Zhida Feng

According to our database, Zhida Feng authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Extending Pretrained Diffusion Models for Medical Image-Label Generation.

Yuenan Sun, Li Chen, Zhida Feng

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Fine-tuned Multimodal Large Language Models are Zero-shot Learners in Image Quality Assessment.

Rui Xiong, Li Chen, Zhida Feng, Jiaxiang Liu, Shikun Feng

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

Simplifying Control Mechanism in Text-to-Image Diffusion Models.

Zhida Feng, Li Chen, Yuenan Sun, Jiaxiang Liu, Shikun Feng

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

2024

Cross-Modal Ship Grounding: Towards Large Model for Enhanced Few-Shot Learning.

Quan Hu, Li Chen, Zhida Feng, Yaojie Chen

Proceedings of the Pattern Recognition - 27th International Conference, 2024

DD-Net: Dynamic Network Architecture for Optimized Curve Segmentation and Reduce Computational Redundancy.

Yunxiang Cao, Li Chen, Yubo Wang, Zhida Feng, Jing Tian

Proceedings of the Pattern Recognition - 27th International Conference, 2024

B-Walk: Bernoulli Principle Guided Biased Random Walk for Curve Connection.

Zhuang Sun, Li Chen, Zhida Feng, Xiaoming Liu

Proceedings of the IEEE International Conference on Image Processing, 2024

Unleashing Fine-Coarse Curve Perception Via Trunk-Branch Perturbation.

Yunxiang Cao, Li Chen, Yubo Wang, Zhida Feng, Xiaoming Liu

Proceedings of the IEEE International Conference on Image Processing, 2024

Named Entity Driven Zero-Shot Image Manipulation.

Zhida Feng, Li Chen, Jing Tian, Jiaxiang Liu, Shikun Feng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Joint Skeleton and Boundary Features Networks for Curvilinear Structure Segmentation.

Yubo Wang, Li Chen, Zhida Feng, Yunxiang Cao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts.

Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts.

Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2022

ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention.

Yang Liu, Jiaxiang Liu, Li Chen, Yuxiang Lu, Shikun Feng, Zhida Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2022

2021

Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification.

Zhida Feng, Jiji Tang, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Dropping Fake Favorable Feedback for Better Sentiment Analysis.

Qiankun Su, Zhida Feng, Wujin Sun, Lizhen Chen

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021