Wenzheng Feng

According to our database, Wenzheng Feng authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction.

Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang

IEEE Trans. Knowl. Data Eng., February, 2024

Learning Evolving Tools for Large Language Models.

Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang

CoRR, 2024

CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations.

Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.

Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang

ACM Trans. Web, August, 2023

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation.

Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks.

Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window.

Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.

Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang

CoRR, 2022

GRAND+: Scalable Graph Random Neural Networks.

Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

XiaoMu: an AI-driven assistant for MOOCs.

Zhengyang Song, Jie Tang, Tracy Xiao Liu, Wenjiang Zheng, Lili Wu, Wenzheng Feng, Jing Zhang

Sci. China Inf. Sci., 2021

Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.

Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems.

Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Graph Random Neural Network.

Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang

CoRR, 2020

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.

Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Graph Random Neural Networks for Semi-Supervised Learning on Graphs.

Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs.

Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Understanding Dropouts in MOOCs.

Wenzheng Feng, Jie Tang, Tracy Xiao Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Course Concept Extraction in MOOC via Explicit/Implicit Representation.

Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017

Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering.

Wenzheng Feng, Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017