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).
Most recent publications on Google Scholar.
Enhancing Length Generalization for Attention based Knowledge Tracing Models with Linear Biases
X. Li, Y. Bai, T. Guo, Z. Liu, Y. Huang, X. Zhao, F. Xia, W. Luo, J. Weng
IJCAI 2024
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
Extending Context Window of Attention based Knowledge Tracing Models via Length Extrapolation
X. Li, Y. Bai, T. Guo, Y. Zheng, M. Hou, B. Zhan, Y. Huang, Z. Liu, B. Gao, W. Luo
ECAI 2024
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
H. Zhang, Z. Liu, C. Shang, D. Li, Y. Jiang
TKDD 2024
Enhancing Length Generalization for Attention based Knowledge Tracing Models with Linear Biases
X. Li, Y. Bai, T. Guo, Z. Liu, Y. Huang, X. Zhao, F. Xia, W. Luo, J. Weng
IJCAI 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
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
Automatic Lesson Plan Generation via Large Language Models with Self-Critique Prompting
Y. Zheng, X. Li, Y. Huang, Q. Liang, T. Guo, M. Hou, B. Gao, M. Tian, Z. Liu, W. Luo
AIED 2024
Knowledge Tracing as Language Processing: A Large-scale Autoregressive Paradigm
B. Zhan, T. Guo, X. Li, M. Hou, Q. Liang, B. Gao, W. Luo, Z. Liu
AIED 2024
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
Extending Context Window of Attention based Knowledge Tracing Models via Length Extrapolation
X. Li, Y. Bai, T. Guo, Y. Zheng, M. Hou, B. Zhan, Y. Huang, Z. Liu, B. Gao, W. Luo
ECAI 2024
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
H. Zhang, Z. Liu, C. Shang, D. Li, Y. Jiang
TKDD 2024
Enhancing Length Generalization for Attention based Knowledge Tracing Models with Linear Biases
X. Li, Y. Bai, T. Guo, Z. Liu, Y. Huang, X. Zhao, F. Xia, W. Luo, J. Weng
IJCAI 2024
Automatic Lesson Plan Generation via Large Language Models with Self-Critique Prompting
Y. Zheng, X. Li, Y. Huang, Q. Liang, T. Guo, M. Hou, B. Gao, M. Tian, Z. Liu, W. Luo
AIED 2024
Knowledge Tracing as Language Processing: A Large-scale Autoregressive Paradigm
B. Zhan, T. Guo, X. Li, M. Hou, Q. Liang, B. Gao, W. Luo, Z. Liu
AIED 2024
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
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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
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ACL 2021
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
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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
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
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中国互联网协会
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T/ISC 0027—2023
中国互联网协会
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T/SUCA 041-2022
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T/SAIA 0013.1—2023
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CSEDM@EDM 2022
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亚军
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亚军
CCL 2021
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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
International Workshop on Artificial Intelligence for Education
KDD 2024
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)