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  • Li, J., Zeng, T.*, Si, B. (2025). Brain-Inspired Visual Topometric Localization via Roadnetwork-Constraint Hidden Markov Model.. IEEE Robotics and Automation Letters (accepted)
  • Hou, J., Guan, W., Liang, L., Feng, J., Xue, X., & Zeng, T.* (2025). Topo-Field: Topometric mapping with Brain-inspired Hierarchical Layout-Object-Position Fields.. IEEE Robotics and Automation Letters, vol. 10, no. 6, pp. 5385-5392
  • Zeng, T., Si, B.*, & Feng, J.* (2022). A theory of geometry representations for spatial navigation. Progress in Neurobiology, 211, 102228.
  • Zeng, T., Si, B.*, & Li, X. (2022). Entorhinal-hippocampal interactions lead to globally coherent representations of space. Current Research in Neurobiology, 3, 100035.
  • Zeng, T., Tang, F., Ji, D., & Si, B.* (2020).NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. Neural Networks, 126, 21-35.

    • PUBLICATIONS

    2025

  • Li, J., Zeng, T.*, Si, B. (2025). Brain-Inspired Visual Topometric Localization via Roadnetwork-Constraint Hidden Markov Model.. IEEE Robotics and Automation Letters (accepted)
  • Hou, J., Guan, W., Liang, L., Feng, J., Xue, X., & Zeng, T.* (2025). Topo-Field: Topometric mapping with Brain-inspired Hierarchical Layout-Object-Position Fields.. IEEE Robotics and Automation Letters, vol. 10, no. 6, pp. 5385-5392
  • Xu, C., Zeng, T., Luo, Y., Song, F., & Si, B.* (2025). Spatiotemporal Dual-Stream Network for Visual Odometry.. IEEE Robotics and Automation Letters., vol. 10, no. 4, pp. 3867-3874
  • Li, C., Zeng, T.*, Xue, X., & Feng, J. (2025). Towards a Vision-Language Episodic Memory Framework: Large-scale Pretrained Model-Augmented Hippocampal Attractor Dynamics.. Proceedings of the Annual Meeting of the Cognitive Science Society., vol. 47, pp. 1983-1990. Retrieved from https://escholarship.org/uc/item/7hf7t8bb

    • 2024

  • Yan, N., Guan, W., Yu, X., Hou, J.*, & Zeng, T.* (2024) A visual foundation model of image segmentation for power systems. In 2024 IEEE 14th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 569-574). IEEE.

    • 2022

  • Zeng, T., Si, B.*, & Feng, J.* (2022). A theory of geometry representations for spatial navigation. Progress in Neurobiology, 211, 102228.
  • Zeng, T., Si, B.*, & Li, X. (2022). Entorhinal-hippocampal interactions lead to globally coherent representations of space. Current Research in Neurobiology, 3, 100035.

    • 2021

  • Zeng, T., & Si, B.* (2021). A brain-inspired compact cognitive mapping system. Cognitive Neurodynamics, 15 (1), 91-101

    • 2020

  • Zeng, T., Tang, F., Ji, D., & Si, B.* (2020).NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. Neural Networks, 126, 21-35.

    • 2019

  • Zeng, T., & Si, B. (2019, April). Mobile robot exploration based on rapidly-exploring random trees and dynamic window approach. In 2019 5th International Conference on Control, Automation and Robotics (ICCAR) (pp. 51-57). IEEE.

    • 2018

  • Zeng, T.* (2018). Learning continuous control through proximal policy optimization for mobile robot navigation. In 2018 International Conference on Future Technology and Disruptive Innovation. (pp. 175-184).

    • 2017

  • Zeng, T., & Si, B.* (2017). Cognitive mapping based on conjunctive representations of space and movement. Frontiers in neurorobotics, 11, 61.
  • Zeng, T., Zhang, Z., Peng, W., Zhang, F., Shi, B. Y., & Chen, F.* (2017). Unilateral laryngeal pacing system and its functional evaluation. Neural Plasticity. Neural Plasticity,, 2017(1), 8949165.