Professor Department of Computer Science and Engineering   Research Group

Dr. Qi Hao is an professor in computer science and engineering at Southern University of Science and Technology. He is an expert in intelligent sensing and unmanned autonomous systems. His research areas include bionic intelligent sensor design, intelligent sensing, machine learning, and unmanned autonomous systems. He received the Ph.D degree from Duke Univ., Durham, NC, USA in 2006, and B.E. and M.E. degrees from Shanghai Jiao Tong Univ., China in 1994 and 1997, respectively, all in Electrical and Computer Engineering. His postdoctoral training was achieved in the Center for Visualization and Virtual Environment at The Univ. of Kentucky. He was an assistant professor in the Dept. of Electrical and Computer Engineering at The Univ. of Alabama, Tuscaloosa, AL, USA. He has published 44 SCI journal papers and 70 EI conference proceedings,and he has 20 national patent. He is the co-editor of one book in intelligent sensor networks. After joining the SUSTech, he was PI of NSFC, Shenzhen Science and Technology Innovation Committee, the Nanshan District Pilot Team, SUSTech-Haylion Center for Intelligent Transportation, Intel Master Research Agreement Project, and two Education Reform Project from Guangdong province and Shenzhen city. He has severed as a panelist for US NSF panels and US department of energy ARPA-e program.

Personal Profile

Hao Qi

Associate Professor & Deputy Director of Department of Computer Science and Engineering of Southern University of Science and Technology

Executive Director of SUSTech & Haylion Intelligent Transportation Center

Head of SUSTech & FengXiangBiao ICV Education Joint Laboratory

研究方向

仿生智能传感器设计、智能感知、机器学习、与无人自主系统

 

Educational Experience

2001/09 — 2006/05  Duke University,ECE,PhD

1994/09 — 1997/04  Shanghai Jiaotong University,EE,Master

1990/09 — 1994/07  Shanghai Jiaotong University,EE,Bachelor

Professional Experience:

2014/05— now, Associate professor, Computer Science and Engineering, South University of Science and Technology

2007/08— 2014/05, Assistant professor, Electronic and Computer Engineering, University of Alabama

2006/07— 2007/07, Postdoctoral fellow, Center for visualization and virtual environments, University of Kentucky

1998/08 — 2001/08,Research Assistant, Data Storage Institute,Singapore

1997/05 — 1998/06, Engineer, Shanghai Electric Tool Research Institute

Honors and Awards

  1. IEEE Conference on Multi-Sensor Fusion and Integration for Intelligent Systems,"Best Paper Finalist," 2012
  2. IEEE Conference on Sensors, "Best Student Paper (instructor)",2013
  3. IEEE Conference on Multi-Sensor Fusion and Integration for Intelligent Systems,"Best Paper Finalist," 2016
  4. IEEE Conference on Multi-Sensor Fusion and Integration for Intelligent Systems,"Best Paper Finalist," 2016
  5. IEEE Conference on Sensors, "3rd Place Poster Student Paper Award (instructor)",2018
  6. IEEE International Conference on Communications, "Best Paper", 2020
  7. IEEE Conference on Parallel and Distributed Processing with Applications
  8. Shenzhen Overseas High-level Talents "Peacock Plan" Category C, 2017
  9. Advanced Educators in Shenzhen, 2017
  10. Outstanding Teacher of Guangdong Province, 2021
  11. Honors on campus:

(1) Outstanding College Tutor of SOUTH University of Science and Technology, 2017 to 2019

(2) The 2nd prize in South University of Science and Technology Youth Teaching Competition, 2017

(3) South University of Science and Technology Outstanding Service Award, 2017

(4) South University of Science and Technology Outstanding Research Award, 2018

(5) South University of Science and Technology Advanced Individuals from 2015 to 2020

(6) Overseas Admission Honor Award of SOUTH University of Science and Technology, 2017

(7) South University of Science and Technology Excellent Service Award, 2019

(8) South University of Science and Technology Outstanding Service Award, 2021

Representative paper:

  1. R. Han, S. Chen, S. Wang, Z. Zhang, R. Gao, Q. Hao, J. Pan, "Reinforcement learned distributed multi-robot navigation with reciprocal velocity obstacle shaped rewards," IEEE Robotics and Automation Letters, Vol.7, No.3, Jul., pp. 5896-5903, 2022. 
  2. S. Wang, R. Han, Y. Hong, Q. Hao, M. Wen, L. Musavian, S. Mumtaz, and D. W. K. Ng," Robotic wireless energy transfer in dynamic environments: system design and experimental validation," IEEE Communication Magazine, Vol.60, No.3, Mar., pp. 40-46, 2022.
  3. G. Ding, M. Zhang, E. Li, and Q. Hao, "JST: Joint self-training for unsupervised domain adaptation on 2D&3D object detection," IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, May 2022.
  4. L. Ding, D. Li, B. Liu, W. Lan, B. Bai, Q. Hao, W. Cao and K. Pei, "Capture uncertainties in deep neural networks for safe operation of autonomous driving vehicles," IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2021), New York, USA, Oct. 2021. (best paper)
  5.  K. Huang and Q. Hao, "Joint multi-object detection and tracking with camera-LiDAR Fusion for autonomous driving," IEEE International Conference on Intelligent Robots and Systems (IROS), Prague, Oct 2021.
  6. Z. Zhang, S. Wang, Y. Hong, L. Zhou, and Q. Hao, " Distributed dynamic map fusion via federated learning for intelligent networked vehicles, " IEEE International Conference on Robotics and Automation (ICRA), Xi'an, May 2021.
  7. S. Wang, M. Wen, M. Xia, R. Wang, Q. Hao, Y. Wu, “Angle aware user cooperation for secure massive MIMO in Rician fading channel," IEEE Journal on Selected Areas in Communications, vol. 38, no. 9, Jun., pp. 2182 – 2196,  2020.
  8. R. Ma, G. Lan, Q. Hao, "Enabling Cognitive Pyroelectric Infrared Sensing: From Reconfigurable Signal Conditioning to Sensor Mask Design," IEEE Transactions on Industrial Informatics, vol. 16, no. 7, Sep., pp. 4436 – 4446, 2019.
  9. S. Wang, F. Jiang, R. Ma, and Q. Hao, "Development of UAV based target tracking and recognition systems," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, Jun., pp. 3409 – 3422,  2020.
  10. F. Han, D. Li, Q. Hao, “Autonomous driving framework for bus transit systems towards operation safety and robustness”, IEEE Intelligent Transportation Systems Conference, Oct. 2019.
  11. H. Xu, G. Lan, S. Wu, Q. Hao, "Online intelligent calibration of cameras and LiDARs for autonomous driving systems," IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, Oct. 2019.
  12. R. Ma, G. Lan, Q. Hao, “Enabling cognitive pyroelectric infrared sensing: from reconfigurable signal conditioning to sensor mask design”, IEEE Transactions on Industrial Informatics, accepted, 2019.
  13. S. Wang, F. Jiang, R. Ma, and Q. Hao, “Development of UAV based target tracking and recognition systems”, IEEE Transactions on Intelligent Transportation Systems, accepted, 2019.
  14. F. Jiang, F. Navan, Q. Hao, “Design, implementation and evaluation of a neural network-based quadcopter UAV system”, IEEE Transactions on Industrial Electronics, Volume: 67, Issue: 3, pp.2076 - 2085, Mar. 2020.
  15. F. Jiang and Q. Hao, “Pavilion: bridging photo-realism and robotics,” Proc. of IEEE International Conference on Robotics and Automation (ICRA), May 2019.
  16. F. Navan, C. Lim, Q. Hao, “A reinforced fuzzy ARTMAP model for data classification”, International Journal of Machine Learning and Cybernetics, Jun., pp 1–13, 2018. 
  17. Q. Miao, F. Hu, Q. Hao, “Deep learning for intelligent wireless networks: a comprehensive survey”, IEEE Communications Surveys & Tutorials, vol. 20, no. 4, Jun., pp.2595-2621, 2018.
  18. R. Ma, Q. Hao, X. Hu, and C. Wang, “Space coding schemes for multiple human localization with fiber-optic sensors”, IEEE Sensors Journal, vol. 18, no. 11, Jun., pp.4643-4653,  2018.
  19. R. Ma, F. Hu, and Q. Hao, “Active compressive sensing via pyroelectric infrared sensor for human situation recognition,” IEEE Trans. Syst., Man, and Cyber.: Systems, vol. 47, no. 12, Dec., pp. 3340-3350,  2017.
  20. J. Lu, T. Zhang, Q. Sun, F. Hao, and Q. Hao, “Binary compressive tracking,” IEEE Trans. on Aerospace and Electronic Systems, vol. 53, no. 4, Aug., pp.1755-1768, 2017.
  21. F. Hu, and Q. Hao*, “Cyber-physical system with virtual reality for intelligent motion recognition and training,” IEEE Trans. Syst., Man, and Cyber: Systems, vol. 47, no. 2, Feb., pp. 347-363, Feb. 2017.
  22. J. Lu, T. Zhang, Fei Hu, and Q. Hao, “Preprocessing design in pyroelectric infrared sensor-based human-tracking system: on sensor selection and calibration,” IEEE Trans. Syst., Man, and Cyber.:Systems, vol. 47, no.2, Feb. pp. 263-275, 2017.
  23. F. Hu, Y. Lu, A. V. Vasilakos, Q. Hao, R. Ma, Y. Patil, T. Zhang, J. Lu, X. Li, N. N. Xiong, “Robust cyber-physical systems: concept, models, and implementation,” Future Generation Computer Systems, vol. 16, no. 4, Mar., pp. 449-475, 2016.
  24. B. Zan, F. Hu, K. Bo, and Q. Hao, “Dual-resolution friend locator system with privacy enhancement through polygon decomposition,” IEEE Trans. Vehicular Technol, vol. 65, no. 2, Feb.,  pp. 837-847, 2016.
  25. Q. Hao, “Binary sensing and perception for human behavior study,” Proc. of IEEE ChinaSIP, Chengdu, Jul., pp. 368-372. 2015.
  26. F. Hu, Q. Hao, and K. Bo, “A survey on software defined networking (SDN) and openflow: from concept to implementation,” IEEE Comm. Surveys and Tutorials, vol. 16, no. 4, Nov., pp. 2181-2206, 2014.
  27. F. Hu, Q. Hao, and K. Bo, “A survey on software defined networking (SDN) and openflow: from concept to implementation,” IEEE Comm. Surveys and Tutorials, vol. 16, no. 4, Nov., pp. 2181-2206, 2014.
  28. Q. Sun, F. Hu, and Q. Hao, “Human movement modeling and activity perception based on fiber-optic sensing system,” IEEE Trans. Human-Machine Systems, vol. 44, no. 6, Dec., pp. 743-754,  2014.
  29. Q. Sun, F. Hu, and Q. Hao, “Mobile targets scenario recognition via low-cost pyroelectric sensing system: towards a context-enhanced accurate identification,” IEEE Trans. on Systems, Man, and Cybernetics, vol. 44, no. 3, Mar., pp. 375-384, 2014.
  30. Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G. Hassebrook, “Robust active stereo vision using Kullback-Leibler divergence," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, Mar.,  pp. 548-563, 2012.
  31. Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G. Hassebrook, “Period Coded Phase Shifting Strategy for Real–time 3-D Structured Light Illumination,” IEEE Trans. on Image Processing, vol. 20, no. 11, pp. Nov., 3001-3013, 2011.
  32. F. Hu, Q. Hao, M. Lukowiak, Q. Sun, K. Wilhelm, S. Radziszowski, and Y. Wu, “Trustworthy data collection from implantable medical devices via high-speed security implementation based on IEEE1363,” IEEE Trans. on Information Technology in Biomedicine, vol.14, no. 6, Nov.,  pp. 1397-1404, 2010.
  33. K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Maximum SNR pattern strategy for phase shifting methods in structured light illumination,” J. Opt. Soc. Am. A, vol. 27, no. 9, Sept.,  pp. 1962-1971, 2010.

Projects:

1.National Science Foundation of China (NSFC), "Intelligent Binary Sensing for Multiple Human Localization, Motion Capture and Analysis," 2017~2020, PI;

2. Shenzhen Nanshan District Pilot Team, "Research and Industrialization of next Generation Intelligent ULTRA HD Camera Array System," 2018~2022, PI;

3.Shenzhen Hailiang Technology Co., LTD., "Hailiang Intelligent Transportation Research Center of South University of Science and Technology," 2018~2020, PI;

4.Intel Co., "Development of Open Datasets for Shenzhen Autonomous Public Transportation with Smart Annotations and Cyber-Physical Benchmarks," 2019~2021, PI;

5.  National Natural Science Foundation of China robotics Basic Research Center in Shenzhen, "Analysis and Research on key Basic Robot Components and Basic Software Core Technology," 2019, Co-PI;

6.  Shenzhen Weathervane Education Resource Technology Co., LTD., "South University of Science and Technology Computer Department Weathervane Intelligent Network Alliance Automotive International Engineering Education Joint Laboratory," 2020~2022, PI;

7.  Huawei 2012 Research Institute, "Autonomous Driving System Safety Decision and Planning Research," 2020~2022, PI;

8.  Special Fund for High Level University, "Public Research Platform for AI and Autonomous Driving of College of Engineering," 2019~2021, PI;

9.  Key Project of Fundamental Research of Shenzhen Municipality, "Research of Key Techniques of dataset and simulation platform integration for Unmanned Autonomous Driving", 2020~2023, PI;

10、Huawei 2012 Research Institute, "Simulation Technology for Autonomous Driving," 2021-2026, PI

 

 

Research

Intelligent Sensing, Machine Learning, Unmanned Autonomous Systems.


Teaching

Speaker Courses: Machine Learning, Intelligent Robots


Publications Read More

Published journal papers:

[44] R. Han, S. Wang, S. Wang, Z. Zhang, Q. Zhang, Y. C. Eldar, Q. Hao, and J. Pan, “RDA: An Accelerated Collision-free Motion Planner for Autonomous Navigation in Cluttered Environments”, IEEE Robotics and Automation Letters, Jan. 2023. (accepted) (correspondence author)

[43] S. Wang, C. Li, D. W. K. Ng, Y. C. Eldar, H. V. Poor, Q. Hao, and C. Xu, “Federated deep learning meets autonomous vehicle perception: Design and verification,” IEEE Magazine on Network, Dec. 2022.(correspondence author)

[42] G. Lan, Y. Wu, F. Hu, Q. Hao, “Vision-based Human Pose Estimation via Deep Learning: A Survey, ” IEEE Transactions on Human-Machine Systems (accepted) (correspondence author)

[41] R. Han, S. Chen, S. Wang, Z. Zhang, R. Gao, Q. Hao, J. Pan, “Reinforcement learned distributed multi-robot navigation with reciprocal velocity obstacle shaped rewards,” IEEE Robotics and Automation Letters, Vol.7, No.3, Jul., pp. 5896-5903, 2022. (correspondence author)

[40] X. Zheng, R. Ma, R. Gao, Q. Hao, “Phase-SLAM: Phase based simultaneous localization and mapping for mobile structured light illumination systems,” IEEE Robotics and Automation Letters, Mar. 2022. (correspondence author)

[39] S. Wang, R. Han, Y. Hong, Q. Hao, M. Wen, L. Musavian, S. Mumtaz, and D. W. K. Ng,” Robotic wireless energy transfer in dynamic environments: system design and experimental validation,” IEEE Communication Magazine, Vol.60, No.3, Mar., pp. 40-46, 2022.

[38] S. Wang, Y. Hong, R. Wang, Q. Hao, Y. Wu, D. W. K. Ng, “Edge Federated Learning Via Unit-Modulus Over-The-Air Computation,” IEEE Transactions on Communications, Feb. 2021. (correspondence author)

[37] S. Zhang, L. Zhao, S. Huang, Q. Hao, Menglong Ye, “A template-based 3D reconstruction of colon structures and textures from stereo colonoscopic images,” IEEE Transactions on Medical Robotics and Bionics, vol. 3, no. 1, Dec., pp. 85 – 95, 2020.(Correspondence author)

[36] L. Zhou, Y. Hong, S. Wang, R. Han, D. Li, R. Wang, and Q. Hao, “Learning centric wireless resource allocation for edge computing: algorithm and experiment,” IEEE Transactions on Vehicular Technology, vol. 70, no. 1, Dec., pp. 1035 – 1040, 2020. (Q1, Cited 2)

[35] S. Wang, M. Wen, M. Xia, R. Wang, Q. Hao, Y. Wu, “Angle aware user cooperation for secure massive MIMO in Rician fading channel,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 9, Jun., pp. 2182 – 2196, 2020. (Q1, Cited 2)

[34] R. Ma, G. Lan, Q. Hao, “Enabling cognitive pyroelectric infrared sensing: from reconfigurable signal conditioning to sensor mask design,” IEEE Transactions on Industrial Informatics, vol. 16, no. 7, Jul, 2020, Sep., pp. 4436 – 4446, 2019. (Q1, Cited 20) (Correspondence author)

[33] S. Wang, F. Jiang, R. Ma, and Q. Hao, “Development of UAV based target tracking and recognition systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, Jun., pp. 3409 – 3422, 2020. (Q1, Cited 3) (Correspondence author)

[32] F. Navan, Y. Shi, C. Lim, Q. Hao, C. Tan, “Feature selection based on brain storm optimization for data classification,” Applied Soft Computing Journal, vol. 80, Jul., pp. 761-775, 2019.(Q1, Cited 20)

[31] F. Jiang, F. Navan, Q. Hao, “Design, implementation and evaluation of a neural network based quadcopter UAV system,” IEEE Transactions on Industrial Electronics, vol. 67, no. 3, Mar., pp. 2076 – 2085, 2019. (Q1, Cited 9) (Correspondence Author)

[30] F. Navan, C. Lim, Q. Hao, “A reinforced fuzzy ARTMAP model for data classification,” International Journal of Machine Learning and Cybernetics, Jun., pp. 1–13, 2018. (Q1, Cited 14)(Correspondence author)

[29] Q. Miao, F. Hu, Q. Hao, “Deep learning for intelligent wireless networks: a comprehensive survey,” IEEE Communications Surveys & Tutorials, vol. 20 , no. 4, Jun., pp. 2595 – 2621, 2018. (Q1, Cited 196) (Correspondence author)

 [28] R. Ma, Q. Hao, X. Hu, and C. Wang, “Space coding schemes for multiple human localization with Fiber-optic sensors,” IEEE Sensors Journal, vol. 12, no. 8, Mar., pp. 4643 – 4653, Mar. 2018. (Q2, Cited 2) (Correspondence author)

[27] J. Lu, T. Zhang, Q. Sun, F. Hao, and Q. Hao, “Binary compressive tracking,” IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 4, Aug., pp.1755 – 1768, 2017.  (Q2, Cited 9)

[26] R. Ma, F. Hu, and Q. Hao, “Active compressive sensing via pyroelectric infrared sensor for human situation recognition,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 12, Dec., 3340 – 3350, 2017.  (Q1, Cited 23)

[25] F. Hu, and Q. Hao, “Cyber-physical system with virtual reality for intelligent motion recognition and training,” IEEE Transactions Systems, Man, and Cyber: Systems, vol. 47, no. 2, Feb., pp. 347-363, 2017.  (Q1, Cited 26)

[24] J. Lu, T. Zhang, Fei Hu, and Q. Hao, “Preprocessing design in pyroelectric infrared sensor-based human-tracking system: on sensor selection and calibration,” IEEE Transactions Systems, Man, and Cyber.:Systems, vol. 47, no.2, Feb., pp. 263-275, 2017.  (Q1, Cited 31)

[23] F. Hu, Y. Lu, A. V. Vasilakos, Q. Hao, R. Ma, Y. Patil, T. Zhang, J. Lu, X. Li, N. N. Xiong, “Robust cyber-physical systems: concept, models, and implementation,” Future Generation Computer Systems, vol. 16, no. 4, Mar., pp. 449-475, 2016. (Q1, Cited 132)

[22] B. Zan, F. Hu, K. Bo, and Q. Hao, “Dual-resolution friend locator system with privacy enhancement through polygon decomposition,” IEEE Trans. Vehicular Technol, vol. 65, no. 2, Feb., pp. 837-847, 2016. (Q1, Cited 2)

[21] F. Hu, Q. Hao, and K. Bo, “A survey on software defined networking (SDN) and openflow: from concept to implementation,” IEEE Comm. Surveys and Tutorials, vol. 16, no. 4, Nov., pp. 2181-2206, 2014. (Q1, Cited 602)

[20] Q. Sun, F. Hu, and Q. Hao, “Human movement modeling and activity perception based on fiber-optic sensing system,” IEEE Trans. Human-Machine Systems, vol. 44, no. 6, Dec., pp. 743-754, 2014.  (Q2, Cited 19)

[19] Q. Sun, F. Hu, and Q. Hao, “Mobile targets scenario recognition via low-cost pyroelectric sensing system: towards a context-enhanced accurate identification,” IEEE Trans. on Systems, Man, and Cybernetics, vol. 44, no. 3, Mar., pp. 375-384, 2014.  (Q1, Cited 49)

[18] Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G. Hassebrook, “Robust active stereo vision using Kullback-Leibler divergence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, Mar., pp. 548-563, 2012. (Q1, Cited 65)

[17] Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G.Hassebrook, “Period coded phase shifting strategy for real–time 3-D structured light illumination,” IEEE Transactions on Image Processing, vol. 20, no. 11, Nov., pp. 3001-3013, 2011. (Q1, Cited 66)

[16] F. Hu, Q. Hao, M.Lukowiak, Q. Sun, K. Wilhelm, S. Radziszowski, and Y. Wu,  “Trustworthy data collection from implantable medical devices via high-speed security implementation based on IEEE1363,” IEEE Transactions on Information Technology in Biomedicine, vol.14, no. 6, Nov., pp. 1397-1404, 2010. (Q1, Cited 26) (Correspondence author)

[15] K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Maximum SNR pattern strategy for phase shifting methods in structured light illumination,” Journal of the Optical Society of America A, vol. 27, no. 9, Sept., pp. 1962-1971, 2010. (Q3, Cited 44)

[14] Y. Wang, Q. Hao, A. Fatehpuria, L. G. Hassebrook, and D. L. Lau, “Quality and matching performance analysis of three-dimensional unraveled fingerprints,” Optical Engineering, vol. 49, no. 7, Jul., pp. 077202(1-10), 2010. (Q3, Cited 5)

[13] K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Dual-frequency pattern scheme for high-speed 3-D shape measurement,” Optics Express, vol. 18, no. 5, Mar., pp. 5229-5244, 2010. (Q1, Cited 277)

[12] K. Liu, Y.Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Gamma model and its analysis for phase measuring profilometry,” Journal of the Optical Society of America A, vol. 27, no. 3, Feb., pp. 553-562, 2010. (Q3, Cited 156)

[11] Q.Hao, F. Hu, and Y. Xiao, “Multiple human tracking and identification with wireless distributed pyroelectric sensor systems,” IEEE Systems Journal, vol. 3, no. 4, Dec., pp. 428-439, 2009. (Q1, Cited 143)

[10] F. Hu, S. Lakdawala, Q. Hao, and M. Qiu, “Low-power, intelligent sensor hardware interface for medical data pre-processing,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, Jul., pp. 656-663, 2009. (Q1, Cited 26)

[9] F. Hu, Y. Xiao, and Q. Hao, “Congestion-aware, loss-resilient bio-monitoring sensor networking for mobile health applications,” I IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, May, pp. 450-465, 2009. (Q1, Cited 107)

[8] J.-S. Fang, Q. Hao, D. J. Brady, B. D. Guenther, and K. Y. Hsu, “A pyroelectric infrared biometric system for real-time walker recognition by use of a maximum likelihood principal components estimation (MLPCE) method,” Optics Express, vol. 15, no. 6, Mar., pp. 3271-3284, 2007.  (Correspondence author)(Q1, Cited 49)

[7] Q. Hao, D. J. Brady, B. D. Guenther, J. Burchett, M. Shankar, and S. Feller, “Human tracking with wireless distributed pyroelectric sensors,” IEEE Sensors Journal, vol. 6, no. 6, Dec., pp. 1683-1696, 2006. (Q2, Cited 200)

[6] J.-S. Fang, Q. Hao, D. J. Brady, B. D. Guenther, and K. Y. Hsu, “Real-time human identification using a pyroelectric infrared detector array and hidden Markov models,” Optics Express, vol. 14, no. 15, Jul., pp. 6643-6658, 2006.(Q2, Cited 86)

[5] J.-S. Fang, Q. Hao, D. J. Brady, M. Shankar, B. D. Guenther, N. P. Pitsianis, and K. Y. Hsu, “Path-dependent human identification using a pyroelectric infrared sensor and Fresnel lens arrays,” Optics Express, vol. 14, no. 2, Jan., pp. 609-624, 2006. (Q1, Cited 104)

[4] M. Shankar, J. Burchett, Q. Hao, B. D. Guenther, and D. J. Brady, “Human-tracking systems using pyroelectric infrared detectors,” Optical Engineering, no. 45, vol. 10, Dec., pp. 106401(1-10), 2006. (Q3, Cited 147)

[3] Q. Hao, R. Cheng, G. Guo, S. Chen, and T.-S. Low, “A gradient based track-following controller optimization for hard disk drive,”IEEE Transactions on Industrial Electronics, vol. 50, no. 1, Feb., pp. 108-115, 2003. (Q1, Cited 11)

[2] G. Guo, Q. Hao, and T.-S. Low, “A dual-stage control design for high track per inch hard disk drives,” IEEE Transactions on Magnetics, vol. 37, no. 2, Mar., pp. 860-865, 2001. (Q3, Cited 50)

[1] Q. Hao, “A genetic algorithm with tabu list and sharing scheme for optimal design of electrical machines,” Electrical Machines and Power Systems, vol. 27, May, pp. 543-552, 1999. (Q4, Cited 6)

Publication of conference articles

[70] S. Zhang, L. Zhao, S. Huang, H. Wang, L. Qi, and Q. Hao,”SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty,” In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022), Singapore, September 2022.

[69] S. Wang, R. Gao, R. Han, S. Chen, C. Li, and Q. Hao,”Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex Scenes,” in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022),  Kyoto, Japan, October 2022.

[68] M. Xu, L. Zhao, S. Huang, Q. Hao, “Active SLAM in 3D deformable environments,” in Proc. (IROS 2022), Kyoto, Japan, October 2022. (Corresponding author)

[67] C. Li, D. Parker, and Q. Hao, “A Value-based Dynamic Learning Approach for Vehicle Dispatch in Ride-Sharing,” in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, Oct 2022. (Correspondence author)

[66] S. Chen, Y. Sun, D. Li, Q. Wang, Q. Hao and J. Sifakis,”Runtime safety assurance for learning-enabled control of autonomous driving vehicles,” IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, May 2022.  (Correspondence author)

[65] G. Ding, M. Zhang, E. Li, and Q. Hao, “JST: Joint self-training for unsupervised domain adaptation on 2D&3D object detection,” IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, May 2022.  (Correspondence author)

[65] S. Chen, R. Han, L. Zhao, S. Hang, Q. Hao, “Multi-robot feature-based slam using submap joining,” Australasian Conference on Robotics and Automation (ACRA), Dec. 2021.

[64] L. Ding, D. Li, B. Liu, W. Lan, B. Bai, Q. Hao, W. Cao and K. Pei, “Capture uncertainties in deep neural networks for safe operation of autonomous driving vehicles,” IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2021), New York, USA, Oct. 2021. (best paper) (Correspondence author)

[63] R. Ma and Q. Hao, “CS-Fnet: A Compressive sampling frequency neural network for simultaneous image compression and recognition,” IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Bonn, Nov. 2021. (Correspondence author)

[62] R. Ma, Y. Ding, and Q. Hao, “Compressive detection for camera array images,” IEEE Conference on Sensors, Sydney, Oct. 2021. (Corresponding author)

[61] K. Huang and Q. Hao, “Joint multi-object detection and tracking with camera-LiDAR Fusion for autonomous driving,” IEEE International Conference on Intelligent Robots and Systems (IROS), Prague, Oct 2021. (Correspondence author)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     

[60] X. Zheng, R. Gao, R. Ma, and Q. Hao, “Phase-SLAM: mobile structured light illumination for full body 3D scanning,” IEEE International Conference on Intelligent Robots and Systems (IROS), Prague, Oct 2021. (Correspondence author)

[59] C. Li, D. Parker, and Q. Hao, “Vehicle dispatch in on-demand ride-sharing with stochastic travel time,” IEEE International Conference on Intelligent Robots and Systems (IROS), Prague, Oct 2021. (Correspondence author)

[58] M. Xu, Y. Song, Y. Chen, S. Huang, and Q. Hao, “Invariant EKF based 2D active slam with exploration task,” IEEE International Conference on Robotics and Automation (ICRA), Xi’an, May 2021.

[57] S. Zhang, L. Zhao, S. Huang, R. Ma, B. Hu, Q. Hao, “3D Reconstruction of deformable colon structures based on preoperative model and deep neural network”, IEEE International Conference on Robotics and Automation (ICRA), Xi’an, May 2021. (Correspondence author)

[56] Z. Zhang, S. Wang, Y. Hong, L. Zhou, and Q. Hao, ” Distributed dynamic map fusion via federated learning for intelligent networked vehicles, ” IEEE International Conference on Robotics and Automation (ICRA), Xi’an, May 2021. (Correspondence author)

[55] C. Li, D. Parker, and Q. Hao, “Optimal online dispatching for high-capacity shared autonomous mobility-on-demand systems,” IEEE International Conference on Robotics and Automation (ICRA), Xian, May 2021. (Correspondence author)

[54] R. Han, S. Chen, Q. Hao, “A distributed range-only collision avoidance approach for low-cost large-scale multi-robot systems,” International Conference on Intelligent Robots and Systems (IROS), Nov. 2020.(Correspondence author)

[53] S. Wang, R. Wang, Q. Hao, Y. Wu, H. Poor, “Learning centric power allocation for edge intelligence,” IEEE International Conference on Communications (ICC), Jun. 2020. (best paper) (Cited 7)

[52] D. Li, Y. Wu, B. Bai, Q. Hao, “Behavior and interaction-aware motion planning for autonomous driving vehicles based on hierarchical intention and motion prediction,” IEEE Intelligent Transportation Systems Conference (ITSC), Jun. 2020. (Correspondence author)

[51] E Li, S. Wang, C. Li, D. Li, X. Wu, Q. Hao, “SUSTech POINTS: a portable 3d point cloud interactive annotation platform system,” IEEE Intelligent Vehicles Symposium (IV), Feb. 2020. (Correspondence author)

[50] Y. Sun, D. Li, X. Wu and Q. Hao, “Visual perception based situation analysis of traffic scenes for autonomous driving applications,” IEEE Intelligent Transportation Systems Conference (ITSC), May. 2020. (Correspondence author)

[49] R. Han, S. Chen, Q. Hao, “Cooperative multi-robot navigation in dynamic environment with deep reinforcement learning,” IEEE International Conference on Robotics and Automation (ICRA), Paris, France, Jan. 2020. (Correspondence author)

[48] F. Han, D. Li, Q. Hao, “Autonomous driving framework for bus transit systems towards operation safety and robustness,” IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, Nov. 2019. (Correspondence author)

[47] H. Xu, G. Lan, S. Wu, Q. Hao, “Online intelligent calibration of cameras and LiDARs for autonomous driving systems,” IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, Oct. 2019. (Cited 1)

[46] F. Jiang and Q. Hao, “Pavilion: bridging photo-realism and robotics,” IEEE International Conference on Robotics and Automation (ICRA), Montreal, QC, May, 2019. (Cited 1) (Correspondence author)

[45] G. Liu, R. Ma, Q. Hao, “A reinforcement learning based design of compressive sensing systems for human activity recognition,” IEEE Conference on Sensors, New Delhi, Oct. 2018 (best student paper 3rd prize). (Correspondence author)

[44] S. Zhang, R. Han, W. Huang, S. Wang, Q. Hao, “Linear Bayesian filter based low-cost UWB systems for indoor mobile robot localization,” IEEE Conference on Sensors, New Delhi, Oct. 2018. (Cited 1) (Correspondence author)

[43] F. Navan, B. Zhang, R. Ma, Q. Hao, “Anomaly detection and condition monitoring of UAV motors and propellers”, IEEE Conference on Sensors, New Delhi, Oct. 2018. (Cited 4) (Correspondence author)

[42] F. Navan, B. Zhang, R. Ma, Q. Hao, “Non-intrusive human motion recognition using distributed sparse sensors and the genetic algorithm based neural network”, IEEE Conference on Sensors, New Delhi, Oct. 2018. (Cited 10) (Correspondence author)

[41] R. Ma, G. Liu, Q. Hao, and C. Wang ,”Design of compressive imaging masks for human activity perception based on binary convolutional neural network”, IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Daegu, Nov. 2017. (Cited 10) (Correspondence author)

[40] Z. Luo, S. Wang, Q. Hao, and Z. Li, “Autonomous 3D modeling for robot arm based scanning,” IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Daegu, Nov. 2017. (Cited 1) (Correspondence author)

[39] S. Zhang, S. Wang, C. Li, G. Liu, and Q. Hao, “An integrated UAV navigation system based on geo-registered 3D point cloud,” IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Daegu, Nov. 2017. (Cited 1) (Correspondence author)

[38] R. Ma, Q. Hao, and C. Wang, “Smart microphone array design for speech enhancement in financial VR and AR,” IEEE Conference on Sensors, Glasgow, Nov. 2017. (Cited 1) (Correspondence author)

[37] G. Lan, J. Liang, and Q. Hao, “Development of a smart floor for target localization with bayesian binary sensing,” IEEE Conference on Advanced Information Networking and Applications (AINA), Taipei, Mar.2017. (Cited 4) (Correspondence author)

[36] G. Liu, J. Liang, G. Lan, Q. Hao, “Convolution neutral network enhanced binary sensor network for human activity recognition,” IEEE Conference on Sensors, Orlando, Nov. 2016. (Cited 11) (Correspondence author)

[35] G. Lan, Z. Luo, and Q. Hao, “Development of a virtual reality teleconference system using distributed depth sensors,” IEEE Conference on Computer and Communications (ICC), Chengdu, Oct. 2016. (Cited 7) (Correspondence author)

[34] T. Xiang, F. Jiang, J. Sun, G. Liu, G. Lan, Q. Hao, and C. Wang, “UAV based target tracking and recognition,” IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Baden-Baden, Nov. 2016 (Finalist for the best paper). (Cited 7) (Correspondence author)

[33] T. Xiang, F. Jiang, Q. Hao, and C. Wang, “Adaptive flight control for quadrotor UAVs with dynamic inversion and neural networks,” IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Baden-Baden, Nov. 2016 (Finalist for the best paper). (Cited 5) (Correspondence author)

[32] G. Lan, J. Sun, C. Li, Z. Ou, Z. Luo, J. Liang, and Q. Hao, “Development of UAV based virtual reality systems,” IEEE Conference on Multi-Sensor Fusion and Integration (MFI), Baden-Baden, Nov. 2016. (Cited 5) (Correspondence author)

[31] G. Lan, Y. Bu, J. Liang, and Q. Hao, “Action synchronization between human and UAV robotic arms for remote operation,” IEEE Conference on Mechatronics and Automation (ICMA), Harbin, Sept. 2016. (Cited 5) (Correspondence author)

[30] G. Lan, Q. Hao, X. Hu, “A Bayesian approach for target localization with binary sensor networks,” International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, Nov. 2015. (Cited 6) (Correspondence author)

[29] Q. Hao, “Binary sensing and perception for human behavior study,” IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), Chengdu, Jul. 2015.

[28] R. Ma, Q. Hao, and X. Li, “Active sensing of indoor human scenarios through mobile pyroelectric infrared sensors,” IEEE Conference on Sensors, Baltimore, MD, Oct. 2013. (Cited 2) (Correspondence author)

[27] J. Lu, J. Gong, Q. Hao, and F. Hu, “Multi-agent based wireless pyroelectric infrared sensor networks for multi-human tracking and self-calibration,” IEEE Conference on Sensors, Baltimore, MD, Oct. 2013 (best student paper). (Cited 16) (Correspondence author)

[26] R. Ma and Q. Hao, “A wireless laser sensor web for human gait disorder recognition based on the Buon’s needle model,” IEEE Conference on Sensors, Baltimore, MD, Oct. 2013. (Cited 1) (Correspondence author)

[25] Q. Sun, R. Ma, Q. Hao, and F. Hu, “Space encoding based human activity modeling and situation perception,” IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support , pp. 186-189, San Diego, CA, Mar. 2013 (CogSIMA). (Cited 9) (Correspondence author)

[24] Q. Hao “Cognitive sensing for distributed behavioral biometrics,” IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, pp. 101-104, San Diego, CA, Mar. 2013. (Cited 9) (Correspondence author)

[23] Q. Hao, “An integral and differential geometric approach to behavioral information acquisition and integration via binary sensor networks,” IEEE Conference on Sensors (CogSIMA)., pp. 834-837, Taipei, Oct. 2012. (Cited 9) (Correspondence author)

[22] J. Gong, L. Zhao, Q. Hao, F. Hu, and X. Hong, “A reconfigurable hardware platform for cognitive sensor networks towards behavioral biometrics,” IEEE Conference on Sensors, pp. 838-841, Taipei, Oct. 2012, (Cited 4) (Correspondence author)

[21] R. Ma and Q. Hao, “Buffon’s needle model based walker recognition with distributed binary sensor networks,” IEEE Conference on Multiple Sensor Fusion and Integration (MFI), pp. 120-125, Hamburg, Sep. 2012, (Cited 14) (Correspondence author)

[20] J. Lu, J. Gong, Q. Hao, and F. Hu,”Space encoding based compressive multiple human tracking with distributed binary pyroelectric infrared sensor networks,” IEEE Conference on Multiple Sensor Fusion and Integration (MFI), Sep. 2012, pp. 180-185 (Finalist of the best paper). (Cited 32) (Correspondence author)

[19] T. Yue, Q. Hao, and D. Brady, “Distributed binary geometric sensor arrays for low-data-throughput human gait biometrics,” IEEE Workshop on Sensor Array Multichannel Signal Processing (SAM), pp. 465-468, Hoboken, NJ, June, 2012. (Cited 10) (Correspondence author)

[18] F. Hu, Q. Hao, and D. McCallum, “Multi-dimensional tele-healthcare engineering undergraduate education via Building-Block-based medical sensor labs,” Annual Conference and Exposition, Conference Proceedings (ASEE), June, 2011.

[17] K. Vu, R. Zheng, and Q. Hao, “Multi-target tracking in distributed active sensor networks,” IEEE Military Communications Conference (MILCOM), pp. 1044-1049, San Jose, CA, Nov. 2010. (Cited 10)

[16] Q. Hao and F. Hu, “A design of compressive EEG sensors,” IEEE Conference on Sensors, Nov. 2010, pp. 318-322.

[15] Q. Hao, F. Hu, and J. Lu, “Distributed multiple human tracking with wireless binary pyroelectric (PIR) sensor networks,” IEEE Conference on Sensors, pp. 946-950, Kona, HI, Nov. 2010. (Cited 39)

[14] F. Hu, Q. Sun, and Q. Hao, “Mobile targets region-of-interest via distributed pyroelectric sensor network: towards a robust, real-time context reasoning,” IEEE Conference on Sensors, pp. 1832-1836, Kona, HI, Nov. 2010. (Cited 14)

[13] X, Zhou, Q. Hao, and F. Hu, “1-bit walker recognition with distributed binary pyroelectric sensors,” IEEE Conference on Multiple Sensor Fusion and Integration (MFI), pp. 156-161, Salt Lake City, UT, Sept. 2010. (Cited 14) (Correspondence author)

[12] Q. Sun, F. Hu, and Q. Hao, “Context awareness emergence for distributed binary pyroelectric sensors,” IEEE Conference on Multiple Sensor Fusion and Integration (MFI), pp. 150-155, Salt Lake City, UT, Sept. 2010. (Cited 27)

[11] F. Hu, Y. Wu, and Q. Hao, “Primate-teaming-inspired mobile sensor network topology auto-formation modeling,” the 1st International Conference on Sensor Networks and Their Applications (SNA), pp. 142-147, San Francisco, California.

[10] Y. Wang, Q. Hao, A. Fatehpuria, L. G. Hassebrook, and D. L. Lau, “Data acquisition and quality analysis of 3-dimensional ngerprints,” the 1st IEEE Conference on Biometrics (SNA), Identity, and Security, pp. 1-9, Tampa, FL, Sep. 2009. (Cited 30)

[9] C. Li, Q. Hao, W. Guo, and F. Hu, “A hybrid approach for compressive neural activity detection with functional MR images,” the 31th IEEE Conference on Engineering in Medicine and Biology Society (EMBC), pp. 4787-4790, Minneapolis, MN. (Cited 4)

[8] F. Hu, Q. Hao, M. Qiu and Y. Wu, “Low-power electroencephalography sensing data RF transmission: hardware architecture and test,” The 1st ACM International Workshop on Medical-grade Wireless Networks (WiMD), pp. 57–62, New Orleans Louisiana, April 2009. (Cited 7)

[7] N. Li and Q. Hao, “Multiple human tracking with wireless distributed pyroelectric sensors,” SPIE Defense and Security, pp. 694033(1-12) , Orlando, Florida, Mar. 2008. (Cited 14) (Correspondence author)

[6] N. Li and Q. Hao, “Multiple walker recognition with wireless distributed pyroelectric sensors,” SPIE Defense and Security, pp. 694034(1-12) , Orlando, Florida, Mar. 2008. (Cited 5) (Correspondence author)

[5] Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G. Hasserbrook, “Multicamera phase measuring profilometry for accurate depth measurement,” SPIE Sensors and Systems for Space Applications, pp. 655509(1-12), Orlando, Florida, May. 2007. (Cited 22)

[4] Q. Hao and etc., “A self-tuning robust control for sampled-data HDD servo systems,” American Contr. Conference, pp. 3843-3848, Arlington, VA, June. 2001. (Cited 4)

[3] G. Guo, Q. Hao, and T.-S. Low, “Access system requirement for high track per inch hard disk drives,” Asia-Pacic Magn. Recording Conference, TA1/1-TA1/2, Tokyo, Nov. 2000. (Cited 7)

[2] Q. Hao and etc., “An optimal multirate control design with robustness specication for sampled-data HDD servo systems,” the 39th IEEE Conference on Decision and Control (CDC), pp. 3100-3105, Sydney, NSW, Dec. 2000. (Cited 7)

[1] Q. Hao and etc., “TMR online optimization using quasi-newton method for HDD servo systems,” American Contr. Conference, pp. 3412-3416, Chicago, IL, June 2000. (Cited 7)

Author

 [1] F. Hu and Q. Hao (Editors), “Intelligent sensor networks: the integration of sensor networks, signal processing and machine learning,” CRC Press, 2012.

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  • 南方科技大学智能交通中心签约暨捐赠仪式——打造智能交通科研平台 推动校企产学研合作新模式

    2018-05-04

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