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Hao Quan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j20]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: 99349-99361 (2024) - [j19]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: 110745 (2024) - [j18]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: 7932-7945 (2024) - [j17]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): 679 (2024) - [j16]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): 4132-4144 (2024) - [i5]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 abs/2407.17157 (2024) - [i4]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 abs/2407.19821 (2024) - 2023
- [j15]Junjie Wang
, Hao Quan, Chengguang Wang, Genke Yang
:
Pyramid-based self-supervised learning for histopathological image classification. Comput. Biol. Medicine 165: 107336 (2023) - [j14]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: 102275 (2023) - [j13]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): 212-223 (2023) - [c8]Ke Wu, Hao Quan, Fanghong Guo:
Hierarchical Distributed Coordinated Control of DC Microgrid Cluster with Hybrid Energy Storages. IECON 2023: 1-6 - [i3]Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cui
:
Dual-channel Prototype Network for few-shot Classification of Pathological Images. CoRR abs/2311.07871 (2023) - 2022
- [j12]Hao Quan
, Andrea Bonarini:
HAVPTAT: A Human Activity Video Pose Tracking Annotation Tool. Softw. Impacts 12: 100278 (2022) - [j11]Hao Quan
, Andrea Bonarini:
PyHAPT: A Python-based Human Activity Pose Tracking data processing framework. Softw. Impacts 13: 100305 (2022) - [i2]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 abs/2205.02850 (2022) - [i1]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 abs/2205.09048 (2022) - 2021
- [j10]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: 104399 (2021) - [j9]Xueting He
, Hao Quan
, Wanlong Lin
, Weiliang Deng
, Zheyi Tan
:
AGV Scheduling Optimization for Medical Waste Sorting System. Sci. Program. 2021: 4313749:1-4313749:12 (2021) - 2020
- [j8]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: 2905841:1-2905841:11 (2020) - [j7]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): 443-452 (2020) - [j6]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): 4582-4599 (2020) - [j5]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): 5442-5450 (2020)
2010 – 2019
- 2019
- [j4]Wenjie Zhang
, Hao Quan, Dipti Srinivasan
:
An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting. IEEE Trans. Smart Grid 10(4): 4425-4434 (2019) - [c7]Wenjie Zhang
, Hao Quan, Oktoviano Gandhi
, Dipti Srinivasan:
Reliable Photovoltaic Generation Forecasting via Quantile Determination. ISGT 2019: 1-5 - 2018
- [c6]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: 158-168 - 2017
- [c5]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: 256-264 - [c4]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: 3092-3097 - 2016
- [c3]Mario Malcangi, Hao Quan:
Bio-inspired Audio-Visual Speech Recognition Towards the Zero Instruction Set Computing. EANN 2016: 326-334 - 2015
- [j3]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): 2123-2135 (2015) - 2014
- [j2]Hao Quan, Dipti Srinivasan
, Abbas Khosravi:
Particle swarm optimization for construction of neural network-based prediction intervals. Neurocomputing 127: 172-180 (2014) - [j1]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): 303-315 (2014) - 2013
- [c2]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: 66-72 - 2012
- [c1]Hao Quan, Dipti Srinivasan
, Abbas Khosravi:
Construction of neural network-based prediction intervals using particle swarm optimization. IJCNN 2012: 1-7
Coauthor Index
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last updated on 2024-08-25 19:14 CEST by the dblp team
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