Wenzheng Feng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Learning Evolving Tools for Large Language Models. | Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang |
| 2024 | DASFAA | CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. | Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang |
| 2023 | KDD | 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 |
| 2023 | WWW | ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. | Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang |
| 2022 | WWW | GRAND+: Scalable Graph Random Neural Networks. | Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang |
| 2021 | CIKM | 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 |
| 2021 | KDD | 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 |
| 2021 | KDD | 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 |
| 2020 | ACL | 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 |
| 2020 | SIGIR | 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 |
| 2019 | AAAI | Understanding Dropouts in MOOCs. | Wenzheng Feng, Jie Tang, Tracy Xiao Liu |