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Junpei Zhong
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2020 – today
- 2024
- [j26]Jiancong Ye, Mengxuan Wang, Junpei Zhong, Hongjie Jiang:
A review on devices and learning techniques in domestic intelligent environment. J. Ambient Intell. Humaniz. Comput. 15(4): 2361-2380 (2024) - [j25]Junpei Zhong, Ran Dong, Soichiro Ikuno, Yanan Li, Chenguang Yang:
Guest Editorial Special Issue on Movement Sciences in Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 16(2): 403-406 (2024) - [c26]Heng Zhang, Xiaoxuan Hei, Junpei Zhong, Adriana Tapus:
Robot Laughter: Does an appropriate laugh facilitate the robot's humor performance? RO-MAN 2024: 2155-2161 - [i10]King Tai Henry Au-Yeung, William Wai Lam Chan, Kwan Yin Brian Chan, Hongjie Jiang, Junpei Zhong:
A Pilot Study on the Comparison of Prefrontal Cortex Activities of Robotic Therapies on Elderly with Mild Cognitive Impairment. CoRR abs/2405.02560 (2024) - 2023
- [j24]Abdallah Naser, Ahmad Lotfi, Junpei 'Joni' Zhong:
Towards human distance estimation using a thermal sensor array. Neural Comput. Appl. 35(32): 23357-23367 (2023) - [j23]Xin Zhou, Jiancong Ye, Can Wang, Junpei Zhong, Xinyu Wu:
Time-frequency feature transform suite for deep learning-based gesture recognition using sEMG signals. Robotica 41(2): 775-788 (2023) - [j22]Jiancong Ye, Hongjie Jiang, Junpei Zhong:
A Graph-Attention-Based Method for Single-Resident Daily Activity Recognition in Smart Homes. Sensors 23(3): 1626 (2023) - [j21]Abdallah Naser, Ahmad Lotfi, Maria Drolence Mwanje, Junpei Zhong:
Privacy-Preserving, Thermal Vision With Human in the Loop Fall Detection Alert System. IEEE Trans. Hum. Mach. Syst. 53(1): 164-175 (2023) - [c25]Chaofan Ling, Weihua Li, Jingqiang Zeng, Junpei Zhong:
Combined Deterministic and Stochastic Streams for Visual Prediction Using Predictive Coding. ICDL 2023: 467-472 - [c24]Dehua Gao, Kai Wu, Jiaquan Li, Junpei Zhong, Huan Zhao:
Experimental Study on the Effect of Singularity on the Stiffness Modelling of Industrial Robots. ICMRE 2023: 46-51 - [c23]Mingjun Dai, Yonghao Kong, Junpei Zhong, Shengli Zhang, Hui Wang:
A Fully Distributed Training for Class Incremental Learning in Multihead Networks. INFOCOM Workshops 2023: 1-6 - [c22]Sin Tung Chan, Chui Yi Chan, Sum Yee Chan, Jingqiang Zeng, Junpei Zhong:
A pilot study on factors of social attributes in desktop-size interactive robots. RO-MAN 2023: 585-591 - [i9]Chaofan Ling, Weihua Li, Junpei Zhong:
Analyzing and Improving the Pyramidal Predictive Network for Future Video Frame Prediction. CoRR abs/2301.05421 (2023) - 2022
- [j20]Hongjie Jiang, Yi Ma, Jiancong Ye, Chaofan Ling, Junpei Zhong:
A Machine Learning Enabled Near Infrared Tracking Scheme for Localization of Gastrointestinal Smart Capsule. IEEE Access 10: 92481-92490 (2022) - [j19]Zhenshan Bing, Fei Chen, Rui Li, Junpei Zhong, Qiang Li:
Editorial: Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications. Frontiers Neurorobotics 16 (2022) - [j18]Bi-Xiao Wu, Junpei Zhong, Chenguang Yang:
A Visual-Based Gesture Prediction Framework Applied in Social Robots. IEEE CAA J. Autom. Sinica 9(3): 510-519 (2022) - [j17]Abdallah Naser, Ahmad Lotfi, Junpei Zhong:
Multiple Thermal Sensor Array Fusion Toward Enabling Privacy-Preserving Human Monitoring Applications. IEEE Internet Things J. 9(17): 16677-16688 (2022) - [j16]Junpei Zhong, Jie Li, Ahmad Lotfi, Peidong Liang, Chenguang Yang:
An incremental cross-modal transfer learning method for gesture interaction. Robotics Auton. Syst. 155: 104181 (2022) - [c21]Abdallah Naser, Ahmad Lotfi, Junpei Zhong:
Contactless sleep quality monitoring through thermal vision. PETRA 2022: 371-375 - [i8]Chaofan Ling, Junpei Zhong, Weihua Li:
Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory. CoRR abs/2208.07021 (2022) - [i7]Chaofan Ling, Junpei Zhong, Weihua Li:
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction. CoRR abs/2212.11642 (2022) - 2021
- [j15]Xing Li, Junpei Zhong, M. M. Kamruzzaman:
Complicated robot activity recognition by quality-aware deep reinforcement learning. Future Gener. Comput. Syst. 117: 480-485 (2021) - [j14]Bi-Xiao Wu, Chenguang Yang, Junpei Zhong:
Research on Transfer Learning of Vision-based Gesture Recognition. Int. J. Autom. Comput. 18(3): 422-431 (2021) - [j13]Nicolás Navarro-Guerrero, Sao Mai Nguyen, Erhan Öztop, Junpei Zhong:
Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning. IEEE Trans. Cogn. Dev. Syst. 13(2): 234-238 (2021) - [c20]Ran Dong, Yangfei Lin, Qiong Chang, Junpei Zhong, DongSheng Cai, Soichiro Ikuno:
Motion Feature Extraction and Stylization for Character Animation using Hilbert-Huang Transform. ICEA 2021: 16-21 - [c19]Kaibin Xu, Junpei Zhong, Kristiina Jokinen:
It is Time to Laugh: Discovering Specific Contexts for Laughter with Attention Mechanism. ICISCAE (IEEE) 2021: 211-215 - [c18]Libo Zhao, Junpei Zhong:
Recurrent Neural Network with Adaptive Gating Timescales Mechanisms for Language and Action Learning. ICONIP (6) 2021: 405-413 - [c17]Abdallah Naser, Ahmad Lotfi, Junpei Zhong:
A Novel Privacy-Preserving Approach for Physical Distancing Measurement Using Thermal Sensor Array. PETRA 2021: 81-85 - 2020
- [j12]Jie Li, Junpei Zhong, Jingfeng Yang, Chenguang Yang:
An Incremental Learning Framework to Enhance Teaching by Demonstration Based on Multimodal Sensor Fusion. Frontiers Neurorobotics 14: 55 (2020) - [c16]Junpei 'Joni' Zhong, Ahmad Lotfi:
Sensor2Vec: an Embedding Learning for Heterogeneous Sensors for Activity Classification. CcS 2020: 1-6 - [c15]Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He:
Heat-Map Based Occupancy Estimation Using Adaptive Boosting. FUZZ-IEEE 2020: 1-7 - [c14]Wenjie Huang, Junpei Zhong, Angelo Cangelosi:
Multiple Timescale and Gated Mechanisms for Action and Language Learning in Robotics. IJCNN 2020: 1-7 - [c13]Abdallah Naser, Ahmad Lotfi, Junpei Zhong, Jun He:
Human activity of daily living recognition in presence of an animal pet using thermal sensor array. PETRA 2020: 53:1-53:6 - [c12]Kristiina Jokinen, Junpei Zhong:
Learning Co-Occurrence of Laughter and Topics in Conversational Interactions. SMC 2020: 3845-3851 - [i6]Junpei Zhong, Angelo Cangelosi, Stefan Wermter:
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives. CoRR abs/2006.11465 (2020)
2010 – 2019
- 2019
- [j11]Chao Zeng, Chenguang Yang, Junpei Zhong, Jianwei Zhang:
Encoding Multiple Sensor Data for Robotic Learning Skills From Multimodal Demonstration. IEEE Access 7: 145604-145613 (2019) - [j10]Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi:
Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Auton. Robots 43(5): 1271-1290 (2019) - [j9]Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi, Chenguang Yang:
Disentanglement in conceptual space during sensorimotor interaction. Cogn. Comput. Syst. 1(4): 103-112 (2019) - [j8]Chenguang Yang, Zhaojie Ju, Xiaofeng Liu, Junpei Zhong, Andy S. K. Annamalai:
Control Design for Systems Operating in Complex Environments. Complex. 2019: 6723153:1-6723153:2 (2019) - [j7]Yanan Li, Xiaodong Zhou, Junpei Zhong, Xuefang Li:
Robotic Impedance Learning for Robot-Assisted Physical Training. Frontiers Robotics AI 6: 78 (2019) - [c11]Junpei Zhong, Chenguang Yang:
A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression. ICARM 2019: 821-826 - [c10]Junpei Zhong, Yanan Li:
Toward Human-in-the-Loop PID Control Based on CACLA Reinforcement Learning. ICIRA (3) 2019: 605-613 - [c9]Junpei Zhong, Ting Han, Ahmad Lotfi, Angelo Cangelosi, Xiaofeng Liu:
Bridging the Gap between Robotic Applications and Computational Intelligence in Domestic Robotics. SSCI 2019: 1445-1452 - 2018
- [j6]Chenguang Yang, Jing Na, Guang Li, Yanan Li, Junpei Zhong:
Neural Network for Complex Systems: Theory and Applications. Complex. 2018: 3141805:1-3141805:2 (2018) - [j5]Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata, Xinzheng Zhang:
Encoding Longer-Term Contextual Information with Predictive Coding and Ego-Motion. Complex. 2018: 7609587:1-7609587:15 (2018) - [j4]Yang Xu, Chenguang Yang, Junpei Zhong, Ning Wang, Lijun Zhao:
Robot teaching by teleoperation based on visual interaction and extreme learning machine. Neurocomputing 275: 2093-2103 (2018) - [c8]Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang, Tetsuya Ogata:
AFA-PredNet: The Action Modulation Within Predictive Coding. IJCNN 2018: 1-8 - [c7]Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi:
Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model. SSCI 2018: 160-167 - [i5]Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang, Tetsuya Ogata:
AFA-PredNet: The action modulation within predictive coding. CoRR abs/1804.03826 (2018) - [i4]Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi:
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model. CoRR abs/1804.06774 (2018) - 2017
- [j3]Yiming Jiang, Chenguang Yang, Jing Na, Guang Li, Yanan Li, Junpei Zhong:
A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots. Complex. 2017: 1895897:1-1895897:14 (2017) - [j2]Xinzheng Zhang, Jianfen Zhang, Junpei Zhong:
Skill Learning for Intelligent Robot by Perception-Action Integration: A View from Hierarchical Temporal Memory. Complex. 2017: 7948684:1-7948684:16 (2017) - [c6]Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi, Chenguang Yang:
Understanding natural language sentences with word embedding and multi-modal interaction. ICDL-EPIROB 2017: 184-189 - [c5]Mingjun Dai, Shansong Huang, Junpei Zhong, Chenguang Yang, Shiwei Yang:
Influence of noise on transfer learning in Chinese sentiment classification using GRU. ICNC-FSKD 2017: 1844-1849 - [c4]Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata:
Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models. IJCNN 2017: 3625-3632 - [i3]Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata:
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models. CoRR abs/1702.05441 (2017) - 2016
- [i2]Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi:
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs. CoRR abs/1605.03261 (2016) - [i1]Junpei Zhong, Rony Novianto, Mingjun Dai, Xinzheng Zhang, Angelo Cangelosi:
A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies. CoRR abs/1605.03269 (2016) - 2015
- [b1]Junpei Zhong:
Artificial Neural Models for Feedback Pathways for Sensorimotor Integration. University of Hamburg, 2015 - 2014
- [c3]Junpei Zhong, Lola Cañamero:
From continuous affective space to continuous expression space: Non-verbal behaviour recognition and generation. ICDL-EPIROB 2014: 75-80 - 2012
- [j1]Junpei Zhong, Cornelius Weber, Stefan Wermter:
A predictive network architecture for a robust and smooth robot docking behavior. Paladyn J. Behav. Robotics 3(4): 172-180 (2012) - [c2]Junpei Zhong, Cornelius Weber, Stefan Wermter:
Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. ICANN (1) 2012: 539-546 - 2011
- [c1]Junpei Zhong, Cornelius Weber, Stefan Wermter:
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model. ICANN (2) 2011: 333-340
Coauthor Index
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last updated on 2024-11-11 21:31 CET by the dblp team
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