杨燕 - 华东师范大学 - 计算机科学与技术学院

个人简介

博士，副教授，主要研究方向为语言认知与知识计算，包括自然语言处理、知识图谱以及对话系统，在国内外核心刊物和国际会议发表学术论文SCI/EI检索论文四十篇，获得10余项发明专利授权，获得2次上海市科技进步二等奖，作为项目责任人主持了1项国家科技支撑项目和4项上海市科委经信委重大重点科研项目以及多项企业课题，作为主要研究人员参与了10余项国家级和上海市级科研项目。教育经历本科计算机科学与技术华东师范大学计算机系硕士系统分析与集成华东师范大学计算机系博士计算机应用华东师范大学计算机系工作经历华东师范大学计算机科学与技术学院荣誉及奖励 2016年《基于智能问答的智能服务机器人关键技术及应用》获得上海市科技进步二等奖

研究领域

自然语言处理和知识计算，研究兴趣为多技能对话系统，着重将知识与自然语言结合研究医疗、教育、金融等应用场景的自然语言理解、小样本知识抽取、知识引导的预测推理、约束对话生成等任务

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Ming Gu, Yan Yang, Chengcai Chen，and Yu Zhou. State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking ACML2023. Z. Tan，Yan Yang* et al., Prompt Enhanced Generative MRC Framework for Pancreatic Cancer NER, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 817-820. Yupei Du, Qi Zheng, Yuanbin Wu*, Man Lan, Yan Yang*, Meirong Ma. Understanding Gender Bias in Knowledge Base Embedding Understanding Gender Bias in Knowledge Base Embeddings. ACL (1) 2022: 1381-1395 J. Zhang, Y. Yang*, C. Chen, L. He, and Z. Yu. KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals. Findings of the Association for Computational Linguistics: EMNLP 2021, pages 1092–1101. Yucheng Li, Yan Yang*, Qinmin Hu, Chengcai Chen, Liang He. An Argument Extraction Decoder in Open Information Extraction. Advances in Information Retrieval，Advances in Information Retrieval ECIR 2021 pp 313-326. .J. Zhang, Y. Sun, Y. Zhang*, W. Xu, J. Ying, Y. Yang, M. Lan, M. Ma, H. Yuan, and J. Zhu. RoKGDS: A Robust Knowledge Grounded Dialog System. NLPCC 2021: 377–387. Daomiao Song, Ailian Fang, Yan Yang,A Context-Aware Model with Flow Mechanism for Conversational Question Answering, ICONIP 2021. .Jiaying Hu, Yan Yang*, Chencai Chen, Liang He, Zhou Yu:SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing. ACL 2020: 6366-6375. J. Zhang, Y. Yang*, C. Chen, L. He, and Z. Yu Generating Emotional Social Chatbot Responses with a Consistent Speaking Style. NLPCC 2020,57-68. Pei Huo, Yan Yang*, Jie Zhou, Chengcai Chen, Liang He:TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN 2020: 1-8. Lei Zhan, Yan Yang*, Pinpin Zhu, Liang He, Zhou Yu:Using Dilated Residual Network to Model Distantly Supervised Relation Extraction. DASFAA (3) 2019: 500-504. Yun Li, Yan Yang*, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He, Zhou Yu:Dependent Multilevel Interaction Network for Natural Language Inference. ICANN (4) 2019: 9-21. Qi Zhang, Yan Yang*, Chengcai Chen, Liang He, Zhou Yu:Knowledge Adaptive Neural Network for Natural Language Inference. IJCNN 2019: 1-8. Weijie An, Qin Chen, Yan Yang*, Liang He:Knowledge Memory Based LSTM Model for Answer Selection. ICONIP (2) 2017: 34-42. Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang:Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI 2017: 301-308. Xin Ouyang, Yan Yang*, Liang He, Qin Chen, Jiacheng Zhang:Representation Learning with Entity Topics for Knowledge Graphs. KSEM 2017: 534-542. Weijie An, Mengfei Shi, Xin Ouyang, Yan Yang*, Qinmin Hu, Liang He:ECNU at 2016 LiveQA Track: A Parameter Sharing Long Short Term Memory Model for Learning Question Similarity. TREC 2016. Zhijin Wang, Yan Yang*, Qinmin Hu, Liang He:An Empirical Study of Personal Factors and Social Effects on Rating Prediction. PAKDD (1) 2015: 747-758. Weiqian Zhang, Weijie An, Jinchao Ma, Yan Yang*, Qinmin Hu, Liang He:ECNU at TREC 2015: LiveQA Track. TREC 2015. Yan Yang, Qinmin Hu, Liang He, Minjie Ni, Zhijin Wang:Adaptive Temporal Model for IPTV Recommendation. WAIM 2015: 260-271. Zhijin Wang, Yan Yang*, Liang He, Junzhong Gu:User Identification within a Shared Account: Improving IP-TV Recommender Performance. ADBIS 2014: 219-233. Qin Chen, Yan Yang*, Qinmin Hu, Liang He:Locating Query-oriented Experts in Microblog Search. SMIR@SIGIR 2014: 16-23. Yan Yang, Liang He, Xueming Cai:A dynamic trust evaluation algorithm based on subjective logic in pervasive computing environment. ICARCV 2008: 1078-1083. 已发表的期刊论文 B. Li, B. Wang, P. Zhuang, H. Cao, S. Wu, Z. Tan, S. Gao, P. Li, W. Jin, Z. Shao, K. Zheng, L. Wu, B. Gao, Y. Wang, H. Jiang, S. Guo, L. He*, Y. Yang*, G. Jinzz*, A novel staging system derived from natural language processing of pathology reports to predict prognostic outcomes of pancreatic cancer: a retrospective cohort study. Int J Surg (2023). doi: 10.1097/JS9.0000000000000648.[影响因子：15.3] 陈妍,杨燕*,孙宇翔,庄鹏杰,陈成才,贺樑.基于用户预期情绪感知策略选择的情感支持对话系统,中文信息学报 2023. Zhang, Yushi, Yan Yang*, Ming Gu, Feng Gao, Chengcai Chen and Liang He. “CEG: A joint model for causal commonsense events enhanced story ending generation.” PLOS ONE 18 (2023): n. pag. 张骏,杨燕*,霍沛,孙宇翔,李程烽,李勇,知识感知的多类型对话推荐.中文信息学报 2021 Vol. 35 (5): 110-117. 张凉,杨燕*,陈成才,贺樑. 基于多视角对抗学习的开放域对话生成模型[J]. 计算机应用研究,2021,38(2):372-376. Yongcheng Wu, Xin Lin, Yan Yang*, Liang He:Cleaning uncertain graphs via noisy crowdsourcing. World Wide Web 22(4): 1523-1553 (2019). Jianfeng Yu, Yan Yang*, Chengcai Chen, Liang He, Zhou Yu:DAFA: Dialog System Domain Adaptation With a Filter and an Amplifier. IEEE Access 8: 45041-45049 (2020). 陈素,杨燕*,胡琴敏,贺樑,陈成才.医学领域中基于注意力机制的查询扩展.计算机系统应用,2019,28(8):197-203. 史梦飞,杨燕*,贺樑,陈成才.基于Bi-LSTM和CNN并包含注意力机制的社区问答问句分类方法.计算机系统应用,2018,27(9):157-162. 杜泽宇,杨燕*, 贺樑. 基于中文知识图谱的电商领域问答系统[J]. 计算机应用与软件, 2017(05):159-165. 杨燕, 霍晓骏, 贺樑. 赞助商式广告推荐系统中数据稀疏问题的研究[J]. 小型微型计算机系统, 2015(9):1993-1997. 杨燕，顾君忠.联邦式LDAP目录服务系统的研究与实现[J].计算机应用，2004(6):51-53.