Runze Wu
Runze Wu
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Fuzzy cognitive diagnosis for modelling examinee performance
Q Liu, R Wu, E Chen, G Xu, Y Su, Z Chen, G Hu
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (4), 1-26, 2018
Cognitive modelling for predicting examinee performance
R Wu, Q Liu, Y Liu, E Chen, Y Su, Z Chen, G Hu
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
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
Omni-frequency channel-selection representations for unsupervised anomaly detection
Y Liang, J Zhang, S Zhao, R Wu, Y Liu, S Pan
IEEE Transactions on Image Processing, 2023
Personalized bundle recommendation in online games
Q Deng, K Wang, M Zhao, Z Zou, R Wu, J Tao, C Fan, L Chen
Proceedings of the 29th ACM International Conference on Information …, 2020
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
MLP4Rec: A pure MLP architecture for sequential recommendations
M Li, X Zhao, C Lyu, M Zhao, R Wu, R Guo
arXiv preprint arXiv:2204.11510, 2022
Cognitive diagnosis based personalized question recommendation
TY Zhu, Z Huang, E Chen, Q Liu, R Wu, L Wu, G Hu
Chinese Journal of Computers 40 (1), 176-191, 2017
Learning decomposed representations for treatment effect estimation
A Wu, J Yuan, K Kuang, B Li, R Wu, Q Zhu, Y Zhuang, F Wu
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4989-5001, 2022
Collaborative learning team formation: a cognitive modeling perspective
Y Liu, Q Liu, R Wu, E Chen, Y Su, Z Chen, G Hu
Database Systems for Advanced Applications: 21st International Conference …, 2016
Auto iv: Counterfactual prediction via automatic instrumental variable decomposition
J Yuan, A Wu, K Kuang, B Li, R Wu, F Wu, L Lin
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-20, 2022
Knowledge or gaming? Cognitive modelling based on multiple-attempt response
R Wu, G Xu, E Chen, Q Liu, W Ng
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
Investigating accuracy-novelty performance for graph-based collaborative filtering
M Zhao, L Wu, Y Liang, L Chen, J Zhang, Q Deng, K Wang, X Shen, T Lv, ...
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
Mvan: Multi-view attention networks for real money trading detection in online games
J Tao, J Lin, S Zhang, S Zhao, R Wu, C Fan, P Cui
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Promix: Combating label noise via maximizing clean sample utility
H Wang, R Xiao, Y Dong, L Feng, J Zhao
arXiv preprint arXiv:2207.10276, 2022
Optmatch: Optimized matchmaking via modeling the high-order interactions on the arena
L Gong, X Feng, D Ye, H Li, R Wu, J Tao, C Fan, P Cui
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
K Wang, Z Zou, Q Deng, R Wu*, J Tao, C Fan, L Chen, P Cui
Proceedings of the AAAI Conference on Artificial Intelligence 35, 4427-4435, 2021
Bilateral filtering graph convolutional network for multi-relational social recommendation in the power-law networks
M Zhao, Q Deng, K Wang, R Wu, J Tao, C Fan, L Chen, P Cui
ACM Transactions on Information Systems (TOIS) 40 (2), 1-24, 2021
Rl4rs: A real-world benchmark for reinforcement learning based recommender system
K Wang, Z Zou, Q Deng, Y Shang, M Zhao, R Wu, X Shen, T Lyu, C Fan
arXiv preprint arXiv:2110.11073, 2021
Prior aided streaming network for multi-task affective analysis
W Zhang, Z Guo, K Chen, L Li, Z Zhang, Y Ding, R Wu, T Lv, C Fan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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