Xinhao Zhang

According to our database, Xinhao Zhang authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

LEKA:LLM-Enhanced Knowledge Augmentation.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

CoRR, January, 2025

Diversity-oriented Data Augmentation with Large Language Models.

Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou

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

2024

Retrieval-Augmented Feature Generation for Domain-Specific Classification.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu

CoRR, 2024

Dynamic and Adaptive Feature Generation with LLM.

Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu

CoRR, 2024

TFWT: Tabular Feature Weighting with Transformer.

Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu

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

Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions.

Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng Liu

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation.

Xinhao Zhang, Jinghan Zhang, Wujun Si, Kunpeng Liu

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues.

Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu

Proceedings of the IEEE International Conference on Big Data, 2024

Prototypical Reward Network for Data-Efficient RLHF.

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Semi-supervised weighting for averaged one-dependence estimators.

Limin Wang, Shuai Zhang, Musa Mammadov, Kuo Li, Xinhao Zhang, Siyuan Wu

Appl. Intell., 2022

Semi-supervised learning for k-dependence Bayesian classifiers.

LiMin Wang, XinHao Zhang, Kuo Li, Shuai Zhang

Appl. Intell., 2022