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ARCosmetics

ARGlasses

ARShoe

Hand Pose Estimation

ARFloor

Conference Publications

• Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li,
  “Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data”,
  Proceedings of the 32nd ACM International Conference on Multimedia, 2024.
• Xuri Ge, Junchen Fu, Fuhai Chen, Shan An, Nicu Sebe, Joemon M Jose,
  “Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning”,
  Proceedings of the 32nd ACM International Conference on Multimedia, 8189-8198, 2024.
• Guoxin Wang, Sheng Shi, Shan An, Fengmei Fan, Wenshu Ge, Qi Wang, Feng Yu, Zhiren Wang,
  “A Bi-Pyramid Multimodal Fusion Method for the Diagnosis Of Bipolar Disorders”,
  ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024.
• Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu,
  “DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification”,
  Proceedings of the 31st ACM International Conference on Multimedia, 3550-3559, 2023.
• Stavros N Moutsis, Konstantinos A Tsintotas, Ioannis Kansizoglou, Shan An, Yiannis Aloimonos, Antonios Gasteratos,
  “Fall detection paradigm for embedded devices based on YOLOv8”,
  2023 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2023.
• Guoxin Wang, Xuyang Cao, Shan An, Fengmei Fan, Chao Zhang, Jinsong Wang, Feng Yu, Zhiren Wang,
  “Multi-Dimension-Embedding-Aware Modality Fusion Transformer for Psychiatric Disorder Classification”,
  arXiv preprint arXiv:2310.02690, 2023.
• Shan An, Guangfu Che, Jinghao Guo, Yanjie Xu, Guoxin Wang, Konstantinos A. Tsintotas, Fukai Zhang, Junjie Ye, Changhong Fu, Haogang Zhu, and Hong Zhang,
  “An Open-Source Robotic Chinese Chess Player”,
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2023.
• Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, and Qiang Lyu,
  “WCANet: Wavelet Channel Attention Network for citrus variety identification”,
  IEEE International Conference on Image Processing (ICIP), 2023.
• Konstantinos A. Tsintotas, Shan An, Ioannis Tsampikos Papapetros, Fotios K. Konstantinidis, Georgios Ch. Sirakoulis, and Antonios Gasteratos,
  “Dimensionality reduction through visual data resampling for low-storage loop-closure detection”,
  IEEE International Conference on Imaging Systems and Techniques (IST), 2022.
• Mengzhu Wang, Shan An, Wei Yu, Lu Gui, Junyang Chen, and Zhigang Luo,
  “Attention-based Adversarial Partial Domain Adaptation”,
  International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.
• Dong Wei, Shan An, Xiajie Zhang, Jiaxin Tian,Jianyu Yang, Konstantinos A. Tsintotas, and Haogang Zhu,
  “Dual Regression for Efficient Hand Pose Estimation”,
  International Conference on Robotics and Automation (ICRA), 2022.
• Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu , Dong Wei, Aishan Liu, and Wei Zhang,
  “ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones”,
  ACM Multimedia, 2021.
• Shan An, Fangru Zhou, Mei Yang, Haogang Zhu, Changhong Fu, and Konstantinos A. Tsintotas,
  “Real-time Monocular Human Depth Estimation and Segmentation on Embedded Systems”,
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
• Konstantinos A. Tsintotas, Loukas Bampis, Shan An, George F. Fragulis, Spyridon G. Mouroutsos, and Antonios Gasteratos,
  “Sequence-based mapping for probabilistic visual loop closure detection”,
  IEEE international conference on imaging systems and techniques (IST), 2021.
• Hongxiang Gao, Shan An, Jianqing Li, and Chengyu Liu,
  “Deep Balanced Learning for Long-tailed Facial Expressions Recognition”,
  International Conference on Robotics and Automation (ICRA), 2021.
• Peng Wang, Zheng Fang, Shibo Zhao, Yongnan Chen, Ming Zhou, and Shan An,
  “Vanishing Point Aided LiDAR-Visual-Inertial Estimator”,
  International Conference on Robotics and Automation (ICRA), 2021.
• Shan An, Jing Lv, Haogang Zhu, Jingyi Wang, Xiaoxue Zhou, Qining Liu, Yier Shu, Zhengyu Liu, Yingying Zhang, Xiangyu Liu, and Yihua He,
  “Fetal Heart and Descending Aorta Detection in Four-Chamber View of Fetal Echocardiography”,
  43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021.
• Shan An, Xiaoxue Zhou, Haogang Zhu, Fangru Zhou, Yuduo Wu, Tingyang Yang, Xiangyu Liu, Yingying Zhang, Zhicheng Jiao, and Yihua He,
  “Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography”,
  43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021.
• Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, and Xianglong Liu,
  “Transductive Relation-Propagation Network for Few-shot Learning”,
  The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020.
• Tingyang Yang, Jiancheng Han, Haogang Zhu, Tiantian Li, Xiaowei Liu, Xiaoyan Gu, Xiangyu Liu, Shan An, Yingying Zhang, Ye Zhang, and Yihua He,
  “Segmentation of Five Components in Four Chamber View of Fetal Echocardiography”,
  IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020.
• Shan An, Zhibiao Huang, Guangfu Che, Xianglong Liu, Xin Ma, and Yu Chen,
  “Quarter-point Codeword Expansion for Product Quantization”,
  IEEE International Conference on Multimedia and Expo (ICME), 2019.
• Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, and Yu Chen,
  “Fast and Incremental Loop Closure Detection using Proximity Graphs”,
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
• Shan An, Zhibiao Huang, Yu Chen, and Dennis Weng,
  “Near Duplicate Product Image Detection Based on Binary Hashing”,
  ACM 2017 International Conference on Deep Learning Technologies, 2017.
• Shan An, Xin Ma, Rui Song, and Yibin Li,
  “Face Detection and Recognition with SURF for Human-Robot Interaction”,
  IEEE International Conference on Automation & Logistics, 2009.
• Yinying Zhu, Jun Yang, Zhengtao Cao, Shan An, and Mengsun Yu,
  “A method for automatic correction of sleep respiratory events using snoring signals”,
  China Instrumentation & Measurement & Control Technology Conference, 2008.

Journal Publications

• Yuxia Li, Guanqun Chen, Guoxin Wang, Zhiyi Zhou, Shan An, Shipeng Dai, Yuxin Jin, Chao Zhang, Mingkai Zhang, Feng Yu,
  “Dominating Alzheimer’s disease diagnosis with deep learning on sMRI and DTI-MD”,
  Frontiers in Neurology 15, 1444795, 2024.
• Xuri Ge, Songpei Xu, Fuhai Chen, Jie Wang, Guoxin Wang, Shan An, Joemon M Jose,
  “3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting”,
  Information Processing & Management 61 (4), 103716, 2024.
• Guoxin Wang, Fengmei Fan, Sheng Shi, Shan An, Xuyang Cao, Wenshu Ge, Feng Yu, Qi Wang, Xiaole Han, Shuping Tan, Yunlong Tan, Zhiren Wang,
  “Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis”,
  Computerized Medical Imaging and Graphics 114, 102368, 2024.
• Yu Liang, Chenlong Zhang, Shan An, Zaitian Wang, Kaize Shi, Tianhao Peng, Yuqing Ma, Xiaoyang Xie, Jian He, Kun Zheng,
  “FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification”,
  Journal of Neural Engineering 21 (3), 036011, 2024.
• Fukai Zhang, Xiaobo Jin, Gang Lin, Jie Jiang, Mingzhi Wang, Shan An, Junhua Hu, Qiang Lyu,
  “Hybrid attention network for citrus disease identification”,
  Computers and Electronics in Agriculture 220, 108907, 2024.
• Zebin Gao, Yuchen Guo, Guoxin Wang, Xiangru Chen, Xuyang Cao, Chao Zhang, Shan An, Feng Xu,
  “Robust deep learning from incomplete annotation for accurate lung nodule detection”,
  Computers in Biology and Medicine 173, 108361, 2024.
• Wenjie Li, Haoyu Li, Xinlin Sun, Huicong Kang, Shan An, Guoxin Wang, Zhongke Gao,
  “Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition”,
  Journal of Neural Engineering 21 (2), 026038, 2024.
• Zixiao Jin, Minhui Wang, Chang Tang, Xiao Zheng, Wen Zhang, Xiaofeng Sha, Shan An,
  “Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion”,
  Computers in Biology and Medicine 169, 107904, 2024.
• Xianglong Liu, Shihao Bai, Shan An, Shuo Wang, Wei Liu, Xiaowei Zhao, Yuqing Ma,
  “A meaningful learning method for zero-shot semantic segmentation”,
  Science China Information Sciences 66 (11), 210103, 2023.
• Shan An, Fangru Zhou, Mei Yang, Shuang Bai, Chang Tang, and Haogang Zhu,
  “Learning an Insertion Region for Advertisement Embedding on Planes”,
  Signal Processing: Image Communication, 2023.
• Hongxiang Gao, Min Wu, Zhenghua Chen, Yuwen Li, Xingyao Wang, Shan An, Jianqing Li, and Chengyu Liu,
  “SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition”,
  Neural Networks, 2023.
• Xianglong Liu, Shihao Bai, Yuqing Ma, Shan An, Shuo Wang, Wei Liu, and Xiaowei Zhao,
  “A Meaningful Learning Framework for Zero-shot Semantic Segmentation”,
  SCIENCE CHINA Information Sciences, 2023.
• Tingyang Yang, Jingshuang Xu, Mengxiao Zhu, Shan An, Ming Gong, and Haogang Zhu,
  “FedZaCt: Federated Learning with Z average and Cross teaching on Image Segmentation”,
  MDPI Electronics, 2022.
• Lin Ge, Bo Lv, Na Li, Shan An, and Feiyue Wang,
  “A Hypertension Parallel Healthcare System Based on the ACP Approach”,
  IEEE Journal of Radio Frequency Identification, 2022.
• Shan An, Jianye Chen, Zhaoqi Zhu, Fangru Zhou, Yuxing Yang, Yuqing Ma, Xianglong Liu, and Haogang Zhu,
  “ARCosmetics: A Real-Time Augmented Reality Cosmetics Try-on System”,
  Frontiers of Computer Science, 2022.
• Shan An, Haogang Zhu, Jiaao Zhang, Junjie Ye, Siliang Wang, Jianqin Yin, and Hong Zhang,
  “Deep Tri-Training for Semi-Supervised Image Segmentation”,
  IEEE Robotics and Automation Letters with IROS presentation, 2022..
• Tingyang Yang, Ye Zhang, Mengxiao Zhu, Yan Wang, Shan An, Xiaoyan Gu, Xiaowei Liu, Jiancheng Han, Yihe Hua, and Haogang Zhu,
  “Segmentation of Ten Fetal Heart Components with Coarse-to-fine Cascading and Dynamic Feature Powering”,
  IET Image Processing, 2022.
• Shan An, Haogang Zhu, Dong Wei, Konstantinos A. Tsintotas, and Antonios Gasteratos,
  “Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs”,
  Journal of Field Robotics,2022.
• Shan An, Xiajie Zhang, Dong Wei, Haogang Zhu，Jianyu Yang, and Konstantinos A. Tsintotas,
  “FastHand: Fast Monocular Hand Pose Estimation on Embedded Systems”,
  Journal of Systems Architecture, Volume 122, Jan. 2022, Pages 102361.
• Junjie Ye, Changhong Fu, Ziang Cao, Shan An, Guangze Zheng , and Bowen Li,
  “Tracker Meets Night: A Transformer Enhancer for UAV Tracking”,
  IEEE Robotics and Automation Letters(RA-L) ,2022.
• Shan An, Haogang Zhu, Yuanshuai Wang, Fangru Zhou, Xiaoxue Zhou, Xu Yang, Yingying Zhang, Xiangyu Liu,Zhicheng Jiao, and Yihua He,
  “A Category Attention Instance Segmentation Network for Four Cardiac Chambers Segmentation in Fetal Echocardiography”,
  Computerized Medical Imaging and Graphics, Volume 193, Oct. 2021, Pages 101983.
• Junjie Ye, Changhong Fu, Fuling Lin, Fangqiang Ding, Shan An, and Geng Lu,
  “Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization”,
  IEEE Transactions on Industrial Electronics (T-IE), Volume 69, Jun. 2022, Pages 6004-6014. (IF:8.236).
• Chang Tang, Xinwang Liu, Shan An, and Pichao Wang,
  “BR2Net: Defocus Blur Detection via Bi-directional Channel Attention Residual Refining Network”,
  IEEE Transactions on Multimedia (TMM), Volume 23, Apr. 2020, Pages 624-635. (IF:6.513).
• Shuang Bai, Huadong Tang, and Shan An,
  “Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction”,
  Expert Systems with Applications, Volume 120, 15 Apr. 2019, Pages 298-309. (IF:5.452).
• Shan An, Si Liu, Zhibiao Huang , Guangfu Che , Qian Bao , Zhaoqi Zhu , Yu Chen , and Dennis Z. Weng,
  “RotateView: A video composition system for interactive product display”,
  IEEE Transactions on Multimedia (TMM)，Volume 21, Dec. 2019, Pages 3095-3105. (IF:6.513).
• Shan An, Zhibiao Huang, Shuang Bai, Guangfu Che , Xin Ma , Jie Luo , and Yu Chen,
  “Quarter-point Product Quantization for Approximate Nearest Neighbor Search”,
  Pattern Recognition Letters，Volume 125, 2019, Pages 187-194. (IF:3.756).
• Shuang Bai, and Shan An,
  “A Survey on Automatic Image Caption Generation”,
  Neurocomputing，Volume 311, Oct. 2018, Pages 291-304. (IF:5.719).
• Shuang Bai, Chao Han, and Shan An,
  “Recognizing Anomalies in Urban Road Scenes Through Analysing Single Images Captured by Cameras on Vehicles”,
  Sensing and Imaging, Volume 19, Issue 1, 19 pp. 2018. (IF: 1.12).
• Yingying Zhu, Shan An, Jun Yang, and Mengsun Yu,
  “Compensation algorithm for respiration signal based on MSMSMS”,
  Journal of Electronic Measurement and Instrument, 2009, 23(4): 55-59.

Talks and Presentations

• JD AR cosmetics try-on system and shoe try-on system,
  DataFun Talk, and Qilu University of Technology.
  2021
• Real-time Monocular Human Depth Estimation and Segmentation on Embedded Systems,
  Pre-IROS in China, and IROS 2021.
• RotateView: A video composition system for interactive product display,
  Beihang University.
  2020
• Face landmark localization algorithm for JD AR cosmetics try-on system,
  Zhidx.COM Open Class.
  2020
• Thoughts on AI research in academia and industry,
  CCF Young Computer Scientists & Engineers Forum, Wuhan, China.
  2020  
• Computer vision algorithms and applications,
  Yanshan University. 
  2019 
• Fast and Incremental Loop Closure Detection using Proximity Graphs,
  IROS 2019.
• Quarter-point Codeword Expansion for Product Quantization,
  ICME 2019.
• Product image retrieval techniques,
  Institute of Information Engineering, Chinese Academy of Sciences.
  2018
• Near Duplicate Product Image Detection Based on Binary Hashing,
  ICDLT 2017.

Membership of Professional Associations

• Senior Member of Institute of Electrical and Electronics Engineers (IEEE)
• Member of IEEE Young Professionals
• Member of IEEE Robotics and Automation Society
• Member of IEEE Signal Processing Society
• Member of IEEE Consumer Technology Society 
• Member of IEEE Biometrics Council  
• Member of China Computer Federation (CCF)
• Member of CCF Tech Frontier Committee
• Member of CCF Computer Vision Committee
• Member of China Society of Image and Graphics (CSIG)
• Member of CSIG Visual Big Data Committee
• Member of Chinese Association of Automation (CAA)
• Member of Association for Computing Machinery (ACM)

Program Committee Member

• ACM International Conference on Multimedia (MM), 2019-2021, 2023.
• ACM Multimedia Asia 2019, 2021, 2023.
• International Joint Conference on Artificial Intelligence (IJCAI), 2021-2024.
• AAAI Conference on Artificial Intelligence, 2022, 2023.

Journal Reviewer

• IEEE Transactions on Neural Networks and Learning Systems.
• IEEE Transactions on Multimedia.
• IEEE Transactions on Medical Imaging.
• IEEE Transactions on Circuits and Systems for Video Technology.
• IEEE Journal of Biomedical and Health Informatics.
• IEEE Robotics & Automation Magazine.
• IEEE Signal Processing Letters.
• IEEE Robotics and Automation Letters.
• Pattern Recognition.
• Pattern Recognition Letters.
• Frontiers of Computer Science.
• IET Image Processing.
• Computational Intelligence and Neuroscience.
• Soft Computing.
• ISA Transactions.
• Scientific Reports.
• Frontiers in Robotics and AI.
• International Journal of Applied Earth Observation and Geoinformation.
• Advanced Intelligent Systems.
• Artificial Intelligence in Medicine.
• Journal of Field Robotics.

Conference Reviewer

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2022, 2023.
• Association for the Advancement of Artificial Intelligence (AAAI), 2022, 2023.
• ACM International Conference on Multimedia (MM), 2019, 2020, 2021, 2022, 2023.
• IEEE International Conference on Computer Vision (ICCV), 2021.
• International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2022, 2023.
• IEEE International Conference on Multimedia and Expo (ICME), 2021, 2022, 2023.
• IEEE International Conference on Robotics and Automation (ICRA), 2021, 2022, 2023.
• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, 2021, 2022, 2023.
• International Conference on Pattern Recognition (ICPR), 2021.
• IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2019.
• ACM Multimedia Asia, 2019, 2021.
• IEEE International Symposium on Biomedical Imaging (ISBI), 2021，2022, 2023.
• IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021.