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2020 – today
- 2024
[j22]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)- [j21]Dayu Hu, Renxiang Guan, Ke Liang, Hao Yu, Hao Quan, Yawei Zhao, Xinwang Liu, Kunlun He:
scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. Briefings Bioinform. 25(6) (2024) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]Zilu Ying, Jianhong Zhou, Yikui Zhai, Hao Quan, Wenba Li, Angelo Genovese, Vincenzo Piuri, Fabio Scotti:
Large-Scale High-Altitude UAV-Based Vehicle Detection via Pyramid Dual Pooling Attention Path Aggregation Network. IEEE Trans. Intell. Transp. Syst. 25(10): 14426-14444 (2024) - [c10]Tingfeng Xian, Zilu Ying, Haolin Lv, Jiahao Pan, Yikui Zhai, Hao Quan, Xudong Jia:
A Scale-Temporal Interaction Network For Remote Sensing Image Change Detection And A UAV-CD Dataset. IGARSS 2024: 8603-8607 - [c9]Jiahao Pan, Yikui Zhai, Haolin Lv, Tingfeng Xian, Zilu Ying, Hao Quan, Xudong Jia:
MSFA-Net : Multiple Spatial-Channel Feature Aggregation Network for Change Detection and a UAV-CD Dataset. IGARSS 2024: 10328-10332 - [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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