QZ
Qian Zhang
Jiangsu Open University, University of Shanghai for Science and Technology
Research areas: Computer Science · Artificial Intelligence · Advanced Neural Network Applications · Machine Learning and Data Classification · Domain Adaptation and Few-Shot Learning
0000-0003-1749-8653
About
Qian Zhang is an Associate Professor in the School of Information Technology at Jiangsu Open University.His main research areas consist of computer vision, noisy label learning and weakly supervised learning, AI4S etc.
Employment
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Jiangsu open university Assoc. Prof.
Education
- 2016 - 2021
Projects & Funding
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National Natural Science Foundation of China National Natural Science Foundation of China
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Vocational College of Jiangsu Province Student Innovation and Entrepreneurship Incubation Program Vocational College of Jiangsu Province Student Innovation and Entrepreneurship Incubation Program
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Anhui Research Center of Generic Technology in Photovoltaic Industry Open Project Anhui Research Center of Generic Technology in Photovoltaic Industry
Publications (38)
- Conditional and Marginal Run-Length Quantiles of Gamma CUSUM Charts with an Estimated Scale: Tail Integrability and One-Point MRL Protection Save
- CLIP-Guided Adaptive Sample Selection with Machine Unlearning and Negative Learning Strategies for Noisy Labels Learning Save
- Decoding depression: A hybrid GRU–Mamba architecture with multi-dimensional interpretability framework for facial dynamics analysis Save
- A Dual-Path Attention and Multi-Scale Fusion Network for Crop Disease and Pest Identification Save
- CANNE: CLIP-Based ANNE Selection for Noisy-Label Learning Save
- Ultrasound Domain Adaptation for Robust Kidney Segmentation via Spectral-Similarity-Guided Translation Save
- MDSC: Unsupervised Multipath Decomposition and Synergistic Correction for Efficient Low‐Light Image Enhancement with Detail‐Aware Smoothing Save
- Direction-Aware convolution for airway tubular feature enhancement network Save
- Mathematical and Algorithmic Advances in Machine Learning for Statistical Process Control: A Systematic Review Save
- Enhancing feature discrimination with pseudo-labels for foundation model in segmentation of 3D medical images Save
- Fine-grained preference optimization with differentiated token weighting for LLM-based recommendations Save
- UCRT: a two-stage noisy label learning framework with uniform consistency selection and robust training Save
- A Multi-Modal Attention Fusion Framework for Road Connectivity Enhancement in Remote Sensing Imagery Save
- Enhancing intrusion detection performance using GCN-LOF: A hybrid graph-based anomaly detection approach Save
- Predictive modeling and multi-objective optimization of magnetic core loss with activation function flexibly selected Kolmogorov-Arnold networks Save
- ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution Save
- DSS-MobileNetV3: An Efficient Dynamic-State-Space- Enhanced Network for Concrete Crack Segmentation Save
- PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels Save
- Robust Learning of Noisy Labels Based on Semi-Supervised Techniques Save
- Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction Save