Zhipeng Yin

According to our database, Zhipeng Yin authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

Towards fair graph-based machine learning software: unveiling and mitigating graph model bias.

Zichong Wang, Zhipeng Yin, Xingyu Zhang, Yuying Zhang, Xudong He, Shaowei Wang, Houbing Song, Liping Yang, Wenbin Zhang

AI Ethics, December, 2025

Towards Transparent AI: A Survey on Explainable Language Models.

Avash Palikhe, Zichong Wang, Zhipeng Yin, Rui Guo, Qiang Duan, Jie Yang, Wenbin Zhang

CoRR, September, 2025

AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models.

Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang

CoRR, September, 2025

Datasets for Fairness in Language Models: An In-Depth Survey.

Jiale Zhang, Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang

CoRR, June, 2025

Digital Forensics in the Age of Large Language Models.

Zhipeng Yin, Zichong Wang, Weifeng Xu, Jun Zhuang, Pallab Mozumder, Antoinette Smith, Wenbin Zhang

CoRR, April, 2025

Request and complaint recognition in call-center speech using a pointwise-convolution recurrent network.

Zhipeng Yin, Xinzhou Xu, Björn W. Schuller

Int. J. Speech Technol., March, 2025

Fairness-Aware Graph Representation Learning with Limited Demographic Information.

Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework.

Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI.

Zhipeng Yin, Zichong Wang, Avash Palikhe, Wenbin Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Fairness in Language Models: A Tutorial.

Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

FG-SMOTE: Towards Fair Node Classification with Graph Neural Network.

Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang

SIGKDD Explor., December, 2024

Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges.

Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang

SIGKDD Explor., December, 2024

FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications.

Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang

CoRR, 2024

Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking.

Zhipeng Yin, Zichong Wang, Wenbin Zhang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Accessible Health Screening Using Body Fat Estimation by Image Segmentation.

Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit.

Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023