Cognitive Robotics, Machine Learning - J Zhong
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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
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master2009.pdf
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​Artificial Neural Network for Feedback Pathways for Sensorimotor Integration
Supervisor: Prof. S. Wermter, Doctoral Thesis, Department of Computer Science, University of Hamburg, Germany.
phd2015.pdf
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Journal
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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
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​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
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​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
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​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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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 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
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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
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​ A. Naser, A. Lotfi, J. Zhong. ​Towards human distance estimation using a thermal sensor array. Neural Computing and Applications, 2021
naser2021_article_towardshumandistanceestimation.pdf
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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
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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
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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
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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
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​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
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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
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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.
icit09-pfaco.pdf
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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. 
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eeic2011_case_study.pdf
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​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
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​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
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​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
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​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
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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
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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
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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
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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
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​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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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​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
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​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
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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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