Yi Zhang

According to our database, Yi Zhang authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

TLoRA: Task-aware Low Rank Adaptation of Large Language Models.

Weicheng Lin, Yi Zhang, Jiawei Dang, Liang-Jie Zhang

CoRR, April, 2026

Gaussian Shannon: High-Precision Diffusion Model Watermarking Based on Communication.

Yi Zhang, Hongbo Huang, Liang-Jie Zhang

CoRR, March, 2026

Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models.

Yi Zhang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Zhihai He, Liang-Jie Zhang

CoRR, January, 2026

Feature Projection Learning for Better Vision-Language Reasoning.

Yi Zhang, Weicheng Lin, Liang-Jie Zhang

CoRR, January, 2026

Mamba neural operator: Who wins? transformers vs. state-space models for PDEs.

Chun-Wun Cheng, Jiahao Huang, Yi Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

J. Comput. Phys., 2026

2025

Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning.

Yi Zhang, Chun-Wun Cheng, Junyi He, Ke Yu, Yushun Tang, Carola-Bibiane Schönlieb, Zhihai He, Angelica I. Avilés-Rivero

CoRR, December, 2025

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations.

Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero

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

2024

Cross-Modal Concept Learning and Inference for Vision-Language Models.

Yi Zhang, Ce Zhang, Yushun Tang, Zhihai He

Neurocomputing, 2024

NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning.

Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2024

Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation.

Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He

CoRR, 2024

Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation.

Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models.

Yi Zhang, Ke Yu, Angelica I. Avilés-Rivero, Jiyuan Jia, Yushun Tang, Zhihai He

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Domain-Conditioned Transformer for Fully Test-time Adaptation.

Yushun Tang, Shuoshuo Chen, Jiyuan Jia, Yi Zhang, Zhihai He

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Test-Time Distribution Learning Adapter for Cross-Modal Visual Reasoning.

Yi Zhang, Ce Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

Conceptual Codebook Learning for Vision-Language Models.

Yi Zhang, Ke Yu, Siqi Wu, Zhihai He

Proceedings of the Computer Vision - ECCV 2024, 2024

Concept-Guided Prompt Learning for Generalization in Vision-Language Models.

Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised Prototype Adapter for Vision-Language Models.

Yi Zhang, Ce Zhang, Xueting Hu, Zhihai He

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning.

Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He

Proceedings of the 34th British Machine Vision Conference 2023, 2023