1.SCI论文：

• Longhui Qin; Yilei Zhang*; A Reference Spike Train based NeurocomputingMethod for Enhanced Tactile Discrimination of Surface Roughness. NeuralComputing and Applications, 2021.

• Weicheng Huang; Longhui Qin; Khalid Jawed*; Numerical Method for Direct Solution to Form-Finding Problemin Convex Gridshell, Journal of Applied Mechanics, 2021, 88(2): 021012 (共一).
• Longhui Qin; Weicheng Huang; Yayun Du;Luocheng Zheng; Khalid Jawed*; Genetic algorithm-based inverse design of elastic gridshells, Structural and Multidisciplinary Optimization，2020, 62: 2691–2707.
• Longhui Qin; Yilei Zhang*; Roughness discrimination with bio-inspired tactile sensor manually sliding on polished surfaces, Sensors and Actuators A: Physical, 2018, 279: 433-441.
• Liang Hu; Zehua Fang; Longhui Qin; Kai Mao; Wenyu Chen; Xin Fu*; Modelling of Received Ultrasonic Signals Based on Variable Frequency Analysis, Flow Measurement and Instrumentation, 2018, 55: 1–12.
• Longhui Qin; Zhengkun Yi; Yilei Zhang*; Unsupervised surface roughness discrimination based on bio-inspired artificial fingertip, Sensors and Actuators A: Physical, 2018, 269: 483-490.
• Longhui Qin; Yilei Zhang*; Surface Roughness Discrimination Using Unsupervised Machine Learning Algorithms, ICMLA 2017(the IEEE 16th International Conference on Machine Learning and Applications), Cancun, Mexico，2017.
• Longhui Qin; Zhengkun Yi; Yilei Zhang*; Enhanced surface roughness discrimination with optimized features from bio-inspired tactile sensor, Sensors and Actuators A: Physical, 2017, 264: 133-140.
• Zehua Fang, Liang Hu*; Longhui Qin; Kai Mao; Wenyu Chen; Xin Fu; Estimation of ultrasonic signal onset for flow measurement, Flow Measurement and Instrumentation, vol. 55, pp. 1–12, 2017.
• Longhui Qin; Liang Hu*; Kai Mao; Wenyu Chen; Xin Fu; Flowrate Determination for Arbitrary Multipath Arrangement Based on Generalized Inverse of Matrix, IEEE Sensors Journal, 2017, 17(12): 3625–3634.
• Longhui Qin; Liang Hu*; Kai Mao; Wenyu Chen; Xin Fu; Flow profile identification with multipath transducers, Flow Measurement and Instrumentation, 2016, 52: 148–156.
• Longhui Qin; Liang Hu*; Kai Mao; Wenyu Chen; Xin Fu, Application of extreme learning machine to gas flow measurement with multipathacoustic transducers, Flow Measurement and Instrumentation,2016, 49: 31–39.
• Liang Hu; Longhui Qin; Kai Mao; Wenyu Chen; Xin Fu*;Optimization of Neural Network by Genetic Algorithm for Flowrate Determination in Multipath Ultrasonic Gas Flowmeter, IEEE Sensors Journal, 2016, 16(5):1158–1167.
• Huimin Shen; Liang Hu*; Longhui Qin; Xin Fu; Real-Time Orientation-Invariant Magnetic Localization and Sensor Calibration Based on Closed-Form Models, IEEE Magnetic Letters, 2015, 6: 1–4.

2.EI论文

Longhui Qin, Zhuoyuan Tang, Liang Hu, Xin Fu, Peng Ye, Numerical Analysis of Transducer Installation Effect on Ultrasonic Gas Flow Meter, Applied Mechanics and Materials, Vols. 687-691, pp. 1019-1025, Nov. 2014.

3.参加的国际会议

1）Longui Qin,Yayun Du, Weicheng Huang, Mohammad Khalid Jawed, “Numerical Simulations for Physics-based Training of Robots for Manipulation of Flexible Rods”, APS March Meeting 2019 March 4-8, Boston, MA, 2019. https://meetings.aps.org/Meeting/MAR19/Session/R56.7 (演讲报告)

2）DezhongTong, Longhui Qin, Yayun Du,Weicheng Huang, Mohammad Khalid Jawed, “Robust Physics-based Scheme for Robotic Deployment of Elastic Ropes”, Southern California Robotics Symposium, Caltech,April 27, 2019. http://scr2019.caltech.edu/

3）Longhui Qin,Tianyi Wang, Tonmoy Monsoor, Vwani Roychowdhury, M. Khalid Jawed,“Physics-based inverse design of elastic rods with deep neural network”,(Society of Engineering Science) SES2019, 56th Annual Technical Meeting,Washington University in St. Louis, October 13-15, 2019. https://ses2019.wustl.edu/ (演讲报告)

4）Longhui Qin, Weicheng Huang, M. Khalid Jawed, ‘Physics-based inverse design of elastic rods with deep neural network’, 1st Southern California Mechanics Workshop, San Diego, California, USA, Jan 18, 2020, https://sites.google.com/eng.ucsd.edu/caigroup/workshop?authuser=0（演讲报告）

5）Longhui Qin, “A Decoding Method for Spike Train Signals from Tactile Sensors”, 2021 InternationalConference on Sensors and Instruments (ICSI2021), Qingdao, China, May 28~30, 2021. （演讲报告）