Yifei Zhang

According to our database, Yifei Zhang authored at least 18 papers between 2023 and 2025.

Collaborative distances:

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

2025

Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation.

Mengdan Zhu, Senhao Cheng, Guangji Bai, Yifei Zhang, Liang Zhao

CoRR, May, 2025

GraphNarrator: Generating Textual Explanations for Graph Neural Networks.

Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

MEGL: Multimodal Explanation-Guided Learning.

Yifei Zhang, Tianxu Jiang, Bo Pan, Jingyu Wang, Guangji Bai, Liang Zhao

CoRR, 2024

TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models.

Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Liang Zhao

CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao

CoRR, 2024

STES: A Spatiotemporal Explanation Supervision Framework.

Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation.

Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Visual Attention Prompted Prediction and Learning.

Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Distilling Large Language Models for Text-Attributed Graph Learning.

Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ELAD: Explanation-Guided Large Language Models Active Distillation.

Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

XAI Benchmark for Visual Explanation.

Yifei Zhang, Siyi Gu, James Song, Bo Pan, Liang Zhao

CoRR, 2023

Visual Attention-Prompted Prediction and Learning.

Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao

CoRR, 2023

SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation.

Bo Pan, Zhenke Liu, Yifei Zhang, Liang Zhao

CoRR, 2023

Controllable Data Generation Via Iterative Data-Property Mutual Mappings.

Bo Pan, Muran Qin, Shiyu Wang, Yifei Zhang, Liang Zhao

CoRR, 2023

Saliency-Guided Hidden Associative Replay for Continual Learning.

Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao

CoRR, 2023

Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation.

Xiangru Li, Yifei Zhang, Liang Zhao

CoRR, 2023

ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation.

Siyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MAGI: Multi-Annotated Explanation-Guided Learning.

Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023