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original article |
Date |
Title |
Authors All Authors |
1 |
[GO] |
2025―Apr―26 |
Efficient and lightweight CNN model for COVID-19 diagnosis from CT and X-ray images using customized pruning and quantization techniques |
Nattavut Sriwiboon |
2 |
[GO] |
2024―Dec―19 |
Simultaneous segmentation and classification of lung CT scans for COVID-19 diagnosis: a deep multi-task learning perspective |
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
3 |
[GO] |
2024―Sep―23 |
Accurate segmentation of COVID-19 infected regions in lung CT scans with deep learning |
U Lenin Marksia, C Yesubai Rubavathi |
4 |
[GO] |
2024―Sep―21 |
Simulation of fractional order mathematical model of robots for detection of coronavirus using Levenberg-Marquardt backpropagation neural network |
Zulqurnain Sabir, Mohamed R. Ali, R. Sadat |
5 |
[GO] |
2024―Sep―20 |
StackGridCov: a robust stacking ensemble learning-based model integrated with GridSearchCV hyperparameter tuning technique for mutation prediction of COVID-19 virus |
Mehmet Burukanli, Nejat Yumuşak |
6 |
[GO] |
2024―Aug―23 |
A Siamese neural network-based diagnosis of COVID-19 using chest X-rays |
Engin Tas, Ayca Hatice Atli |
7 |
[GO] |
2024―Aug―08 |
Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders |
Maria G. F. Coutinho, Gabriel B. M. Câmara, Raquel de M. Barbosa, Marcelo A. C. Fernandes |
8 |
[GO] |
2024―Jul―24 |
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection |
Kemal Akyol |
9 |
[GO] |
2024―May―27 |
Training neuro-fuzzy using flower pollination algorithm to predict number of COVID-19 cases: situation analysis for twenty countries |
Ceren Baştemur Kaya, Ebubekir Kaya |
10 |
[GO] |
2024―May―03 |
Numerical reasoning reading comprehension on Vietnamese COVID-19 news: task, corpus, and challenges |
Kiet Van Nguyen, Thang Viet Le, Tinh Pham-Phuc Do |
11 |
[GO] |
2024―Apr―20 |
MCHIAO: a modified coronavirus herd immunity-Aquila optimization algorithm based on chaotic behavior for solving engineering problems |
Heba Selim, Amira Y. Haikal, Labib M. Labib, Mahmoud M. Saafan |
12 |
[GO] |
2024―Mar―08 |
Spread patterns of COVID-19 in European countries: hybrid deep learning model for prediction and transmission analysis |
Anıl Utku, M. Ali Akcayol |
13 |
[GO] |
2024―Feb―26 |
CovLIS-MUnet segmentation model for Covid-19 lung infection regions in CT images |
Manju Devi, Sukhdip Singh, Shailendra Tiwari |
14 |
[GO] |
2024―Feb―22 |
COVID-19 drug repurposing model based on pigeon-inspired optimizer and rough sets theory |
Ibrahim Gad, Mohamed Torky, Yaseen A. M. M. Elshaier, Ashraf Darwish, Aboul Ella Hassanien |
15 |
[GO] |
2024―Feb―20 |
BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities |
Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, et al. (+2) Hu Min, Xuejiao Zhao |
16 |
[GO] |
2023―Dec―29 |
COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images |
Gerges M. Salama, Asmaa Mohamed, Mahmoud Khaled Abd-Ellah |
17 |
[GO] |
2023―Dec―24 |
Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation |
Jing Zhang, Yingpeng Xie, Dandan Sun, Ruidong Huang, Tianfu Wang, Baiying Lei, Kuntao Chen |
18 |
[GO] |
2023―Dec―12 |
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population |
Tiago D. Martins, Sandra D. Martins, Silmara Montalvão, Mohamad Al Bannoud, Gabriel Y. Ottaiano, Letícia Q. Silva, et al. (+6) Stephany C. Huber, Tassiana S. P. Diaz, Carolina Wroclawski, Cyrillo Cavalheiro Filho, Rubens Maciel-Filho, Joyce M. Annichino-Bizzacchi |
19 |
[GO] |
2023―Dec―04 |
Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging |
Walaa N. Ismail, Hessah A. Alsalamah, Ebtsam A. Mohamed |
20 |
[GO] |
2023―Sep―12 |
A gradient boosting-based mortality prediction model for COVID-19 patients |
Sinem Bozkurt Keser, Kemal Keskin |
21 |
[GO] |
2023―Sep―08 |
A novel graph-based multi-view spectral clustering: application to X-ray image analysis for COVID-19 recognition |
F. Dornaika, V. Truong Hoang |
22 |
[GO] |
2023―Jul―24 |
Online diagnosis of COVID-19 from chest radiography images by using deep learning algorithms |
Cafer Budak, Vasfiye Mençik, Osman Varışlı |
23 |
[GO] |
2023―Jul―14 |
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning |
Chendong Ma, Jun Song, Yibo Xu, Hongwei Fan, Xiaoran Liu, Xing Wu, et al. (+3) Yang Luo, Tuo Sun, Jiemin Xie |
24 |
[GO] |
2023―Jul―07 |
A fuzzy approach for prioritization of pharmacies to improve mask distribution process during COVID-19 pandemic-a pilot study for İstanbul |
Melike Erdoğan |
25 |
[GO] |
2023―Jun―27 |
Scientometric analysis of ICT-assisted intelligent control systems response to COVID-19 pandemic |
Sandeep Kumar Sood, Keshav Singh Rawat, Dheeraj Kumar |
26 |
[GO] |
2023―May―31 |
Analysing sentiment change detection of Covid-19 tweets |
Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos |
27 |
[GO] |
2023―May―27 |
A survey on deep learning models for detection of COVID-19 |
Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi |
28 |
[GO] |
2023―May―11 |
IoT-based health monitoring system to handle pandemic diseases using estimated computing |
Lidia Ogiela, Arcangelo Castiglione, Brij B. Gupta, Dharma P. Agrawal |
29 |
[GO] |
2023―May―05 |
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches |
Bahareh Rezazadeh, Parvaneh Asghari, Amir Masoud Rahmani |
30 |
[GO] |
2023―May―04 |
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data |
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, et al. (+7) Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Maqsud Hossain |
31 |
[GO] |
2023―May―02 |
MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems |
Asmaa M. Khalid, Hanaa M. Hamza, Seyedali Mirjalili, Khaid M. Hosny |
32 |
[GO] |
2023―May―02 |
A new Covid-19 diagnosis strategy using a modified KNN classifier |
Asmaa H. Rabie, Alaa M. Mohamed, M. A. Abo-Elsoud, Ahmed I. Saleh |
33 |
[GO] |
2023―Apr―28 |
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module |
Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin |
34 |
[GO] |
2023―Apr―19 |
Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks |
Iyad Abu Doush, Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Sharif Naser Makhadmeh, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri |
35 |
[GO] |
2023―Mar―24 |
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis |
Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen |
36 |
[GO] |
2023―Mar―15 |
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images |
M. Emin Sahin, Hasan Ulutas, Esra Yuce, Mustafa Fatih Erkoc |
37 |
[GO] |
2023―Mar―09 |
A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization |
Soleiman Kadkhoda Mohammadi, Daryoush Nazarpour, Mojtaba Beiraghi |
38 |
[GO] |
2023―Feb―21 |
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma |
Zuhal Kurt, Şahin Işık, Zeynep Kaya, Yıldıray Anagün, Nizameddin Koca, Sümeyye Çiçek |
39 |
[GO] |
2023―Feb―06 |
Evaluating deep learning predictions for COVID-19 from X-ray images using leave-one-out predictive densities |
Sergio Hernández, Xaviera López-Córtes |
40 |
[GO] |
2023―Jan―24 |
Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography images |
Mughees Ahmad, Usama Ijaz Bajwa, Yasar Mehmood, Muhammad Waqas Anwar |
41 |
[GO] |
2022―Dec―15 |
A residual network-based framework for COVID-19 detection from CXR images |
Hareem Kibriya, Rashid Amin |
42 |
[GO] |
2022―Dec―01 |
Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation |
Mohammad Hashem Ryalat, Osama Dorgham, Sara Tedmori, Zainab Al-Rahamneh, Nijad Al-Najdawi, Seyedali Mirjalili |
43 |
[GO] |
2022―Nov―23 |
Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age |
Choujun Zhan, Wei Jiang, Hu Min, Ying Gao, C. K. Tse |
44 |
[GO] |
2022―Nov―17 |
Explaining COVID-19 diagnosis with Taylor decompositions |
Mohammad Mehedi Hassan, Salman A. AlQahtani, Abdulhameed Alelaiwi, João P. Papa |
45 |
[GO] |
2022―Nov―13 |
Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak |
Deepika Varshney, Dinesh Kumar Vishwakarma |
46 |
[GO] |
2022―Nov―04 |
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19 |
Binrong Wu, Lin Wang, Rui Tao, Yu-Rong Zeng |
47 |
[GO] |
2022―Oct―15 |
Multiobjective problem modeling of the capacitated vehicle routing problem with urgency in a pandemic period |
Mehmet Altinoz, O. Tolga Altinoz |
48 |
[GO] |
2022―Sep―23 |
Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function |
Khalid M. Hosny, Asmaa M. Khalid, Hanaa M. Hamza, Seyedali Mirjalili |
49 |
[GO] |
2022―Sep―20 |
Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review |
Bhavani Devi Ravichandran, Pantea Keikhosrokiani |
50 |
[GO] |
2022―Sep―19 |
Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review |
Jingjing Chen, Yixiao Li, Lingling Guo, Xiaokang Zhou, Yihan Zhu, Qingfeng He, et al. (+2) Haijun Han, Qilong Feng |
51 |
[GO] |
2022―Aug―26 |
COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle |
Asmaa M. Khalid, Khalid M. Hosny, Seyedali Mirjalili |
52 |
[GO] |
2022―Aug―06 |
Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach |
Murat Uçar |
53 |
[GO] |
2022―Aug―06 |
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models |
Sotiria Vernikou, Athanasios Lyras, Andreas Kanavos |
54 |
[GO] |
2022―Jul―24 |
Real-time internet of medical things framework for early detection of Covid-19 |
Emre Yildirim, Murtaza Cicioğlu, Ali Çalhan |
55 |
[GO] |
2022―Jun―10 |
Machine learning applications for COVID-19 outbreak management |
Arash Heidari, Nima Jafari Navimipour, Mehmet Unal, Shiva Toumaj |
56 |
[GO] |
2022―May―31 |
COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm |
Luning Bi, Mohammad Fili, Guiping Hu |
57 |
[GO] |
2022―May―11 |
Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms |
Rahil Mazloumi, Seyed Reza Abazari, Farnaz Nafarieh, Amir Aghsami, Fariborz Jolai |
58 |
[GO] |
2022―Apr―19 |
Leveraging deep learning for COVID-19 diagnosis through chest imaging |
Yashika Khurana, Umang Soni |
59 |
[GO] |
2022―Mar―14 |
A neural network-based model for estimating the delivery time of oxygen gas cylinders during COVID-19 pandemic |
Ahmed M. Ghaithan, Ibrahim Alarfaj, Awsan Mohammed, Osaid Qasim |
60 |
[GO] |
2022―Mar―01 |
AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia |
Hemant Ghayvat, Muhammad Awais, A. K. Bashir, Sharnil Pandya, Mohd Zuhair, Mamoon Rashid, Jamel Nebhen |
61 |
[GO] |
2022―Feb―28 |
COVID-19 diagnosis on CT images with Bayes optimization-based deep neural networks and machine learning algorithms |
Murat Canayaz, Sanem Şehribanoğlu, Recep Özdağ, Murat Demir |
62 |
[GO] |
2022―Jan―24 |
VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm |
Abdulkadir Karacı |
63 |
[GO] |
2022―Jan―08 |
Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach |
Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino |
64 |
[GO] |
2022―Jan―07 |
An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19 |
Fatih Ecer |
65 |
[GO] |
2022―Jan―05 |
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays |
Ashis Paul, Arpan Basu, Mufti Mahmud, M. Shamim Kaiser, Ram Sarkar |
66 |
[GO] |
2022―Jan―05 |
Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities |
Laith Abu Lekham, Yong Wang, Ellen Hey, Mohammad T. Khasawneh |
67 |
[GO] |
2021―Nov―13 |
E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education |
Malak Abdullah, Mahmoud Al-Ayyoub, Saif AlRawashdeh, Farah Shatnawi |
68 |
[GO] |
2021―Oct―11 |
A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting |
Hossein Abbasimehr, Reza Paki, Aram Bahrini |
69 |
[GO] |
2021―Oct―10 |
A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models |
Belal Alsinglawi, Omar Mubin, Fady Alnajjar, Khalid Kheirallah, Mahmoud Elkhodr, Mohammed Al Zobbi, et al. (+6) Mauricio Novoa, Mudassar Arsalan, Tahmina Nasrin Poly, Munkhjargal Gochoo, Gulfaraz Khan, Kapal Dev |
70 |
[GO] |
2021―Oct―01 |
PA during the COVID-19 outbreak in China: a cross-sectional study |
Yingjun Nie, Yuanyan Ma, Xiaodong Li, Yankong Wu, Weixin Liu, Zhenke Tan, et al. (+4) Jiahui Li, Ce Zhang, Chennan Lv, Ting Liu |
71 |
[GO] |
2021―Sep―21 |
ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India |
Rajagopal Kumar, Fadi Al-Turjman, L. N. B. Srinivas, M. Braveen, Jothilakshmi Ramakrishnan |
72 |
[GO] |
2021―Sep―15 |
The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine |
Murat Kirişci, İbrahim Demir, Necip Şimşek, Nihat Topaç, Musa Bardak |
73 |
[GO] |
2021―Sep―10 |
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing |
Nidal Nasser, Qazi Emad-ul-Haq, Muhammad Imran, Asmaa Ali, Imran Razzak, Abdulaziz Al-Helali |
74 |
[GO] |
2021―Sep―07 |
A statistical approach to secure health care services from DDoS attacks during COVID-19 pandemic |
Zhili Zhou, Akshat Gaurav, B. B. Gupta, Hedi Hamdi, Nadia Nedjah |
75 |
[GO] |
2021―Aug―12 |
Machine learning-based diffusion model for prediction of coronavirus-19 outbreak |
Supriya Raheja, Shreya Kasturia, Xiaochun Cheng, Manoj Kumar |
76 |
[GO] |
2021―Jul―30 |
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound |
Mesut Melek |
77 |
[GO] |
2021―Jul―29 |
Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images |
Erdi Acar, Engin Şahin, İhsan Yılmaz |
78 |
[GO] |
2021―Jul―07 |
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images |
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali |
79 |
[GO] |
2021―Jul―06 |
Linguistic methods in healthcare application and COVID-19 variants classification |
Marek R. Ogiela, Urszula Ogiela |
80 |
[GO] |
2021―Jul―04 |
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach |
Liang Tan, Keping Yu, Ali Kashif Bashir, Xiaofan Cheng, Fangpeng Ming, Liang Zhao, Xiaokang Zhou |
81 |
[GO] |
2021―Jul―02 |
Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread |
Raghav Magoo, Harpreet Singh, Neeru Jindal, Nishtha Hooda, Prashant Singh Rana |
82 |
[GO] |
2021―Jun―11 |
SMOTE-NC and gradient boosting imputation based random forest classifier for predicting severity level of covid-19 patients with blood samples |
Elif Ceren Gök, Mehmet Onur Olgun |
83 |
[GO] |
2021―Jun―09 |
Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning |
Mangena Venu Madhavan, Aditya Khamparia, Deepak Gupta, Sagar Pande, Prayag Tiwari, M. Shamim Hossain |
84 |
[GO] |
2021―Apr―29 |
A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays |
Fouzia Altaf, Syed M. S. Islam, Naeem Khalid Janjua |
85 |
[GO] |
2021―Apr―27 |
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences |
Marika Kaden, Katrin Sophie Bohnsack, Mirko Weber, Mateusz Kudła, Kaja Gutowska, Jacek Blazewicz, Thomas Villmann |
86 |
[GO] |
2021―Apr―16 |
Detection of COVID-19 from CT scan images: A spiking neural network-based approach |
Avishek Garain, Arpan Basu, Fabio Giampaolo, Juan D. Velasquez, Ram Sarkar |
87 |
[GO] |
2021―Mar―30 |
Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images |
Gianni D’Angelo, Francesco Palmieri |
88 |
[GO] |
2021―Feb―25 |
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks |
Kapal Dev, Sunder Ali Khowaja, Ankur Singh Bist, Vaibhav Saini, Surbhi Bhatia |
89 |
[GO] |
2021―Feb―04 |
A review on COVID-19 forecasting models |
Iman Rahimi, Fang Chen, Amir H. Gandomi |
90 |
[GO] |
2021―Jan―27 |
A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients |
Kalyan Kumar Jena, Sourav Kumar Bhoi, Mukesh Prasad, Deepak Puthal |
91 |
[GO] |
2021―Jan―19 |
Efficient deep learning approach for augmented detection of Coronavirus disease |
Ahmed Sedik, Mohamed Hammad, Fathi E. Abd El-Samie, Brij B. Gupta, Ahmed A. Abd El-Latif |
92 |
[GO] |
2021―Jan―08 |
COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays |
Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu |
93 |
[GO] |
2021―Jan―05 |
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method |
Simin Li, Yulan Lin, Tong Zhu, Mengjie Fan, Shicheng Xu, Weihao Qiu, et al. (+7) Can Chen, Linfeng Li, Yao Wang, Jun Yan, Justin Wong, Lin Naing, Shabei Xu |
94 |
[GO] |
2020―Oct―26 |
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images |
Mohamed Loey, Gunasekaran Manogaran, Nour Eldeen M. Khalifa |
95 |
[GO] |
2020―Oct―23 |
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound |
Zohair Malki, El-Sayed Atlam, Ashraf Ewis, Guesh Dagnew, Ahmad Reda Alzighaibi, Ghada ELmarhomy, et al. (+3) Mostafa A. Elhosseini, Aboul Ella Hassanien, Ibrahim Gad |
96 |
[GO] |
2020―Aug―27 |
Coronavirus herd immunity optimizer (CHIO) |
Mohammed Azmi Al-Betar, Zaid Abdi Alkareem Alyasseri, Mohammed A. Awadallah, Iyad Abu Doush |
97 |
[GO] |
2020―Aug―17 |
Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers |
Choujun Zhan, Yufan Zheng, Zhikang Lai, Tianyong Hao, Bing Li |