Wenzheng Feng

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Tang JieProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Yuxiao DongCS, Tsinghua UniversityVerified email at tsinghua.edu.cn
Evgeny KharlamovBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Tracy Xiao LiuAssociate Professor of Economics, Tsinghua UniversityVerified email at sem.tsinghua.edu.cn
Ming DingTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Qingyang ZhongTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jifan YuTsinghua universityVerified email at mails.tsinghua.edu.cn
Gan LuoTsinghua University -> MeituanVerified email at meituan.com
Juanzi LiTsinghua UniversityVerified email at tsinghua.edu.cn
Tinglin HuangYale UniversityVerified email at yale.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Qingsong LvTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yu Wu (吴俣)Microsoft Research AsiaVerified email at microsoft.com
Zhoujun LiBeihang UniversityVerified email at buaa.edu.cn
Zhengyang SongTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk

Wenzheng Feng

Tsinghua University

Verified email at mails.tsinghua.edu.cn

Data Mining Graph Neural Network


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Graph Random Neural Network for Semi-Supervised Learning on Graphs W Feng, J Zhang, Y Dong, Y Han, H Luan, Q Xu, Q Yang, E Kharlamov, ... Advances in Neural Information Processing Systems 33, 2020	202	2020
Understanding dropouts in MOOCs W Feng, J Tang, TX Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 517-524, 2019	169	2019
Attentional graph convolutional networks for knowledge concept recommendation in moocs in a heterogeneous view J Gong, S Wang, J Wang, W Feng, H Peng, J Tang, PS Yu Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020	82	2020
Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks Q Lv, M Ding, Q Liu, Y Chen, W Feng, S He, C Zhou, J Jiang, Y Dong, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	71	2021
MOOCCube: a large-scale data repository for NLP applications in MOOCs J Yu, G Luo, T Xiao, Q Zhong, Y Wang, W Feng, J Luo, C Wang, L Hou, ... Proceedings of the 58th annual meeting of the association for computational …, 2020	58	2020
Mixgcf: An improved training method for graph neural network-based recommender systems T Huang, Y Dong, M Ding, Z Yang, W Feng, X Wang, J Tang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	51	2021
Beihang-msra at semeval-2017 task 3: A ranking system with neural matching features for community question answering W Feng, Y Wu, W Wu, Z Li, M Zhou Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017	17	2017
GRAND+: Scalable Graph Random Neural Networks W Feng, Y Dong, T Huang, Z Yin, X Cheng, E Kharlamov, J Tang Proceedings of the ACM Web Conference 2022, 3248-3258, 2022	11	2022
MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs J Yu, Y Wang, Q Zhong, G Luo, Y Mao, K Sun, W Feng, W Xu, S Cao, ... Proceedings of the 30th ACM International Conference on Information …, 2021	8	2021
Course concept extraction in MOOC via explicit/implicit representation X Wang, W Feng, J Tang, Q Zhong 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC …, 2018	2	2018
Reinforced moocs concept recommendation in heterogeneous information networks J Gong, Y Wan, Y Liu, X Li, Y Zhao, C Wang, Y Lin, X Fang, W Feng, ... ACM Transactions on the Web, 2022	1	2022
SCR: Training Graph Neural Networks with Consistency Regularization C Zhang, Y He, Y Cen, Z Hou, W Feng, Y Dong, X Cheng, H Cai, F He, ... arXiv e-prints, arXiv: 2112.04319, 2021	1	2021
XiaoMu: an AI-driven assistant for MOOCs Z Song, J Tang, TX Liu, W Zheng, L Wu, W Feng, J Zhang Science China Information Sciences 64 (6), 164101, 2021		2021

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