Xingyu Ji

30 papers A* 2C 1Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing signed graph neural networks through curriculum-based training.
Neural Networks
Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, Xiaofeng Zhu, Philip S. Yu, Jiawei Li, Maojun Wang
2026 J jnl
Fine-Grained Table Retrieval Through the Lens of Complex Queries.
CoRR
Wojciech Kosiuk, Xingyu Ji, Yeounoh Chung, Fatma Özcan, Madelon Hulsebos
2026 J jnl
Line-of-Sight-Constrained Multi-Robot Mapless Navigation via Polygonal Visible Regions.
CoRR
Ruofei Bai, Shenghai Yuan, Xinhang Xu, Xingyu Ji, Xiaowei Li, Hongliang Guo, Wei-Yun Yau, Lihua Xie
2026 J jnl
Stereo-Inertial Poser: Towards Metric-Accurate Shape-Aware Motion Capture Using Sparse IMUs and a Single Stereo Camera.
CoRR
Tutian Tang, Xingyu Ji, Yutong Li, Minghao Liu, Wenqiang Xu, Cewu Lu
2026 J jnl
Towards Human-Like Manipulation through RL-Augmented Teleoperation and Mixture-of-Dexterous-Experts VLA.
CoRR
Tutian Tang, Xingyu Ji, Wanli Xing, Ce Hao, Wenqiang Xu, Lin Shao, Cewu Lu, Qiaojun Yu, Jiangmiao Pang, Kaifeng Zhang
2025 J jnl
A Prediction Method for Highway Traffic Flow Based on the IHPO-VMD-LSTM-Informer Model.
Inf. Technol. Control.
Ruinan Wang, Yan Cao, Xingyu Ji, Di Qiao
2025 J jnl
CSGDN: contrastive signed graph diffusion network for predicting crop gene-phenotype associations.
Briefings Bioinform.
Yiru Pan, Xingyu Ji, Jiaqi You, Lu Li, Zhenping Liu, Xianlong Zhang, Zeyu Zhang, Maojun Wang
2025 J jnl
Fixer-level supervised contrastive learning for bug assignment.
Empir. Softw. Eng.
Rongcun Wang, Xingyu Ji, Yuan Tian, Senlei Xu, Xiaobing Sun, Shujuan Jiang
2025 J jnl
Gaussian Semantic Field for One-shot LiDAR Global Localization.
CoRR
Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Ruofei Bai, Siyu Chen, Lihua Xie
2025 A* conf
Self-Explainable Graph Transformer for Link Sign Prediction.
AAAI
Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang
2025 J jnl
TARGET: Benchmarking Table Retrieval for Generative Tasks.
CoRR
Xingyu Ji, Parker Glenn, Aditya G. Parameswaran, Madelon Hulsebos
2024 J jnl
An empirical assessment of different word embedding and deep learning models for bug assignment.
J. Syst. Softw.
Rongcun Wang, Xingyu Ji, Senlei Xu, Yuan Tian, Shujuan Jiang, Rubing Huang
2024 J jnl
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.
Autom. Softw. Eng.
Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang
2024 J jnl
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations.
CoRR
Yiru Pan, Xingyu Ji, Jiaqi You, Lu Li, Zhenping Liu, Xianlong Zhang, Zeyu Zhang, Maojun Wang
2024 J jnl
LIO-GVM: An Accurate, Tightly-Coupled Lidar-Inertial Odometry With Gaussian Voxel Map.
IEEE Robotics Autom. Lett.
Xingyu Ji, Shenghai Yuan, Pengyu Yin, Lihua Xie
2024 J jnl
Noether Symmetry of Multi-Time-Delay Non-Conservative Mechanical System and Its Conserved Quantity.
Symmetry
Xingyu Ji, Zhengwei Yang, Xiang-Hua Zhai
2024 J jnl
Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation.
CoRR
Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie
2024 — conf
Reliable Spatial-Temporal Voxels For Multi-modal Test-Time Adaptation.
ECCV (28)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie
2024 J jnl
SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT.
Comput. Secur.
Rongcun Wang, Senlei Xu, Yuan Tian, Xingyu Ji, Xiaobing Sun, Shujuan Jiang
2024 J jnl
SE-SGformer: A Self-Explainable Signed Graph Transformer for Link Sign Prediction.
CoRR
Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang
2024 J jnl
SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment.
CoRR
Xingyu Ji, Shenghai Yuan, Jianping Li, Pengyu Yin, Haozhi Cao, Lihua Xie
2024 J jnl
SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment.
IEEE Robotics Autom. Lett.
Xingyu Ji, Shenghai Yuan, Jianping Li, Pengyu Yin, Haozhi Cao, Lihua Xie
2024 J jnl
Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process.
CoRR
Xingyu Ji, Jiale Liu, Lu Li, Maojun Wang, Zeyu Zhang
2023 C conf
A Novel MIMO Channel Model for Underground Mine Communications.
ICCC
Xingyu Ji, Cheng-Xiang Wang, Hengtai Chang
2023 J jnl
LIO-GVM: an Accurate, Tightly-Coupled Lidar-Inertial Odometry with Gaussian Voxel Map.
CoRR
Xingyu Ji, Shenghai Yuan, Pengyu Yin, Lihua Xie
2023 J jnl
Multipath Time-Delay Estimation With Impulsive Noise via Bayesian Compressive Sensing.
IEEE Signal Process. Lett.
Xingyu Ji, Lei Cheng, Hangfang Zhao
2023 A* conf
Segregator: Global Point Cloud Registration with Semantic and Geometric Cues.
ICRA
Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Shuyang Zhang, Lihua Xie
2023 J jnl
Segregator: Global Point Cloud Registration with Semantic and Geometric Cues.
CoRR
Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Shuyang Zhang, Lihua Xie
2022 — conf
Characteristic Analysis and Modeling of Underground Space Wireless Communication Channels.
VTC Spring
Xingyu Ji, Cheng-Xiang Wang, Hengtai Chang
2022 J jnl
Physics-Guided Reduced-Order Representation of Three-Dimensional Sound Speed Fields with Ocean Mesoscale Eddies.
Remote. Sens.
Xingyu Ji, Lei Cheng, Hangfang Zhao