杨鹏
职称:正高
所在院系:计算机工程系
研究方向:新型网络与统一标识、NLP与大数据治理、区块链与网络安全、边缘计算
电话:
邮箱:pengyang@seu.edu.cn
职务:
个人简介

  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,CCRC体系认证专业技术委员会委员,中国电工技术学会能源智慧化专委会委员,CCF高级会员。主要研究方向包括:新型网络与统一标识、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、安全可信数字基座等。

  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;20072月至20091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;从20141月起任东南大学未来网络研究中心常务副主任(主任为李幼平院士)。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 CommunicationsACM Trans. on Information SystemsIEEE Trans. on Neural Networks and Learning SystemsIEEE Trans. on Audio, Speech and Language ProcessingPattern RecognitionInformation Processing and ManagementComputer NetworksIEEE Internet of Things JournalKnowledge-Based SystemsBig Data Mining and AnalyticsApplied Intelligence、Wireless Networks、Ad Hoc NetworksIEEE Trans. on Emerging Topics in Computational IntelligenceThe Journal of SupercomputingEMNLPCOLING、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,牵头制定新型统一标识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、中国指挥与控制学会科技进步奖2项,获江苏省专利项目优秀奖等奖项。


研究方向
教育经历
工作经历

 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

 2007/02-2009/01CERN (Web发源地)Research Scientist,PI:诺奖得主 Samuel Ting

 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

科研项目
论文著作

[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, 2023, July: 1-15. (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): 127. (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 711, 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]  Yuankang Sun, Peng Yang, Bing Li, Zhongjian Hu, Zijian Bai. Triple-Wise Perspective Knowledge Learning for Intelligent Machine Commonsense Reasoning[J]. IEEE Internet of Things Journal. (Accepted; CCF B, JCR Q1, IF: 10.6)

[10] Hongmei Pei, PengYang, Miao Du, Zengyu Liang, Zhongjian Hu. Blockchain-assisted Verifiable Secure Multi-party Data Computing [J]. Computer Networks. (Accepted; CCF B, JCR Q1, IF: 5.6)

[11] 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: 52015222. (JCR Q2, IF: 3.3)

[12] 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)

[13] 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)

[14] 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, 2024, 245(5): 110373.  (Accepted; CCF B, JCR Q1, IF: 5.6)

[15] 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)

[16] 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): 132. (CCF A, IF: 5.6).

[17] 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)

[18] 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)

[19] 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)

[20] 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)

[21] 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).

[22] 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)

[23] 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.

[24] 李俊龙飞汪煜宇杨鹏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.

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

专利
获奖情况
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