Wenzheng Feng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Adaptive Learning

Top Venues

Publications

Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW (2023)
Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD (2023)
Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) (2023)
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web 17 (3) (2023)
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
GRAND+: Scalable Graph Random Neural Networks. WWW (2022)
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
GRAND+: Scalable Graph Random Neural Networks. CoRR (2022)
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR (2022)
Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. KDD (2021)
Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. KDD (2021)
Zhengyang Song, Jie Tang, Tracy Xiao Liu, Wenjiang Zheng, Lili Wu, Wenzheng Feng, Jing Zhang
XiaoMu: an AI-driven assistant for MOOCs. Sci. China Inf. Sci. 64 (6) (2021)
Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM (2021)
Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. CoRR (2021)
Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang
Graph Random Neural Network. CoRR (2020)
Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR (2020)
Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang
Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS (2020)
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. CoRR (2020)
Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. ACL (2020)
Wenzheng Feng, Jie Tang, Tracy Xiao Liu
Understanding Dropouts in MOOCs. AAAI (2019)
Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong
Course Concept Extraction in MOOC via Explicit/Implicit Representation. DSC (2018)
Wenzheng Feng, Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering. SemEval@ACL (2017)