. Peng
TIP 2020
Personalized Multimodal Feedback Generation in Education
H. Liu, Z. Liu, Z. Wu and J. Tang
COLING 2020
Does Gender Matter? Towards Fairness in Dialogue Systems
H. Liu, J. Dacon, W. Fan, H. Liu, Z. Liu, J. Tang
COLING 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 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
Y. Gou, B. Li, Z. Liu, S. Yang, and X. Peng
NeurIPS 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 2020
Multimodal Learning For Classroom Activity Detection
H. Li, Y. Kang, W. Ding, S. Yang, S. Yang, Y. Huang, Z. Liu
ICASSP 2020
Upgrading CRFs to JRFs And Its Benefits To Sequence Modeling And Labeling
Y. Song, Z. Ou, Z. Liu, S. Yang
ICASSP 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 2020
Global-and-Local Aware Data Generation for the Class Imbalance Problem
W. Wang, S. Wang, W. Fan, Z. Liu, J. Tang
SDM 2020
Learning Multi-level Dependencies for Robust Word Recognition
Z . Wang, H. Liu, J. Tang, S. Yang, G. Huang, Z. Liu
AAAI 2020
Graduate Employment Prediction with Bias
T. Guo, F. Xia, S. Zhen, X. Bai, D. Zhang, Z. Liu, J. Tang
AAAI 2020
Recommender Systems with Heterogeneous Side Information
T. Liu, Z. Wang, J. Tang, S. Yang, Z. Liu
WWW 2019
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study
G. Xu, W. Ding, S. Yang, Z. Liu
ICDE 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 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 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 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 2018
A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection
Z. Liu and M. Hauskrecht
CIKM 2017
Automatic Summarization of Student Course Feedback
W. Luo, F. Liu, Z. Liu and D. Litman
NAACL 2016
Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework
Z. Liu and M. Hauskrecht
SDM 2016
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data
Z. Liu and M. Hauskrecht
AAAI 2016
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic
Z. Liu, Y. Yan, J. Yang and and M. Hauskrecht
ICDM 2015
A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis
Z. Liu and M. Hauskrecht
AAAI 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 2014
Modeling Clinical Time Series Using Gaussian Process Sequences
Z. Liu, L. Wu and M. Hauskrecht
SDM 2013
WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR
X. Tan, Z. He, C. Liu, M. Fan, T. Luo, Z. Liu, M. Tian, T. Han, F. Tian
CHI 2024
Exploring Bimanual Haptic Feedback for Spatial Search in Virtual Reality
B. Gao , T. Shao, H. Tu, Q. Ma, Z. Liu, T. Han
TVCG 2024
Secure and Memorable Authentication Using Dynamic Combinations of 3D Objects in Virtual Reality
J. Wang, B. Gao, H. Tu, H. Liang, Z. Liu, W. Luo, J. Weng
IJHCI 2023
A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation
J. Yu, Z. Li, Z. Liu, M. Tian, Y. Lu
AIED 2023
A Multimodal Language Learning System for Chinese Character Using Foundation Model
J. Yu, Z. Liu, M. Tian, Y. Lu
EDM 2023
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners
Q. Liu, Y. Huang, Z. Liu, S. Huang, J. Chen, X. Zhao, G. Liu, Y. Zhou, W. Luo
ITS 2023
SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data
F. Xia, T. Guo, X. Bai, A. Shatte, Z. Liu, J. Tang
TDS 2022
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
S. Huang, Q. Liu, J. Chen, X. Hu, Z. Liu, W. Luo
AIED 2022
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
J. Chen, Z. Liu, W. Luo
AIED 2022
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 2021
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
J. Chen, H. Li, W. Ding, Z. Liu
AIED 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 2021
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension
S. Xu, G. Xu, P. Jia, W. Ding, Z. Wu, Z. Liu
AIED 2021
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
H. Li, Y. Kang, Y. Hao, W. Ding, Z. Wu, Z. Liu
AIED 2021
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
H. Li, W. Ding, Z. Liu
EDM 2020
Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes
S. Xu, W. Ding, Z. Liu
AIED 2020
Siamese Neural Networks for Class Activity Detection
H. Li, Z. Wang, J. Tang, W. Ding, Z. Liu
AIED 2020
Neural Multi-Task Learning for Automatic Detection of Teacher Questions in Online Classrooms
G. Huang, J. Chen, H. Liu, W. Fu, W. Ding, J. Tang, S. Yang, G. Li, Z. Liu
AIED 2020
A Multimodal Alerting System for Online Class Quality Assurance
J. Chen, H. Li, W. Wang, W. Ding, G. Huang, Z. Liu
AIED 2019
Deep Knowledge Tracing with Side Information
Z. Wang, X. Feng, J. Tang, G. Huang, Z. Liu
AIED 2019
Automatic Short Answer Grading via Multiway Attention Networks
T. Liu, W. Ding, Z. Wang, J. Tang, G. Huang, Z. Liu
AIED 2019
WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR
X. Tan, Z. He, C. Liu, M. Fan, T. Luo, Z. Liu, M. Tian, T. Han, F. Tian
CHI 2024
Exploring Bimanual Haptic Feedback for Spatial Search in Virtual Reality
B. Gao , T. Shao, H. Tu, Q. Ma, Z. Liu, T. Han
TVCG 2024
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
Z. Liu, Q. Liu, T. Guo, J. Chen, S. Huang, X. Zhao, J. Tang, W. Luo, J. Weng
NeurIPS 2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
Z. Zhang, X. Zhao, Q. Liu, C. Zhang, Q. Ma, W. Wang, H. Zhao, Y. Wang, Z. Liu
CIKM 2023
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
J. Chen, Z. Liu, S. Huang, Y. Huang, X. Zhao, B. Gao, W. Luo
CIKM 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Q. Ma, Z. Zhang, X. Zhao, H. Li, H. Zhao, Y. Wang, Z. Liu, W. Wang
CIKM 2023
MLPST: MLP is All You Need for Spatio-Temporal Prediction
Z. Zhang, Z. Huang, Z. Hu, X. Zhao, W. Wang, Z. Liu, J. Zhang, S. Qin, H. Zhao
CIKM 2023
Secure and Memorable Authentication Using Dynamic Combinations of 3D Objects in Virtual Reality
J. Wang, B. Gao, H. Tu, H. Liang, Z. Liu, W. Luo, J. Weng
IJHCI 2023
How does the Memorization of Neural Networks Impact Adversarial Robust Models?
H. Xu, X. Liu, W. Wang, Z. Liu, A. Jain, J. Tang
KDD 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training
P. He, H. Xu, J. Ren, Y. Wan, Z. Liu, H. Liu, J. Tang
ICML 2023
A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation
J. Yu, Z. Li, Z. Liu, M. Tian, Y. Lu
AIED 2023
A Multimodal Language Learning System for Chinese Character Using Foundation Model
J. Yu, Z. Liu, M. Tian, Y. Lu
EDM 2023
Linear Attention Mechanism for Long-term Sequential Recommender Systems
L. Liu, X. Zhao, C. Zhang, J. Gao, W. Wang, W. Fan, Y. Wang, M. He, Z. Liu, Q. Li
SIGIR 2023
Towards Robust Knowledge Tracing Models via k-Sparse Attention
S. Huang, Z. Liu, X. Zhao, W. Luo, J. Weng
SIGIR 2023
AutoDPQ: Automated Differentiable Product Quantization Embedding Compression Framework
X. Gan, Y. Wang, X. Zhao, W. Wang, Y. Wang, Z. Liu
SIGIR 2023
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners
Q. Liu, Y. Huang, Z. Liu, S. Huang, J. Chen, X. Zhao, G. Liu, Y. Zhou, W. Luo
ITS 2023
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Z. Liu, Q. Liu, J. Chen, S. Huang, B. Gao, W. Luo, J. Weng
WWW 2023
Fairly Adaptive Negative Sampling for Recommendations
X. Chen, W. Fan, J. Chen, H. Liu, Z. Liu, Q. Li, Z. Zhang
WWW 2023
MMMLP: Multi-modal Multilayer Perceptron for Sequence Recommendation
J. Liang, X. Zhao, M. Li, Z. Zhang, H. Liu, Z. Liu
WWW 2023
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Z. Liu, Q. Liu, J. Chen, S. Huang, W. Luo
ICLR 2023
A Topic-Aware Data Generation Framework for Math Word Problems
T. Zhao, C Chai, J. Liu, G. Li, J. Feng, Z. Liu
DASFAA 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
J. Chen, Z. Liu, S. Huang, Q. Liu, W. Luo
AAAI 2023
Human Motion Transfer with 3D Constraints and Detail Enhancement
Y. Sun, Q. Fu, Y. Jiang, Z. Liu, Y. Lai, H. Fu, and L. Gao
TPAMI 2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Z. Liu, Q. Liu, J. Chen, S. Huang, J. Tang, W. Luo
NeurIPS 2022
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
J. Chen, S. Huang, Z. Liu, W. Luo
CIKM 2022
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels
Y. Hao, W. Ding, Z. Liu
KAIS 2022
SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data
F. Xia, T. Guo, X. Bai, A. Shatte, Z. Liu, J. Tang
TDS 2022
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
S. Huang, Q. Liu, J. Chen, X. Hu, Z. Liu, W. Luo
AIED 2022
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
J. Chen, Z. Liu, W. Luo
AIED 2022
Learning from Imbalanced Crowdsourced Labeled Data
W. Wang, J. Thekinen, X. Liu, Z. Liu, J. Tang
SDM 2022
Graph Neural Networks with Adaptive Residual
X. Liu, J. Ding, W. Jin, H. Xu, Y. Ma, Z. Liu, J. Tang
NeurIPS 2021
Interactive Knowledge Distillation for Image Classification
S. Fu, Z. Li, J. Xu, M. Cheng, Z. Liu, X. Yang
Neurocomputing 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 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 2021
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
T. Liu, Q. Fang, W. Ding, H. Li, Z. Wu, Z. Liu
EMNLP 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 2021
Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition
H. Li, W. Ding, Z. Wu, Z. Liu
IS 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 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 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
H. Liu, W. Jin, H. Karimi, Z. Liu, J. Tang
ACL 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 2021
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
J. Chen, H. Li, W. Ding, Z. Liu
AIED 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 2021
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension
S. Xu, G. Xu, P. Jia, W. Ding, Z. Wu, Z. Liu
AIED 2021
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
H. Li, Y. Kang, Y. Hao, W. Ding, Z. Wu, Z. Liu
AIED 2021
Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
M. Yang, Y. Li, Z. Huang, Z. Liu, P. Hu, X. Peng
CVPR 2021
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
Y. Lin, Y. Gou, Z. Liu, B. Li, J. Lv, X. Peng
CVPR 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 2021
Contrastive Clustering
Y. Li, P. Hu, Z. Liu, D. Peng, T. Zhou, X. Peng
AAAI 2021
Node Similarity Preserving Graph Convolutional Networks
W. Jin, T. Derr, Y. Wang, Y. Ma, Z. Liu, J. Tang
WSDM 2021
Representation Learning from Limited Educational Data with Crowdsourced Labels
W. Wang, G. Xu, W. Ding, G. Huang, G. Li, J. Tang, Z. Liu
TKDE 2020
Zero-Shot Image Dehazing
B. Li, Y. Gou, Z. Liu, H. Zhu, J. Zhou, X. Peng
TIP 2020
Personalized Multimodal Feedback Generation in Education
H. Liu, Z. Liu, Z. Wu and J. Tang
COLING 2020
Does Gender Matter? Towards Fairness in Dialogue Systems
H. Liu, J. Dacon, W. Fan, H. Liu, Z. Liu, J. Tang
COLING 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 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
Y. Gou, B. Li, Z. Liu, S. Yang, and X. Peng
NeurIPS 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 2020
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
H. Li, W. Ding, Z. Liu
EDM 2020
Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes
S. Xu, W. Ding, Z. Liu
AIED 2020
Siamese Neural Networks for Class Activity Detection
H. Li, Z. Wang, J. Tang, W. Ding, Z. Liu
AIED 2020
Neural Multi-Task Learning for Automatic Detection of Teacher Questions in Online Classrooms
G. Huang, J. Chen, H. Liu, W. Fu, W. Ding, J. Tang, S. Yang, G. Li, Z. Liu
AIED 2020
Multimodal Learning For Classroom Activity Detection
H. Li, Y. Kang, W. Ding, S. Yang, S. Yang, Y. Huang, Z. Liu
ICASSP 2020
Upgrading CRFs to JRFs And Its Benefits To Sequence Modeling And Labeling
Y. Song, Z. Ou, Z. Liu, S. Yang
ICASSP 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 2020
Global-and-Local Aware Data Generation for the Class Imbalance Problem
W. Wang, S. Wang, W. Fan, Z. Liu, J. Tang
SDM 2020
Learning Multi-level Dependencies for Robust Word Recognition
Z . Wang, H. Liu, J. Tang, S. Yang, G. Huang, Z. Liu
AAAI 2020
Graduate Employment Prediction with Bias
T. Guo, F. Xia, S. Zhen, X. Bai, D. Zhang, Z. Liu, J. Tang
AAAI 2020
A Multimodal Alerting System for Online Class Quality Assurance
J. Chen, H. Li, W. Wang, W. Ding, G. Huang, Z. Liu
AIED 2019
Deep Knowledge Tracing with Side Information
Z. Wang, X. Feng, J. Tang, G. Huang, Z. Liu
AIED 2019
Automatic Short Answer Grading via Multiway Attention Networks
T. Liu, W. Ding, Z. Wang, J. Tang, G. Huang, Z. Liu
AIED 2019
Recommender Systems with Heterogeneous Side Information
T. Liu, Z. Wang, J. Tang, S. Yang, Z. Liu
WWW 2019
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study
G. Xu, W. Ding, S. Yang, Z. Liu
ICDE 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 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 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 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 2018
A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection
Z. Liu and M. Hauskrecht
CIKM 2017
Automatic Summarization of Student Course Feedback
W. Luo, F. Liu, Z. Liu and D. Litman
NAACL 2016
Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework
Z. Liu and M. Hauskrecht
SDM 2016
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data
Z. Liu and M. Hauskrecht
AAAI 2016
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic
Z. Liu, Y. Yan, J. Yang and and M. Hauskrecht
ICDM 2015
A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis
Z. Liu and M. Hauskrecht
AAAI 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 2014
Modeling Clinical Time Series Using Gaussian Process Sequences
Z. Liu, L. Wu and M. Hauskrecht
SDM 2013
Achievements
Sentence type recognition method and apparatus, electronic device, and storage medium
Patent No.: US11775769B2, Date of Patent: Oct 03, 2023
Speaker recognition method, electronic device, and storage medium
Patent No.: US11676609B2, Date of Patent: Jun. 13, 2023
Data reduction for node graph creation
Patent No.: US11256747B1, Date of Patent: Feb. 22, 2022
Method and apparatus for object preference prediction, and computer readable medium
Patent No.: US11651255B2, Date of Patent: May 16, 2023
Data processing method, electronic device and computer-readable medium
Pub.No.:US20220358362A1, Pub.Date: Nov. 10, 2022
Method for determining teaching style, and computer storage medium
US20220270016A1, Pub.Date: Aug. 25, 2022
教师风格预测模型的训练方法及计算机存储介质
CN111832787B, 2022-12-09
课堂质量模型的训练方法、课堂质量评价方法及装置
CN112116181B, 2022-12-02
视频切分方法、装置和计算机存储介质
CN111601162B, 2022-08-02
语句类型识别方法、装置、电子设备和存储介质
CN111753553B, 2022-07-05
音频识别方法、装置、电子设备及存储介质
CN113096646B, 2022-06-07
说话人识别方法、装置、电子设备及存储介质
CN111785287B, 2022-06-07
音频内容质量的检测方法及装置
CN112559798B, 2022-05-17
教师风格的确定方法及计算机存储介质
CN111832595B, 2022-05-06
颜值打分模型训练方法、颜值打分方法及相关装置
CN111626248B, 2022-05-06
文本连贯性判定及其模型训练方法、电子设备及可读介质
CN111428470B, 2022-04-22
语言类型判别方法、装置、设备及存储介质
CN111626067B, 2022-04-19
数据处理方法、电子设备及计算机可读介质
CN111832596B, 2022-03-22
一种文本匹配方法、装置、设备及介质
CN112632232B, 2022-03-15
预训练模型的训练方法、编码特征获取方法及相关装置
CN113257238B, 2021-10-01
文本分类的方法、装置、设备和计算机可读存储介质
CN112989051B, 2021-09-10
识别对话中句子类别的方法、装置、电子设备和存储介质
CN112989822B, 2021-08-27
语音合成模型训练方法、语音合成方法及装置
CN110288972B, 2021-08-13
视频分类的方法、装置、电子设备和计算机存储介质
CN112989117B, 2021-08-13
语音信息检索方法、装置、设备和计算机可读存储介质
CN111078937B, 2021-08-10
一种视频片段的获取方法、装置及设备
CN112804586B, 2021-07-16
音频不流利事件的识别方法、装置、设备及可读存储介质
CN112687296B, 2021-06-29
视频处理方法及系统、图片处理方法及系统、设备、介质
CN111275097B, 2021-06-18
对象偏好预测的方法、装置和计算机可读介质
CN109726331B, 2021-05-18
学情信息获取方法、装置、设备和存储介质
CN112331211B, 2021-05-07
语音对齐方法、装置、电子设备及存储介质
CN111276121B, 2021-04-30
内容推荐方法、装置、电子设备及存储介质
CN112364252B, 2021-04-23
音频数据分类方法、训练方法及装置、介质、计算机设备
CN112395456B, 2021-04-13
文本纠错模型训练、文本纠错方法及相关装置
CN112395864B, 2021-04-06
置信度校正及其模型训练方法、装置、设备及存储介质
CN111326148B, 2021-02-23
文本识别方法、电子设备及计算机可读介质
CN112036122B, 2021-02-23
说话者角色确定方法、装置、设备及存储介质
CN111341318B, 2021-02-12
文本纠错的适配方法、装置、电子设备及存储介质
CN112036162B, 2021-02-12
拼音标注方法、装置、电子设备及存储介质
CN112101025B, 2021-02-02
会话切分方法、电子设备及计算机可读介质
CN111970311B, 2021-02-02
会话切分方法、装置、电子设备和存储介质
CN111708866B, 2020-12-11
直播类在线教学平台安全保障要求 (Cyber security requirements of online streaming classes platform)
JY/T 0651-2022
中华人民共和国教育部
词典笔功能要求及测试方法 (Functional requirements and test methods for dictionary pen)
T/ISC 0020-2022
中国互联网协会
互联网企业未成年人网络保护管理体系 (Management system on minors online protection for Internet companies)
T/ISC 0027—2023
中国互联网协会
儿童陪伴机器人技术规范 (Technical specification for children's companion robot)
T/SUCA 041-2022
深圳市8K超高清视频产业协作联盟
教育通用人工智能大模型 - 第1部分:总体框架 (Artificial general intelligence model for education — Part 1: General framework)
T/SAIA 0013.1—2023
上海市人工智能行业协会团体标准
教育通用人工智能大模型 - 第2部分:信息模型 (Artificial general intelligence model for education — Part 2: Information model)
T/SAIA 0013.2—2023
上海市人工智能行业协会团体标准
教育通用人工智能大模型 - 第3部分:数据规范 (Artificial general intelligence model for education — Part 3: Data specification)
T/SAIA 0013.3—2023
上海市人工智能行业协会团体标准
教育通用人工智能大模型 - 第4部分:测评规范 (Artificial general intelligence model for education — Part 4: Evaluation specification)
T/SAIA 0013.4—2023
上海市人工智能行业协会团体标准
2023年国际智慧教育竞赛The Quest for Quality Questions
冠军
The Learning Agency
2022年中国计算语言学大会(CCL)聊天机器人幽默感测评
冠军
CCL 2022
2022年国际计算机教育数据挖掘(CSEDM)学生成绩预测挑战赛
冠军
CSEDM@EDM 2022
2022年国际计算机教育数据挖掘(CSEDM)知识追踪挑战赛
亚军
CSEDM@EDM 2022
2021年中国计算语言学大会(CCL)图文多模态幽默识别评测
亚军
CCL 2021
2020年CCF-A类会议国际神经信息处理系统大会(NeurIPS)教育题目质量挑战赛
冠军
NeurIPS 2020
2020年CCF-A类会议国际神经信息处理系统大会(NeurIPS)教育挑战赛综合排名
亚军
NeurIPS 2020
2020年CCF-A类会议国际普适计算大会(Ubicomp)时间序列分类挑战赛
冠军
Ubicomp 2020
2020年CCF-B类会议国际自然语言处理经验方法会议(EMNLP)开放领域对话挑战赛
亚军
SCAI@EMNLP 2020
2020年中国计算语言学大会(CCL)幽默计算情景喜剧笑点识别评测
冠军
CCL 2020
Services
The 25th International Conference on Artificial Intelligence in Education (AIED 2024)
Program Co-chair
The 28th Global Chinese Conference on Computers in Education (GCCCE 2024)
Workshop Co-chair
The 24th International Conference on Artificial Intelligence in Education (AIED 2023)
Industry and Innovation Track Co-chair
The 23rd International Conference on Artificial Intelligence in Education (AIED 2022)
Industry and Innovation Track Co-chair
The 15th ACM International Web Search and Data Mining Conference (WSDM 2022)
WSDM Cup Co-chair
The 22nd International Conference on Artificial Intelligence in Education (AIED 2021)
Workshop Co-chair
The 5th International Workshop on Artificial Intelligence for Education
AAAI 2024
Workshop Co-chair (main contact)
International Symposium on Multimodal Reasoning - Techniques, Applications, and Challenges
IJCAI 2023
Workshop Co-chair
International Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation
AIED 2023
Workshop Co-chair
The 4th International Workshop on Artificial Intelligence for Education
AAAI 2023
Workshop Co-chair (main contact)
The 3rd International Workshop on Artificial Intelligence for Education
AAAI 2022
Workshop Co-chair (main contact)
The 2nd International Workshop on Artificial Intelligence for Education
IJCAI 2021
Workshop Co-chair (main contact)
International Symposium on Artificial Intelligence for K-12 Education
AAAI 2021 Spring Symposium
Workshop Co-chair (main contact)
The 1st International Workshop on Artificial Intelligence for Education
AAAI 2020
Workshop Co-chair (main contact)
Tutorial on Recent Advances in Multimodal Educational Data Mining in K-12 Education
KDD 2020
Co-organizer (main contact)
Tutorial on Multimodal Learning in K-12 Education - Promise, Progress and Challenges
IJCAI 2020
Co-organizer (main contact)