Bocheng Ren

According to our database, Bocheng Ren authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

Zero-Shot Recognition for Healthcare Social Networks via Tensor-Based Vision-Semantic Manifold Alignment.

Bocheng Ren, Yuanyuan Yi, Laurence T. Yang, Xin Nie, Zecan Yang, Jun Feng

IEEE Trans. Comput. Soc. Syst., August, 2025

SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning.

Jun Feng, Yuzhe Lai, Hong Sun, Bocheng Ren

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Tensor Recurrent Neural Network With Differential Privacy.

Jun Feng, Laurence T. Yang, Bocheng Ren, Deqing Zou, Mianxiong Dong, Shunli Zhang

IEEE Trans. Computers, March, 2024

Prototype rectification for zero-shot learning.

Yuanyuan Yi, Guolei Zeng, Bocheng Ren, Laurence T. Yang, Bin Chai, Yuxin Li

Pattern Recognit., 2024

Sparse Bayesian Tensor Completion for Data Recovery in Intelligent IoT Systems.

Honglu Zhao, Laurence T. Yang, Zecan Yang, Debin Liu, Xin Nie, Bocheng Ren

IEEE Internet Things J., 2024

Capturing Detail Variations for Lightweight Neural Radiance Fields.

Zheng Wang, Laurence T. Yang, Bocheng Ren, Jinglin Zhao, Zhe Li, Guolei Zeng

Proceedings of the IEEE International Conference on Acoustics, 2024

MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning.

Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

General Point Model Pretraining with Autoencoding and Autoregressive.

Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks.

Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance.

Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie

IEEE Trans. Netw. Sci. Eng., 2023

Bayesian Tensor Completion for Network Traffic Data Prediction.

Zecan Yang, Laurence T. Yang, Huaimin Wang, Bocheng Ren, Xiangli Yang

IEEE Netw., 2023

Enhancing Sentence Representation with Visually-supervised Multimodal Pre-training.

Zhe Li, Laurence T. Yang, Xin Nie, Bocheng Ren, Xianjun Deng

Proceedings of the 31st ACM International Conference on Multimedia, 2023