Last modified: Mar 2019
Publication
Theses
Utilization and Optimization for Particle Filtering Multi-robot SLAM
Supervisor: Dr. Y.F. Fung, MPhil Thesis, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong
Utilization and Optimization for Particle Filtering Multi-robot SLAM
Supervisor: Dr. Y.F. Fung, MPhil Thesis, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong
| master2009.pdf |
Artificial Neural Network for Feedback Pathways for Sensorimotor Integration
Supervisor: Prof. S. Wermter, Doctoral Thesis, Department of Computer Science, University of Hamburg, Germany.
Supervisor: Prof. S. Wermter, Doctoral Thesis, Department of Computer Science, University of Hamburg, Germany.
| phd2015.pdf |
Journal
Zhong, J.P., Fung Y.F. and Dai M.J. Ant Colony Optimization Assisted Particle Filters. International Journal of Control, Automation, and Systems. pp. 519-526, June, 8(3), 2010.
Zhong, J.P., Fung Y.F. and Dai M.J. Ant Colony Optimization Assisted Particle Filters. International Journal of Control, Automation, and Systems. pp. 519-526, June, 8(3), 2010.
| ijcas-2009-aco-pf.pdf |
Zhong, J., and Fung, Y.F. Case Study and Proofs of Ant Colony Optimisation Improved Particle Filter Algorithm. IET Control Theory and Applications. pp. 689-697, 6(5), 2012.
| iet2012-acopf-case_study.pdf |
Zhong, J., Weber, C. and Wermter, S. A Predictive Network Architecture for a Robust and Smooth Robot Docking Behavior. Paladyn. Journal of Behavioral Robotics.pp. 172–180,3(4), 2012b.
| paladyn2013-predictive-embodiment-preprint.pdf |
Zhong, J., Cangelosi, A. and Wermter, S. Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives . Frontiers in Behavioral Neuroscience, 8:22, 2014.
| si-presymbol2014.pdf |
Zhang, Z., Zhang, J., & Zhong, J. Skill Learning for Intelligent Robot by Perception-Action Integration: A View from Hierarchical Temporal Memory. Complexity. 2017.
| htm-zhang-2017-complexity.pdf |
Jiang Y., Yang C., Na J. , Li G., Li Y., & Zhong, J.. A Brief Review of Neural Networks based Learning and Control and their Applications for Robots. Complexity. 2017.
| review-nn-2017-complexity.pdf |
Xu, Y., Yang, C., Zhong, J., Ma, H., Zhao, L. & Wang, M. Robot Teaching by Teleoperation Based on Visual Interaction and Neural Network Learning. Neurocomputing. 2018.
| neurocomputing-elm-2018.pdf |
Zhang, Z., Zhang, J., & Zhong, J. Towards Navigation Ability for Autonomous Mobile Robots with Learning from Demonstration Paradigm: A View of Hierarchical Temporal Memory. International Journal of Advanced Robotic Systems . 2018.
| htm-zhang-2018-ijars.pdf |
Zhong, J., Peniak, M., Tani, J., Ogata, T., and Cangelosi, A. Sensorimotor input as a language generalisation tool: A connectionist model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Autonomous Robots, 2018.
| zhong2018_sensorimotorinputasalanguagege.pdf |
Zhong, J., Cangelosi, A., Ogata, T. and Zhang, X., 2018. Encoding Longer-Term Contextual Information with Predictive Coding and Ego-Motion. Complexity, 2018.
| zhong_2019_mt-afaprednet.pdf |
Li, Y., Zhou, X., Zhong, J. and Li, X., 2019. Robotic Impedance Learning for Robot-assisted Physical Training. Frontiers in Robotics and AI, 6, p.78. 2019.
| frobt-06-00078.pdf |
C. Zeng, C. Yang, J. Zhong, J. Zhang. Encoding Multiple Sensor Data for Robotic Learning Skills from Multimodal Demonstration. IEEE Access. 2019
| zeng2019ieeeaccess_compressed__3_.pdf |
J. Zhong, T. Ogata, A. Cangelosi and Yang C. Disentanglement in conceptual space during sensorimotor interaction. IET Cognitive Computation and Systems. 2019
| ccs-2019-0007-final.pdf |
J. Li, J. Zhong, M. Wang. An Unsupervised Recurrent Neural Network with Parametric Bias Framework for Human Emotion Recognition with Multimodal Sensor Data Fusion. Sensors and Materials. 2020
| sensorsmaterials_rnnpb_emotionrecognition_li_2020.pdf |
J. Li, J. Zhong, J. Yang, C. Yang. An Incremental Learning Framework to Enhance Teaching by Demonstration Based on Multimodal Sensor Fusion. Frontiers in Neurorobotics, Aug, 2020
| fnbot-incremenal_rnnpb_li_2020.pdf |
X. Li & J. Zhong. Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control. IEEE Access. 2020
| upper_limb_iot_ieee_access_2020.pdf |
A. Naser, A. Lotfi, J. Zhong. Adaptive Thermal Sensor Array Placement for Human Segmentation and Occupancy Estimation. IEEE Sensors Journal. 2020
| naser_tsa_placement_ieee_sensors_2020pdf.pdf |
J. Zhong, C. Ling, A. Cangelosi, A. Lotfi, X. Liu. On the Gap between Domestic Robotic Applications and Computational Intelligence. Electronics, 2021
| electronics-10-00793-v2__2_.pdf |
A. Naser, A. Lotfi, J. Zhong. Towards human distance estimation using a thermal sensor array. Neural Computing and Applications, 2021
| naser2021_article_towardshumandistanceestimation.pdf |
X Li, J Zhong, MM Kamruzzaman. Complicated robot activity recognition by quality-aware deep reinforcement learning. Future Generation Computer Systems, 2021.
| li2021_complicated_robot_activity_recognition_fgcs.pdf |
Wu BX, Yang CG, Zhong JP. Research on transfer learning of vision-based gesture recognition. International Journal of Automation and Computing. 2021 Jun;18(3):422-31.
| wu2021_researchontransferlearningofvi.pdf |
Wu B, Zhong J, Yang C. A visual-based gesture prediction framework applied in social robots. IEEE/CAA Journal of Automatica Sinica. 2021 Sep 13;9(3):510-9.
| wu2021-a_visual-based_gesture_prediction_framework_applied_in_social_robots.pdf |
Naser A, Lotfi A, Zhong J. Multiple thermal sensor array fusion towards enabling privacy-preserving human monitoring applications. IEEE Internet of Things Journal. 2022 Feb 10.
| naser2022_ieee_iot_multiple_sensor.pdf |
Naser A, Lotfi A, Zhong J. Calibration of low-resolution thermal imaging for human monitoring applications. IEEE Sensors Letters. 2022 Mar 3;6(3):1-4.
| naser2022_ieee_sensor_calibration.pdf |
Zhong J, Li J, Lotfi A, Liang P, Yang C. Incremental Cross-modal Transfer Learning Method for Gesture Interaction. Robotics and Autonomous Systems. 2022.
| zhong2022-ras-bls_tf_cross_modal-gesture.pdf |
Conference
Zhong, J.P. and Fung, Y.F., A Biological Inspired Improvement Strategy for Particle Filters. Proceedings, IEEE 2009 International Conference on Industrial Technology (ICIT 09), Australia, pp. 1-6, 10-13 Feb 2009.
Zhong, J.P. and Fung, Y.F., A Biological Inspired Improvement Strategy for Particle Filters. Proceedings, IEEE 2009 International Conference on Industrial Technology (ICIT 09), Australia, pp. 1-6, 10-13 Feb 2009.
| icit09-pfaco.pdf |
Zhong, J.P. and Fung, A Detailed Analysis of the Ant Colony Optimization Enhanced Particle Filters.Proceedings of the Internatonal Conference on Electric and Electronic (EEIC 2011), LNEE 98, pp. 641-648, Springer Heidelberg. Nanchang, China, June 2011.
| eeic2011_case_study.pdf |
Zhong, J.P., Weber, C. and Wermter S., Robot Trajectory Prediction and Recognition based on a Computational Mirror Neurons Model. In Honkela, T., Duch, W., Girolami, M., Kaski, S., editors, Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011), Part II, pp. 333-340, Espoo, Finland, June 2011.
| icann2011-rnnpb.pdf |
Zhong, J., Weber, C. and Wermter, S. Restricted Boltzmann Machine with Transformation Units in a Mirror Neuron System Architecture. In Narioka, K., Nagai, Y., Asada, M., Ishiguro, H., editors, Proceedings of the IROS2011 Workshop on Cognitive Neuroscience Robotics (CNR), pp. 23-28, San Francisco, CA, USA, September 2011.
| iros2011-nr-rbmpb.pdf |
Zhong, J., Weber, C. and Wermter, S. Learning Features and Transformations with a Predictive Horizontal Product Model. Proceedings of Sixteenth International Conference on Cognitive and Neural Systems, ICCNS 2012, Boston, USA, 2012.
| iccns2012-hp-rnn-abs.pdf |
Zhong, J., Weber, C., and Wermter, S. Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. In Villa, A.E.P., et al., editors, Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), Part I, LNCS 7552, pp. 539-546, Springer Heidelberg. Lausanne, CH, September 2012.
| icann2012-hp-rnn.pdf |
Zhong, J. , and Canamero, L.. "From continuous affective space to continuous expression space: Non-verbal behaviour recognition and generation." In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint IEEE International Conferences on, pp. 75-80. IEEE, 2014.
| icdl2014-expression-space-rnnpb.pdf |
Zhong, J., Cangelosi, A., & Ogata, T. Sentence Embeddings with Sensorimotor Embodiment. The 34th annual conference of the Robotics Society of Japan. 2016.
| embodied-distributed-representation-2016-short_v2.pdf |
Zhong, J., Cangelosi, A., & Ogata, T. Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models. 2017 International Joint Conference on Neural Networks (IJCNN 2017).
| ijcnn2017-mtrgu-mtrnn-final.pdf |
Xu, Y., Yang, C., Zhong, J., Ma, H., Zhao, L. & Wang, M. Robot Teaching by Teleoperation Based on Visual Interaction and Neural Network Learning. The 9th International Conference on Modelling, Identification and Control (ICMIC 2017).
| xu_2017_teleoperation_icmic.pdf |
Wang, X., Yang, C., Zhong, J., Cui, R. & Wang, M. Teleoperation Control for Bimanual robots based on RBFNN and Wave Variable. The 9th International Conference on Modelling, Identification and Control (ICMIC 2017). (Best Theory Paper Award)
| wang_2017_teleoperation_rbfnn_2017.pdf |
Dai, M., Huang, S., Zhong, J., Yang, C. & Yang, S. Influence of Noise on Transfer Learning in Chinese Sentiment Classification using GRU. The 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery.
| pid4861315.pdf |
Zhong, J., Ogata, T., Cangelosi, A., & Yang, C. Understanding Natural Language Sentences with Word Embedding and Multi-modal Interaction. The Seventh Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2017).
| bare_conf_word2vec_mtrnn-v2.pdf |
Zhong, J. , Cangelosi, A., Zhang, X., & Ogata, T. AFA-PredNet: The action modulation within predictive coding. 2018 International Joint Conference on Neural Networks (IJCNN 2018).
| ijcnn-afaprednet--v2_2.pdf |
Li J., Yang C. , Zhong J. , Dai S. Emotion-aroused human behaviors Perception Using RNNPB. The 9th International Conference on Modelling, Identification and Control (ICMIC 2018).
| li_rnnpb_icmic_2018.pdf |
Zhong, J. , Ogata, T., Cangelosi, A. Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model. 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018).
| bare_conf_mt_afa-prednet-final.pdf |
Zhong, J., Yang, C. A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression. 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM 2019).
| rnnpb-adaptive-ieee-arm19-final.pdf |
Zhong, J., Li, Y. Toward human-in-the-loop PID control based on CACLA reinforcement learning. In International Conference on Intelligent Robotics and Applications (pp. 605-613). Springer, Cham.
| icira2019_497_original_v2.pdf |
Li, J., Zhong, J., Chen, F., Yang, C. An Incremental Learning Framework for Skeletal-based Hand Gesture Recognition with Leap Motion. The 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2019). (Nomination for Best Paper Award)
| cyber2019.pdf |
J. Zhong, T. Han, A. Lotfi, A. Cangelosi, and X. Liu. Bridging the Gap between Robotic Applications and Computational Intelligence - An Overview on Domestic Robotics. 2019 IEEE Symposium Series on Computational Intelligence, December 6-9 2019, Xiamen, China.
| ssci2019_bridging.pdf |
A. Naser, A. Lotfi, J. Zhong and J. He. Heat-Map Based Occupancy Estimation Using Adaptive Boosting. IEEE World Congress on Computational Intelligence 2020 (WCCI 2020). Glasgow, UK
| wcci2020___naser_heapmap_addaptiveboosing.pdf |
W. Huang, J. Zhong and A. Cangelosi. Multiple Timescale and Gated Mechanisms for Action and Language Learning in Robotics. IEEE World Congress on Computational Intelligence. Glasgow, UK.
| huang_2020_wcci_gated_rnn.pdf |
A. Naser, A. Lotfi, J. Zhong and J. He. Human Activity of Daily Living Recognition in Presence of an Animal Pet Using Thermal Sensor Array. Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, pp. 1-6. 2020.
| petra20_naser_pet_thermal_sensor_2020.pdf |
J. Zhong, A. Lotfi. Sensor2Vec: an Embedding Learning for Heterogeneous Sensors for Activity Classification. IEEE International Symposium on Community-centric Systems 2020 (CcS 2020)
| ccs_2020_sensor2vec__3_.pdf |
K. Jokinen, J. Zhong. Learning co-occurrence of laughter and topics in conversational interactions. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
| learning_co-occurrence_of_laughter_and_topics_in_conversational_interactions_ieee_smc_2020.pdf |
J. Xia, D. Huang, Y. Li, J. Zhong. Iterative Learning Control Based on Stretch and Compression Mapping for Trajectory Tracking in Human-robot Collaboration. 2020 Chinese Automation Congress (CAC).
| iterative_learning_control_based_on_stretch_and_compression_mapping_for_trajectory_tracking_in_human-robot_collaboration_cac_2020.pdf |
A. Naser, A. Lotfi and J. Zhong. A Novel Privacy-Preserving Approach for Physical Distancing Measurement Using Thermal Sensor Array. The 14th PErvasive Technologies Related to Assistive Environments Conference. 2021.
| naser2021_article_novel_privacy_preserving_petra21.pdf |
Xu, K., Zhong, J., & Jokinen, K. (2021, September). It is Time to Laugh: Discovering Specific Contexts for Laughter with Attention Mechanism. In 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE) (pp. 211-215). IEEE.
| xu2021-it_is_time_to_laugh__discovering_specific_contexts_for_laughter_with_attention_mechanism.pdf |
Zhao, L. and Zhong, J., 2021, December. Recurrent Neural Network with Adaptive Gating Timescales Mechanisms for Language and Action Learning. In International Conference on Neural Information Processing (pp. 405-413). Springer, Cham.
| zhao-zhong2021_chapter_recurrentneuralnetworkwithadap.pdf |
Dong, R., Lin, Y., Chang, Q., Zhong, J., Cai, D. and Ikuno, S., 2021, December. Motion Feature Extraction and Stylization for Character Animation using Hilbert-Huang Transform. In Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications (pp. 16-21).
| dong2021-motin-feature-extraction.pdf |
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