Bingxin Niu

According to our database, Bingxin Niu authored at least 22 papers between 2015 and 2023.

Collaborative distances:

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

2023

Graph Neural Networks without Propagation.

Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo

Proceedings of the ACM Web Conference 2023, 2023

Self-supervised Graph Neural Networks via Low-Rank Decomposition.

Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing.

Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Reciprocal Neural Networks by Abstracting Node as Attribute.

Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

Period Extraction for Traffic Flow Prediction.

Qingyuan Wang, Chen Chen, Long Zhang, Xiaoxuan Song, Honggang Li, Qingjie Zhao, Bingxin Niu, Junhua Gu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing.

Zhengchang Song, Rui Cao, Bingxin Niu, Junhua Gu, Chunjie Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information.

Rui Cao, Zhengchang Song, Bingxin Niu, Junhua Gu, Chunjie Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

A Cross-Domain Federated Learning Framework for Wireless Human Sensing.

Kaixuan Zhang, Xiulong Liu, Xin Xie, Jiuwu Zhang, Bingxin Niu, Keqiu Li

IEEE Netw., 2022

JSON-based control model for SQL and NoSQL data conversion in hybrid cloud database.

Lei Zhang, Ke Pang, Jiangtao Xu, Bingxin Niu

J. Cloud Comput., 2022

Graph Neural Networks Beyond Compromise Between Attribute and Topology.

Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He

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

OPEN: Orthogonal Propagation with Ego-Network Modeling.

Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Difference Residual Graph Neural Networks.

Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing.

Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Diverse Message Passing for Attribute with Heterophily.

Liang Yang, Mengzhe Li, Liyang Liu, Bingxin Niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Graph Information Bottleneck.

Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Why Do Attributes Propagate in Graph Convolutional Neural Networks?

Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2017

A CRAHNs routing protocol based on the hops, channel number and channel capacity.

Weilian Xue, Zhibo Yuan, Bingxin Niu

Comput. Syst. Sci. Eng., 2017

Dynamic scheming the duty cycle in the opportunistic routing sensor network.

Bingxin Niu, Heng Qi, Keqiu Li, Xiulong Liu, Weilian Xue

Concurr. Comput. Pract. Exp., 2017

An Advanced Maximum Utility Spectrum Allocation Algorithm Based on Graph Coloring Theory.

Weilian Xue, Xiaoyu Liu, Bingxin Niu

Ad Hoc Sens. Wirel. Networks, 2017

2016

Maximizing the Utility Without the Knowledge of the Link Capacity in a Wireless Sensor Network.

Bingxin Niu, Keqiu Li, Kai Lin, Weilian Xue

Ad Hoc Sens. Wirel. Networks, 2016

2015

D2CS: Dynamic Duty Cycle Scheme in an Opportunistic Routing Sensor Network.

Bingxin Niu, Heng Qi, Keqiu Li, Xiulong Liu, Weilian Xue

Proceedings of the 24th International Conference on Computer Communication and Networks, 2015