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

    01/2024: One paper was accepted by IEEE TVCG'2024.
    01/2024: One white paper of 3D content generation was released at 2024 ZGC Forum.
    12/2023: Received 3rd Service Industry Technology Innovation Award from China General Chamber of Commerce.
    12/2023: Received 2023 TOP 100 Open Source Achievement Award from BenchCouncil.
    12/2023: Invited to serve as a Senior PC member of IJCAI'2024.
    10/2023: Nominated as Workshop Chair for the 28th Global Chinese Conference on Computers in Education (GCCCE'2024).
    09/2023: One paper was accepted by NeurIPS'2023.
    09/2023: Our Artificial Intelligence for Education workshop was accepted at AAAI'2024.
    09/2023: Nominated as Program Chair for the 25th International Conference on Artificial Intelligence in Education (AIED'2024).
    08/2023: Four papers was accepted by CIKM'2023.
    07/2023: One US patent was granted.
    07/2023: Invited to talk about EduGPT on UNESCO's flagship Digital Learning Week at UNESCO Headquarters in Paris, France.
    07/2023: Four standards of AGI model for education were released at WAIC'2023.
    05/2023: One paper was accepted by KDD'2023.
    05/2023: Invited to serve as a Senior PC member of AAAI'2024.
    05/2023: One paper was accepted by the International Journal of Human-Computer Interaction (IJHCI'2023).
    04/2023: One paper was accepted by ICML'2023.
    04/2023: Papers were accepted by AIED'2023, EDM'2023.
    04/2023: Three Papers were accepted by SIGIR'2023.
    03/2023: One paper was accepted by ITS'2023.
    01/2023: Three Papers were accepted by WWW'2023.

Publications

Most recent publications on Google Scholar.

  • Selected
  • ML/DM
  • AIED
  • All

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

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

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

  • US Patents
  • China Patents
  • Standards
  • Competitions

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

  • Conferences
  • Workshops
  • Tutorials

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)