Dong Chen

According to our database, Dong Chen authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation.

Dong Chen, Tong Yang, Feipeng Zhai, Pengpeng Ouyang, Qidong Liu, Yafei Li, Chong Fu, Mingliang Xu

CoRR, August, 2025

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting.

Pengpeng Ouyang, Dong Chen, Tong Yang, Shuo Feng, Zhao Jin, Mingliang Xu

CoRR, June, 2025

FADngs: Federated Learning for Anomaly Detection.

Boyu Dong, Dong Chen, Yu Wu, Siliang Tang, Yueting Zhuang

IEEE Trans. Neural Networks Learn. Syst., February, 2025

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models.

Dong Chen, Zhengqing Hu, Peiguang Fan, Yueting Zhuang, Yafei Li, Qidong Liu, Xiaoheng Jiang, Mingliang Xu

CoRR, February, 2025

Improving Vision Anomaly Detection With the Guidance of Language Modality.

Dong Chen, Kaihang Pan, Guangyu Dai, Guoming Wang, Yueting Zhuang, Siliang Tang, Mingliang Xu

IEEE Trans. Multim., 2025

MM-CARP: Multimodal Model with Cross-Modal Retrieval-Augmented and Visual Region Perception.

Junhao Guo, Chenhan Fu, Guoming Wang, Rongxing Lu, Dong Chen, Siliang Tang

Proceedings of the MultiMedia Modeling, 2025

LLAUS: A High-Quality Instruction-Tuned Large Vision Language Assistant for UltraSound.

Junhao Guo, XueFeng Shan, Guoming Wang, Dong Chen, Rongxing Lu, Siliang Tang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection.

Feng Yan, Xiaoheng Jiang, Yang Lu, Jiale Cao, Dong Chen, Mingliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Logic Distillation: Learning from Code Function by Function for Planning and Decision-making.

Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu

CoRR, 2024

Improving Large Models with Small models: Lower Costs and Better Performance.

Dong Chen, Shuo Zhang, Yueting Zhuang, Siliang Tang, Qidong Liu, Hua Wang, Mingliang Xu

CoRR, 2024

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance.

Dong Chen, Yueting Zhuang, Shuo Zhang, Jinfeng Liu, Su Dong, Siliang Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Modal Data Augmentation for Tasks of Different Modalities.

Dong Chen, Yueting Zhuang, Zijin Shen, Carl Yang, Guoming Wang, Siliang Tang, Yi Yang

IEEE Trans. Multim., 2023

Improving Vision Anomaly Detection with the Guidance of Language Modality.

Dong Chen, Kaihang Pan, Guoming Wang, Yueting Zhuang, Siliang Tang

CoRR, 2023

FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy.

Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang, Carl Yang

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

2022

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile.

Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang

Proceedings of the International Conference on Machine Learning, 2022