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Model Inversion Attacks against Graph Neural Networks


Sep 19, 2022
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen

* Accepted by TKDE. arXiv admin note: substantial text overlap with arXiv:2106.02820 

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Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification


May 18, 2022
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen

* 11 pages, 7 figures, Sigir 2022 

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GraphMI: Extracting Private Graph Data from Graph Neural Networks


Jun 05, 2021
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

* 7 pages, 6 figures, accepted by IJCAI'21 

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A Survey of Knowledge Tracing


Jun 01, 2021
Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng

* 20 pages 

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Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing


Jan 15, 2021
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang

* Accepted by ICDM'2020 

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ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction


Jul 07, 2020
Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee

* 9 pages 

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Learning to Order Sub-questions for Complex Question Answering


Nov 12, 2019
Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai


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Interpretable Cognitive Diagnosis with Neural Network


Sep 04, 2019
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang


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Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective


Jun 25, 2019
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He


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EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction


Jun 07, 2019
Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu

* Accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) 

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