Zhenya Huang
Title
Cited by
Cited by
Year
Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors
Z Li, H Zhao, Q Liu, Z Huang, T Mei, E Chen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1122018
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
Q Liu, Z Huang, Y Yin, E Chen, H Xiong, Y Su, G Hu
IEEE Transactions on Knowledge and Data Engineering, 2019
912019
Exercise-enhanced sequential modeling for student performance prediction
Y Su, Q Liu, Q Liu, Z Huang, Y Yin, E Chen, C Ding, S Wei, G Hu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
852018
Question Difficulty Prediction for READING Problems in Standard Tests
Z Huang, Q Liu, E Chen, H Zhao, M Gao, S Wei, Y Su, G Hu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
662017
Finding similar exercises in online education systems
Q Liu, Z Huang, Z Huang, C Liu, E Chen, Y Su, G Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
502018
Modeling users’ preferences and social links in social networking services: a joint-evolving perspective
L Wu, Y Ge, Q Liu, E Chen, B Long, Z Huang
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
402016
Tracking knowledge proficiency of students with educational priors
Y Chen, Q Liu, Z Huang, L Wu, E Chen, R Wu, Y Su, G Hu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
372017
Neural Cognitive Diagnosis for Intelligent Education Systems
F Wang, Q Liu, E Chen, Z Huang, Y Chen, Y Yin, Z Huang, S Wang
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
36*2020
Molecular property prediction: A multilevel quantum interactions modeling perspective
C Lu, Q Liu, C Wang, Z Huang, P Lin, L He
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1052-1060, 2019
362019
Exploring multi-objective exercise recommendations in online education systems
Z Huang, Q Liu, C Zhai, Y Yin, E Chen, W Gao, G Hu
Proceedings of the 28th ACM International Conference on Information and …, 2019
272019
Cognitive diagnosis based personalized question recommendation
T Zhu, Z Huang, E Chen, Q Liu, R Wu, L Wu, GP Hu
Chinese Journal of Computers 40 (1), 176-191, 2017
25*2017
Learning or forgetting? a dynamic approach for tracking the knowledge proficiency of students
Z Huang, Q Liu, Y Chen, L Wu, K Xiao, E Chen, H Ma, G Hu
ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020
232020
DIRT: Deep learning enhanced item response theory for cognitive diagnosis
S Cheng, Q Liu, E Chen, Z Huang, Z Huang, Y Chen, H Ma, G Hu
Proceedings of the 28th ACM International Conference on Information and …, 2019
182019
Convolutional knowledge tracing: Modeling individualization in student learning process
S Shen, Q Liu, E Chen, H Wu, Z Huang, W Zhao, Y Su, H Ma, S Wang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
162020
Confidence-aware matrix factorization for recommender systems
C Wang, Q Liu, R Wu, E Chen, C Liu, X Huang, Z Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
152018
ASGN: An active semi-supervised graph neural network for molecular property prediction
Z Hao, C Lu, Z Huang, H Wang, Z Hu, Q Liu, E Chen, C Lee
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
142020
Transcribing content from structural images with spotlight mechanism
Y Yin, Z Huang, E Chen, Q Liu, F Zhang, X Xie, G Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
142018
Quesnet: A unified representation for heterogeneous test questions
Y Yin, Q Liu, Z Huang, E Chen, W Tong, S Wang, Y Su
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
122019
MT-MCD: A multi-task cognitive diagnosis framework for student assessment
T Zhu, Q Liu, Z Huang, E Chen, D Lian, Y Su, G Hu
International Conference on Database Systems for Advanced Applications, 318-335, 2018
62018
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
H Bi, H Ma, Z Huang, Y Yin, Q Liu, E Chen, Y Su, S Wang
2020 IEEE International Conference on Data Mining (ICDM), 42-51, 2020
52020
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