PhD (Tohoku University, Japan)

Master (Tohoku University, Japan)

Bachelor (Tianjin University of Science & Technology, China)

Dr. Junjie Hu received his Ph.D. degree in System Information Science from Tohoku University, Japan, in 2020. His research interests include robotic perception, multi-sensor fusion, 3D vision, and embodied AI. He has published over 30 papers in prestigious journals and conferences in the fields of artificial intelligence and robotics, such as IEEE TPAMI, IEEE TRO, ICCV, AAAI, IJCAI, ICRA, and IROS, including 14 as the first or corresponding author. He also serves as a reviewer for leading conferences and journals like CVPR, ECCV, IJCV, RA-L, JFR, ICRA, and IROS. Currently, he is leading projects funded by the Shenzhen Science and Technology Program, the Guangdong Basic and Applied Basic Research Foundation, and the Guangdong Natural Science Fund.

Journals:

1. Junjie Hu, Chenyou Fan, Liguang Zhou, Qing Gao, Honghai Liu, Tin Lun Lam, "Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 36, no. 1, pp. 796-806, 2025.
2. Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam, "Dense Depth Distillation with Out-of-Distribution Simulated Images," Knowledge-Based Systems (KBS), 284: 111312, 2024.
3. Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Lun Lam Tin, Yangsheng Xu, "Feature Pyramid Attention Network for Audio-Visual Scene Classification," CAAI Transactions on Intelligence Technology, 2024.
4. Wenrao Pang, Qing Gao, Yinan Zhao, Zhaojie Ju, Junjie Hu, "BaSICNet: Lightweight 3D Hand Pose Estimation Network Based on Biomechanical Structure Information for Dexterous Manipulator Teleoperation," IEEE Transactions on Cognitive and Developmental Systems (TCDS), vol. 16, no. 2, pp. 448-457, 2024.
5. Chenyou Fan, Junjie Hu, Jianwei Huang, "Few-Shot Multi-Agent Perception with Ranking-Based Feature Learning," in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 10, pp. 11810-11823, 2023.
6. Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam, "Deep Depth Completion from Extremely Sparse Data: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 8244-8264, 2023.
7. Junjie Hu, Chenyou Fan, Xiyue Guo, Liguang Zhou, Tin Lun Lam, "Self-supervised Single-line LiDAR Depth Completion," IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 11, pp. 7320-7327, 2023.
8. Mingjian Liang, Junjie Hu (Co-first author), Chenyu Bao, Hua Feng, Fuqin Deng, Tin Lun Lam, "Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks," IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 7, pp. 4060-4067, 2023.
9. Yuan Gao, Junfeng Chen, Xi Chen, Chongyang Wang, Junjie Hu, Fuqin Deng, Tin Lun Lam, “Asymmetric Self-play Enabled Intelligent Heterogeneous Multi-robot Catching System using Deep Multi-agent Reinforcement Learning,” IEEE Transactions on Robotics (TRO), vol. 39, no. 4, pp. 2603-2622, 2023.
10. Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu, "Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification," IEEE Transactions on Instrumentation and Measurement (TIM),  vol. 72, pp. 1-15, 2023.
11. Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam, "Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment," IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 4, pp. 8349-8356, 2021.
12. Junjie Hu, Xiyue Guo, Junfeng Chen, Guanqi Liang, Fuqin Deng, Tin Lun Lam, “A Two-stage Unsupervised Approach for Low light Image Enhancement,” IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 4, pp. 8363-8370, 2021.
13. Yan Zhang, Junjie Hu and Takayuki Okatani, “Extending Information Maximization from a Rate-Distortion Perspective,” Neurocomputing, 399: 285-295, 2020.
14. Yanbing Bai, Junjie Hu, Jinhua Su, Xing Liu, Haoyu Liu, Xianwen He, Shengwang Meng, Erick Mas, Shunichi Koshimura,“PPM-SSNet: An Pyramid Pooling Module-based Semi-Siamese Network for End-to-end Building Damage Assessment from Satellite Imagery,” Remote Sensing, 12(24): 4055, 2020.

Conferences:

1. Yun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, Junjie Hu （Corresponding author）,“DualNet: Robust Self-supervised Stereo Matching with Pseudo-label Supervision,”The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
2. Lemeng Zhao, Junjie Hu, Jianchao Bi, Yanbing Bai, Mas Erick, Shunichi Koshimura, “Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring,”IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
3. Xiyue Guo, Haocheng Peng, Junjie Hu, Hujun Bao, Guofeng Zhang,“From Satellite to Ground: Satellite Assisted Visual Localization with Cross-view Semantic Matching,” IEEE International Conference on Robotics and Automation (ICRA), 2024.
4. Junfeng Chen, Yuan Gao, Junjie Hu, Fuqing Deng, Tin Lun Lam,“Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures using Multi-robot Systems,” IEEE International Conference on Robotics and Automation (ICRA), 2024.
5. Xiyue Guo, Junjie Hu, Hujun Bao, Guofeng Zhang,“Descriptor Distillation for Efficient Multi-robot SLAM,”IEEE International Conference on Robotics and Automation (ICRA), 2023.
6. Chenyou Fan, Junjie Hu, Jianwei Huang,“Private Semi-Supervised Federated Learning,” International Joint Conferences on Artificial Intelligence (IJCAI), 2022.
7. Chenyou Fan, Junjie Hu and Jianwei Huang,“Few-Shot Multi-Agent Perception,” ACM Multimedia (ACM MM), 2021.
8. Hualie Jiang, Laiyan Ding, Junjie Hu and Rui Huang, “PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation,” International Conference on 3D Vision (3DV), 2021.
9. Junjie Hu, Yan Zhang, Takayuki Okatani,“Visualization of Convolutional Neural Networks for Monocular Depth Estimation,” 2019 IEEE International Conference on Computer Vision (ICCV), 2019.
10. Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani,“Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries,” 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.