Yulan Guo, PhD, Professor and Doctoral Supervisor at the School of Electronics and Communication Engineering, Sun Yat-sen University. His main research areas include 3D vision, spatial intelligence, and embodied robotics. He has presided over more than 10 research projects including the Key Project of the National Natural Science Foundation of China, and has published over 200 academic papers. He has been listed as a Clarivate Highly Cited Researcher worldwide and received honors such as the First Prize of the Natural Science Award from the China Computer Federation. He serves as a Senior Area Editor of IEEE Transactions on Image Processing. He has served as the General Chaire of the inaugural China Spatial Intelligence Conference, the Organization Committee Chair for all China 3D Vision Conferences, and acted as an Area Chair for top international conferences including CVPR, ICCV, ECCV, NeurIPS, and ICML.

Representative Publications：

[1] Longguang Wang, Yulan Guo*, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An. Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1), 1-18, 2025.

[2] Sheng Ao, Yulan Guo∗, Yingying Hu, Bo Yang, Andrew Markham, Zengping Chen. You Only Train Once: Learning General and Distinctive 3D Local Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3): 3949-3967, 2023.

[3] Longguang Wang, Yulan Guo*, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An. Exploring Fine-Grained Sparsity in Neural Networks for Efficient Inference. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4): 4474-4493, 2023.

[4] Yingqian Wang, Longguang Wang, Gaochang Wu, Jungang Yang*, Wei An, Jingyi Yu, Yulan Guo*. Disentangling Light Fields for Super-Resolution and Disparity Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(1): 425-443, 2023.

[5] Longguang Wang, Yulan Guo*, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An. Parallax Attention for Unsupervised Stereo Correspondence Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(4): 2108-2125, 2022.

[6] Qingyong Hu, Bo Yang*, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham. Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11): 8338-8354, 2022.

[7] Zhengfa Liang, Yulan Guo*, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu. Stereo Matching Using Multi-level Cost Volume and Multi-scale Feature Constancy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(1):300-315, 2021.

[8] Yulan Guo, Longguang Wang*, Wendong Mao, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An. Deep Lookup Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1): 202-218, 2026.

[9] Yulan Guo*, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun. Deep Learning for 3D Point Clouds: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(12): 4338-4364, 2021.

[10] Yulan Guo*, Mohammed Bennamoun, Ferdous Sohel, Min Lu, Jianwei Wan. 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11):2270-2287, 2014.

Books/Monographs：

[1] 3D Vision, Tsinghua University Press, forthcoming, co-authored (Yulan Guo, Yebin Liu)

[2] Point Cloud Intelligence, Springer Nature, 2026, co-authored (Yulan Guo, Sheng Ao, Zhiheng Fu, Hao Liu, Qingyong Hu)

[3] Image Super-Resolution Reconstruction, Sun Yat-sen University Press, 2025, co-authored (Longguang Wang, Yulan Guo, Yingqian Wang)

[4] 3D Shape Analysis: Fundamentals, Theory, and Applications, John Wiley & Sons, 2018, co-authored (Hedi Tabia, Yulan Guo, Hamid Laga, Robert B. Fisher, Mohammed Bennamoun)

Patents：

[1] A Point Cloud Registration Method and System Based on Rotation Equivariant Networks, Patent No. 202310016404.9, 2026, First Inventor

[2] Training and Recognition Method, Apparatus, Device and Medium for Point Cloud Sequence Recognition Model, Patent No. 202211674070.6, 2026, First Inventor

[3] 3D Point Cloud Panoramic Segmentation Method, Computer Apparatus and Storage Medium Based on Deep Learning and Uncertainty Estimation, Patent No. 202310019910.3, 2026, First Inventor

[4] Novel View Image Generation Method, Apparatus and Device Based on Multi-Spherical Scene Representation, Patent No. 202210843188.0, 2025, First Inventor

[5] Point Cloud Attribute Compression Method, Apparatus and Storage Medium Based on Deep Entropy Coding, Patent No. 202210153041.9, 2025, First Inventor

Research Awards：

2024: First Prize of Natural Science Award, China Computer Federation (CCF), Second Completion Recipient