Xinghua Zhang

According to our database, Xinghua Zhang authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.

Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li

CoRR, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou

CoRR, 2023

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition.

Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Enhancing Table Retrieval with Dual Graph Representations.

Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu

Proceedings of the IEEE International Conference on Big Data, 2023

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation.

Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling.

Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng

CoRR, 2022

Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition.

Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction.

Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

2021

Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation.

Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.

Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2018

Ensemble of Binary Classification for the Emotion Detection in Code-Switching Text.

Xinghua Zhang, Chunyue Zhang, Huaxing Shi

Proceedings of the Natural Language Processing and Chinese Computing, 2018