Academic Homepage

Correspondence

Mail

Jian-Bing Zhang

Natural Language Processing Group

Nanjing University, Xianlin Campus Mailbox 603

163 Xianlin Avenue, Qixia District

Nanjing 210023,China

Office:

Tel:

Email: zjb at nju.edu.cn

Research Interests

AI for Science
MultiModal Learning

Short Biography

After receiving his PhD from the Nanjing University, Jiangsu, China, Jian-Bing Zhang worked at the Nanjing University till now. He is an Associate professor and Ph.D. Supervisor at the School of Artificial Intelligence, Nanjing University.

Awards

2023 第十三届“挑战杯”大学生创业计划竞赛全国总决赛铜奖指导教师
2023 NLPCC23 Best Paper
2022 美国大学生数学建模竞赛 F 奖指导教师
2023 南京大学优秀德育导师
2022 南京大学“育教融合奖”
2022 中国大学生计算机设计大赛二等奖、江苏省特等奖指导教师
2021 第七届中国国际“互联网+”大学生创新创业大赛全国总决赛银奖指导教师
2021 第三届 DIGIX 全球校园人工智能算法精英大赛一等奖指导教师
2020 江苏省优秀专业硕士学位论文指导教师
2020 南京大学新华报业奖教金
2019 南京大学孙钟秀教育基金奖教金
2019 南京大学“本科实践教学优秀指导教师”
2018 南京大学国家双创示范基地人工智能科创实验室（南京市科创实验室）执行主任
2018 第四届“互联网+”创新创业大赛全国总决赛银奖指导教师
2017 第三届“互联网+”创新创业大赛全国总决赛铜奖指导教师
2016 第二届“互联网+”创新创业大赛全国总决赛银奖指导教师
2016 第五届江苏省大学生机器人大赛单项冠军、亚军指导教师
2016 南京大学国家双创示范基地智能机器人实验室执行主任
2010.5 南京大学“五四奖章”

Projects

科技部，科技创新2030-“新一代人工智能国家科技重大专项”重大项目子课题，跨尺度化学大模型驱动的高效快速新材料智能设计，2023/03 至 2026/02，在研，主持
国家自然科学基金委员会, 面上项目, 62176115, 预训练模型中多模态融合问题研究, 2022-01-01 至 2025-12-31, 在研, 主持
科技部，科技创新2030-“新一代人工智能国家科技重大专项”重大项目，高级强化学习理论研究，2020/11 至 2023/10，在研，主要参与人
国家自然科学基金委员会, 面上项目, 61976114, 融合细粒度情感分析的推荐系统研究, 2020-01-01 至 2023-12-31, 资助期满, 参与
国家自然科学基金委员会, 面上项目, 51975294, 基于机器学习面向复杂非线性的机电伺服作动系统高精度运动关键控制方法研究, 2020-01-01 至 2023-12-31, 资助期满, 参与
国家自然科学基金委员会, 联合基金项目, U1836221, 基于知识的智能机器翻译方法研究, 2019-01- 01 至 2022-12-31, 结题, 参与

Selected Publications

[ACL24 录用] Cheng, Kanzhi, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang and Zhiyong Wu. “SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents.” ArXiv abs/2401.10935 (2024): n. pag.
Lingxing Kong, Zheng Ma, Jianbing Zhang, Liang He, Jiajun Chen. Emored: a dataset for relation extraction in texts with emoticons. Accepted by ICASSP'2024
Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He, Jiajun Chen. A Hierarchical Network for Multimodal Document-Level Relation Extraction. Accepted by AAAI'2024
Kanzhi Cheng, Wenpo Song, Zheng Ma, Wenhao Zhu, Zixuan Zhu, Jianbing Zhang. Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model. The 31th ACM International Conference on Multimedia (ACMMM'2023), Ottawa, Canada, 2023
Zheng Ma, Mianzhi Pan, Wenhan Wu, Kanzhi Cheng, Jianbing Zhang, Shujian Huang, and Jiajun Chen. Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models. The 31th ACM International Conference on Multimedia (ACMMM'2023), Ottawa, Canada, 2023
Zheng Ma, Changxin Wang, Bo Huang, Zixuan Zhu, and Jianbing Zhang. Bounding and Filling: A Fast and Flexible Framework for Image Captioning. The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC'2023), Foshan, China, 2023
Liang He, Hongke Wang, Yongchang Cao, Zhen Wu, Jianbing Zhang, Xinyu Dai. MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation. The 31th ACM International Conference on Multimedia (ACMMM'2023), Ottawa, Canada, 2023
Shangyu Xing, Fei Zhao, Zhen Wu, Chunhui li, Jianbing Zhang and Xinyu Dai. DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking. The 31th ACM International Conference on Multimedia (ACMMM'2023), Ottawa, Canada, 2023
Robert Ridley, Zhen Wu, Jianbing Zhang, Shujian Huang, Xinyu Dai. Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023), Singapore, 2023
Fei Zhao, Chunhui li, Zhen Wu, Yawen Ouyang, Jianbing Zhang, Xinyu Dai. M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'2023), Singapore, 2023
Yawen Ouyang, Yongchang Cao, Yuan Gao, Zhen Wu, Jianbing Zhang and Xinyu Dai. On Prefix-tuning for Lightweight Out-of-distribution Detection. The 61st Annual Meeting of the Association for Computational Linguistics (ACL'2023), Toronto, Canada, 2023
Sen Yang, Shujian Huang, Wei Zou, Jianbing Zhang, Xinyu Dai and Jiajun Chen. Local Interpretation of Transformer Based on Linear Decomposition. The 61st Annual Meeting of the Association for Computational Linguistics (ACL'2023), Toronto, Canada, 2023
Zheng Ma, Shi Zong, Mianzhi Pan, Jianbing Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen. Probing Cross-modal Semantics Alignment Capability from the Textual Perspective. The 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP'2022), Abu Dhabi, 2022
Kanzhi Cheng, Zheng Ma, Shi Zong, Jianbing Zhang, Xinyu Dai, Jiajun Chen. ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora. The 11th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC'2022), Guilin, China, 2022
Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan and Jiajun Chen. Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, Aug 2019
Meng Liu,Xuyun Zhang,Chi Yang,Qiang He,Jian-Bing Zhang, Curve fitting based efficient parameter selection for robust provable data possession. Journal of Parallel and Distributed Computing.Volume 120, October 2018, Pages 62-76
Hong-Jian Xue, Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen. Deep Matrix Factorization Models for Recommender Systems. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne,
Jianbing Zhang, Yixin Sun, Shu-Jian Huang, Cam-Tu Nguyen, Xiaoliang Wang, Xin-Yu Dai, Jiajun Chen, and Yang Yu. AGRA: An analysis-generation-ranking framework for automatic abbreviation from paper titles. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017
Jian-Bing Zhang, Yi-Xin Sun, De-Chuan Zhan. Multiple-Instance Learning for Text Categorization Based on Semantic Representation. Big Data and Information Analytics, Volume 2, Number 1, January 2017 pp. 69-75
Jianbing ZHANG, Peng WU, Yingjie ZHANG, Shujian HUANG, Xinyu DAI, Jiajun CHEN. Integrating Heterogeneous Thesauruses for Chinese Synonyms. Frontiers of Computer Science.
Xin-Yu Dai, Jian-Bing Zhang, Shu-Jian Huang, Jia-Jun Chen, and Zhi-Hua Zhou. Structured sparsity with group-graph regularization. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), Austin, TX, 2015.

Course

Introduction to AI Industry, 2023-2024 spring, For undergraduate students