杨鹏，博士，东南大学计算机学院、软件学院、人工智能学院教授/博导，东南大学未来网络研究中心常务副主任，国家专业标准化技术委员会委员，CCF高级会员，CES能源智慧化专委会委员。主要研究方向包括：新型网络、创新标识技术、AI与自然语言处理、区块链与网络安全、边缘计算、大数据治理等。

       2006年博士毕业于东南大学计算机科学与工程学院，并留校任教；2007年2月至2009年1月，赴欧洲核子研究中心(CERN)参加诺奖得主丁肇中教授领导的大型国际合作AMS项目。主持国家自然科学基金项目、科技创新特区项目、江苏省未来网络前瞻性研究计划课题等多项，作为核心骨干成员参与多项国家自然科学基金项目、国家863研究计划课题、中国工程院咨询研究项目等国家、部省级研究项目。在IEEE Journal on Selected Areas in Communications、ACM Trans. on Information Systems、IEEE Trans. on Neural Networks and Learning Systems、IEEE Trans. on Audio, Speech and Language Processing、Pattern Recognition、Information Processing and Management、Knowledge-Based Systems、Big Data Mining and Analytics、Applied Intelligence、Ad Hoc Networks、Computer Networks、IEEE Trans. on Emerging Topics in Computational Intelligence、The Journal of Supercomputing、EMNLP、COLING、通信学报、电子学报、软件学报、计算机研究与发展等国内外重要学术期刊和会议发表SCI/EI论文70余篇。作为第1起草人，牵头制定新型标识UCL国家标准1项；作为主要起草人，参与制定国家标准6项、IEEE国际标准1项、团体标准5项；作为第1发明人，获美国发明专利授权1项，获英国、法国、德国等欧洲发明专利授权多项，获国家发明专利授权20余项；获中国人工智能学会科技进步奖1项，获江苏省专利项目优秀奖等奖项。

• 2015/12 - 至 今， 国家专业标准化技术委员会，委员

• 2014/01 - 至 今， 东南大学未来网络研究中心，常务副主任

• 2012/10-2015/09，东南大学，博士后，合作导师：李幼平院士

• 2007/02-2009/01，欧洲核子研究中心 (CERN，Web发源地)，Research Scientist

• 2006/04 - 至 今，东南大学计算机学院，历任讲师、副教授、教授

• 2000/09-2006/04，东南大学计算机学院，硕博连读(年级第1名提前攻博)，导师：顾冠群院士

[1]  杨鹏, 李幼平等. 统一内容标签格式规范[S]. 中华人民共和国国家标准: GB/T 35304-2017.

[2]  Miao Du, Peng Yang, Wen Tian, Zhu Han. Anti-Collusion Multiparty Smart Contracts for Distributed Watchtowers in Payment Channel Networks[J]. IEEE Journal of Selected Areas in Communications, 2022, 40(12): 3600-3614. (IEEE顶刊, CCF A, IF: 16.4)

[3]  Yu Yao, Peng Yang, Guangzhen Zhao, Yanyan Ge, et al. Probabilistic Keyphrase Generation From Copy and Generating Spaces[J]. IEEE Transactions on Neural Networks and Learning Systems. (Accepted; IEEE旗舰刊, JCR Q1, IF: 10.4)

[4]  Zhongjian Hu, Peng Yang, Fengyuan Liu, Yuan Meng, Xingyu Liu. Prompting Large Language Models with Knowledge-injection for Knowledge-based Visual Question Answering[J]. Big Data Mining and Analytics. (Accepted; JCR Q1, IF: 13.6)

[5]  Bing Li, Peng Yang, Hanlin Zhao, Penghui Zhang, Zijian Liu. Hierarchical Sliding Inference Generator for Question-driven Abstractive Answer Summarization[J]. ACM Transactions on Information Systems, 2023, 41(1): 1–27. (CCF A, IF: 5.6).

[6]  Guangzhen Zhao, Guoshun Yin, Peng Yang, Yu Yao. Keyphrase Generation via Soft and Hard Semantic Corrections[C]. EMNLP 2022, December 7–11, 2022. (NLP顶会, CCF B)

[7]  Zhongjian Hu, Peng Yang, Yuanshuang Jiang, Zijian Bai. Prompting Large Language Model with Context and Pre-answer for Knowledge-based VQA[J]. Pattern Recognition. (Accepted; 领域顶刊; CCF B, JCR Q1, IF: 8.4)

[8]  Yu Yao, Peng Yang, Guangzhen Zhao, Guoshun Yin. KGAgent: Learning a Deep Reinforced Agent for Keyphrase Generation[J]. IEEE Transactions on Audio, Speech and Language Processing. (Accepted; 领域顶刊; CCF B, JCR Q1, IF: 5.4)

[9]  Peng Yang, Juncheng Leng, Guangzhen Zhao, Wenjun Li, et al. Rumor Detection Driven by Graph Attention Capsule Network on Dynamic Propagation Structures[J]. The Journal of Supercomputing, 2023, 79: 5201–5222. (JCR Q2, IF: 3.3)

[10]  Guangzhen Zhao, Peng Yang. Table-based Fact Verification with Self-labeled Keypoint Alignment[C]. COLING 2022, October 12-17, 2022. (NLP顶会, CCF B)

[11] Zhongjian Hu, Peng Yang, et al. Biomedical Extractive Question Answering Based on Dynamic Routing and Answer Voting[J]. Information Processing and Management. (Accepted; CCF B, JCR Q1, IF: 8.6)

[12] Hongmei Pei, PengYang, Weihao Li, Miao Dua, Zhongjian Hu. Proxy Re-Encryption for Secure Data Sharing with Blockchain in Internet of Medical Things[J]. Computer Networks.  (Accepted; JCR Q1, IF: 5.6)

[13] Peng Yang, Yanyan Ge, Yu Yao, Ying Yang. GCN-based Document Representation for Keyphrase Generation Enhanced by Maximizing Mutual Information[J]. Knowledge-Based Systems, Volume 243, May 2022, 108488. (JCR Q1, IF: 8.8)

[14] Guangzhen Zhao, Peng Yang. Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media[J]. ACM Transactions on Information Systems, 2021, 39(1): 1–32. (CCF A, IF: 5.6).

[15] Peng Yang, Dong Ji, Chengming Ai, Bing Li. AISE: Attending to Intent and Slots Explicitly for Better Spoken Language Understanding[J]. Knowledge-Based Systems. Volume 211, Jan. 2021, 106537. (JCR Q1, IF: 8.8)

[16] Guangzhen Zhao, Peng Yang, Yao Yu. RERG: Reinforced Evidence Reasoning with Graph Neural Network for Table-based Fact Verification. Applied Intelligence. (Published online; JCR Q2, IF: 5.3)

[17] Meng Yi, Peng Yang, Miaojiang Chen, et al. A DRL-driven Intelligent Joint Optimization Strategy for Computation offloading and Resource Allocation in Ubiquitous Edge IoT Systems Computational Intelligence to Edge AI for Ubiquitous IoT Systems[J]. IEEE Transactions on Emerging Topics in Computational Intelligence. (Accepted; JCR Q2, IF: 5.3)

[18] Peng Yang, Chengming Ai, Yu Yao, Bing Li. EKPN: Enhanced Knowledge-aware Path Network for Recommendation[J]. Applied Intelligence, 2022, 52: 9308-9319. (JCR Q2, IF: 5.3)

[19] Meng Yi, Peng Yang, Miao Du, Ruochen Ma. DMADRL: A Distributed Multi-agent Deep Reinforcement Learning Algorithm for Cognitive Offloading in Dynamic MEC Networks[J]. Neural Processing Letters (Published online; CCF C, IF: 3.1).

[20] Liang Gu, Peng Yang, Yongqiang Dong. Diversity Optimization for Recommendation Using Improved Cover Tree[J]. Knowledge-Based Systems, 2017, 135. (JCR Q1, IF: 8.8)

[21] 杨鹏, 李幼平. 支持内容智能治理的双结构互联网[J]. 通信学报, 2019, 40(9): 1-14.

[22] 李俊, 龙飞, 汪煜宇, 杨鹏, 等. 青少年互联网不健康内容分类与代码[S]. 团体标准（T/CAPT 002-2019）, 2019-5-23.

[23] Peng Yang, Youping Li, et al. Metadata Supporting Cyber Content Sharing and Governance and Application Method Thereof[P]. US010243998B2, 2019-3-26.