汪鵬

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年秋季入學碩士生還有名額，請将個人簡曆和成績單發送到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] 楊俊宴, 邵典, 汪鵬, 印舜堯, 慕容卓一. 集成·拓撲·轉譯：一種基于知識圖譜的城市形态深度解析方法. 城市規劃. 2023, 47(6):9-19. （建築學科最高級期刊）

[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] 汪鵬, 李欣和, 王樹鑫, 周偉, 洪天宇, 張公瑞, 蔣承歡, 陳希烨. 一種基于上下文消歧的高效表格實體鍊接方法. 授權公告号: CN 115828854 B

[2] 張從緻, 封賦, 袁小涵, 汪鵬. 一種基于半監督方法的心髒腔室圖像分割方法及裝置. 授權公告号: CN 114782384 B

[3] 尚子渝, 汪鵬, 柯文俊. 一種基于多粒度層次和動态嵌入的知識圖譜補全方法. 授權公告号: CN 116842199 B

[4] 汪鵬, 徐子傑. 一種基于兩階段标簽校正的噪聲事件抽取方法. 授權公告号: CN 115983274 B

[5] 汪鵬, 李國正.  基于卷積神經網絡和改進級聯标注的快速關系抽取方法. 授權公告号: CN 114 548090 B

[6] 汪鵬, 謝佳鋒, 汪曉茜. 面向多源異構建築人文史料的建築師知識圖譜構建方法. 授權公告号:CN 113806563 B

[7] 汪鵬, 鄒仕藝. 一種基 于成對連通圖和圖神經網絡的本體概念匹配方法. 授權公告号: CN 114818700 B

[8] 汪鵬, 徐忠锴. 一種精準描述知識圖譜中元素語義的子圖抽取方法. 授權公告号: CN 112256835 B

[9] 汪鵬, 黃騰, 吳陳霄, 陳冀張. 一種基于7-子圖拓撲結構的社交網絡鍊接預測方法. 授權公告号: CN 112767186 B

[10] 邵一展, 汪鵬, 邵彤, 高捷. 一種可控情感與風格的古詩生成方法. 授權公告号:CN 112256829 B

[11] 李浩天, 汪鵬, 朱佳濤, 曹思辰, 李翔宇, 曾家俊. 一種基于卷積神經網絡和無監督語言模型的由圖成詩方法. 授權公告号:CN112257775 B

[12] 李想, 汪鵬. 一種基于詞嵌入技術的加解密方法. 授權公告号: CN110008723 B

[13] 汪鵬, 李想. 一種基于深度學習的通用加密算法. 授權公告号: CN110401536 B

[14] 汪鵬, 肖君彥, 孟越. 一種構建公平的鍊接預測評估系統的方法. 授權公告号: CN 109086373 B

[15] 汪鵬. 一種基于約簡錨點的大規模知識圖譜融合方法. 授權公告号: CN 109033303 B

Student Mentoring Honors

國家獎學金：李國正(2024年)；吳陳霄(2024年)；王嘉豪(2024年)；劉嘉駿(2023年)；冀柯(2023年)；王政禦(2023年)；鄒仕藝(2022年)；李國正(2022年)

博士新生獎學金：劉嘉駿(2024年); 尚子渝(2024年); 李國正(2023年); 

bet356手机版唯一官网優秀碩士學位論文：劉玉章(2023年); 胡雲燕(2023年)

江蘇省優秀本科畢業設計：孟越(2019年，一等獎)；王文宇(2017年，一等獎)；趙健宇(2013年，一等獎)；尤玥(2012年，二等獎)