Bowen Deng

According to our database, Bowen Deng authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis.

Qiaohong Zhang, Weihao Ye, Jialong Chen, Yi Luo, BoYuan Li, Bowen Deng, Zibin Zheng, Jianhao Lin, Wei-Shi Zheng, Chuan Chen

CoRR, May, 2026

FedG2: Cross-domain federated graph learning via dual graph matching.

Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

Pattern Recognit., 2026

2025

Mutual GNN-MLP distillation for robust graph adversarial defense.

Bowen Deng, Jialong Chen, Yanming Hu, Chuan Chen, Tao Zhang

Neural Networks, 2025

Unsupervised Federated Graph Learning.

Lele Fu, Tianchi Liao, Sheng Huang, Bowen Deng, Chuanfu Zhang, Shirui Pan, Chuan Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GLNCD: Graph-Level Novel Category Discovery.

Bowen Deng, Lele Fu, Sheng Huang, Tianchi Liao, Jialong Chen, Tao Zhang, Chuan Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Self-Assembling Graph Perceptrons.

Jialong Chen, Tong Wang, Bowen Deng, Luonan Chen, Zibin Zheng, Chuan Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Federated Domain Generalization with Decision Insight Matrix.

Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data.

Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering.

Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective.

Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Understanding Parametric Generalized Category Discovery on Graphs.

Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective.

Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings.

Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph.

Yanming Hu, Chuan Chen, Bowen Deng, Yujing Lai, Hao Lin, Zibin Zheng, Jing Bian

Data Sci. Eng., September, 2024

PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks.

Bowen Deng, Jialong Chen, Yanming Hu, Zhiyong Xu, Chuan Chen, Tao Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2021

Dynamic Graph Convolutional Network: A Topology Optimization Perspective.

Bowen Deng, Aimin Jiang

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2018

ADMM-Based TDOA Estimation.

Yanping Zhu, Bowen Deng, Aimin Jiang, Xiaofeng Liu, Yibin Tang, Xiao Yao

IEEE Commun. Lett., 2018