Jingwen Deng

According to our database, Jingwen Deng authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Contrastive learning with auxiliary model.

Linyi Xu, Patrick P. K. Chan, Jingwen Deng, Xuanming Liang, Daniel S. Yeung

Pattern Recognit., 2026

2025

Segment Anything for Breast Cancer Ultrasound Image.

Jin Huang, Yimin Zhang, Yujie Xie, Jingwen Deng, Du Wang, Liye Mei, Cheng Lei

Signal Image Video Process., December, 2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

FlipVQA-Miner: Cross-Page Visual Question-Answer Mining from Textbooks.

Zhen Hao Wong, Jingwen Deng, Hao Liang, Runming He, Chengyu Shen, Wentao Zhang

CoRR, November, 2025

EMGANet: Edge-Aware Multi-Scale Group-Mix Attention Network for Breast Cancer Ultrasound Image Segmentation.

Jin Huang, Yazhao Mao, Jingwen Deng, Zhaoyi Ye, Yimin Zhang, Jingwen Zhang, Lan Dong, Hui Shen, Jinxuan Hou, Yu Xu, Xiaoxiao Li, Sheng Liu, Du Wang, Shengrong Sun, Liye Mei, Cheng Lei

IEEE J. Biomed. Health Informatics, August, 2025

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning.

Zhen Hao Wong, Jingwen Deng, Runming He, Zirong Chen, Qijie You, Hejun Dong, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang

CoRR, June, 2025

Open-World Skill Discovery from Unsegmented Demonstrations.

Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

CoRR, March, 2025

Real-world nighttime image dehazing using contrastive and adversarial learning.

Jingwen Deng, Patrick P. K. Chan, Daniel S. Yeung

Pattern Recognit., 2025

DFLNet: Disentangled feature learning network for breast cancer ultrasound image segmentation.

Zhaoyi Ye, Jin Huang, Yimin Zhang, Jingwen Deng, Jingwen Zhang, Sheng Liu, Du Wang, Liye Mei, Cheng Lei

Digit. Signal Process., 2025

Open-World Skill Discovery from Unsegmented Demonstration Videos.

Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

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

2024

Evasion on general GAN-generated image detection by disentangled representation.

Patrick P. K. Chan, Chuanxin Zhang, Haitao Chen, Jingwen Deng, Xiao Meng, Daniel S. Yeung

Inf. Sci., 2024

Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer.

Jiajia Liang, Bowen Zhang, Jingwen Deng, Patrick P. K. Chan

Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

2023

Multi-proxy based deep metric learning.

Patrick P. K. Chan, Shute Li, Jingwen Deng, Daniel S. Yeung

Inf. Sci., 2023

Design and Implementation of SSSP Accelerator based-on Reconfigurable and Programmable Computing Array.

Junyong Deng, Jingwen Deng, Xiaoyan Xie, Pan Zhang, Junjie Wang, Kai Zhou

Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

2021

Extraction of gene-disease association from literature using BioBERT.

Chuan Deng, Jiahui Zou, Jingwen Deng, Mingze Bai

Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021