Baoyi An

According to our database, Baoyi An authored at least 25 papers between 2021 and 2026.

Collaborative distances:

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

2026

Resource-Aware Distributed Training Job Placement for GPU Cluster Defragmentation.

Gongming Zhao, Yichen Dong, Hongli Xu, Jin Fang, Zhen Yao, Baoyi An, Gangyi Luo, Chu Xu

IEEE Trans. Netw., 2026

Universal image restoration via task-adaptive diffusion degradation oriented model.

Junxi Wu, Sicheng Pan, Naiqi Li, Bin Chen, Baoyi An, Zhi Wang, Yaowei Wang, Shu-Tao Xia

Pattern Recognit., 2026

Perceptual image compression with textual side information.

Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia

Pattern Recognit., 2026

2025

MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network.

Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

High Quality Underwater Image Compression with Adaptive Correction and Codebook-based Augmentation.

Yi-Min Zhou, Yichong Xia, Sicheng Pan, Bin Chen, Baoyi An, Haoqian Wang, Zhi Wang, Yaowei Wang, Zikun Zhou

CoRR, May, 2025

Towards Facial Image Compression with Consistency Preserving Diffusion Prior.

Yimin Zhou, Yichong Xia, Bin Chen, Baoyi An, Haoqian Wang, Zhi Wang, Yaowei Wang, Zikun Zhou

CoRR, May, 2025

An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding.

Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia, Zhi Wang

IEEE Trans. Multim., 2025

EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow.

Zeyi Lu, Xiaoxiao Ma, Yujun Huang, Minxiao Chen, Bin Chen, Baoyi An, Shu-Tao Xia

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors.

Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia

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

DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement.

Yichong Xia, Yimin Zhou, Jinpeng Wang, Baoyi An, Haoqian Wang, Yaowei Wang, Bin Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression.

Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shu-Tao Xia, Yaowei Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec.

Jiahong Chen, Xiang Liu, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

EdgeCross: Cloud Scale Traffic Management at Peering Edges.

Xiaoliang Wang, Penghui Mi, Yong Zhu, Baoyi An, Yinhua Wang, Lixiang Wang, Xuezhi Yu, Qiong Xie, Xiang Huang, Mingliang Yin, Chaoyang Ji, Wei Sun, Yihang Lv, Yuhang Chen, Cam-Tu Nguyen, Chen Tian, Xiaoming Fu

PACMNET, 2024

CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems.

Bin Chen, Dong Tang, Yujun Huang, Baoyi An, Yaowei Wang, Xuan Wang

IEEE Internet Things J., 2024

3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors.

Yujun Huang, Bin Chen, Niu Lian, Baoyi An, Shu-Tao Xia

CoRR, 2024

MambaVC: Learned Visual Compression with Selective State Spaces.

Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang

CoRR, 2024

Fast Implicit Neural Representation Image Codec in Resource-limited Devices.

Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia

CoRR, 2024

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.

Shiyu Qin, Yi-Min Zhou, Jin-Peng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Secure Crowdsensed Data Trading Based on Blockchain.

Baoyi An, Mingjun Xiao, An Liu, Yun Xu, Xiangliang Zhang, Qing Li

IEEE Trans. Mob. Comput., March, 2023

Perceptual Image Compression with Cooperative Cross-Modal Side Information.

Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia

CoRR, 2023

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.

Shiyu Qin, Yi-Min Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia

CoRR, 2023

2022

CMAB-Based Reverse Auction for Unknown Worker Recruitment in Mobile Crowdsensing.

Mingjun Xiao, Baoyi An, Jing Wang, Guoju Gao, Sheng Zhang, Jie Wu

IEEE Trans. Mob. Comput., 2022

2021

FedDCS: Federated Learning Framework based on Dynamic Client Selection.

Shutong Zou, Mingjun Xiao, Yin Xu, Baoyi An, Jun Zheng

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Blockchain-Based Double Auction for Edge Cloud Resource Trading with Differential Privacy.

Jie Huang, Yin Xu, Baoyi An, Mingjun Xiao

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Crowdsensing Data Trading based on Combinatorial Multi-Armed Bandit and Stackelberg Game.

Baoyi An, Mingjun Xiao, An Liu, Xike Xie, Xiaofang Zhou

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021