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Shangshu Yu

于尚书

Northeastern University

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About Me

My research focuses on developing intelligent 3D perception systems that enable machines to robustly understand and interact with complex, real-world environments, including LiDAR localization, scene reconstruction, depth estimation, and semantic segmentation. Building on this foundation, I am increasingly interested in embodied intelligence and world models, exploring how spatial perception can drive prediction and decision-making for autonomous agents.

Openings: I have openings for Ph.D. students, Master's students, and undergraduate interns at the School of Computer Science and Engineering, Northeastern University. If interested, please feel free to email me.

Experience & Education

  • Northeastern University | Shenyang, China
    • Associate Professor | June 2025 – Present
  • Nanyang Technological University | Singapore
    • Research Fellow (Supervisor: Prof. Lam Siew Kei) | March 2023 – May 2025
  • Xiamen University | Xiamen, China
    • Ph.D. in Computer Science (Supervisor: Prof. Cheng Wang) | Sept. 2018 – Dec. 2022
  • Northeast Forestry University | Harbin, China
    • M.E. in Computer Technology (Supervisor: Prof. Benzhi Dong) | Sept. 2016 – June 2018
  • Beihang University | Beijing, China
    • B.E. in Electronic and Information Engineering | Sept. 2011 – July 2015

Recent News & Activities

  • [2026.07] One paper got accepted by ACMMM 2026.
  • [2026.05] One paper got accepted by IEEE TMM.
  • [2026.05] One paper got accepted by ICML 2026.
  • [2025.11] One paper got accepted by AAAI 2026.
  • [2025.09] One paper got accepted by NeurIPS 2025.
  • [2025.06] Two papers got accepted by ICCV 2025.
  • [2025.02] Two papers got accepted by CVPR 2025.
  • [2025.01] One paper got accepted by IEEE TITS.
  • [2024.12] One paper got accepted by IEEE TCSVT.
  • [2024.12] One paper got accepted by AAAI 2025.
  • [2024.11] National Award for Outstanding Ph.D. Dissertation in LiDAR.
  • [2024.07] One paper got accepted by ECCV 2024.
  • [2024.03] One paper got accepted by CVPR 2024.
  • [2024.01] CVDL2024 Workshop Chair.
  • [2023.10] One paper got accepted by IEEE TITS.
  • [2023.03] One paper got accepted by CVPR 2023.
  • [2023.01] One paper got accepted by IEEE TGRS
  • [2022.11] Two papers got accepted by IEEE TITS.
  • [2022.08] One paper got accepted by PR.
  • [2021.02] One paper got accepted by ISPRS JPRS.

Selected Publications

* denotes equal contribution, # denotes corresponding author.
PontTuset
MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
Shangshu Yu, Xiaotian Sun, Wen Li#, Rui She, Hanyun Wang, Sheng Ao, Chenglu Wen, Cheng Wang#
ICML2026 (CCF-A) 
PaperCode
PontTuset
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
Qingshan Xu, Jiao Liu, Shangshu Yu#, Yuxuan Wang, Yuan Zhou#, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
AAAI2026 (CCF-A) 
PaperCode
PontTuset
GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization
Shangshu Yu, Wen Li, Xiaotian Sun, Zhimin Yuan, Xin Wang, Sijie Wang, Rui She, Cheng Wang#
NeurIPS2025 (CCF-A) 
PaperCode
PontTuset
UAVScenes: A Multi-Modal Dataset for UAVs
Sijie Wang*, Siqi Li*, Yawei Zhang*, Shangshu Yu*, Shenghai Yuan*, Rui She*, Quanjiang Guo, JinXuan Zheng, Ong Kang Howe, Leonrich Chandra, Shrivarshann Srijeyan, Aditya Sivadas, Toshan Aggarwal, Heyuan Liu, Hongming Zhang, Chujie Chen, Junyu Jiang, Lihua Xie, Wee Peng Tay
ICCV2025 (CCF-A) 
PaperCode
PontTuset
LightLoc: Learning Outdoor LiDAR Localization at Light Speed
Wen Li, Chen Liu, Shangshu Yu#, Dunqiang Liu, Yin Zhou, Siqi Shen, Chenglu Wen, Cheng Wang#
CVPR2025 (CCF-A) 
PaperCode
PontTuset
STGC-NeRF: Spatial-temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
Shangshu Yu*, Xiaotian Sun*, Wen Li*, Qingshan Xu#, Zhimin Yuan, Sijie Wang, Rui She, Cheng Wang#
AAAI 2025 (CCF-A) 
PaperCode
PontTuset
EDS-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Dynamic Scenes
Shangshu Yu, Meiqing Wu#, Siew-Kei Lam, Changshuo Wang, Ruiping Wang
IEEE TITS (IF=8.4) 
Paper
PontTuset
VFM-Depth: Leveraging Vision Foundation Model for Self-Supervised Monocular Depth Estimation
Shangshu Yu, Meiqing Wu#, Siew-Kei Lam
IEEE TCSVT (IF=11.1) 
Paper
PontTuset
NIDALoc: Neurobiologically Inspired Deep LiDAR Localization
Shangshu Yu, Xiaotian Sun, Wen Li, Chenlu Wen, Yunuo Yang, Bailu Si, Guosheng Hu, Cheng Wang#
IEEE TITS (IF=8.4) 
PaperCode
PontTuset
SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization
Wen Li*, Shangshu Yu*, Cheng Wang#, Guosheng Hu, Siqi Shen, Chenglu Wen
CVPR2023 (CCF-A) 
PaperCode
PontTuset
STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints
Shangshu Yu, Cheng Wang#, Yitai Lin, Chenglu Wen, Ming Cheng, Guosheng Hu
IEEE TITS (IF=8.4) 
PaperCode
PontTuset
LiDAR-based localization using universal encoding and memory-aware regression
Shangshu Yu, Cheng Wang, Chenglu Wen#, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li
PR (IF=7.6) 
PaperCode
PontTuset
Deep regression for LiDAR-based localization in dense urban areas
Shangshu Yu, Cheng Wang#, Zenglei Yu, Xin Li, Ming Cheng, Yu Zang
ISPRS JPRS (IF=12.2) 
Paper

Services

  • Journal Reviewers: 
    IEEE TITS, IEEE TGRS, IEEE TCSVT, IEEE TRO, IEEE TNNLS, IEEE TCSS, Neurocomputing, ISPRS JPRS.
  • Conference Reviewers: 
    CVPR, ICCV, NeurIPS, AAAI, ICML, ACM MM, ECCV, ICRA, IROS, BMVC, WACV.

Contcat

  • Email: 
    yushangshu@cse.neu.edu.cn, psyz1666@gmail.com.
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