Xinghua Zhang

According to our database, Xinghua Zhang authored at least 30 papers between 2018 and 2024.

Collaborative distances:

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

2024

Cross-Domain NER under a Divide-and-Transfer Paradigm.

Xinghua Zhang, Bowen Yu, Xin Cong, Taoyu Su, Quangang Li, Tingwen Liu, Hongbo Xu

ACM Trans. Inf. Syst., September, 2024

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling.

Minzheng Wang, Xinghua Zhang, Kun Chen, Nan Xu, Haiyang Yu, Fei Huang, Wenji Mao, Yongbin Li

CoRR, 2024

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization.

Xinghua Zhang, Haiyang Yu, Cheng Fu, Fei Huang, Yongbin Li

CoRR, 2024

On the Role of Attention Heads in Large Language Model Safety.

Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

CoRR, 2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.

Xinghua Zhang, Haiyang Yu, Yongbin Li, Minzheng Wang, Longze Chen, Fei Huang

CoRR, 2024

Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.

Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

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

CoRR, 2024

How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States.

Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Yongbin Li

CoRR, 2024

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.

Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization.

Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.

Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment.

Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction.

Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion.

Wenhao Zhang, Shiyao Cui, Wenyuan Zhang, Xinghua Zhang, Tingwen Liu, Hongbo Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment.

Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning.

Mengyao Chen, Xinghua Zhang, Junhao Zhang, Quangang Li, Tingwen Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Prompting Generative Language Model with Guiding Augmentation for Aspect Sentiment Triplet Extraction.

Kun Huang, Yongxiu Xu, Xinghua Zhang, Wenyuan Zhang, Hongbo Xu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 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 2021 Conference on Empirical Methods in Natural Language Processing, 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