Xiaotian Cheng

According to our database, Xiaotian Cheng authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

DMNet: detail modulation network with gradient-texture guidance for lightweight image super-resolution.

Jingjing Liu, Qi Zhang, Qing Wan, Xiaotian Cheng, Sheng Geng, Weiping Ding

J. King Saud Univ. Comput. Inf. Sci., 2026

2025

FCAformer: Fuzzy-Enhanced Class-Aware Attention Based Transformer for Weakly Supervised Histopathology Image Segmentation.

Xiaotian Cheng, Weiping Ding, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Jing Guo, Witold Pedrycz

IEEE Trans. Fuzzy Syst., September, 2025

We Need Knowledge Distillation for Solving Math Word Problems.

Zhenquan Shen, Xinguo Yu, Xiaotian Cheng, Rao Peng, Hao Ming

CoRR, July, 2025

FDGC: Fuzzy deep clustering with dual-granularity contrastive learning.

Hengrong Ju, Jing Guo, Weiping Ding, Witold Pedrycz, Xiaotian Cheng, Xibei Yang

Knowl. Based Syst., 2025

A Compact Model for Mathematics Problem Representations Distilled from BERT.

Hao Ming, Xinguo Yu, Xiaotian Cheng, Zhenquan Shen, Xiaopan Lyu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy.

Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, Hengrong Ju

IEEE Trans. Knowl. Data Eng., December, 2024

Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace.

Shian Du, Xiaotian Cheng, Qi Qian, Henglu Wei, Yi Xu, Xiangyang Ji

CoRR, 2024

2022

Distilling Representations from GAN Generator via Squeeze and Span.

Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Annotate Part Segmentation with Gradient Matching.

Yu Yang, Xiaotian Cheng, Hakan Bilen, Xiangyang Ji

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery.

Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung

Proceedings of the AMIA 2020, 2020