Characteristic Analysis and Modeling of Underground Space Wireless Communication Channels. - Xingyu Ji; Cheng-Xiang Wang 001; Hengtai Chang (VTC Spring, 2022)

Physics-Guided Reduced-Order Representation of Three-Dimensional Sound Speed Fields with Ocean Mesoscale Eddies. - Xingyu Ji; Lei Cheng 003; Hangfang Zhao (Remote. Sens., 2022)

A Novel MIMO Channel Model for Underground Mine Communications. - Xingyu Ji; Cheng-Xiang Wang 001; Hengtai Chang (ICCC, 2023)

Segregator: Global Point Cloud Registration with Semantic and Geometric Cues. - Pengyu Yin; Shenghai Yuan; Haozhi Cao; Xingyu Ji; Shuyang Zhang; Lihua Xie 001 (ICRA, 2023)

Multipath Time-Delay Estimation With Impulsive Noise via Bayesian Compressive Sensing. - Xingyu Ji; Lei Cheng 003; Hangfang Zhao (IEEE Signal Process. Lett., 2023)

Reliable Spatial-Temporal Voxels For Multi-modal Test-Time Adaptation. - Haozhi Cao; Yuecong Xu; Jianfei Yang; Pengyu Yin; Xingyu Ji; Shenghai Yuan; Lihua Xie 001 (ECCV (28), 2024)

CSGDN: contrastive signed graph diffusion network for predicting crop gene-phenotype associations. - Yiru Pan; Xingyu Ji; Jiaqi You; Lu Li; Zhenping Liu; Xianlong Zhang; Zeyu Zhang; Maojun Wang (Briefings Bioinform., 2024)

SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT. - Rongcun Wang; Senlei Xu; Yuan Tian 008; Xingyu Ji; Xiaobing Sun 001; Shujuan Jiang (Comput. Secur., 2024)

SE-SGformer: A Self-Explainable Signed Graph Transformer for Link Sign Prediction. - Lu Li; Jiale Liu; Xingyu Ji; Maojun Wang; Zeyu Zhang (CoRR, 2024)

Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process. - Xingyu Ji; Jiale Liu; Lu Li; Maojun Wang; Zeyu Zhang (CoRR, 2024)

LIO-GVM: An Accurate, Tightly-Coupled Lidar-Inertial Odometry With Gaussian Voxel Map. - Xingyu Ji; Shenghai Yuan; Pengyu Yin; Lihua Xie 001 (IEEE Robotics Autom. Lett., 2024)

An empirical assessment of different word embedding and deep learning models for bug assignment. - Rongcun Wang; Xingyu Ji; Senlei Xu; Yuan Tian 008; Shujuan Jiang; Rubing Huang (J. Syst. Softw., 2024)

Noether Symmetry of Multi-Time-Delay Non-Conservative Mechanical System and Its Conserved Quantity. - Xingyu Ji; Zhengwei Yang; Xiang-Hua Zhai (Symmetry, 2024)

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code. - Rongcun Wang; Senlei Xu; Xingyu Ji; Yuan Tian 008; Lina Gong; Ke Wang (Autom. Softw. Eng., 2024)

SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment. - Xingyu Ji; Shenghai Yuan; Jianping Li 004; Pengyu Yin; Haozhi Cao; Lihua Xie 001 (IEEE Robotics Autom. Lett., 2024)

Self-Explainable Graph Transformer for Link Sign Prediction. - Lu Li; Jiale Liu; Xingyu Ji; Maojun Wang; Zeyu Zhang (AAAI, 2025)

A Prediction Method for Highway Traffic Flow Based on the IHPO-VMD-LSTM-Informer Model. - Ruinan Wang; Yan Cao; Xingyu Ji; Di Qiao (Inf. Technol. Control., 2025)

TARGET: Benchmarking Table Retrieval for Generative Tasks. - Xingyu Ji; Parker Glenn; Aditya G. Parameswaran; Madelon Hulsebos (CoRR, 2025)

Fixer-level supervised contrastive learning for bug assignment. - Rongcun Wang; Xingyu Ji; Yuan Tian 008; Senlei Xu; Xiaobing Sun 001; Shujuan Jiang (Empir. Softw. Eng., 2025)