研究兴趣
实体识别，信息抽取，大模型，低资源学习，自然语言处理
教育经历
发表论文
Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu and Yongbin Li.
Wider and Deeper LLM Networks are Fairer LLM Evaluators
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arXiv:2308.01862.
Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu and Hongbo Xu.
Endogenous and Exogenous Data Augmentation for Low-Resource Complex Named Entity Recognition
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In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), July 2024.
Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu and Tingwen Liu.
Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization
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In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), July 2024.
Hongzhang Mu, Shuili Zhang, Xinghua Zhang, Quangang Li, Tingwen Liu and Hongbo Xu.
Dynamic Multi-Modal Representation Learning for Topic Modeling
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In IEEE Conference on Multimedia Expo 2024 (ICME 2024), July 2024.
Xinghua Zhang, Bowen Yu, Xin Cong, Taoyu Su, Quangang Li, Tingwen Liu and Hongbo Xu.
Cross-domain NER under a Divide-and-Transfer Paradigm
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In ACM Transactions on Information Systems (TOIS 2024), April 2024.
Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang and Tingwen Liu.
Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
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In 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), April 2024.
Wenhao Zhang, Shiyao Cui, Wenyuan Zhang, Xinghua Zhang, Tingwen Liu and Hongbo Xu.
Improving Chinese Spelling Correction With Text-Phonetics Differentiation and Adaptive Fusion
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In 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), April 2024.
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Tingwen Liu and Chuan Zhou.
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
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In 2023 IEEE International Conference on Big Data (BigData 2023), December 2023.
Kun Huang, Yongxiu Xu, Xinghua Zhang, Wenyuan Zhang and Hongbo Xu.
Prompting Generative Language Model with Guiding Augmentation for Aspect Sentiment Triplet Extraction
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In Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023), November 2023.
Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang and Tingwen Liu.
Enhancing Table Retrieval with Dual Graph Representations
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In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 (ECML PKDD 2023), September 2023.
Xinghua Zhang, Tianyun Liu, Wenyuan Zhang and Tingwen Liu.
System Report for CCL23-Eval Task 1: Information Theory Constraint and Paragraph based Classical Named Entity Recognition
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In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (CCL 2023), August 2023.
Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu and Hongbo Xu.
Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition
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In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), July 2023.
Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang and Yu Zheng.
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
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In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), February 2023.
Xinghua Zhang, Bowen Yu, Tingwen Liu, Yubin Wang, Taoyu Su and Hongbo Xu.
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition
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In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), July 2022.
Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu and Hongbo Xu.
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction
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In Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering (SEKE 2022), July 2022.
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue and Hongbo Xu.
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
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In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), November 2021.
Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue and Ji Xiang.
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
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In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), August 2021.
Xinghua Zhang and Ying Sha.
Sentiment Analysis Method combining Word Embedding with Personalized Text Structure
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In Eighth National Social Media Processing Conference (SMP 2019), August 2019.
Xinghua Zhang, Chunyue Zhang and Huaxing Shi.
Ensemble of Binary Classification for the Emotion Detection in Code-Switching Text
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In Seventh CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2018), August 2018.
荣誉奖励
中国科学院信息工程研究所所长特别奖（Top 1%） 2023.12
博士研究生国家奖学金 2023.09
中国计算语言学大会古籍命名实体识别技术评测一等奖 2023.08
中国科学院大学三好学生标兵（Top 1%）2023.05
全国信息检索挑战杯二等奖 2021.11
中国科学院大学三好学生2020.06、2022.06
哈尔滨工业大学百优毕业论文2019.06
哈尔滨工业大学优秀毕业生2019.06
努比亚奖学金2019.03
第十一届全国大学生信息安全竞赛一等奖2018.07
光华奖学金2017.12
哈尔滨工业大学三好学生2016.12
第八届全国大学生数学竞赛一等奖(黑龙江赛区) 2016.11
学术竞赛
CCL 2023 任务一: 古籍命名实体识别评测, Rank 1/127 (Team leader)2023.06
SemEval 2022 Task 11: MultiCoNER Multilingual Complex Named Entity Recognition, Rank 6/22 (Team leader)2022.02
全国信息检索挑战杯中文命名实体识别算法鲁棒性评测, Rank 3/387 (Team leader)2021.11
NLPCC 2018 Task 1 code-switching 文本中的情感检测, Rank 1/19 (Team leader)2018.04