Yishu Liu

According to our database, Yishu Liu authored at least 38 papers between 2020 and 2026.

Collaborative distances:

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

2026

DS²VP: Dynamically-Selected Spatially Visual Prompting.

Yishu Liu, Jiale Liu, Bingzhi Chen, Guangming Lu

IEEE Trans. Circuits Syst. Video Technol., March, 2026

InfoARD: Enhancing Adversarial Robustness Distillation With Attack-Strength Adaptation and Mutual-Information Maximization.

Ruihan Liu, Jieyi Cai, Yishu Liu, Sudong Cai, Bingzhi Chen, Yulan Guo, Mohammed Bennamoun

IEEE Trans. Image Process., 2026

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling.

Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Self-Supervised Medical Adversarial Robustness With Two-Stage Contrastive Constraints.

Yishu Liu, Shuobin Lin, Bingzhi Chen, Zheng Zhang, Guangming Lu

IEEE Trans. Emerg. Top. Comput. Intell., 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

Language-Bias-Resilient Visual Question Answering via Adaptive Multi-Margin Collaborative Debiasing.

Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen

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

SG-FSL: Cross-Domain Few-Shot Learning with Style-Decoupled Augmentation and Gradient-Conflict Adjustment.

Yunyu Zou, Yishu Liu, Jun Liang, Bingzhi Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PET-GPRA: Rethinking PET with Gradient-Aware Prompting and Router-Free Adapters for Few-shot Class-Incremental Learning.

Yishu Liu, Zhiming Chen, Desen Wang, Xiaoling Luo, Bingzhi Chen, Guangming Lu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CauRDG: Enhancing Domain Generalization with Causal-Driven Semantic Consistency Reasoning.

Zongxin Liu, Yishu Liu, Guangming Lu, Xiaoling Luo, Bingzhi Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Med-BiasX: Robust Medical Visual Question Answering with Language Biases.

Huanjia Zhu, Yishu Liu, Chengju Zhou, Guangming Lu, Bingzhi Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 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

Enhancing Few-Shot Class-Incremental Learning via Cross-Modal Bias Alignment.

Desen Wang, Zhiming Chen, Xiang Qiu, Yishu Liu, Bingzhi Chen

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

Task-Aware Knowledge Prompt and Distillation for Cross-Domain Few-Shot Learning.

Jun Liang, Yunyu Zou, Yang Peng, Yalong Cheng, Rui Luo, Yishu Liu, Bingzhi Chen

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

Revisiting DETR for Small Object Detection via Noise-Resilient Query Optimization.

Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Wenxiu Cai, Yishu Liu, Bingzhi Chen

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

OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining.

Bingzhi Chen, Sisi Fu, Xiaocheng Fang, Jieyi Cai, Boya Zhang, Minhua Lu, Yishu Liu

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

Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization.

Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen

Proceedings of the Thirty-Ninth AAAI 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

TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation.

Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, Adams Wai-Kin Kong

IEEE Trans. Emerg. Top. Comput. Intell., February, 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 Cross-Modal Retrieval via Visual-Textual Prompt Hashing.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints.

Jiawei Zhu, Meirong Ding, Yishu Liu, Biqing Zeng, Guangming Lu, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Rethinking Adversarial Robustness Distillation VIA Strength-Dependent Adaptive Regularization.

Bingzhi Chen, Shuobin Lin, Yishu Liu, Zheng Zhang, Guangming Lu, Lewei He

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

Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation.

Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding

Proceedings of the IEEE International Conference on Acoustics, 2024

Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification.

Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang

Proceedings of the IEEE International Conference on Acoustics, 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

Self-paced Multi-view Learning for CT-based severity assessment of COVID-19.

Yishu Liu, Bingzhi Chen, Zheng Zhang, Hongbing Yu, Shouhang Ru, Xiaosheng Chen, Guangming Lu

Biomed. Signal Process. Control., May, 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

2021

Deep Active Context Estimation for Automated COVID-19 Diagnosis.

Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Zhao Zhang, Guangming Lu, Hongbing Yu

ACM Trans. Multim. Comput. Commun. Appl., 2021

TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation.

Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, David Zhang

CoRR, 2021

2020

A New Technique for Diagnosis of Dental Caries on the Children's First Permanent Molar.

Hongbing Yu, Zebin Lin, Yishu Liu, Jing Su, Bingzhi Chen, Guangming Lu

IEEE Access, 2020