Hao Quan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Quantile Regression

Prediction Intervals

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Smart Grid

Publications

Tianhang Nan, Yong Ding, Hao Quan, Deliang Li, Mingchen Zou, Xiaoyu Cui
Establishing Truly Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning. CoRR (2024)
Dexu Zou, Xinyu Sun, Hao Quan, Jianhua Yin, Qingjun Peng, Shan Wang, Weiju Dai, Zhihu Hong
Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control. Symmetry 16 (6) (2024)
Hao Quan, Xingyu Li, Weixing Chen, Qun Bai, Mingchen Zou, Ruijie Yang, Tingting Zheng, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui
Global contrast-masked autoencoders are powerful pathological representation learners. Pattern Recognit. 156 (2024)
Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cui
Dual-Channel Prototype Network for Few-Shot Pathology Image Classification. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Tianhang Nan, Hao Quan, Yong Ding, Xingyu Li, Kai Yang, Xiaoyu Cui
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism. CoRR (2024)
Chaoyun Mai, Yibo Wu, Yikui Zhai, Hao Quan, Jianhong Zhou, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Yuanxi Zhao, Zhibin Qiu, Ying Zhang, Hao Quan, Ziheng Wei, Xuan Zhu
Detection of Defects in Wind Turbin Blade Based on Cascaded Adaptive Hybrid Attention Network. IEEE Access 12 (2024)
Hao Quan, Kumar Utkarsh, Dipti Srinivasan
A Distributed Dual-Optimization Framework for Ancillary-Service Coordination Between MV Microgrids and LV Distribution Networks. IEEE Syst. J. 17 (1) (2023)
Junjie Wang, Hao Quan, Chengguang Wang, Genke Yang
Pyramid-based self-supervised learning for histopathological image classification. Comput. Biol. Medicine 165 (2023)
Tingting Zheng, Weixing Chen, Shuqin Li, Hao Quan, Mingchen Zou, Song Zheng, Yue Zhao, Xinghua Gao, Xiaoyu Cui
Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images. Comput. Medical Imaging Graph. 108 (2023)
Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cui
Dual-channel Prototype Network for few-shot Classification of Pathological Images. CoRR (2023)
Ke Wu, Hao Quan, Fanghong Guo
Hierarchical Distributed Coordinated Control of DC Microgrid Cluster with Hybrid Energy Storages. IECON (2023)
Tingting Zheng, Weixing Chen, Shuqin Li, Hao Quan, Qun Bai, Tianhang Nan, Song Zheng, Xinghua Gao, Yue Zhao, Xiaoyu Cui
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images. CoRR (2022)
Hao Quan, Andrea Bonarini
PyHAPT: A Python-based Human Activity Pose Tracking data processing framework. Softw. Impacts 13 (2022)
Hao Quan, Xingyu Li, Weixing Chen, Mingchen Zou, Ruijie Yang, Tingting Zheng, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners. CoRR (2022)
Hao Quan, Andrea Bonarini
HAVPTAT: A Human Activity Video Pose Tracking Annotation Tool. Softw. Impacts 12 (2022)
Xueting He, Hao Quan, Wanlong Lin, Weiliang Deng, Zheyi Tan
AGV Scheduling Optimization for Medical Waste Sorting System. Sci. Program. 2021 (2021)
Hao Quan, Xiaosong Xu, Tingting Zheng, Zhi Li, Mingfang Zhao, Xiaoyu Cui
DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network. Comput. Biol. Medicine 133 (2021)
Xin Zhang, Jiehao Li, Wen Qi, Xuanyi Zhou, Yingbai Hu, Hao Quan, Zhen Wang
A Novel Human-Like Control Framework for Mobile Medical Service Robot. Complex. 2020 (2020)
Hao Quan, Abbas Khosravi, Dazhi Yang, Dipti Srinivasan
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Wenjie Zhang, Hao Quan, Oktoviano Gandhi, Ram Rajagopal, Chin-Woo Tan, Dipti Srinivasan
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections. IEEE Trans. Smart Grid 11 (6) (2020)
Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo
Evolving fuzzy-neural paradigm applied to the recognition and removal of artefactual beats in continuous seismocardiogram recordings. Evol. Syst. 11 (3) (2020)
Wenjie Zhang, Hao Quan, Oktoviano Gandhi, Dipti Srinivasan
Reliable Photovoltaic Generation Forecasting via Quantile Determination. ISGT (2019)
Wenjie Zhang, Hao Quan, Dipti Srinivasan
An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting. IEEE Trans. Smart Grid 10 (4) (2019)
Mario Malcangi, Giovanni Felisati, Alberto M. Saibene, Enrico Alfonsi, Mauro Fresia, Roberto Maffioletti, Hao Quan
Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signals. EANN (2018)
Mario Malcangi, Hao Quan, Philip Grew
Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputing. IJCNN (2017)
Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo
Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings. EANN (2017)
Mario Malcangi, Hao Quan
Bio-inspired Audio-Visual Speech Recognition Towards the Zero Instruction Set Computing. EANN (2016)
Hao Quan, Dipti Srinivasan, Abbas Khosravi
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Hao Quan, Dipti Srinivasan, Abbas Khosravi
Particle swarm optimization for construction of neural network-based prediction intervals. Neurocomputing 127 (2014)
Hao Quan, Dipti Srinivasan, Abbas Khosravi
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 25 (2) (2014)
Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
Construction of neural network-based prediction intervals for short-term electrical load forecasting. CIASG (2013)
Hao Quan, Dipti Srinivasan, Abbas Khosravi
Construction of neural network-based prediction intervals using particle swarm optimization. IJCNN (2012)