Yingji Li

According to our database, Yingji Li authored at least 27 papers between 2021 and 2026.

Collaborative distances:

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

2026

Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning.

Rui Song, Lida Shi, Ruihua Qi, Yingji Li, Hao Xu

CoRR, April, 2026

How GenAI tools influence the purchase intention of green products through the mediating role of emotional connection: Evidence from China.

Xingpeng Zheng, Jing Li, Yue Xia, Yingji Li

Inf. Process. Manag., 2026

Enhancing fairness in decision-making of natural language understanding systems: An intersectional bias debiasing model via information theory-based disentanglement.

Yingji Li, Juncheng Hu, Rui Song, Liang Hu

Expert Syst. Appl., 2026

Retrieval augmentation for out-of-distribution robustness in non-knowledge intensive in-context learning.

Rui Song, Yingji Li, Fausto Giunchiglia, Hao Xu

Sci. China Inf. Sci., 2026

Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction.

Juncheng Hu, Zijian Zhang, Zeyu Wang, Guoyu Wang, Yingji Li, Kedi Lyu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

KALD: A Knowledge Augmented multi-contrastive learning model for low resource abusive Language Detection.

Rui Song, Fausto Giunchiglia, Yingji Li, Jian Li, Jingwen Wang, Hao Xu

Knowl. Based Syst., 2025

Counterfactual contrastive learning for robust text classification based on word group search.

Rui Song, Fausto Giunchiglia, Yingji Li, Lida Shi, Hao Xu

Inf. Sci., 2025

Causal keyword driven reliable text classification with large language model feedback.

Rui Song, Yingji Li, Mingjie Tian, Hanwen Wang, Fausto Giunchiglia, Hao Xu

Inf. Process. Manag., 2025

BATED: Learning fair representation for Pre-trained Language Models via biased teacher-guided disentanglement.

Yingji Li, Mengnan Du, Rui Song, Mu Liu, Ying Wang

Artif. Intell., 2025

Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology.

Yali Wang, Weiwei Zhou, Yingji Li, Jingqi Sun

IEEE Access, 2025

Generalizable Graph Prompt Learning Framework with Model-level Prompt Injection and Two-Stage Prompt Tuning.

Mingchen Sun, Jiahui Hou, Yutong Zhang, Yingji Li, Ying Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization.

Mingchen Sun, Yingji Li, Ying Wang, Xin Wang

ACM Trans. Knowl. Discov. Data, September, 2024

Exploring Multiple Hypergraphs for Heterogeneous Graph Neural Networks.

Ying Wang, Yingji Li, Yue Wu, Xin Wang

Expert Syst. Appl., February, 2024

Shortcut Learning in In-Context Learning: A Survey.

Rui Song, Yingji Li, Lida Shi, Fausto Giunchiglia, Hao Xu

CoRR, 2024

Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation.

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Mingchen Sun, Ying Wang

Artif. Intell., 2024

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang

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

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification.

Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Structural-aware motif-based prompt tuning for graph clustering.

Mingchen Sun, Mengduo Yang, Yingji Li, Dongmei Mu, Xin Wang, Ying Wang

Inf. Sci., November, 2023

Learning continuous dynamic network representation with transformer-based temporal graph neural network.

Yingji Li, Yue Wu, Mingchen Sun, Bo Yang, Ying Wang

Inf. Sci., November, 2023

Measuring and mitigating language model biases in abusive language detection.

Rui Song, Fausto Giunchiglia, Yingji Li, Lida Shi, Hao Xu

Inf. Process. Manag., May, 2023

A Survey on Fairness in Large Language Models.

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang

CoRR, 2023

Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search.

Rui Song, Fausto Giunchiglia, Yingji Li, Hao Xu

CoRR, 2023

Evaluation of smart city construction and optimization of city brand model under neural networks.

Yingji Li, Yufeng Qian, Qiang Li, Linna Li

Comput. Sci. Inf. Syst., 2023

Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.

Yingji Li, Mengnan Du, Xin Wang, Ying Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Research on the detection of privacy information sharing behaviour of e-commerce users based on big data.

Dongmei Xia, Wei Chen, Yingji Li, Xuan Fu

Int. J. Auton. Adapt. Commun. Syst., 2022

Fine Clustering Analysis of Internet Financial Credit Investigation Based on Big Data.

Jingqi Sun, Yu Li, Qiang Li, Yingji Li, Yanshu Jia, Dongmei Xia

Big Data Res., 2022

2021

The effect of green economic growth on the foreign investment behaviour of heterogeneous enterprises.

Xiaohui Wei, Yingji Li

Int. J. Technol. Manag., 2021