CHENG Hu

Research Focus

My research interests include: Grasp Detection, Pose Estimation, Pattern Recognition, and Sensor Fusion.

Education

2016-Today		The Chinese University of Hong Kong, Hong Kong, China
		Department of Electronic Engineering
		PhD Student
2012-2016		Northeastern University, Shenyang, China
		Information Science and Engineering
		Bachelor Degree

Publications

* indicates equal contributions
• Anchor-Based Multi-Scale Deep Grasp Pose Detector with Encoded Angle Regression
  Hu Cheng, Yinging Wang, Max Qing-Hu Meng.
  IEEE Transactions on Automation Science and Engineering. (Accepted)
  
  
• Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU
  Yinging Wang, Hu Cheng, Max Qing-Hu Meng.
  IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, pp. 636-648, Jan. 2023.
  
  
• A Robot Grasping System With Single-Stage Anchor-Free Deep Grasp Detector
  Hu Cheng, Yinging Wang, Max Qing-Hu Meng.
  IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, 2022.
  
  
• A Vision-Based Robot Grasping System
  Hu Cheng, Yinging Wang, Max Qing-Hu Meng.
  IEEE Sensors Journal, vol. 22, no. 10, pp. 9610-9620, 2022.
  
  
• Inertial Odometry Using Hybrid Neural Network With Temporal Attention for Pedestrian Localization
  Yinging Wang*, Hu Cheng*, Max Qing-Hu Meng.
  IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022.
  
  
• A2DIO: Attention-Driven Deep Inertial Odometry for Pedestrian Localization based on 6D IMU
  Yinging Wang*, Hu Cheng*, Max Qing-Hu Meng.
  2022 International Conference on Robotics and Automation (ICRA), 2022.
  
  
• Grasp Pose Detection from a Single RGB Image
  Hu Cheng, Yinging Wang, Max Qing-Hu Meng.
  2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
  
  
• Pose-Invariant Inertial Odometry for Pedestrian Localization
  Yinging Wang, Hu Cheng, Max Qing-Hu Meng.
  IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-12, 2021.
  
  
• A Searching Space Constrained Partial to Full Registration Approach With Applications in Airport Trolley Deployment Robot
  Jin Pan, Xiaochun Mai, Chaoqun Wang, Zhe Min, Jiankun Wang, Hu Cheng, Tingguang Li, Erli Lyu, Li Liu, Max Qing-Hu Meng.
  IEEE Sensors Journal, vol. 21, no. 10, pp. 11946-11960, 2021.
  
  
• Active Semi-supervised Grasp Pose Detection with Geometric Consistency
  Fan Bai, Delong Zhu, Hu Cheng, Peng Xu, Max Qing-Hu Meng.
  IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021.
  
  
• High Accuracy and Efficiency Grasp Pose Detection Scheme with Dense Predictions
  Hu Cheng, Danny Ho, Max Qing-Hu Meng.
  IEEE International Conference on Robotics and Automation (ICRA), 2020.
  
  
• Real-Time Robot End-Effector Pose Estimation with Deep Network
  Hu Cheng, Yinging Wang, Max Qing-Hu Meng.
  2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  
  
• Pedestrian Motion Tracking by Using Inertial Sensors on the Smartphone
  Yinging Wang*, Hu Cheng*, Max Qing-Hu Meng.
  2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  
  
• A Grasp Pose Detection Scheme with an End-to-End CNN Regression Approach
  Hu Cheng, Max Qing-Hu Meng.
  IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018.
  T. J. Tarn Best Paper in Robotics Finalist
  
  
• Autonomous Navigation by Mobile Robots in Human Environments: A Survey
  Jiyu Cheng, Hu Cheng, Max Qing-Hu Meng, Hong Zhang.
  IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018.
  
  
• An Accurate Localization Scheme for Mobile Robots Using Optical Flow in Dynamic Environments
  Jiyu Cheng, Yuxiang Sun, Wenzheng Chi, Chaoqun Wang, Hu Cheng, Max Qing-Hu Meng.
  IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018.
  
  

Awards and Honors

• Talent Development Scholarship, Hong Kong Government (2021)
• Hong Kong, China - Asia-Pacific Economic Cooperation Scholarship, Hong Kong Education Bureau (2021)
• Reaching Out Award, Hong Kong Government(2020)
• Golden Egg Award, JD Ltd, Tianjin, China (2018)
• Outstanding Student Award, The Chinese University of Hong Kong, Hong Kong (2017)
• National Encouragement Scholarship, Ministry of Education, PRC (2015)
• The Outstanding Student of NEU, Northeastern University, Shenyang (2013, 2014)
• National Scholarship, Ministry of Education, PRC (2013, 2014)
• The First Prize Scholarship, Northeastern University, Shenyang (2012, 2013, 2014)

Competitions

• Second Award in JD Robot Challenge, top 2/300 (2018)
• Finalist of DJI RoboMaster Manipulation Challenge (ICRA), top 5/93 (2017)

Professional Activities & Services:

• Reviewer
  IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2023
  IEEE International Conference on Automation Science and Engineering (CASE), 2022
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, 2022
  IEEE International Conference on Robotics and Automation (ICRA), 2020, 2021, 2022
  IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019
  IEEE Robotics and Automation Letters (RA-L)
  
  
• Session Chair
  IEEE International Conference on Robotics and Automation (ICRA), 2021
  IEEE International Conference on Advanced Robotics (ICAR), 2019
  IEEE International Conference on Information and Automation (ICIA), 2018

Teaching Experience:

• Teaching Assistant at CUHK (2017 Spring)
  Tutorial on course BMEG2011: Biomedical Engineering Laboratory
  
  
• Teaching Assistant at CUHK (2016 fall, 2017 fall)
  Tutorial on course BMEG3101: Medical Instrument and Design
  
• Teaching Assistant at CUHK (2018 fall)
  Tutorial on course ENGG 2420A: Complex Analysis and Differential Equations for Engineers