RESEARCH INTEREST
My research interests include robot grasp, deformable object manipulation, robot vision, pose estimation, pattern recognition, and sensor fusion.
RESEARCH DEMO
EDUCATION
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The Chinese University of Hong Kong, Hong Kong (Aug 2016 - Jul 2023)
Ph.D. in Department of Electronic Engineering
Supervisor: Prof. Max Q.-H. Meng -
Northeastern University, Shenyang, China (Sep 2012 - Jun 2016)
B.E. in College of Information Science
GPA: 90.78/100 Rank: 4/277 in Automation -
University of California San Diego, San Diego, the USA (Jun 2019 - Mar 2020)
Visiting scholar in College of Computer Science and Engineering
Supervisor: Prof. Hao Su
WORK EXPERIENCE
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Centre for Transformative Garment Production@InnoHK, Hong Kong
Postdoctoral fellow (Sep 2023 - current)
Supervisor: Prof. Kazuhiro Kosuge -
The University of Hong Kong, Hong Kong
Visiting researcher associate (Sep 2023 - current)
Supervisor: Prof. Kazuhiro Kosuge
PRE-PRINTS
(* indicates equal contributions, # indicates corresponding author)
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Automated Action Generation Framework for Robotic Garment and Fabric Manipulation
Hu Cheng, Fuyuki Tokuda, Kazuhiro Kosuge
Intended submission to IEEE Transactions on Automation Science and Engineering (Reviewed by supervisor) -
A Learning-Based Sequence-to-Sequence WiFi Fingerprinting Framework for Accurate Pedestrian Indoor Localization Using Unconstrained RSSI
Yingying Wang*, Hu Cheng*, Max Q.-H. Meng
IEEE Internet of Things Journal (Under review) -
UPDet: Deep learning-based darting-out pedestrian detection from ultrasonic sensors
Yingying Wang, Chenyu Jin, Hu Cheng#
IEEE Robotics and Automation Letters (In revision)
JOURNAL PUBLICATIONS
(* indicates equal contributions)
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Single-stage Grasp Detector with Rotated Anchors and the Automatic Label Generation
Hu Cheng, Yingying Wang, Max Q.-H. Meng
Science China Information Sciences (SCIS), 2025 (JCR Q1, IF: 7.3) -
Anchor-Based Multi-Scale Deep Grasp Pose Detector with Encoded Angle Regression
Hu Cheng*, Yingying Wang*, Max Q.-H. Meng
IEEE Transactions on Automation Science and Engineering (T-ASE), 2024 (JCR Q1, IF: 5.9) -
From IMU Measurement Sequence to Velocity Estimate Sequence: An Efficient Data-Driven Inertial Odometry Approach
Yingying Wang*, Hu Cheng*, Ang Zhang, Max Q.-H. Meng
IEEE Sensors Journal, 2023 (JCR Q1, IF: 4.3) -
A Robot Grasping System With Single-Stage Anchor-Free Deep Grasp Detector
Hu Cheng, Yingying Wang, Max Q.-H. Meng
IEEE Transactions on Instrumentation and Measurement (TIM), 2022 (JCR Q1, IF: 5.6) -
A Vision-Based Robot Grasping System
Hu Cheng, Yingying Wang, Max Q.-H. Meng
IEEE Sensors Journal, 2022 (JCR Q1, IF: 4.3) -
Inertial Odometry Using Hybrid Neural Network with Temporal Attention for Pedestrian Localization
Yingying Wang*, Hu Cheng*, Max Q.-H. Meng
IEEE Transactions on Instrumentation and Measurement (TIM), 2022 (JCR Q1, IF: 5.9) -
Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU
Yingying Wang, Hu Cheng, Max Q.-H. Meng
IEEE Transactions on Automation Science and Engineering (T-ASE), 2022 (JCR Q1, IF: 5.6) -
Pose-Invariant Inertial Odometry for Pedestrian Localization
Yingying Wang, Hu Cheng, Chaoqun Wang, Max Q.-H. Meng
IEEE Transactions on Instrumentation and Measurement (TIM), 2021 (JCR Q1, IF: 5.6) -
Learning to Reorient Objects with Stable Placements Afforded by Extrinsic Supports
Peng Xu, Hu Cheng, Jiankun Wang, Max Q.-H. Meng
IEEE Transactions on Automation Science and Engineering (T-ASE), 2024 (JCR Q1, IF: 5.6) -
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 Q.-H. Meng
IEEE Sensors Journal, 2020 (JCR Q1, IF: 4.3)
CONFERENCE PUBLICATIONS
(* indicates equal contributions)
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A2DIO: Attention-Driven Deep Inertial Odometry for Pedestrian Localization based on 6D IMU
Yingying Wang*, Hu Cheng*, Max Q.-H. Meng
IEEE International Conference on Robotics and Automation (ICRA), 2022 -
Grasp Pose Detection from a Single RGB Image
Hu Cheng, Yingying Wang, Max Q.-H. Meng
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 -
Pedestrian Motion Tracking by Using Inertial Sensors on the Smartphone
Yingying Wang*, Hu Cheng*, Max Q.-H. Meng
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 -
Real-Time Robot End-Effector Pose Estimation with Deep Network
Hu Cheng, Yingying Wang, Max Q.-H. Meng
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 -
High Accuracy and Efficiency Grasp Pose Detection Scheme with Dense Predictions
Hu Cheng, Danny Ho, Max Q.-H. Meng
IEEE International Conference on Robotics and Automation (ICRA), 2020 -
A Grasp Pose Detection Scheme with an End-to-End CNN Regression Approach
Hu Cheng, Max Q.-H. Meng
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018
T. J. Tarn Best Paper in Robotics Finalist -
FDIO: Extended Kalman Filter-aided Deep Inertial Odometry
Yingying Wang*, Hu Cheng*, Max Q.-H. Meng
IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2023 -
Active Semi-supervised Grasp Pose Detection with Geometric Consistency
Fan Bai, Delong Zhu, Hu Cheng, Peng Xu, Max Q.-H. Meng
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2020 -
Autonomous Navigation by Mobile Robots in Human Environments: A Survey
Jiyu Cheng, Hu Cheng, Max Q.-H. 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 Q.-H. Meng
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018
AWARDS & 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, China 2015
- The Outstanding Student of NEU, Northeastern University, Shenyang 2013, 2014
- National Scholarship, Ministry of Education, China 2013, 2014
- The First Prize Scholarship, Northeastern University, Shenyang 2012, 2013, 2014
COMPETITIONS
- Finalist of DJI RoboMaster Manipulation Challenge (ICRA), top 5/93 in 2017
- Second Award in JD Robot Challenge, top 2/300 in 2018
PROFESSIONAL ACTIVITIES & SERVICES
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Reviewer
Pattern Recognition (PR)
IEEE/ASME Transactions on Mechatronics (TMECH)
IEEE Transactions on Industrial Informatics (TII)
Science China Information Sciences
IEEE Transactions on Automation Science and Engineering (TASE)
IEEE Transactions on Instrumentation and Measurement (TIM)
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I)
IEEE Access
IEEE Robotics and Automation Letters (RA-L)
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), 2020-2023
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019 -
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
PROFESSIONAL SKILLS
- Programming Skills: Python, MATLAB, C, C++, etc.
- Tools: TensorFlow, PyTorch, ROS, Solidworks, etc.