Shuang Chen

According to our database, Shuang Chen authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation.

Sike Xiang, Shuang Chen, Kevin Qinghong Lin, Jialin Yu, Yijia Sun, Philip Torr, Amir Atapour-Abarghouei

CoRR, May, 2026

UIESNN: A Scale-Aware Spiking Network for Underwater Image Enhancement.

Shuang Chen, Ruochen Li, Zihan Zhu, Ronald Thenius, Farshad Arvin, Amir Atapour-Abarghouei

CoRR, May, 2026

Flow-OPD: On-Policy Distillation for Flow Matching Models.

Zhen Fang, Wenxuan Huang, Yu Zeng, Yiming Zhao, Shuang Chen, Kaituo Feng, Yunlong Lin, Lin Chen, Zehui Chen, Shaosheng Cao, Feng Zhao

CoRR, May, 2026

Motion-Adaptive Multi-Scale Temporal Modelling with Skeleton-Constrained Spatial Graphs for Efficient 3D Human Pose Estimation.

Ruochen Li, Shuang Chen, Wenke E, Farshad Arvin, Amir Atapour-Abarghouei

CoRR, April, 2026

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models.

Yu Zeng, Wenxuan Huang, Zhen Fang, Shuang Chen, Yufan Shen, Yishuo Cai, Xiaoman Wang, Zhenfei Yin, Lin Chen, Zehui Chen, Shiting Huang, Yiming Zhao, Xu Tang, Yao Hu, Philip Torr, Wanli Ouyang, Shaosheng Cao

CoRR, February, 2026

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models.

Wenxuan Huang, Yu Zeng, Qiuchen Wang, Zhen Fang, Shaosheng Cao, Zheng Chu, Qingyu Yin, Shuang Chen, Zhenfei Yin, Lin Chen, Zehui Chen, Yao Hu, Philip Torr, Feng Zhao, Wanli Ouyang

CoRR, January, 2026

BOOST: Out-of-distribution-informed adaptive sampling for bias mitigation in stylistic convolutional neural networks.

Mridula Vijendran, Shuang Chen, Jingjing Deng, Hubert P. H. Shum

Expert Syst. Appl., 2026

CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow.

Ruisheng Han, Kanglei Zhou, Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Exploring the Potentials of Spiking Neural Networks for Image Deraining.

Shuang Chen, Tomás Krajník, Farshad Arvin, Amir Atapour-Abarghouei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Interleaving Reasoning for Better Text-to-Image Generation.

Wenxuan Huang, Shuang Chen, Zheyong Xie, Shaosheng Cao, Shixiang Tang, Yufan Shen, Qingyu Yin, Wenbo Hu, Xiaoman Wang, Yuntian Tang, Junbo Qiao, Yue Guo, Yao Hu, Zhenfei Yin, Philip Torr, Yu Cheng, Wanli Ouyang, Shaohui Lin

CoRR, September, 2025

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.

Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng

CoRR, June, 2025

Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey.

Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum

Artif. Intell. Rev., February, 2025

SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM.

Shuang Chen, Haozheng Zhang, Amir Atapour-Abarghouei, Hubert P. H. Shum

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

DEEP-SEA: Deep-Learning Enhancement for Environmental Perception in Submerged Aquatics.

Shuang Chen, Ronald Thenius, Farshad Arvin, Amir Atapour-Abarghouei

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots.

Shuang Chen, Yifeng He, Barry Lennox, Farshad Arvin, Amir Atapour-Abarghouei

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion.

Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

HINT: High-Quality INpainting Transformer With Mask-Aware Encoding and Enhanced Attention.

Shuang Chen, Amir Atapour-Abarghouei, Hubert P. H. Shum

IEEE Trans. Multim., 2024

Geometric Features Enhanced Human-Object Interaction Detection.

Manli Zhu, Edmond S. L. Ho, Shuang Chen, Longzhi Yang, Hubert P. H. Shum

IEEE Trans. Instrum. Meas., 2024

One-index vector quantization based adversarial attack on image classification.

Haiju Fan, Xiaona Qin, Shuang Chen, Hubert P. H. Shum, Ming Li

Pattern Recognit. Lett., 2024

Depth-Aware Endoscopic Video Inpainting.

Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, Hubert P. H. Shum

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MxT: Mamba x Transformer for Image Inpainting.

Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum

Proceedings of the 35th British Machine Vision Conference, 2024

2023

INCLG: Inpainting for non-cleft lip generation with a multi-task image processing network.

Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho, Hubert P. H. Shum

Softw. Impacts, September, 2023

2022

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.

Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022