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Bingxin Niu
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2020 – today
- 2024
- [j7]Long Zhang, Rui Cao, Wei Lei, Yazhou Wang, Zhenlong Xie, Bingxin Niu:
MAT-IGA: A Deadline and Priority-Aware Task Offloading Method in Resource-Constrained Vehicular Networks. IEEE Access 12: 167413-167425 (2024) - [c19]Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang:
Improving Graph Contrastive Learning via Adaptive Positive Sampling. CVPR 2024: 23179-23187 - [c18]Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo:
GAUSS: GrAph-customized Universal Self-Supervised Learning. WWW 2024: 582-593 - [c17]Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang:
Graph Contrastive Learning Reimagined: Exploring Universality. WWW 2024: 641-651 - 2023
- [c16]Rui Cao, Zhengchang Song, Bingxin Niu, Junhua Gu, Chunjie Li:
Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information. ICA3PP (4) 2023: 102-118 - [c15]Zhengchang Song, Rui Cao, Bingxin Niu, Junhua Gu, Chunjie Li:
A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing. ICA3PP (4) 2023: 148-159 - [c14]Qingyuan Wang, Chen Chen, Long Zhang, Xiaoxuan Song, Honggang Li, Qingjie Zhao, Bingxin Niu, Junhua Gu:
Period Extraction for Traffic Flow Prediction. ICA3PP (3) 2023: 490-501 - [c13]Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Graph Reciprocal Neural Networks by Abstracting Node as Attribute. ICDM 2023: 1463-1468 - [c12]Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang:
Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. ACM Multimedia 2023: 481-489 - [c11]Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. ACM Multimedia 2023: 2955-2963 - [c10]Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang:
Self-supervised Graph Neural Networks via Low-Rank Decomposition. NeurIPS 2023 - [c9]Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo:
Graph Neural Networks without Propagation. WWW 2023: 469-477 - 2022
- [j6]Lei Zhang, Ke Pang, Jiangtao Xu, Bingxin Niu:
JSON-based control model for SQL and NoSQL data conversion in hybrid cloud database. J. Cloud Comput. 11: 23 (2022) - [j5]Kaixuan Zhang, Xiulong Liu, Xin Xie, Jiuwu Zhang, Bingxin Niu, Keqiu Li:
A Cross-Domain Federated Learning Framework for Wireless Human Sensing. IEEE Netw. 36(5): 122-128 (2022) - [c8]Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao:
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. AAAI 2022: 4327-4336 - [c7]Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao:
Difference Residual Graph Neural Networks. ACM Multimedia 2022: 3356-3364 - [c6]Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo:
OPEN: Orthogonal Propagation with Ego-Network Modeling. NeurIPS 2022 - [c5]Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He:
Graph Neural Networks Beyond Compromise Between Attribute and Topology. WWW 2022: 1127-1135 - 2021
- [c4]Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu:
Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021: 4590-4598 - [c3]Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo:
Heterogeneous Graph Information Bottleneck. IJCAI 2021: 1638-1645 - [c2]Liang Yang, Mengzhe Li, Liyang Liu, Bingxin Niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo:
Diverse Message Passing for Attribute with Heterophily. NeurIPS 2021: 4751-4763
2010 – 2019
- 2017
- [j4]Weilian Xue, Xiaoyu Liu, Bingxin Niu:
An Advanced Maximum Utility Spectrum Allocation Algorithm Based on Graph Coloring Theory. Ad Hoc Sens. Wirel. Networks 36(1-4): 69-86 (2017) - [j3]Bingxin Niu, Heng Qi, Keqiu Li, Xiulong Liu, Weilian Xue:
Dynamic scheming the duty cycle in the opportunistic routing sensor network. Concurr. Comput. Pract. Exp. 29(17) (2017) - [j2]Weilian Xue, Zhibo Yuan, Bingxin Niu:
A CRAHNs routing protocol based on the hops, channel number and channel capacity. Comput. Syst. Sci. Eng. 32(6) (2017) - 2016
- [j1]Bingxin Niu, Keqiu Li, Kai Lin, Weilian Xue:
Maximizing the Utility Without the Knowledge of the Link Capacity in a Wireless Sensor Network. Ad Hoc Sens. Wirel. Networks 30(3-4): 287-300 (2016) - 2015
- [c1]Bingxin Niu, Heng Qi, Keqiu Li, Xiulong Liu, Weilian Xue:
D2CS: Dynamic Duty Cycle Scheme in an Opportunistic Routing Sensor Network. ICCCN 2015: 1-8
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last updated on 2024-12-26 01:54 CET by the dblp team
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