Jielei Wang

According to our database, Jielei Wang authored at least 27 papers between 2021 and 2026.

Collaborative distances:

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

2026

Monotonic Rank Knowledge Distillation via Kendall Correlation.

Xuewan He, Jielei Wang, Yuchen Su, Dongnan Liu, Junbo Zhao, Guoming Lu

IEEE Trans. Circuits Syst. Video Technol., June, 2026

AnchorDiff: Topology-Aware Masked Diffusion with Confidence-based Rewriting for Radiology Report Generation.

Shiying Yu, Jielei Wang, Guoming Lu

CoRR, May, 2026

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery.

Qianxin Xia, Zhiyong Shu, Wenbo Jiang, Jiawei Du, Jielei Wang, Guoming Lu

CoRR, May, 2026

CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models.

Ji Guo, Xiaolong Qin, Cencen Liu, Jielei Wang, Jierun Chen, Wenbo Jiang

CoRR, May, 2026

Rethinking SAR ATR: A Target-Aware Frequency-Spatial Enhancement Framework with Noise-Resilient Knowledge Guidance.

Yansong Lin, Zihan Cheng, Jielei Wang, Guoming Lua, Zongyong Cui

CoRR, March, 2026

AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution.

Cencen Liu, Dongyang Zhang, Wen Yin, Jielei Wang, Tianyu Li, Ji Guo, Wenbo Jiang, Guoqing Wang, Guoming Lu

CoRR, March, 2026

Dataset Distillation via Relative Distribution Matching and Cognitive Heritage.

Qianxin Xia, Jiawei Du, Yuhan Zhang, Jielei Wang, Guoming Lu

CoRR, February, 2026

CPD: Distilling Semantics in Feature Space via Class-Projection Interaction.

Yingbin Wang, Jielei Wang, Qianxin Xia, Xuewan He, Guoming Lu

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

DTSR: High-Frequency Prior-Based Dynamic Texture Synthesis for Real-World Image Super-Resolution.

Feiyi He, Zihan Cheng, Jielei Wang, Cencen Liu, Guoming Lu

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

PRISM: Precision-Recall Informed Data-Free Knowledge Distillation via Generative Diffusion.

Xuewan He, Jielei Wang, Zihan Cheng, Yuchen Su, Shiyue Huang, Guoming Lu

CoRR, September, 2025

EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics.

Qianxin Xia, Jiawei Du, Guoming Lu, Zhiyong Shu, Jielei Wang

CoRR, September, 2025

Task Prioritization in Multiagent Environments: A Novel Approach Using Nash Q-Learning.

Kexin Li, Yu Hu, Jielei Wang, Lin Li, Shuyuan Zhang, Guangchun Luo

IEEE Trans. Consumer Electron., May, 2025

SRMamba-T: Exploring the hybrid Mamba-Transformer network for Single Image Super-Resolution.

Cencen Liu, Dongyang Zhang, Guoming Lu, Wen Yin, Jielei Wang, Guangchun Luo

Neurocomputing, 2025

A Context-Aware Multimodal Fusion DST Model: Advancing Task-Oriented Dialogue Systems.

Dali Zhao, Zhiyong Shu, Lei Feng, Jielei Wang, Guoming Lu

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

MRKD: Monotonic Relationship-based Knowledge Distillation for SAR Image Recognition.

Jielei Wang, Zihan Cheng, Guoming Lu, Kexin Li, Guangchun Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

DEQuant: Distribution-Enhanced Reconstruction for Post-Training Quantization.

Guoming Lu, Guodong Zou, Dongnan Liu, Heng Yin, Jielei Wang, Guangchun Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

BDCKD: Unlocking the Power of Brownian Distance Covariance in Knowledge Distillation.

Guoming Lu, Heng Yin, Zhiyong Shu, Jielei Wang, Guangchun Luo

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Computation Offloading in Resource-Constrained Multi-Access Edge Computing.

Kexin Li, Xingwei Wang, Qiang He, Jielei Wang, Jie Li, Siyu Zhan, Guoming Lu, Schahram Dustdar

IEEE Trans. Mob. Comput., November, 2024

Cross-Domain Feature Semantic Calibration for Zero-Shot Sketch-Based Image Retrieval.

Xuewan He, Jielei Wang, Qianxin Xia, Guoming Lu, Yuan Tang, Hongxia Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Lightweight Deep Neural Networks for Ship Target Detection in SAR Imagery.

Jielei Wang, Zongyong Cui, Ting Jiang, Changjie Cao, Zongjie Cao

IEEE Trans. Image Process., 2023

2022

Absorption Pruning of Deep Neural Network for Object Detection in Remote Sensing Imagery.

Jielei Wang, Zongyong Cui, Zhipeng Zang, Xiangjie Meng, Zongjie Cao

Remote. Sens., December, 2022

A Demand-Driven SAR Target Sample Generation Method for Imbalanced Data Learning.

Changjie Cao, Zongyong Cui, Liying Wang, Jielei Wang, Zongjie Cao, Jianyu Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Cost-Sensitive Awareness-Based SAR Automatic Target Recognition for Imbalanced Data.

Changjie Cao, Zongyong Cui, Liying Wang, Jielei Wang, Zongjie Cao, Jianyu Yang

IEEE Trans. Geosci. Remote. Sens., 2022

A Knowledge Distillation Method based on IQE Attention Mechanism for Target Recognition in Sar Imagery.

Jielei Wang, Ting Jiang, Zongyong Cui, Zongjie Cao, Changjie Cao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Filter pruning with a feature map entropy importance criterion for convolution neural networks compressing.

Jielei Wang, Ting Jiang, Zongyong Cui, Zongjie Cao

Neurocomputing, 2021

An IQE Criterion-Based Method for SAR Images Classification Network Pruning.

Jielei Wang, Zongyong Cui, Zongjie Cao, Hanzeng Wang, Changjie Cao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Filtering Approach for Generated Samples by GANS in SAR ATR.

Changjie Cao, Zongyong Cui, Zongjie Cao, Liying Wang, Jielei Wang, Jianyu Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021