News动态
Selected Publications & Preprints
代表性论文
Deep Regression: From CNNs to VLMs and MLLMs
深度回归：从CNN到VLM与MLLM
Regression and number understanding are fundamental for precise physical perception.
We aim to develop rigorous evaluation frameworks for measuring the quantitative reasoning and numerical understanding capabilities of MLLMs.
回归与数值理解是精确物理感知的基础。
我们致力于构建严谨的评估框架，用于衡量多模态大语言模型的定量推理与数值理解能力。
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Teach CLIP to Develop a Number Sense for Ordinal Regression
Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li†
European Conference on Computer Vision (ECCV), 2024
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Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li†
Neural Information Processing Systems (NeurIPS), 2023
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Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
Yao Du, Shanshan Song, Xiaomeng Li†
Under Review, 2026
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Medical Image Analysis: Echocardiography and Computational Pathology
医学图像分析：超声心动图与计算病理学
Parameter-efficient fine-tuning and multimodal representation learning for medical imaging.
We aim to develop data-efficient and clinically reliable AI systems for analyzing complex medical imaging data.
面向医学影像的参数高效微调与多模态表示学习。
我们致力于构建数据高效、临床可靠的AI系统，用于分析复杂医学影像数据。
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CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
Yao Du, Jiarong Guo, Xiaomeng Li† (early accept)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
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Beyond H&E: Unlocking Pathological Insights with Polarization Imaging
Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, Xiaomeng Li†
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025
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Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Chao He, Lin Luo, Hao Chen
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
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CardioInfuser: Multi-scale Semantic Infusion for Few-shot Echocardiogram Video Assessment
Yao Du, Marawan Elbatel, Jiewen Yang, Xiaomeng Li†
Under Review, 2026
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MUST: MUlti-Style virtual STaining with incomplete pairs
Jiaxin Zhuang, Yao Du, ..., Hao Chen†
Under Review, 2026
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CardiacPULSE: Frequency-Aware Self-Supervised Cardiac Phase Detection in Echocardiography
Jiarong Guo, Jiewen Yang, Yao Du, Yi Qin, Xiaomeng Li†
Under Review, 2026
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SAMotion: A Generalizable Anatomical Structure-aware Unsupervised Framework for Cardiac Motion Tracking
Jiewen Yang, Jiarong Guo, Yao Du, Xiaomeng Li†
Under Review, 2026
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Artificial Intelligence of Things (AIoT) / Structural Health Monitoring (SHM)
人工智能物联网（AIoT）/ 结构健康监测（SHM）
Infrastructure Sensor Anomaly Detection, Edge Computing, and AIoT Systems.
We aim to integrate AI with large-scale infrastructure sensing systems to enable intelligent monitoring and smart city applications.
基础设施传感器异常检测、边缘计算与AIoT系统。
我们致力于将人工智能与大规模基础设施感知系统深度融合，实现智能监测与智慧城市应用。
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Wireless IoT Monitoring System in Hong Kong-Zhuhai-Macao Bridge and Edge Computing for Anomaly Detection
Xiaoyou Wang, Wanglin Wu, Yao Du, Jiannong Cao, Qianyi Chen, Yong Xia†
IEEE Internet of Things Journal, 2023
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Data Anomaly Detection through Semisupervised Learning Aided by Customized Data Augmentation Techniques
Xiaoyou Wang*, Yao Du*, Xiaoqing Zhou, Yong Xia†
Structural Control and Health Monitoring, 2023
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Convolutional Neural Network-based Data Anomaly Detection Considering Class Imbalance with Limited Data
Yao Du, Lingfang Li, Rongrong Hou, Xiaoyou Wang, Wei Tian, Yong Xia†
Smart Structures and Systems, 2022
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Anomaly Detection of Sensor Faults and Extreme Events based on Support Vector Data Description
Yuxuan Zhang, Xiaoyou Wang, Zhenghao Ding, Yao Du, Yong Xia†
Structural Control and Health Monitoring, 2022
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Unsupervised One-class Classification for Condition Assessment of Bridge Cables Using Bayesian Factor Analysis
Xiaoyou Wang, Lingfang Li, Wei Tian, Yao Du, Rongrong Hou, Yong Xia†
Smart Structures and Systems, 2022
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Professional Service
学术服务
Reviewer:审稿人：
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Conference Reviewer: CVPR, ICCV, NeurIPS, ICML, BMVC, MICCAI
会议审稿人：CVPR、ICCV、NeurIPS、ICML、BMVC、MICCAI
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Journal Reviewer: TNNLS
期刊审稿人：TNNLS
Awards:荣誉奖项：
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Outstanding Reviewer, CVPR 2025
CVPR 2025 优秀审稿人
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National Scholarship (Top 1%), Ministry of Education, China — 2016, 2017, 2018
国家奖学金（前1%），中国教育部 — 2016、2017、2018年
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