Wenzheng Feng - RankMe

26 papers A* 10A 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges. CoRR Xu Cheng, Liang Yao, Feng He, Yukuo Cen, Yufei He, Chenhui Zhang, Wenzheng Feng, Hongyun Cai, Jie Tang
2025	A*	`conf`	Learning Evolving Tools for Large Language Models. ICLR Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang
2025	J	`jnl`	Tencent Meeting forensics based on memory reverse analysis. PeerJ Comput. Sci. Shilong Yu, Binglong Li, Lin Zhu, Heyu Zhang, Sen Yang, Zhangxiao Li, Wenzheng Feng
2024	—	`conf`	CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. DASFAA (6) Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang
2024	J	`jnl`	DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. IEEE Trans. Knowl. Data Eng. Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang
2024	J	`jnl`	Learning Evolving Tools for Large Language Models. CoRR Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang
2023	A*	`conf`	ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang
2023	J	`jnl`	Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
2023	—	`conf`	Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
2023	A*	`conf`	WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang
2022	A*	`conf`	GRAND+: Scalable Graph Random Neural Networks. WWW Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
2022	J	`jnl`	GRAND+: Scalable Graph Random Neural Networks. CoRR Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
2022	J	`jnl`	Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
2021	J	`jnl`	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. CoRR Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
2021	A*	`conf`	Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. KDD Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
2021	A	`conf`	MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM 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	A*	`conf`	MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. KDD Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang
2021	J	`jnl`	XiaoMu: an AI-driven assistant for MOOCs. Sci. China Inf. Sci. Zhengyang Song, Jie Tang, Tracy Xiao Liu, Wenjiang Zheng, Lili Wu, Wenzheng Feng, Jing Zhang
2020	A*	`conf`	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020	J	`jnl`	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. CoRR Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020	J	`jnl`	Graph Random Neural Network. CoRR Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang
2020	A*	`conf`	Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang
2020	A*	`conf`	MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. ACL Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang
2019	A*	`conf`	Understanding Dropouts in MOOCs. AAAI Wenzheng Feng, Jie Tang, Tracy Xiao Liu
2018	—	`conf`	Course Concept Extraction in MOOC via Explicit/Implicit Representation. DSC Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong
2017	—	`conf`	Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering. SemEval@ACL Wenzheng Feng, Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou