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2020 – today
- 2024
[j15]Yong Wang, Bingbing Xu, Haodong Meng:
Enhanced vehicle shimmy performance using inerter-based suppression mechanism. Commun. Nonlinear Sci. Numer. Simul. 130: 107800 (2024)- [j14]Shuchang Tao
, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024) - [j13]Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024) - [j12]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024) - [j11]Tianle Li, Bingbing Xu, Weike Lu, Zidan Chen, Sizheng Zhang, Fanjun Xia:
The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5. Sensors 24(15): 5011 (2024) - [j10]Kai Han, Bingbing Xu, Shengjun Guo, Wenbin Gong, Symeon Chatzinotas, Ilora Maity, Quanbing Zhang, Qianyi Ren:
Non-Grid-Mesh Topology Design for MegaLEO Constellations: An Algorithm Based on NSGA-III. IEEE Trans. Commun. 72(5): 2881-2896 (2024) - [c24]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622 - [c23]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911 - [c22]Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng:
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374 - [c21]Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE 2024: 3283-3296 - [c20]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR 2024: 2548-2552 - [i18]Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024) - [i17]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR abs/2405.16224 (2024) - 2023
- [j9]Wei-Wu Jiang, Xiao-Wei Gao, Bingbing Xu, Jun Lv:
Static and forced vibration analysis of layered piezoelectric functionally graded structures based on element differential method. Appl. Math. Comput. 437: 127548 (2023) - [j8]Wenguang Yang, Baitong Ren, Bingbing Xu, Xiaona Pang, Ruitian Liu:
An improved TOPSIS-based rank preservation approach for hesitant fuzzy information processing. J. Intell. Fuzzy Syst. 45(3): 4249-4260 (2023) - [c19]Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CIKM 2023: 99-109 - [c18]Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen:
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM 2023: 4155-4159 - [c17]Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang:
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. ICDE 2023: 517-529 - [c16]Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. KDD 2023: 3309-3320 - [c15]Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen:
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. KDD 2023: 5685-5694 - [c14]Bingbing Xu, Bin Xie, Huawei Shen:
Towards Deeper Graph Neural Networks via Layer-Adaptive. WWW (Companion Volume) 2023: 103-106 - [c13]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. WWW 2023: 274-285 - [c12]Bingbing Xu, Yang Li, Qi Cao, Huawei Shen:
Simple Multi-view Can Bring Powerful Graph Neural Network. WWW (Companion Volume) 2023: 322-325 - [i16]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. CoRR abs/2301.13492 (2023) - [i15]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. CoRR abs/2302.00873 (2023) - [i14]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant Causal Defense for Graph Adversarial Robustness. CoRR abs/2305.15792 (2023) - [i13]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR abs/2305.15835 (2023) - [i12]Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CoRR abs/2308.09499 (2023) - [i11]Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR abs/2308.13244 (2023) - [i10]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-time Energy Adaptation. CoRR abs/2311.14402 (2023) - 2022
- [j7]Bingbing Xu, Xiao-Wei Gao, Miao Cui:
An efficient and accurate hybrid weak-form meshless method for transient nonlinear heterogeneous heat conduction problems. Eng. Comput. 38(2): 969-984 (2022) - [j6]Miao Cui, Chunyun Zhang, Bowen Zhang, Bingbing Xu, Haifeng Peng, Xiao-Wei Gao:
Numerical solution of phase change heat transfer problems by effective heat capacity model and element differential method. J. Comput. Sci. 60: 101593 (2022) - [j5]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng:
Location-aware convolutional neural networks for graph classification. Neural Networks 155: 74-83 (2022) - [j4]Kai Han, Bingbing Xu, Fengwei Shao, Wenbin Gong, Qianyi Ren, Jiachao Chang:
An Adaptive Topology Optimization Strategy for Intersatellite Links in GNSS. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5894-5907 (2022) - [c11]Bingbing Xu, Guanglei Meng, Yingnan Wang, Runnan Zhao:
Guidance Method for UAV to Occupy Attack Position at Close Range. ICIRA (3) 2022: 710-721 - [c10]Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9 - [c9]Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen:
Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. IPIN 2022: 1-8 - [c8]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. KDD 2022: 2712-2720 - [c7]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng:
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG 2022: 17 - [i9]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022) - [i8]Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. CoRR abs/2210.10592 (2022) - [i7]Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen:
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. CoRR abs/2211.09813 (2022) - [i6]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR abs/2211.10929 (2022) - 2021
- [c6]Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng:
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI 2021: 4537-4545 - [c5]Xuan Ma, Zhibao Wang, Lu Bai, Bingbing Xu, Juntao Gao, Bilong Wen, Jinhua Tao:
Implementation of a Federated Large-Scale Remote Sensing Data Sharing Platform. IGARSS 2021: 5771-5774 - 2020
- [j3]Yu Liang, Xiao-Wei Gao, Bingbing Xu, Qianghua Zhu, Ze-Yan Wu:
A new alternating iteration strategy based on the proper orthogonal decomposition for solving large-scaled transient nonlinear heat conduction problems. J. Comput. Sci. 45: 101206 (2020) - [c4]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR 2020: 1897-1900 - [i5]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR abs/2007.13435 (2020) - [i4]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020)
2010 – 2019
- 2019
- [j2]Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen:
User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. Data Intell. 1(2): 137-159 (2019) - [c3]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. ICLR (Poster) 2019 - [c2]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934 - [i3]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. CoRR abs/1904.07785 (2019) - [i2]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019) - 2017
- [i1]Yihan Ni, Bingbing Xu, Yue Zhao, Hui Du:
Ict_spring Belief and Sentiment System at TAC 2017. TAC 2017 - 2015
- [j1]Wenhai Chen, Lixin Gao, Xiaole Xu, Bingbing Xu:
Distributed consensus control for discrete-time linear multi-agent systems with reduced-order observer. Kybernetika 51(4): 639-654 (2015) - 2013
- [c1]Bingbing Xu, Junwei Li, Lixin Gao:
Distributed Reduced-Order Observer-Based Consensus Control of Discrete-Time Linear Multi-Agent System. ICONS 2013: 124-129
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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