Xiping Hu is currently a tenured professor and doctoral supervisor at Beijing Institute of Technology, and the executive director of the Artificial Intelligence Research Institute of Shenzhen MSU-BIT Univesity. He is the head of Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing, which is the first Guangdong-Hong Kong-Macao Joint Laboratory to be approved in the information science discipline in years.

Xiping Hu completed his PhD at The University of British Columbia. His research is in the broad areas of crowd computing, cyber-physical systems and emotional intelligence computing (ranked 1st, 2nd, and 51st globally in Google Scholar citations, respectively). He innovatively proposed a cyber-physical system theory for human-machine-object mobile interconnected perception, overcoming challenges in real-time, reliable, and seamless multi-objective information interaction and perception. This work enabled the establishment of a dynamic, adaptive collaboration system among multiple individuals, machines, and objects.

Based on these studies, Dr. Hu has published 102 papers as the first or corresponding author in JCR Q1 and CCF-A category journals, including IEEE TPAMI/TIP/TMC/TPDS/JSAC, ACM MobiCom/MM/SIGIR, AAAI/IJCAI/ACL, with a total impact factor of 835.82. Additionally, 13 national and PCT international invention patents have been granted. His research has been cited and positively reviewed by over 40 academicians and 100 IEEE/ACM Fellows and their teams worldwide, with 25 papers classified as highly cited by ESI. Since 2019, he has been repeatedly listed among Stanford University’s “Top 2% Scientists list”.

His research has received funding from major projects, with a total PI funding exceeding 100 million RMB. These projects have significantly contributed to industrial upgrades and enhanced international competitiveness. As the second contributor, he was part of a team awarded the Provincial Natural Science Grand Prize (the only award in information sciences history) for "Key Issues in Brain-Object Mobile Interconnection", and the National Natural Science Second Prize for "Key Issues in Ubiquitous Depression Perception." Additional honors include the Ministry of Education-Huawei "Intelligent Base" Pioneer Teacher Award and mentored students to win the only Best Paper Award at the 22nd IEEE HealthCom and third place (3rd/266 teams) in the 2020 IEEE International Affective Intelligence Challenge. He has been invited to deliver talks at leading institutions, including Cambridge University, IBM Watson, and the National University of Defense Technology.

Dr. Hu has also served as a reviewer for programs like the Chang Jiang Scholars Program and the 973 Program, Vice Chairman of the Intelligent Vehicle and Robotics Subcommittee of the China Instrument and Control Society, and held editorial positions for internationally renowned journals such as IEEE IoT Journal and IEEE TASE. He also served as General Co-Chair for international flagship conferences like the 8th IEEE SmartIoT, the 20th IEEE CloudCom, and the 35th IEEE/ACM IWQoS.

As co-founder and CTO of Bravolol Limited, Dr. Hu launched multiple mobile language education applications, gaining over 300 million users globally, including in developed countries such as those in Europe and North America. He led the development of a non-intrusive mental state assessment system based on intelligent behavior recognition, applied in renowned hospitals and institutions. Over 10,000 clinical experiments were conducted, achieving a depression diagnosis accuracy rate exceeding 80%. In recent years, he collaborated extensively with Digital Guangdong on emergency response systems, effectively constructing a real-time, reliable, seamless human-machine-object information interaction and adaptive collaboration system. This effort significantly improved the ability of emergency personnel to collaborate during disasters involving road blockages, network outages, and power failures, and supported 94,000 natural disaster defenses in Guangdong Province, saving an estimated 9 billion RMB in economic losses.

Crowd Computing, Cyber-Physical Systems, Emotional Intelligence Computing

Professor, School of Medical Technology, Beijing Institute of Technology, Nov 2022 – Present

Professor, Sun Yat-sen University, Aug 2021 – Oct 2022

Professor, Lanzhou University, Jun 2018 – July 2021

Distinguished Researcher, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Jan 2016 – May 2018

National Natural Science Second Prize

Provincial Natural Science Grand Prize, 2023

Ministry of Education-Huawei "Intelligent Base" Pioneer Teacher Award, 2022

[1]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu. A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, doi: 10.1109/TPAMI.2021.3092833.

[2]Shihao Xu, Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu. Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition. IEEE Transactions on Multimedia, 2022 doi: 10.1109/TMM.2021.3129616.

[3]Zhaolong Ning, Peiran Dong, Xiaojie Wang, Xiping Hu, Lei Guo, Bin Hu, Yi Guo, Tie Qiu, RY Kwok. Mobile edge computing enabled 5G health monitoring for Internet of medical things: A decentralized game theoretic approach. IEEE Journal on Selected Areas in Communications, vol. 39, no. 2, pp. 463-478, Feb. 2021, doi: 10.1109/JSAC.2020.3020645.

[4]Wei Shao, Zhiyang You, Lesheng Liang, Xiping Hu, Chengming Li, Wei Wang, Bin Hu. A Multi-Modal Gait Analysis-Based Detection System of the Risk of Depression. IEEE Journal of Biomedical and Health Informatics, 2021, 26(10): 4859-4868.doi: 10.1109/JBHI.2021.3122299.

[5] Yan Tang, Xingming Zhang, Xiping Hu, Siqi Wang, Haoxiang Wang, Facial Expression Recognition Using Frequency Neural Network, in IEEE Transactions on Image Processing, vol. 30, pp. 444-457, 2021, doi: 10.1109/TIP.2020.3037467.

[6] Hanshu Cai, Zhidiao Qu, Zhe Li, Yi Zhang, Xiping Hu, Bin Hu. Feature-Level Fusion Approaches Based on Multimodal EEG Data for Depression Recognition. Information Fusion. Vol 59, pp. 127–138, 2020, doi:doi.org/10.1016/j.inffus.2020.01.008

[7] Shihao Xu, Haocong Rao, Hong Peng, Xin Jiang, Yi Guo, Xiping Hu, Bin Hu. Attention based Multi-level Co-occurrence Graph Convolutional LSTM for 3D Action Recognition.” IEEE Internet of Things Journal.2020. 10.1109/JIOT.2020.3042986.

[8] Fan Yang, Qilu Wu, Xiping Hu, Jiancong Ye, Yuting Yan, Haocong Rao, Rong Ma, Bin Hu. Internet of Things Enabled Data Fusion Method for Sleep Healthcare Applications. IEEE Internet of Things Journal. 2020. doi: 10.1109/JIOT.2021.3067905.

[9] Jiao Zhang , Xiping Hu, Zhaolong Ning , Edith C.-H. Ngai , Li Zhou , Jibo Wei , Jun Cheng , Bin Hu. Energy-latency Trade-off for Energy-aware Offloading in Mobile Edge Computing Networks. IEEE Internet of Things Journal. Volume: 5 , Issue: 4 , Aug. 2018. DOI: 10.1109/JIOT.2017.2786343

[10] Xiping Hu, Jun Cheng, Mengchu Zhou, Bin Hu, Xin Jiang, Yi Guo, Kun Bai, Fei Wang. Emotion-Aware Cognitive System in Multi-channel Cognitive Radio Ad Hoc Networks. IEEE Communications Magazine, vol.56, no.4,2018. doi:10.1109/MCOM.2018.1700728

[11]Haifeng Lu, Xiping Hu, Bin Hu. “See Your Emotion from Gait Using Unlabeled Skeleton Data.”In Proceedings of the AAAI Conference on Artificial Intelligence 2023.

[12] Chenwei Zhang，Yuxuan Hu, Min Yang, Chengming Li, Xiping Hu. “Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition.”In Proceedings of the ACM MM 2023.

[13]Haocong Rao, Shihao Xu, Xiping Hu, Bin Hu. “Multi-level graph encoding with structural-collaborative relation learning for skeleton-based person re-identification.”In Proceedings of the Thirty International Joint Conference on Artificial Intelligence(IJCAI) 2021.

[14]Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu. “SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification.”In Proc. ACM Multimedia，2021.

[15]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu.. “Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification.” In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 1:898–905.

[16]Wang, Siqi, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, and Fei Wang.. “Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios.” Proceedings of the AAAI Conference on Artificial Intelligence 33 (1): 5313–20. 2019.

[17]Yanxiang Guo, Xiaoyi Yang, Jiao Zhang, Chunbin Zhong, Yilong Li, Xiping Hu, Bin Hu, Jun Cheng, Zhaolong Ning. “Poster: emotion-aware smart tips for healthy and happy sleep.” MobiCom’17, October 16-20, 2017.

[18]Xiping Hu , Kun Bai , Jun Cheng , Jun-qi Deng , Yanxiang Guo , Bin Hu， Arun Sai Krishnan , Fei Wang . “MeDJ: Multidimensional Emotion-aware Music Delivery for Adolescent.” International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, 2017.

[19]Xiping Hu, Jun-qi Deng, Wenyan Hu, Georgios Fotopoulos, Edith Ngai, Zhengguo Sheng, Min Liang, Xitong Li, Victor C. M. Leung, Sidney Fels. “SAfeDJ community: Situation-aware in-car music delivery for safe driving.” Proceedings of the 20th annual international conference on Mobile computing and networking

[20]Shihao Xu, Haocong Rao, Xiping Hu, Bin Hu, “Multi-Level Co-Occurrence Graph Convolutional LSTM for Skeleton-Based Action Recognition.” 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM), 2021.(Best Paper Award)