汪鹏

Our Team.

Contact:

pwang@seu.edu.cn

I am Professor and Ph.D. supervisor of School of Computer Science and Enginnering at Southeast University. My main research area is Large Language Models (LLMs) and Knowledge Graphs (KGs), focusing on exploring novel paradigms for future general AI by fusing LLMs and classical symbolism KGs. My goal is to improve the efficiency of real-world operations and enhance the interpretability of complex decisions by deeply integrating advanced LLMs and knowledge engineering technologies, combining the understanding and generating capabilities of implicit knowledge in LLMs with the explanatory capabilities of explicit knowledge in KGs, and building intelligent systems. I have published over 140 academic papers in top conferences and journals (Such as IJCAI, AAAI, NeurIPS, SIGIR, ACL, EMNLP, COLING, ISWC, CIKM) and graduated over 60 students, who have moved on to leadership positions in academia and industries.

Admissions Requirements

Prospective 2~3 PhD students each year and 5~6 Master students each year should have a strong background in computer science and a keen interest in AI. 

2025年秋季入学硕士生还有名额，请将个人简历和成绩单发送到pwang@seu.edu.cn。

What's new

[2024-09] One paper from KGcode Lab is accepted by NeurIPS 2024, addressing the topics that adaptively optimizing the intrinsic rank of low-rank adaptation (LoRA) matrices.

[2024-05] One paper from KGcode Lab is accepted by ACL 2024, addressing the topics that leveraging the rich real-world knowledge and image synthesis capabilities of LLMs for NER.

[2024-04] Eight papers from KGcode Lab are accepted by IJCAI 2024, addressing topics such as LLMs, Knowledge Graph, and NLP.

[2024-02] One paper from KGcode Lab is accepted by LREC-COLING 2024, addressing an instructive in-context learning method for knowledge extraction.

[2023-12] Four papers from KGcode Lab are accepted by AAAI-24, addressing topics such as LLMs, Knowledge Graph, and Continual Learning.

Selected Publications

[1] Wenjun Ke, Jiahao Wang, Peng Wang, Jiajun Liu, Dong Nie, Guozheng Li, Yining Li. Unveiling LoRA Intrinsic Ranks via Salience Analysis. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS). Vancouver, Canada, December 9-15, 2024.  (CCF-A)

[2] Wenjun Ke, Ziyu Shang, Zhizhao Lu, Peng Wang, Yikai Gu, Qi Liu, Yuxuan Chen. Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion. SCIENCE CHINA Information Sciences, 67(10): 209101:1–209101:2, 2024.  (CCF-A)

[3] Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang. InstructNER: Boosting Textural NER with Synthetic Image and Instructive Alignment. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, August 11–16, 2024. （CCF-A）

[4] Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu. Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 3-8 August, 2024. （CCF-A）

[5] Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang. Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 3-8 August, 2024. （CCF-A）

[6] Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu. Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 3-8 August, 2024. （CCF-A）

[7] Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu. Incorporating Schema-Aware Description into Document-Level Event Extraction. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 3-8 August, 2024. （CCF-A）

[8] Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li. Fast and Continual Knowledge Graph Embedding via Incremental LoRA. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 3-8 August, 2024. （CCF-A）

[9] Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li. Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Korea, 3-8 August, 2024. （CCF-A）

[10] Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo. Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 20-25 May, 2024. （CCF-B）

[11] Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang. Unify Named Entity Recognition Scenarios via Contrastive Real-time Updating Prototype. Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada. Febuary 20-27, 2024. （CCF-A）

[12] Ziyu Shang, Wenjun Ke, Nanna Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji. OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada. Febuary 20-27, 2024. （CCF-A）

[13] Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen. ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada. Febuary 20-27, 2024. （CCF-A）

[14] Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu. Towards Continual Knowledge Graph Embedding via Incremental Distillation. Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada. Febuary 20-27, 2024. （CCF-A）

[15] Guozheng Li, Peng Wang, Wenjun Ke. Revisiting Large Language Models as Zero-shot Relation Extractors. Findings of the Association for Computational Linguistics: EMNLP 2023. Singapore, December 6 –10, 2023. （CCF-B）

[16] Ziyu Shang, Peng Wang, Yuzhang Liu, Jiajun Liu, Wenjun Ke. ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-world Knowledge Graph. Proceedings of the 22nd International Semantic Web Conference (ISWC-23). Athens, Greece.  2023. （CCF-B）

[17] Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi. Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23). Macao, S.A.R. 19th-25th August 2023.  （CCF-A）

[18] Peng Wang, Jiafeng Xie, Xiye Chen，Guozheng Li, Wei Li. PasCore: A Chinese Overlapping Relation Extraction Model based on Global Pointer Annotation Strategy. Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23). Macao, S.A.R. 19th-25th August 2023. （CCF-A）

[19] Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke. Online Noisy Continual Relation Learning. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23). Washington DC, USA. February 7-14, 2023. （CCF-A）

[20] Jiajun Liu, Peng Wang, Ziyu Shang, Chenxiao Wu. IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23). Washington DC, USA. February 7-14, 2023. （CCF-A）

[21] Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke. fmLRE: A Low-resource Relation Extraction Model based on Feature Mapping Similarity Calculation. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23). Washington DC, USA. February 7-14, 2023. （CCF-A）

[22] 杨俊宴, 邵典, 汪鹏, 印舜尧, 慕容卓一. 集成·拓扑·转译：一种基于知识图谱的城市形态深度解析方法. 城市规划. 2023, 47(6):9-19. （建筑学科最高级期刊）

[23] Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo. FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework. Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2022). Messe Wien, Vienna, Austria. July 23-29, 2022. （CCF-A）

[24] Peng Wang, Jiangheng Wu, Xiaohang Chen. Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-22), Madrid, Spain,  2022. （CCF-A）

[25] Peng Wang, Baowen Xu. Matching Weak Informative Ontologies. SCIENCE CHINA: Information Sciences. 2021, 64: 229101. （CCF-A）

[26] Zhe Pan, Peng Wang. Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction. Findings of the Association for Computational Linguistics: EMNLP 2021, Punta Cana, Dominican Republic, 2021. （CCF-B）

[27] Yizhan Shao, Tong Shao, Minghao Wang, Peng Wang, Jie Gao. A Sentiment and Style Controllable Approach for Chinese Poetry Generation. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM-21), 2021. （CCF-B）

[28] Yuzhang Liu, Peng Wang, Yingtai Li, Yizhan Shao, Zhongkai Xu. AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding. COLING 2020. （CCF-B）

[29] Wang Peng, Xu Baowen, Wu Yurong, et al. Link prediction in social networks: the state-of-the-art. SCIENCE CHINA: Information Sciences, 58(1): 1-38, 2015. （CCF-A）

[30] Peng Wang, Yuming Zhou, Baowen Xu. Matching Large Ontologies Based on Reduction Anchors. The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Catalonia, Spain, July 16-22, 2011. （CCF-A）

Patents

[1] 汪鹏, 李欣和, 王树鑫, 周伟, 洪天宇, 张公瑞, 蒋承欢, 陈希烨. 一种基于上下文消歧的高效表格实体链接方法. 授权公告号: CN 115828854 B

[2] 张从致, 封赋, 袁小涵, 汪鹏. 一种基于半监督方法的心脏腔室图像分割方法及装置. 授权公告号: CN 114782384 B

[3] 尚子渝, 汪鹏, 柯文俊. 一种基于多粒度层次和动态嵌入的知识图谱补全方法. 授权公告号: CN 116842199 B

[4] 汪鹏, 徐子杰. 一种基于两阶段标签校正的噪声事件抽取方法. 授权公告号: CN 115983274 B

[5] 汪鹏, 李国正.  基于卷积神经网络和改进级联标注的快速关系抽取方法. 授权公告号: CN 114 548090 B

[6] 汪鹏, 谢佳锋, 汪晓茜. 面向多源异构建筑人文史料的建筑师知识图谱构建方法. 授权公告号:CN 113806563 B

[7] 汪鹏, 邹仕艺. 一种基 于成对连通图和图神经网络的本体概念匹配方法. 授权公告号: CN 114818700 B

[8] 汪鹏, 徐忠锴. 一种精准描述知识图谱中元素语义的子图抽取方法. 授权公告号: CN 112256835 B

[9] 汪鹏, 黄腾, 吴陈霄, 陈冀张. 一种基于7-子图拓扑结构的社交网络链接预测方法. 授权公告号: CN 112767186 B

[10] 邵一展, 汪鹏, 邵彤, 高捷. 一种可控情感与风格的古诗生成方法. 授权公告号:CN 112256829 B

[11] 李浩天, 汪鹏, 朱佳涛, 曹思辰, 李翔宇, 曾家俊. 一种基于卷积神经网络和无监督语言模型的由图成诗方法. 授权公告号:CN112257775 B

[12] 李想, 汪鹏. 一种基于词嵌入技术的加解密方法. 授权公告号: CN110008723 B

[13] 汪鹏, 李想. 一种基于深度学习的通用加密算法. 授权公告号: CN110401536 B

[14] 汪鹏, 肖君彦, 孟越. 一种构建公平的链接预测评估系统的方法. 授权公告号: CN 109086373 B

[15] 汪鹏. 一种基于约简锚点的大规模知识图谱融合方法. 授权公告号: CN 109033303 B

Student Mentoring Honors

国家奖学金：刘嘉骏(2023年)；冀柯(2023年)；王政御(2023年)；邹仕艺(2022年)；李国正(2022年)

博士新生奖学金：李国正(2023年)

东南大学优秀硕士学位论文：刘玉章(2023年); 胡云燕(2023年)

江苏省优秀本科毕业设计：孟越(2019年，一等奖)；王文宇(2017年，一等奖)；赵健宇(2013年，一等奖)；尤玥(2012年，二等奖)