Xinghua Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Transfer Learning

Graph Representations

Keyphrase Extraction

Top Venues

ACM Trans. Inf. Syst.

Publications

Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. CoRR (2024)
Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Yongbin Li
How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States. CoRR (2024)
Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. CoRR (2024)
Xinghua Zhang, Bowen Yu, Xin Cong, Taoyu Su, Quangang Li, Tingwen Liu, Hongbo Xu
Cross-Domain NER under a Divide-and-Transfer Paradigm. ACM Trans. Inf. Syst. 42 (5) (2024)
Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment. CoRR (2024)
Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li
Wider and Deeper LLM Networks are Fairer LLM Evaluators. CoRR (2023)
Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu
Enhancing Table Retrieval with Dual Graph Representations. ECML/PKDD (4) (2023)
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. BigData (2023)
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR (2023)
Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu
Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. SIGIR (2023)
Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. AAAI (2023)
Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. SIGIR (2022)
Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. SEKE (2022)
Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. CoRR (2022)
Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. CoRR (2021)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (1) (2021)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. CoRR (2021)
Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. IJCAI (2021)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (Findings) (2021)
Xinghua Zhang, Chunyue Zhang, Huaxing Shi
Ensemble of Binary Classification for the Emotion Detection in Code-Switching Text. NLPCC (2) (2018)