Yishu Liu

According to our database, Yishu Liu authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing.

Yishu Liu, Huanjia Zhu, Bingzhi Chen, Xiaozhao Fang, Guangming Lu, Shengli Xie

IEEE Trans. Knowl. Data Eng., December, 2025

Toward Robust Semi-Supervised Distribution Alignment Against Label Distribution Shift With Noisy Annotations.

Bingzhi Chen, Zhanhao Ye, Yishu Liu, Xiaozhao Fang, Guangming Lu, Shengli Xie, Xuelong Li

IEEE Trans. Multim., 2025

Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases.

Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Contrastive Multi-Bit Collaborative Learning for Deep Cross-Modal Hashing.

Qingpeng Wu, Zheng Zhang, Yishu Liu, Jingyi Zhang, Liqiang Nie

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

Deep Fuzzy Multiteacher Distillation Network for Medical Visual Question Answering.

Yishu Liu, Bingzhi Chen, Shuihua Wang, Guangming Lu, Zheng Zhang

IEEE Trans. Fuzzy Syst., October, 2024

Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation.

Bingzhi Chen, Xiaolin Huang, Yishu Liu, Zheng Zhang, Guangming Lu, Zheng Zhou, Jiahui Pan

IEEE Trans. Instrum. Meas., 2024

Combating Visual Question Answering Hallucinations via Robust Multi-Space Co-Debias Learning.

Jiawei Zhu, Yishu Liu, Huanjia Zhu, Hui Lin, Yuncheng Jiang, Zheng Zhang, Bingzhi Chen

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

Prototype-Guided Dual-Transformer Reasoning for Video Individual Counting.

Rui Li, Yishu Liu, Huafeng Li, Jinxing Li, Guangming Lu

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

Stay Focused is All You Need for Adversarial Robustness.

Bingzhi Chen, Ruihan Liu, Yishu Liu, Xiaozhao Fang, Jiahui Pan, Guangming Lu, Zheng Zhang

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

Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning.

Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu

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

Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints.

Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning.

Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang

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

2023

Multi-Granularity Interactive Transformer Hashing for Cross-modal Retrieval.

Yishu Liu, Qingpeng Wu, Zheng Zhang, Jingyi Zhang, Guangming Lu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning.

Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023