陈想，男，南京航空航天大学计算机科学与技术学院教授，入选首批江苏青年科技人才“U35培育”对象，目前为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 。主要研究方向为自然语言处理、知识工程与机器学习，近年来在人工智能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40余篇，其中第一作者发表CCF/CAAI A类论文10余篇，Google Scholar引用3300余次，4篇论文入选Paper Digest评选的年度会议最具影响力论文之一，参与GitHub开源项目累计星标5千余次，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，并入选中国中文信息学会博士学位论文激励计划。现受邀担任ACL、NeurIPS、ICML、ICLR、TPAMI、TASLP、TNNLS、TKDD等相关会议或期刊的程序委员会委员和审稿人，以及ACL ARR、IJCAI、NeurIPS、ACM MM、ICLR等会议的高级程序委员/领域主席，现担任中国人工智能学会机器学习专委会通讯委员、中国中文信息学会青年工作委员会委员、语言与知识计算专委会委员，主持国家自然科学基金、江苏省自然科学基金、CCF-滴滴盖亚学者科研基金、CAAI-华为MindSpore科研基金等项目。

本课题组与学术界和工业界均紧密合作，聚焦大模型前沿领域开展研究与技术应用。注重培养学生的科研素养和解决实际问题的能力，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滴滴/蚂蚁/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！）

    2026级硕士持续招募中，欢迎报考！（专硕&计科学硕）

团队长期招收对安全可信大模型（强化学习、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/具身智能等领域感兴趣的研究生，同时也招收动手能力较强的校内大二本科生加入团队做大模型相关的大创/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邮箱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. ）：

[19] Xiang Chen, Yixin Ou, Quan Feng, Lei Li, Piji Li, Haibo Ye, Sheng-Jun Huang^#, Shuofei Qiao, Shumin Deng, Huajun Chen, Ningyu Zhang^#. Retrieval-augmented Prompt Learning for Pre-trained Foundation Models. IEEE Transactions on Audio,Speech, and Language Processing (TASLP), 2025. [CCF B类期刊, 中科院1区]

[18] Changliang Xu, Yukun Kang, Quan Feng, Jinghua Hua, Piji Li, Feiran Wu, Hu Wei, Xiang Chen^#, Sheng-Jun Huang, Songcan Chen. ItemRAG: Retrieval-Augmented Generation with Item-based Knowledge Computing for E-commerce Product Question Answering. Big Data Mining and Analytics (BDMA), 2025. [CCF T1类期刊, 中科院1区]

[17] 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. Findings of ACL 2025. 

[16] Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen. Agentic Knowledgeable Self-awareness. ACL 2025. [CCF A]

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

[14] 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]

[13] 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 Transactions on Audio,Speech, and Language Processing (TASLP), 2024. [CCF B类期刊, 中科院1区]

[12] Xiang Chen, Chenxi 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]

[11] Xiang Chen, Duanzheng 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]

[10] 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]

[9] 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]

[8] 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]

[7] 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]

[6] 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]

[5] 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] 

[4] 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]

[3] 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]

[2] 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]

[1] 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]

• 2020.9 -- 2024.6

  浙江大学       计算机科学与技术       博士研究生毕业       工学博士学位      导师：陈华钧教授

• 2023.11 -- 2024.6

  蚂蚁集团      智能引擎技术部      研究型实习生

• 2021.9 -- 2023.11

  阿里巴巴      达摩院/通义实验室      研究型实习生

• 2022.6 -- 至今

  青源会会员

• 2024.7 -- 至今

  中文信息学会青年工作委员会
  

• [1]大模型安全
• [2]多模态大模型
• [3]具身智能
• [4]自然语言处理