陈想

个人信息Personal Information

教授 硕士生导师

性别:男

毕业院校:浙江大学

学历:博士研究生毕业

学位:博士学位

所在单位:计算机科学与技术学院/软件学院

办公地点:南京航空航天大学将军路校区西区1号楼1209室

联系方式:xiang_chen@nuaa.edu.cn

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个人简介Personal Profile

陈想,男,南京航空航天大学计算机科学与技术学院教授,模式分析与机器智能(工信部)重点实验室、南航百强科研团队成员。博士毕业于浙江大学,研究方向为自然语言处理和多媒体智能,主要包括大模型内容安全、大模型知识增强、跨媒体知识推理等。近年来在相关领域顶级会议或期刊如NeurIPS、ICLR、IJCAI、ACL、EMNLP、NAACL、SIGIR、WWW、TASLP等发表学术论文30余篇,Google Scholar引用2700余次,其中4篇论文入选Paper Digest评选的年度会议最具影响力论文,参与GitHub开源项目累计星标超5千次,受邀担任了ACL、EMNLP、NeurIPS、ICML、ICLR、TPAMI、TALLIP、TASLP、TNNLS、TKDD等相关会议或期刊的程序委员会委员和审稿人,并担任了EMNLP、EACL、IJCAI、NeurIPS、ACM MM等会议的高级程序委员/领域主席,曾获浙江大学优秀毕业生、阿里巴巴优秀学术实习生等荣誉称号,主持或主要参与国家自然科学基金、CCF-百度松果基金等项目。本课题组以实践应用为导向,聚焦大模型前沿领域,科研氛围浓厚,可推荐表现优异的同学去浙江大学/东南大学等高校深造以及阿里/腾讯/美团等大厂实习,并支持参加各项国内外学术交流活动。在完成基本的科研和项目要求下支持研二下学期五月份开始的自由实习,直至开始毕业论文!

    2026级硕士持续招募中,欢迎报考!

持续招收有志于从事大模型内容安全(安全对齐、幻觉治理、知识增强等)、自然语言处理(知识抽取、RAG、NL2SQL)、多模态大模型等领域、具有自驱力的硕/博士生,同时也招收动手能力较强的校内本科生加入团队做大模型相关的科研/大创/竞赛,若您符合上述要求且有意加入,烦请将个人简历发送至xiang_chen@nuaa.edu.cn,期待一起做出高质量的研究工作!



Selected Publication(*: Equal Contribution, #: Corresponding Author. For more publications, you can visit Google Scholar to learn more. ):

 Yuxia Geng, Runkai Zhu, Jiaoyan Chen, Jintai Chen, Zhuo Chen, Xiang Chen#, Can Xu, Yuxiang Wang, Xiaoliang Xu, Sheng-Jun Huang. Cross-composition Feature Disentanglement for Compositional Zero-shot Learning. ACL 2025 Findings

 Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen. Cross-composition Feature Disentanglement for Compositional Zero-shot Learning. ACL 2025[CCF A]

 Chenxi Wang*Xiang Chen*,  Ningyu Zhang, et al. MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation, ICLR 2025[TH-CPL A]

 Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen. Agent Planning with World Knowledge Model. NeurIPS 2024[CCF A]

 Xiang ChenChenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Jinjie Gu, Huajun Chen. Unified Hallucination Detection for Multimodal Large Language Models. ACL 2024[CCF A]

● Xiang ChenDuanzheng Song, Honghao Gui, Chengxi Wang, Ningyu Zhang, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen. FactCHD: Benchmarking Fact-Conflicting Hallucination Detection, IJCAI 2024[CCF A]

● Xiang Chen, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Shumin Deng, Yongheng Wang, Luo Si, Huajun Chen, Ningyu Zhang. Continual Multimodal Knowledge Graph Construction, IJCAI 2024. [CCF A]

● Xiang Chen, Lei Li, Qiaoshuo Fei, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen. One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER, IJCAI 2023. [CCF A]

● Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen. Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning, NeurIPS 2022 (Spotlight)[CCF A]

● Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen. Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning, SIGIR 2022. [CCF A]

● Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen. Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion, SIGIR 2022(Most Influential SIGIR'22 Papers[CCF A]

● Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen. Knowprompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction, WWW 2022 (Most Influential WWW'22 Papers[CCF A] 

● Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen. Sequence Labeling as Non-Autoregressive Dual-Query Set Generation, IEEE/ACM Transactions on Audio,Speech, and Language Processing, 2024. [CCF B, JCR Q1]

● Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen. Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction, NAACL 2022[CCF B]

● Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang. LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting, COLING 2022. [CCF B]

● Ningyu Zhang*, Xiang Chen*, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen. Document-level Relation Extraction as Semantic Segmentation, IJCAI 2021 (Most Influential IJCAI'21 Papers. [CCF A]

● Luoqiu Li*, Xiang Chen*, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang, Huajun Chen. On robustness and bias analysis of bert-based relation extraction. China Conference on Knowledge Graph and Semantic Computing(CCKS 2021) [Best Paper Award]

  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 大模型内容安全、知识增强

  • 多模态大模型、跨媒体知识推理

  • 多智能体系统、无人机协同

  • 表格视觉问答、知识图谱