Haolin Wang

According to our database, Haolin Wang authored at least 34 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Vegetation coverage precisely extracting and driving factors analysis in drylands.

Haolin Wang, Dongwei Gui, Qi Liu, Xinlong Feng, Jia Qu, Jianping Zhao, Guangyan Wang, Guanghui Wei

Ecol. Informatics, March, 2024

Invertible network for unpaired low-light image enhancement.

Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo

Vis. Comput., January, 2024

Learning Diverse Tone Styles for Image Retouching.

Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, Wangmeng Zuo

IEEE Trans. Image Process., 2024

FRBBM-Scheme: A Flexible Ratio Virtual Primary Key Generation Approach Based on Binary Matching.

Tiancai Liang, Yun Zhao, Haolin Wang, Ziwen Cai, Zhaoguo Wang, Wenchao Wang, Chuanyi Liu

Proceedings of the Intelligent Information Processing XII, 2024

2023

A deep registration method for accurate quantification of joint space narrowing progression in rheumatoid arthritis.

Haolin Wang, Yafei Ou, Wanxuan Fang, Prasoon Ambalathankandy, Naoto Goto, Gen Ota, Taichi Okino, Jun Fukae, Kenneth Sutherland, Masayuki Ikebe, Tamotsu Kamishima

Comput. Medical Imaging Graph., September, 2023

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection.

Yuanze Li, Haolin Wang, Shihao Yuan, Ming Liu, Debin Zhao, Yiwen Guo, Chen Xu, Guangming Shi, Wangmeng Zuo

CoRR, 2023

Unlocking the Potential of Federated Learning for Deeper Models.

Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen

CoRR, 2023

A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis.

Haolin Wang, Yafei Ou, Wanxuan Fang, Prasoon Ambalathankandy, Naoto Goto, Gen Ota, Masayuki Ikebe, Tamotsu Kamishima

CoRR, 2023

SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition.

Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Real-time classification on oral ulcer images with residual network and image enhancement.

Jianbin Guo, Haolin Wang, Xingsi Xue, Mengting Li, Zhongxiong Ma

IET Image Process., 2022

Matching heterogeneous ontologies with adaptive evolutionary algorithm.

Xingsi Xue, Haolin Wang, Xin Zhou, Guojun Mao, Hai Zhu

Connect. Sci., 2022

SQET: Squeeze and Excitation Transformer for High-accuracy Brain Age Estimation.

Yixiao Hu, Haolin Wang, Baobin Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

An improved multi-objective evolutionary optimization algorithm with inverse model for matching sensor ontologies.

Xingsi Xue, Chao Jiang, Haolin Wang, Pei-Wei Tsai, Guojun Mao, Hai Zhu

Soft Comput., 2021

Matching sensor ontologies with unsupervised neural network with competitive learning.

Xingsi Xue, Haolin Wang, Wenyu Liu

PeerJ Comput. Sci., 2021

Tensor Factorization-Based Prediction With an Application to Estimate the Risk of Chronic Diseases.

Haolin Wang, Qingpeng Zhang, Youhua (Frank) Chen, Eman Yee Man Leung, Eliza Lai-Yi Wong, Eng-Kiong Yeoh

IEEE Intell. Syst., 2021

Matching Sensor Ontologies with Neural Network.

Xingsi Xue, Haolin Wang, Yunmeng Zhao, Yikun Huang, Hai Zhu

Proceedings of the 20th IEEE International Conference on Trust, 2021

Two-layer Federated Learning for Scene Text Detection.

Haolin Wang, Xiao Xiao, Yilong Hui, Zhisheng Yin, Nan Cheng

Proceedings of the IEEE International Performance, 2021

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision.

Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Virtual Menu Using Gesture Recognition for 3D Object Manipulation in Mixed Reality.

Haolin Wang, Yikun Huang, Xingsi Xue, Binnan Zhang, Kuo-Chi Chang

Proceedings of the Advanced Machine Learning Technologies and Applications, 2021

Matching Ontologies with Word2Vec Model Based on Cosine Similarity.

Jing Liao, Yikun Huang, Haolin Wang, Mengting Li

Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2021

Deep sea nodule mineral image segmentation algorithm based on Mask R-CNN.

Lihui Dong, Haolin Wang, Wei Song, Jianxin Xia, Tongmu Liu

Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

CoRR, 2020

Mining incomplete clinical data for the early assessment of Kawasaki disease based on feature clustering and convolutional neural networks.

Haolin Wang, Xuhai Tan, Zhilin Huang, Bo Pan, Jie Tian

Artif. Intell. Medicine, 2020

Integrating Co-Clustering and Interpretable Machine Learning for the Prediction of Intravenous Immunoglobulin Resistance in Kawasaki Disease.

Haolin Wang, Zhilin Huang, Danfeng Zhang, Johan Arief, Tiewei Lyu, Jie Tian

IEEE Access, 2020

An Improved Threshold Wavelet Denoising LS Channel Estimation Algorithm Based on IoT.

Haolin Wang, Fanqin Zhou, Peng Yu, Shaohua Liu

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Research on Chirp Signal Denoising Algorithm Based on IoT.

Shaohua Liu, Peng Yu, Fanqin Zhou, Haolin Wang

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Learning Flow-Based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision.

Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2020, 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake.

Lifang Li, Qingpeng Zhang, Jun Tian, Haolin Wang

Int. J. Inf. Manag., 2018

Social Media-based Conversational Agents for Health Management and Interventions.

Haolin Wang, Qingpeng Zhang, Mary Ip, Joseph Tak Fai Lau

Computer, 2018

Survey on person re-identification based on deep learning.

Kejun Wang, Haolin Wang, Meichen Liu, Xianglei Xing, Tian Han

CAAI Trans. Intell. Technol., 2018

A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks.

Kejun Wang, Liangliang Liu, Xinnan Ding, Yibo Xu, Haolin Wang

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Semantically Enhanced Medical Information Retrieval System: A Tensor Factorization Based Approach.

Haolin Wang, Qingpeng Zhang, Jiahu Yuan

IEEE Access, 2017

Semantic Expansion Network Based Relevance Analysis for Medical Information Retrieval.

Haolin Wang, Qingpeng Zhang

Proceedings of the Smart Health - International Conference, 2017