Yingrui Ji

According to our database, Yingrui Ji authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation.

Chenhao Wang, Yingrui Ji, Yu Meng, Yao Zhu

CoRR, May, 2026

2025

SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery.

Chenhao Wang, Yingrui Ji, Yu Meng, Yunjian Zhang, Yao Zhu

CoRR, September, 2025

RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing.

Chenhao Wang, Yingrui Ji, Yu Meng, Yunjian Zhang, Yao Zhu

CoRR, September, 2025

ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories.

Dou Jiabao, Nie Jiayi, Yihang Cheng, Jinwei Liu, Yingrui Ji, Canran Xiao, Feixiang Du, Jiaping Xiao

CoRR, August, 2025

E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction.

Jiacheng Xie, Yingrui Ji, Linghuan Zeng, Xi Xiao, Gaofei Chen, Lijing Zhu, Joyanta Jyoti Mondal, Jiansheng Chen

CoRR, February, 2025

MGD-YOLO: An Enhanced Road Defect Detection Algorithm Based on Multi-Scale Attention Feature Fusion.

Zhengji Li, Fazhan Xiong, Boyun Huang, Meihui Li, Xi Xiao, Yingrui Ji, Jiacheng Xie, Aokun Liang, Hao Xu

Comput. Mater. Continua, 2025

E²CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction.

Jiacheng Xie, Yingrui Ji, Linghuan Zeng, Xi Xiao, Gaofei Chen, Lijing Zhu, Joyanta Jyoti Mondal, Jiansheng Chen

Proceedings of the International Joint Conference on Neural Networks, 2025

Boosting Active Learning with Knowledge Transfer.

Tianyang Wang, Xi Xiao, Gaofei Chen, Xiaoying Liao, Guo Cheng, Yingrui Ji

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation.

Tianyang Wang, Xi Xiao, Gaofei Chen, Hanzhang Chi, Qi Zhang, Guo Cheng, Yingrui Ji

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Enhancing Out-of-Distribution Detection through Dynamic Activation Function.

Yingrui Ji, Yao Zhu, Zhigang Li, Jiansheng Chen, Yunlong Kong, Jingbo Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CIBR: Cross-Modal Information Bottleneck Regularization for Robust CLIP Generalization.

Yingrui Ji, Xi Xiao, Gaofei Chen, Hao Xu, Chenrui Ma, Lijing Zhu, Aokun Liang, Jiansheng Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

2024

Current status and trends of technology, methods, and applications of Human-Computer Intelligent Interaction (HCII): A bibliometric research.

Zijie Ding, Yingrui Ji, Yan Gan, Yuwen Wang, Yukun Xia

Multim. Tools Appl., August, 2024

Deep Active Learning with Manifold-preserving Trajectory Sampling.

Yingrui Ji, Vijaya Sindhoori Kaza, Nishanth Artham, Tianyang Wang

CoRR, 2024

UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models.

Jiayi Guo, Zan Chen, Yingrui Ji, Liyun Zhang, Daqin Luo, Zhigang Li, Yiqing Shen

CoRR, 2024

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design.

Yingrui Ji, Yao Zhu, Zhigang Li, Jiansheng Chen, Yunlong Kong, Jingbo Chen

CoRR, 2024

2021

Many-core acceleration of the first-principles all-electron quantum perturbation calculations.

Honghui Shang, Xiaohui Duan, Fang Li, Libo Zhang, Zhiqian Xu, Kan Liu, Haiwen Luo, Yingrui Ji, Wenxuan Zhao, Wei Xue, Li Chen, Yunquan Zhang

Comput. Phys. Commun., 2021