Bingbing Xu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Information Networks

Keyphrase Extraction

Top Venues

Publications

Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR (2024)
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR (2024)
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 (2024)
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)
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) (2024)
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) (2024)
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR (2024)
Yong Wang, Bingbing Xu, Haodong Meng
Enhanced vehicle shimmy performance using inerter-based suppression mechanism. Commun. Nonlinear Sci. Numer. Simul. 130 (2024)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE (2024)
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680 (2024)
Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39 (1) (2024)
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) (2024)
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)
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CIKM (2023)
Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM (2023)
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR (2023)
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
TEA: Test-time Energy Adaptation. CoRR (2023)
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. CoRR (2023)
Bingbing Xu, Bin Xie, Huawei Shen
Towards Deeper Graph Neural Networks via Layer-Adaptive. WWW (Companion Volume) (2023)
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 (2023)
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR (2023)
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CoRR (2023)
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)
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 (2023)
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)
Bingbing Xu, Yang Li, Qi Cao, Huawei Shen
Simple Multi-view Can Bring Powerful Graph Neural Network. WWW (Companion Volume) (2023)
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) (2023)
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. WWW (2023)
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
IDEA: Invariant Causal Defense for Graph Adversarial Robustness. CoRR (2023)
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) (2022)
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR (2022)
Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. CoRR (2022)
Bingbing Xu, Guanglei Meng, Yingnan Wang, Runnan Zhao
Guidance Method for UAV to Occupy Attack Position at Close Range. ICIRA (3) (2022)
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) (2022)
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)
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR (2022)
Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN (2022)
Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen
Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. IPIN (2022)
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 (2022)
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)
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 (2022)
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng
Location-aware convolutional neural networks for graph classification. Neural Networks 155 (2022)
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)
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)
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR (2020)
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 (2020)
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR (2020)
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)
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
Graph Wavelet Neural Network. CoRR (2019)
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
Graph Wavelet Neural Network. ICLR (Poster) (2019)
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI (2019)
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) (2019)
Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng
A Graph Auto-Encoder for Attributed Network Embedding. CoRR (2019)
Yihan Ni, Bingbing Xu, Yue Zhao, Hui Du
Ict_spring Belief and Sentiment System at TAC 2017. TAC (2017)
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) (2015)
Bingbing Xu, Junwei Li, Lixin Gao
Distributed Reduced-Order Observer-Based Consensus Control of Discrete-Time Linear Multi-Agent System. ICONS (2013)