Yake Wei

According to our database, Yake Wei authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

MIBench: Evaluating LMMs on Multimodal Interaction.

Yu Miao, Zequn Yang, Yake Wei, Ziheng Chen, Haotian Ni, Haodong Duan, Kai Chen, Di Hu

CoRR, March, 2026

Multimodal fusion on low-quality data: A comprehensive survey.

Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Cheng Deng, Cai Xu, Jie Wen, Di Hu, Changqing Zhang

Inf. Fusion, 2026

2025

On-the-Fly Modulation for Balanced Multimodal Learning.

Yake Wei, Di Hu, Henghui Du, Ji-Rong Wen

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

MokA: Multimodal Low-Rank Adaptation for MLLMs.

Yake Wei, Yu Miao, Dongzhan Zhou, Di Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer.

Haotian Ni, Yake Wei, Hang Liu, Gong Chen, Chong Peng, Hao Lin, Di Hu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception.

Ruotian Peng, Haiying He, Yake Wei, Yandong Wen, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition.

Chengxiang Huang, Yake Wei, Zequn Yang, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Geometric-inspired graph-based Incomplete Multi-view Clustering.

Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu

Pattern Recognit., March, 2024

Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning.

Meng Shen, Yake Wei, Jianxiong (Terry) Yin, Deepu Rajan, Di Hu, Simon See

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance.

Yake Wei, Di Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Quantifying and Enhancing Multi-modal Robustness with Modality Preference.

Zequn Yang, Yake Wei, Ce Liang, Di Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diagnosing and Re-learning for Balanced Multimodal Learning.

Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Multimodal Cooperation via Sample-Level Modality Valuation.

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

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

2023

Enhancing Multi-modal Cooperation via Fine-grained Modality Valuation.

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

CoRR, 2023

2022

Class-Aware Sounding Objects Localization via Audiovisual Correspondence.

Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning in Audio-visual Context: A Review, Analysis, and New Perspective.

Yake Wei, Di Hu, Yapeng Tian, Xuelong Li

CoRR, 2022

Balanced Multimodal Learning via On-the-fly Gradient Modulation.

Xiaokang Peng, Yake Wei, Andong Deng, Dong Wang, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Answer Questions in Dynamic Audio-Visual Scenarios.

Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model.

Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou, Qin Wu

BMC Medical Informatics Decis. Mak., 2020