Wang, Sijie

18 publications

IJCAI 2025 Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-Training Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao

NeurIPS 2025 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

CVPR 2025 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

AAAI 2025 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

ICCV 2025 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

AAAI 2024 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

AAAI 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay

NeurIPS 2024 DropEdge Not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li

AAAI 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu

AAAI 2024 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

NeurIPSW 2023 Advancing Graph Neural Networks Through Joint Time-Space Dynamics Qiyu Kang, Yanan Zhao, Kai Zhao, Xuhao Li, Qinxu Ding, Wee Peng Tay, Sijie Wang

NeurIPS 2023 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

NeurIPSW 2023 Coupling Graph Neural Networks with Non-Integer Order Dynamics: A Robustness Study Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay

IJCAI 2023 Graph Neural Convection-Diffusion with Heterophily Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

CVPR 2023 HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay

ICML 2023 Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay

AAAI 2023 RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro

NeurIPS 2022 On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay