Bio

I am currently a research fellow at Institute for AI Industry Research (AIR) at Tsinghua University, working with Dr. Hao Zhao and Prof. Yaqin Zhang. Prior to that, I obtained my Ph.D Degree from Peking University in 2023, advised by Prof. Hongbin Zha.
My research interests include online neural field construction for vision/graphics and neural field based active vision for robotics. The major focus is to best explore and exploit the expressive power of implicit neural representation for spatial intelligence and realistic simulation.

Publications

Active Neural Mapping
ICCV 2023
Zike Yan, Haoxiang Yang, Hongbin Zha
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
CICAI 2023 (Best Paper Runner-up)
Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen, Hongmin Xiao, Chao Hou, Haozhe Lou, Yuantao Chen, Runyi Yang, Yuxin Huang, Xiaoyu Ye, Zike Yan, Yongliang Shi, Yiyi Liao, Hao Zhao
Visual-Inertial Odometry based on Kinematic Constraints in IMU Frames
IEEE RA-L 2022
Xin Wang, Yuqi Pan, Zike Yan, Hongbin Zha
Continual Neural Mapping: Learning an Implicit Scene Representation from Sequential Observations
ICCV 2021
Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha
Line Flow based Simultaneous Localization and Mapping
IEEE T-RO 2021
Qiuyuan Wang, Zike Yan, Junqiu Wang, Fei Xue, Wei Ma, Hongbin Zha
Online Learning of a Probabilistic and Adaptive Scene Representation
CVPR 2021
Zike Yan, Xin Wang, Hongbin Zha
Flow-based SLAM: From Geometry Computation to Learning
Virtual Reality and Intelligent Hardware 2019
Zike Yan, Hongbin Zha
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement
ICCV 2019
Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha

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