Rui She
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LiveCANNBench: Benchmark SWE AI Coding for Ascend CANN. | Sijie Wang, Kai Zhao, Wee Peng Tay, Shuo Zhang, Chengwen Liu, Quanjiang Guo, Junhao ren, Xin Li, Heng Lian, Jingdi Lei, Rui She, Huacan Wang, Ronghao Chen |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs. | Sijie Wang, Rui She, Qiyu Kang, Siqi Li, Disheng Li, Tianyu Geng, Shangshu Yu, Wee Peng Tay |
| 2025 | ECAI | Personalized Subgraph Federated Learning with Sheaf Collaboration. | Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay |
| 2025 | ICCV | 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 |
| 2025 | SPAA | JOVS: Joint Optimization of Vectorization and Scheduling for DNN on AI DSPs. | Yaochen Han, Hongxu Jiang, Runhua Zhang, Rui She |
| 2024 | AAAI | Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. | Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay |
| 2024 | AAAI | PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. | Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian |
| 2024 | AAAI | DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. | Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay |
| 2023 | AAAI | RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. | Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro |
| 2023 | CVPR | HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. | Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay |
| 2023 | ICIP | Robust Graph Neural Diffusion for Image Matching. | Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber |
| 2023 | IJCAI | Graph Neural Convection-Diffusion with Heterophily. | Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay |
| 2018 | GLOBECOM | State Variation Mining: On Information Divergence with Message Importance in Big Data. | Rui She, Shanyun Liu, Pingyi Fan |
| 2018 | IWCMC | Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm. | Shanyun Liu, Rui She, Jiaxun Lu, Pingyi Fan |
| 2018 | IWCMC | A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure. | Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Yunquan Dong |
| 2017 | APCC | Non-parametric message important measure: Compressed storage design for big data in wireless communication systems. | Shanyun Liu, Rui She, Pingyi Fan, Jiaxun Lu |
| 2008 | NPC | Construction and Application of Linux Virtual Server Cluster for Scientific Computing. | Hong Tang, Rui She, Chen He, Yusheng Dou |