News

[2025-02] One Place Recognition paper accepted by CVPR 2025.
[2024-12] One LiDAR NeRF paper accepted by AAAI.
[2024-11] One LLM/NER paper accepted by Coling.
[2024-09] One paper accepted by TITS.
[2024-01] One paper accepted by Information Sciences.
[2024-01] One paper accepted by TGRS.
[2023-12] Three papers accepted by AAAI.
[2023-09] One paper accepted by NeurIPS as Spotlight ✨✨✨.
[2023-09] One paper accepted by TIP.
[2023-06] One paper accepted by ICIP.
[2023-05] One paper accepted by TIP.
[2023-05] Two papers accepted by ICML and IJCAI respectively.

Selected Projects

• OpenCodeRunner: Safely and Remotely Running Multi-Language Multi-File Code
  Open-Source Project
  Sijie Wang
  

Selected Works

• Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs
  IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2025
  Sijie Wang, Rui She, Qiyu Kang, Siqi Li, Disheng Li, Tianyu Geng, Shangshu Yu, Wee Peng Tay
  
• STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  Shangshu Yu, Xiaotian Sun, Wen Li, Qingshan Xu, Zhimin Yuan, Sijie Wang, Rui She, Cheng Wang
  
• BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
  International Conference on Computational Linguistics (COLING), 2025
  Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang, Yu Zhang, Sijie Wang
  
• PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion
  IEEE Transactions on Intelligent Transportation Systems (TITS), 2024
  Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay
  
• PointDifformer: Robust Point Cloud Registration with Neural Diffusion and Transformer
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
  Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber
  
• DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
  AAAI Conference on Artificial Intelligence (AAAI), 2024
  Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
  
• PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
  AAAI Conference on Artificial Intelligence (AAAI), 2024
  Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian
  
• RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments
  IEEE Transactions on Image Processing (TIP), 2023
  Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay
  
• Robust Graph Neural Diffusion for Image Matching
  IEEE International Conference on Image Processing (ICIP), 2023
  Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
  
• HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
  IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2023
  Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
  
• RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
  AAAI Conference on Artificial Intelligence (AAAI), 2023
  Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro
  
• On the Robustness of Graph Neural Diffusion to Topology Perturbations
  Advances in Neural Information Processing Systems (NeurIPS), 2022
  Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay
  
• Building Facade Parsing R-CNN
  arXiv preprint arXiv:2205.05912
  Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
  

Others