Bingde Hu

According to our database, Bingde Hu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception.

Jiazhen Yang, Junjun Zheng, Kejia Chen, Xiangheng Kong, Jie Lei, Zunlei Feng, Bingde Hu, Yang Gao

CoRR, April, 2026

SpatCode: Rotary-based Unified Encoding Framework for Efficient Spatiotemporal Vector Retrieval.

Bingde Hu, Enhao Pan, Wanjing Zhou, Yang Gao, Zunlei Feng, Hao Zhong

CoRR, January, 2026

RLV: LLM-based vulnerability detection by retrieving and refining contextual information.

Fangcheng Qiu, Zhongxin Liu, Bingde Hu, Zhengong Cai, Lingfeng Bao, Xinyu Wang

J. Syst. Softw., 2026

Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning.

Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Efficient Distributed Graph Neural Network Training With Source Chunking and Moving Aggregation.

Wenjie Huang, Tongya Zheng, Rui Wang, Tongtian Zhu, Bingde Hu, Shuibing He, Mingli Song, Xinyu Wang, Sai Wu, Chun Chen

IEEE Trans. Knowl. Data Eng., December, 2025

Towards Efficient LLM-aware Heterogeneous Graph Learning.

Wenda Li, Tongya Zheng, Shunyu Liu, Yu Wang, Kai-Xuan Chen, Hanyang Yuan, Bingde Hu, Zujie Ren, Mingli Song, Gang Chen

CoRR, November, 2025

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems.

Heng Tang, Feng Liu, Xinbo Chen, Jiawei Chen, Bo Wang, Changwang Zhang, Jun Wang, Yuegang Sun, Bingde Hu, Can Wang

CoRR, May, 2025

Disentangled Condensation for Large-scale Graphs.

Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng

Proceedings of the ACM on Web Conference 2025, 2025

Dataset Ownership Verification in Contrastive Pre-trained Models.

Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks.

Tian Qiu, Chenchao Gao, Zunlei Feng, Jie Lei, Bingde Hu, Xingen Wang, Yi Gao, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LG-CAV: Train Any Concept Activation Vector with Language Guidance.

Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

HSDN: A High-Order Structural Semantic Disentangled Neural Network.

Bingde Hu, Xingen Wang, Zunlei Feng, Jie Song, Ji Zhao, Mingli Song, Xinyu Wang

IEEE Trans. Knowl. Data Eng., September, 2023

A General Heterogeneous Hypergraph Neural Network for Node Classification.

Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li

Proceedings of the International Joint Conference on Neural Networks, 2023

LoSS: Local Structural Separation Hypergraph Convolutional Neural Network.

Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023