杨敏，副研究员，博士生导师，中科院深圳先进院高性能数据挖掘重点实验室主任，中国科学院青年创新促进会成员, 深圳市海外高层次人才，深圳市海外高层次人才创新创业团队核心成员，入选美国斯坦福大学发布的2021/2022全球前2％顶尖科学家, 入选百度发布的2022年度AI华人青年学者榜单。长期从事人工智能、自然语言处理、智慧司法相关研究并取得了一系列研究成果，在中科院一/二区期刊和CCF A/B类学术会议上发表学术论文100余篇，主要发表在ACL、AAAI、IJCAI、SIGIR、WWW、KDD、EMNLP、IEEE TOC、IEEE TMM、IEEE TNNLS、IEEE TKDE等。相关研究成果受到了学术界关注，截止到目前，已发表论文共获得国内外学者引用超过4600次，H-index 36（据谷歌学术统计）。获得中国人工智能学会2018年度最佳青年科技成果奖、2019年度CCF-腾讯犀牛鸟基金优秀专利奖、第五届全国青年人工智能创新创业大赛一等奖等。担任自然语言顶级会议ACL、EMNLP、COLING、NAACL、NeurIPS等领域主席。长期担任IEEE TOC、IEEE TMM、IEEE TNNLS、IEEE TKDE, TACL, WWWJ、JASIST等国际知名期刊评审人。是中国中文信息学会青年工作委员会执行委员、深圳人工智能学会法律人工智能专业委员会主任等。

详情请参考个人主页：https://minyang.me/

​

081203-计算机应用技术
081202-计算机软件与理论

自然语言处理
人工智能
推荐系统

2012-09--2017-02   香港大学   博士

博士

博士

2012年-2017年， 香港大学，博士

2022年12月-至今，中国科学院深圳先进技术研究院，数字所数据挖掘实验室主任

2020年-至今，中国科学院深圳先进技术研究院，副研究员

2018年-2019年，中国科学院深圳先进技术研究院，助理研究员

2017年-2017年，腾讯，高级研究员

2019-01-01-今,审稿人, 担任IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, Neurocomputing, World Wide Web Journal, GeoInformatica, International Journal of Machine Learning and Cybernetics, Journal of Network and Systems Management, Information Sciences, Knowledge-Based Systems, IEEE Acess等期刊审稿人.
2018-01-01-今,PC Member, 担任AAAI, IJCAI, ACL, COLING, EMNLP, NAACL审稿人

数据挖掘

2018 年暑假，中国科学院深圳先进技术研究院，讲师，数据挖掘 (40 课时)

（1） CCF-腾讯犀牛鸟基金优秀专利奖, 专项, 2019
（2） 2019年全国青年人工智能创新创业大赛, 一等奖, 其他, 2019
（3） 中国人工智能学会 2018 年度最佳青年科技成果奖, 特等奖, 其他, 2018
（4） 深圳市海外高层次人才 (孔雀计划) C 类, , 市地级, 2018
（5） 深圳市南山区“领航人才”C类, 市地级, 2018
（6） AAAI’17 学生奖学金, 其他, 2017
（7） SIGIR‘16 旅行奖学金, 其他, 2016
（8） 香港大学研究生奖学金, 研究所（学校）, 2016
（9） AAAI‘15 学生奖学金, 其他, 2015

[1] 高恒源, 杨敏, 雷宇. 一种合同风险检测方法、装置、电子设备及存储介质. CN: CN116051318A, 2023-05-02.
[2] 温嘉宝, 杨敏, 贺倩明. 一种基于深度学习的文献检索方法和系统. CN: CN115495555A, 2022-12-20.
[3] 惠彬原, 王李翰, 秦博文, 李博文, 黎槟华, 李永彬, 黄非, 杨敏. 表格问答数据处理及模型训练方法、电子设备及存储介质. CN: CN115221299A, 2022-10-21.
[4] 钟泽艺, 杨敏, 贺倩明. 一种基于对比学习的长文本检索模型. CN: CN114201581A, 2022-03-18.
[5] 杜彦璋, 杨敏, 贺倩明. 一种法律条文检索方法、终端设备及计算机存储介质. CN: CN113806510A, 2021-12-17.
[6] 杨敏, 原发杰, 王李翰, 李成明, 姜青山. 基于样本回放的序列推荐模型的持续学习方法. CN: CN113590958A, 2021-11-02.
[7] 汪书鹏, 刘俊浩, 杨敏, 姜青山. 基于迭代网络组合的情感分类持续学习方法及存储介质. CN: CN113590748A, 2021-11-02.
[8] 陈磊, 杨敏, 原发杰, 李成明, 姜青山. 自适应蛋白质预测框架的实现方法、装置及设备. CN: CN113257361A, 2021-08-13.
[9] 杨敏, 贺倩明, 方正. 一种基于深度学习的无监督文本检索方法. CN: CN113254586A, 2021-08-13.
[10] 杨敏, 罗羊, 李成明, 贺倩明. 图像检索方法、商标检索方法、电子设备以及存储介质. CN: CN113505257A, 2021-10-15.
[11] 刘啸, 杨敏, 李成明, 姜青山. 机器阅读理解方法、电子设备及存储介质. CN: CN113282722A, 2021-08-20.
[12] 刘啸, 杨敏, 李成明, 姜青山. 一种层次化会话式机器阅读理解系统和方法. CN: CN113010662A, 2021-06-22.
[13] 周献杭, 杨敏, 申妍燕, 贺倩明. 数据检索方法、装置、设备及计算机可读存储介质. CN: CN113515621A, 2021-10-19.
[14] 王佳纯, 原发杰, 吴庆耀, 杨敏, 李成明, 姜青山. 序列推荐模型的训练方法、信息推荐方法及相关装置. CN: CN112559861A, 2021-03-26.
[15] 秦博文, 杨敏, 李成明, 姜青山. 对话生成模型的训练方法、对话方法、设备以及存储介质. CN: CN112559706A, 2021-03-26.
[16] 李杰坷, 杨敏, 李成明, 贺倩明. 一种基于深度学习的长文本检索系统及方法. CN: CN112632216A, 2021-04-09.
[17] 李成明, 杨敏, 姜青山. 网络流的特征提取方法、网络流异常检测方法及相关装置. CN: CN112671600A, 2021-04-16.
[18] 汪书鹏, 原发杰, 杨敏, 姜青山. 基于自适应不确定性正则化的情感分类持续学习方法. CN: CN112559738A, 2021-03-26.
[19] 何万伟, 杨敏, 李成明, 姜青山. 一种基于对抗训练的端到端任务型对话学习框架和方法. CN: CN112541060A, 2021-03-23.
[20] 赵笑艳, 杨敏, 曲强. 一种基于知识蒸馏的实体关系抽取方法. CN: CN112528034A, 2021-03-19.
[21] 杨敏, 原发杰, 孙洋, 李成明, 姜青山. 一种基于网络自协作的隐式推荐方法和系统. CN: CN112464104A, 2021-03-09.
[22] 陈磊, 杨敏, 原发杰, 李成明, 姜青山. 一种基于陆地移动距离进行知识蒸馏的序列推荐方法. CN: CN112507209A, 2021-03-16.
[23] 杨敏, 原发杰, 刘夺, 李成明, 姜青山. 网络模型的训练方法、信息推送方法及相关装置. CN: CN112434213A, 2021-03-02.
[24] 刘俊浩, 杨敏, 李成明, 徐睿峰, 姜青山. 检索模型的训练和识别方法、电子设备及存储介质. CN: CN112287134A, 2021-01-29.
[25] 王振伟, 杨敏, 李成明, 姜青山. 回复消息生成方法、系统、计算机设备及存储介质. CN: CN112214585A, 2021-01-12.
[26] 陈磊, 杨敏, 原发杰, 李成明, 姜青山. 一种基于自适应网络深度的序列推荐方法和系统. CN: CN111931058A, 2020-11-13.
[27] 陈磊, 杨敏, 原发杰, 李成明, 姜青山. 一种自适应输出的序列推荐方法和系统. CN: CN111931057A, 2020-11-13.
[28] 陈磊, 杨敏, 原发杰, 李成明, 姜青山. 一种基于改进残差结构的序列推荐方法和系统. CN: CN111931054A, 2020-11-13.
[29] 吕子钰, 禹一童, 杨敏, 李成明, 姜青山. 一种电影多标签分类方法、装置、电子设备以及存储介质. CN: CN112084371A, 2020-12-15.
[30] 李成明, 杨敏, 吕子钰, 姜青山. 数据分享网络的控制方法、网络系统及相关装置. CN: CN111935781A, 2020-11-13.
[31] 黄薇屹, 杨敏, 曲强, 姜青山, 贺倩明. 问答模型的训练方法、计算机设备以及可读存储介质. CN: CN111737426B, 2021-06-01.
[32] 赵笑艳, 杨敏, 曲强, 贺倩明. 中文分词方法、训练设备以及计算机可读存储介质. CN: CN111666758B, 2022-03-22.
[33] 杨敏, 原发杰, 孙洋. 一种基于序列推荐系统的通用网络压缩框架和压缩方法. CN: CN111368995A, 2020-07-03.
[34] 杨敏, 原发杰, 孙洋. 一种基于序列推荐系统的通用网络压缩框架和压缩方法. CN: CN111368995B, 2023-05-02.
[35] 陈磊, 杨敏, 原发杰, 吕子钰, 李成明. 一种基于自适应微调策略的跨领域序列推荐方法. CN: CN111159542A, 2020-05-15.
[36] 吕子钰, 杨敏, 姜青山, 李成明. 一种群组的项目推荐方法、智能终端以及存储装置. CN: CN111177577A, 2020-05-19.
[37] 杨敏, 姜青山, 曲强, 李成明, 贺倩明. 文本的查询方法、文本查询装置以及计算机存储介质. CN: CN111159331B, 2021-11-23.
[38] 杨敏, 刘俊浩, 李成明, 姜青山. 对抗网络架构的优化方法、图像描述生成方法和系统. CN: CN111105013B, 2023-08-11.
[39] 杨敏, 刘俊浩, 李成明, 姜青山. 对抗网络架构的优化方法、图像描述生成方法和系统. CN: CN111105013A, 2020-05-05.
[40] 杨敏, 李成明, 姜青山. 一种图像描述方法、图像描述装置及计算机存储介质. CN: CN111046904B, 2021-11-23.
[41] 杨敏, 闭玮, 刘晓江, 陈磊, 黄婷婷. 模型训练方法、对话生成方法、装置、设备及介质. CN: CN110188182A, 2019-08-30.
[42] 杨敏, 曲强. 实时事件摘要的生成方法、装置、设备及存储介质. CN: CN110297885A, 2019-10-01.
[43] 杨敏, 曲强, 陈磊, 姜青山. 一种基于多任务学习的方面级别文本情感转换方法. CN: CN110083702A, 2019-08-02.
[44] 曲强, 杨敏, 陈磊. 动态加权网络的时间链路预测方法、装置、设备及介质. CN: CN110138595A, 2019-08-16.
[45] 杨敏, 曲强, 陈磊. 胶囊网络的训练方法、分类方法、系统、设备及存储介质. CN: CN110046249A, 2019-07-23.
[46] 曲强, 杨敏. 一种基于自动编码的文本表示学习方法、系统及电子设备. CN: CN109582786A, 2019-04-05.

最新论文列表请看个人主页（https://minyang.me/）

[1] Knowledge-Based Systemsnull. 2024, [2] ACM Transactions on Information Systemsnull. 2024, [3] Transactions of the Association for Computational Linguisticsnull. 2024, [4] IEEE Transactions on Neural Networks and Learning Systemsnull. 2024, [5] IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)null. 2024, [6] International Conference on Computational Linguistics (COLING)null. 2024, [7] International Conference on Computational Linguistics (COLING)null. 2024, [8] International Conference on Computational Linguistics (COLING)null. 2024, [9] International Conference on Computational Linguistics (COLING)null. 2024, [10] International Conference on Computational Linguistics (COLING)null. 2024, [11] Thirty-Eighth AAAI Conference on Artificial Intelligencenull. 2024, [12] Thirty-Eighth AAAI Conference on Artificial Intelligencenull. 2024, [13] The Annual Meeting of the Association for Computational Linguistics (ACL)null. 2023, [14] The Annual Meeting of the Association for Computational Linguistics (ACL)null. 2023, [15] The Annual Meeting of the Association for Computational Linguistics (ACL)null. 2023, [16] The Annual Meeting of the Association for Computational Linguistics (ACL)null. 2023, [17] The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2023, [18] The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2023, [19] The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2023, [20] The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2023, [21] The AAAI Conference on Artificial Intelligence (AAAI)null. 2023, [22] The AAAI Conference on Artificial Intelligence (AAAI)null. 2023, [23] Knowledge-based Systemsnull. 2023, [24] Information Sciencesnull. 2023, [25] International Conference on Computational Linguistics (COLING)null. 2022, [26] ACM Computing Surveysnull. 2022, [27] IEEE Transactions on Knowledge and Data Engineeringnull. 2022, [28] ACM Transactions on Information Systemsnull. 2022, [29] International Conference on Computational Linguistics (COLING)null. 2022, [30] The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)null. 2022, [31] International Conference on Computational Linguistics (COLING)null. 2022, [32] CAAI Transactions on Intelligence Technologynull. 2022, [33] IEEE Transactions on Knowledge and Data Engineering (TKDE)null. 2022, [34] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2022, [35] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2022, [36] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2022, [37] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2022, [38] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2022, [39] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2022, [40] The AAAI Conference on Artificial Intelligence (AAAI)null. 2022, [41] The Conference on Empirical Methods in Natural Language Processing (EMNLP)null. 2022, [42] The Conference on Empirical Methods in Natural Language Processing (EMNLP)null. 2022, [43] The Conference on Empirical Methods in Natural Language Processing (EMNLP)null. 2022, [44] International Conference on Computational Linguistics (COLING)null. 2022, [45] The AAAI Conference on Artificial Intelligence (AAAI)null. 2021, [46] The AAAI Conference on Artificial Intelligence (AAAI)null. 2021, [47] Shen, Ying, Ding, Ning, Zheng, HaiTao, Li, Yaliang, Yang, Min. Modeling Relation Paths for Knowledge Graph Completion. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2021, 33(11): 3607-3617, http://dx.doi.org/10.1109/TKDE.2020.2970044.
[48] Yang, Min, Yin, Wenpeng, Qu, Qiang, Tu, Wenting, Shen, Ying, Chen, Xiaojun. Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING[J]. 2021, 12(3): 761-775, http://dx.doi.org/10.1109/TAFFC.2019.2897093.
[49] ACM International Conference on Information and Knowledge Management (CIKM)null. 2021, [50] The Annual Meeting of the Association for Computational Linguistics (ACL)null. 2021, [51] The Annual Meeting of the Association for Computational Linguistics (ACL)null. 2021, [52] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2021, [53] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2021, [54] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2021, [55] The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)null. 2021, [56] The AAAI Conference on Artificial Intelligence (AAAI)null. 2021, [57] The AAAI Conference on Artificial Intelligence (AAAI)null. 2021, [58] Sun, Yang, Yuan, Fajie, Yang, Min, Wei, Guoao, Zhao, Zhou, Liu, Duo. A Generic Network Compression Framework for Sequential Recommender Systems. 2020, http://arxiv.org/abs/2004.13139.
[59] Zhu, Jia, Zheng, Zetao, Yang, Min, Fung, Gabriel Pui Cheong, Tang, Yong. A semi-supervised model for knowledge graph embedding. DATA MINING AND KNOWLEDGE DISCOVERY[J]. 2020, 34(1): 1-20, http://dx.doi.org/10.1007/s10618-019-00653-z.
[60] 杨敏. Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge. ACL (CCF A). 2020, [61] 杨敏. Interactive Dual Generative Adversarial Networks for Image Captioning. The AAAI Conference on Artificial Intelligence (通讯作者, CCF A). 2020, [62] 李成明. Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. SIGIR (CCF A). 2020, [63] 杨敏. Multi-Task Learning and Reinforcement Learning for Personalized Dialogue Generation: An Empirical Study. IEEE Transactions on Neural Networks and Learning Systems (中国科学院一区, IF: 11.683). 2020, [64] 杨敏. Attentive User-engaged Adversarial Neural Network for Community Question Answering. The AAAI Conference on Artificial Intelligence (CCF A). 2020, [65] 李成明. Be Relevant, Non-redundant, and Timely: Deep Reinforcement Learning for Real-time Event Summarization.. The Thirty-Fourth AAAI Conference on Artificial Intelligence. 2020, [66] Yang, Min, Qu, Qiang, Shen, Ying, Lei, Kai, Zhu, Jia. Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 32(11): 6421-6433, http://dx.doi.org/10.1007/s00521-018-3825-2.
[67] Xiao, Shuwen, Zhao, Zhou, Zhang, Zijian, Yan, Xiaohui, Yang, Min. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. 2020, http://arxiv.org/abs/2002.03740.
[68] Yang, Min, Wang, Xintong, Lu, Yao, Lv, Jianming, Shen, Ying, Li, Chengming. Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint. INFORMATION SCIENCES[J]. 2020, 521: 46-61, http://dx.doi.org/10.1016/j.ins.2020.02.040.
[69] Yang, Min, Liu, Junhao, Chen, Lei, Zhao, Zhou, Chen, Xiaojun, Shen, Ying. An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2020, 50(12): 4946-4957, http://dx.doi.org/10.1109/TCYB.2019.2920268.
[70] 杨敏. Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. The AAAI Conference on Artificial Intelligence (CCF A). 2020, [71] 杨敏. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. ACL (CCF A). 2020, [72] Zhao, Wei, Wang, Benyou, Yang, Min, Ye, Jianbo, Zhao, Zhou, Chen, Xiaojun, Shen, Ying. Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2020, 50(11): 4680-4693, http://dx.doi.org/10.1109/TCYB.2019.2896766.
[73] 杨敏. Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention. SIGIR (通讯作者，CCF A). 2020, [74] 杨敏. Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. SIGIR (CCF A). 2020, [75] 杨敏. AILA: A Question Answering System in the Legal Domain. IJCAI (通讯作者, CCF A). 2020, [76] Lei, Zeyang, Yang, Yujiu, Yang, Min, Zhao, Wei, Guo, Jun, Liu, Yi, AAAI. A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 6650-6657, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501023.
[77] Wang Jian, Liu Junhao, Bi Wei, Liu Xiaojiang, He Kejing, Xu Ruifeng, Yang Min. Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. 2019, http://arxiv.org/abs/1912.07491.
[78] Lei, Kai, Qin, Meng, Bai, Bo, Zhang, Gong, Yang, Min, IEEE. GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks. IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019)null. 2019, 388-396, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000480426400044.
[79] Zhu, Jia, Huang, Changqin, Yang, Min, Fung, Gabriel Pui Cheong. Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. INFORMATION SCIENCES[J]. 2019, 473: 190-201, http://dx.doi.org/10.1016/j.ins.2018.09.029.
[80] Chen Daoyuan, Yang Min, Zheng HaiTao, Li Yaliang, Shen Ying, ACM. Answer-enhanced Path-aware Relation Detection over Knowledge Base. PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)null. 2019, 1021-1024, http://dx.doi.org/10.1145/3331184.3331328.
[81] Yang, Min, Tu, Wenting, Qu, Qiang, Zhou, Wei, Liu, Qiao, Zhu, Jia. Advanced community question answering by leveraging external knowledge and multi-task learning. KNOWLEDGE-BASED SYSTEMS[J]. 2019, 171: 106-119, http://dx.doi.org/10.1016/j.knosys.2019.02.006.
[82] Yang, Min, Zhao, Wei, Xu, Wei, Feng, Yabing, Zhao, Zhou, Chen, Xiaojun, Lei, Kai. Multitask Learning for Cross-Domain Image Captioning. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2019, 21(4): 1047-1061, http://dx.doi.org/10.1109/TMM.2018.2869276.
[83] 杨敏. Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. International Joint Conference on Artificial Intelligence (IJCAI) (CCF A). 2019, [84] Yang, Min, Qu, Qiang, Chen, Xiaojun, Tu, Wenting, Shen, Ying, Zhu, Jia. Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. INFORMATION SCIENCES[J]. 2019, 486: 271-286, http://dx.doi.org/10.1016/j.ins.2019.02.040.
[85] Yu Shuai, Wang Yongbo, Yang Min, Li Baocheng, Qu Qiang, Shen Jialie, ACM. NAIRS: A Neural Attentive Interpretable Recommendation System. PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19)null. 2019, 786-789, http://dx.doi.org/10.1145/3289600.3290609.
[86] Chen, Xiaojun, Huang, Joshua Z, Wu, Qingyao, Yang, Min. Subspace Weighting Co-Clustering of Gene Expression Data. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2019, 16(2): 352-364, http://dx.doi.org/10.1109/TCBB.2017.2705686.
[87] Yang, Min, Qu, Qiang, Tu, Wenting, Shen, Ying, Zhao, Zhou, Chen, Xiaojun, AAAI. Exploring Human-Like Reading Strategy for Abstractive Text Summarization. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 7362-7369, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501111.
[88] Yang, Min, Jiang, Qingnan, Shen, Ying, Wu, Qingyao, Zhao, Zhou, Zhou, Wei. Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. NEURAL NETWORKS[J]. 2019, 117: 240-248, http://dx.doi.org/10.1016/j.neunet.2019.05.021.
[89] Deng, Yang, Xie, Yuexiang, Li, Yaliang, Yang, Min, Du, Nan, Fan, Wei, Lei, Kai, Shen, Ying, AAAI. Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 6318-6325, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572500104.
[90] Lei Zeyang, Yang Yujiu, Yang Min, Liu Yi, Gurevych I, Miyao Y. A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification. PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2null. 2018, 758-763, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493913100120.
[91] Zhao Zhou, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He. Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. 2018, http://ir.siat.ac.cn:8080/handle/172644/14105.
[92] Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Xiaojun Chen, Zhou Zhao, Zhexue Huang. Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. 2018, http://ir.siat.ac.cn:8080/handle/172644/14088.
[93] Yang, Min, Qu, Qiang, Chen, Xiaojun, Guo, Chaoxue, Shen, Ying, Lei, Kai. Feature-enhanced attention network for target-dependent sentiment classification. NEUROCOMPUTING[J]. 2018, 307: 91-97, http://ir.siat.ac.cn:8080/handle/172644/13951.
[94] Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S Yu. Improving Automatic Source Code Summarization via Deep Reinforcement Learning. 2018, http://ir.siat.ac.cn:8080/handle/172644/14104.
[95] Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Zhexue Huang. PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (TKDE) 
[J]. 2018, http://ir.siat.ac.cn:8080/handle/172644/13955.
[96] Chen, Xiaojun, Yang, Min, Huang, Joshua Zhexue, Ming, Zhong. TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. PATTERN RECOGNITION[J]. 2018, 76: 404-415, http://dx.doi.org/10.1016/j.patcog.2017.10.026.
[97] Yang, Min, Chen, Xiaojun, Tu, Wenting, Lu, Ziyu, Zhu, Jia, Qu, Qiang. A Topic Drift Model for authorship attribution. NEUROCOMPUTING[J]. 2018, 273: 133-140, http://ir.siat.ac.cn:8080/handle/172644/13952.
[98] Shen Ying, Chen Daoyuan, Yang Min, Li Yaliang, Du Nan, Lei Kai, ACMSIGIR. Ontology Evaluation with Path-based Text-aware Entropy Computation. ACM/SIGIR PROCEEDINGS 2018null. 2018, 881-884, http://dx.doi.org/10.1145/3209978.3210067.
[99] Shen Ying, Deng Yang, Yang Min, Li Yaliang, Du Nan, Fan Wei, Lei Kai, ACMSIGIR. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. ACM/SIGIR PROCEEDINGS 2018null. 2018, 901-904, http://dx.doi.org/10.1145/3209978.3210081.
[100] Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Z Huang. Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MININGnull. 2018, 1206-1215, http://dx.doi.org/10.1145/3219819.3220039.
[101] Tu, Wenting, Yang, Min, Cheung, David W, Mamoulis, Nikos. Investment recommendation by discovering high-quality opinions in investor based social networks. INFORMATION SYSTEMS[J]. 2018, 78: 189-198, http://ir.siat.ac.cn:8080/handle/172644/13953.
[102] 杨敏. A Novel Approach for Entity Resolution in Scientific Documents using a Context Graph. Information Sciences (中国科学院一区, IF: 4.305). 2018, [103] Zhile Jiang, Shuai Yu, Min Yang, Qiang Qu, Junyu Luo, Juncheng Liu. Multi-task Learning for Author Profiling with Hierarchical Features. 2018, http://ir.siat.ac.cn:8080/handle/172644/14087.
[104] Yang, Min, Tu, Wenting, Qu, Qiang, Zhao, Zhou, Chen, Xiaojun, Zhu, Jia. Personalized response generation by Dual-learning based domain adaptation. NEURAL NETWORKS[J]. 2018, 103: 72-82, http://dx.doi.org/10.1016/j.neunet.2018.03.009.
[105] Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Soufei Zhang, Zhou Zhao. Investigating Capsule Networks with Dynamic Routing for Text Classification. 2018, http://ir.siat.ac.cn:8080/handle/172644/14101.
[106] Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei. Knowledge as A Bridge: Improving Cross-domain Answer Selection withExternal Knowledge. 2018, http://ir.siat.ac.cn:8080/handle/172644/14099.
[107] Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao. A Multi-task Learning Approach for Image Captioning. 2018, http://ir.siat.ac.cn:8080/handle/172644/13688.
[108] 杨敏. MARES: Mul- titask Learning Algorithm for Web-scale Real-time Event Summarization. World Wide Web Journal (CCF B). 2018, [109] Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen. PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. 2018, http://ir.siat.ac.cn:8080/handle/172644/14086.
[110] Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu. Aspect and Sentiment Aware Abstractive Review Summarization. 2018, http://ir.siat.ac.cn:8080/handle/172644/14100.
[111] 杨敏. Identifying and Tracking Location-based Sentiment and Topic from Social Media Texts. International Conference on Em- pirical Methods in Natural Language Processing (EMNLP) (CCF B). 2017, [112] Nikos Mamoulis, David W Cheung, Wenting Tu, Min Yang, Ziyu Lu. Activity Recommendation with Partners. ACM TRANSACTIONS ON THE WEB (TWEB)[J]. 2017, http://ir.siat.ac.cn:8080/handle/172644/11924.
[113] Wang, Yutong, Xu, Yixin, Yang, Min, Zhao, Zhou, Xiao, Jun, Zhuang, Yueting, Assoc Comp Machinery. Integrating Side Information for Boosting Machine Comprehension. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2017, 2355-2358, http://dx.doi.org/10.1145/3132847.3133136.
[114] Yang Min, Zhao Zhou, Zhao Wei, Chen Xiaojun, Zhu Jia, Zhou Lianqiang, Cao Zigang, ACMSIGIR. Personalized Response Generation via Domain adaptation. SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVALnull. 2017, 1021-1024, http://dx.doi.org/10.1145/3077136.3080706.
[115] 杨敏. Learning Max- Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggesiton. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF A). 2017, [116] 杨敏. Directly Minimizing Normalized Cut for Large Scale Data. International Joint Conference on Artificial Intelligence (IJCAI) (CCF A). 2017, [117] Yang Min, Lu Ziyu, Chen Xiaojun, Xu Fei, AAAI. Detecting Review Spammer Groups. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 5011-5012, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630705026.
[118] Wei Zhao, Wei XU, Min Yang, Jianbo Ye, Zhou Zhao, Yabing Feng, Yu Qiao. Dual Learning for Cross-domain Image Captioning. 2017, http://ir.siat.ac.cn:8080/handle/172644/11763.
[119] Yang Min, Tu Wenting, Wang Jingxuan, Xu Fei, Chen Xiaojun, AAAI. Attention-Based LSTM for Target-Dependent Sentiment Classification. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 5013-5014, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630705027.
[120] Yang Min, Mei Jincheng, Xu Fei, Tu Wenting, Lu Ziyu, Assoc Comp Machinery. Discovering Author Interest Evolution in Topic Modeling. SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVALnull. 2016, 801-804, http://dx.doi.org/10.1145/2911451.2914723.
[121] Tu Wenting, Cheung David W, Mamoulis Nikos, Yang Min, Lu Ziyu, Assoc Comp Machinery. Investment Recommendation using Investor Opinions in Social Media. SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVALnull. 2016, 881-884, http://dx.doi.org/10.1145/2911451.2914699.
[122] Yang Min, Tu Wenting, Yin Wenpeng, Lu Ziyu, Zong C, Strube M. Deep Markov Neural Network for Sequential Data Classification. PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2null. 2015, 32-37, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493810000006.
[123] 杨敏. LCCT: A Semi-supervised Model for Sentiment Classification. The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) (CCF C). 2015, [124] Yang Min, Zhu Dingju, Mustafa Rashed, Chow KamPui, Schaub T, Friedrich G, OSullivan B. Learning Domain-specific Sentiment Lexicon with Supervised Sentiment-aware LDA. 21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014)null. 2014, 263: 927-+, [125] Yang Min, Peng Baolin, Chen Zheng, Zhu Dingju, Chow KamPui, Toutanova K, Wu H. A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon. PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2null. 2014, 421-426, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493811100069.

（1） 推荐系统与深度学习, 清华大学出版社, 2019-01, 第 5 作者

   

（ 1 ） 中科院深圳先进院-得理法律人工智能联合实验室, 主持, 院级, 2019-05--2022-05
（ 2 ） 基于多任务学习和知识图谱的开放域个性化智能聊天系统, 主持, 院级, 2018-11--2019-12
（ 3 ） 基于图割的线性无监督学习框架、扩展模型及大数据应用研究, 参与, 国家级, 2017-01--2021-12
（ 4 ） 推荐系统中垃圾信息的检测技术研究, 参与, 省级, 2019-01--2021-12
（ 5 ） 基于深度学习的端到端跨领域个性化任务型对话研究, 主持, 国家级, 2020-01--2022-12
（ 6 ） 中国科学院青年创新促进会, 主持, 部委级, 2020-01--2023-12
（ 7 ） 面向高噪声海量新闻数据的实时无监督事件挖掘方法研究, 主持, 省级, 2020-01--2022-12
（ 8 ） 中国科学院深圳先进技术研究院优秀青年创新基金, 主持, 部委级, 2018-10--2020-10

已指导学生

黄薇屹  硕士研究生  085211-计算机技术  

周献杭  硕士研究生  085211-计算机技术  

陈磊  硕士研究生  085211-计算机技术  

刘俊浩  硕士研究生  085211-计算机技术  

李杰坷  硕士研究生  085211-计算机技术  

刘啸  硕士研究生  085211-计算机技术  

赵笑艳  硕士研究生  085211-计算机技术  

现指导学生

何万伟  硕士研究生  085400-电子信息  

秦博文  硕士研究生  085400-电子信息  

林伟毅  硕士研究生  085400-电子信息  

张磊  博士研究生  081203-计算机应用技术  

杨家玺  博士研究生  081203-计算机应用技术  

王李翰  硕士研究生  081200-计算机科学与技术  

温嘉宝  硕士研究生  085400-电子信息  

白岳霖  硕士研究生  085400-电子信息  

余天枢  硕士研究生  085400-电子信息  

李云水  硕士研究生  081200-计算机科学与技术  

常铭珊  硕士研究生  085400-电子信息  

刘自强  硕士研究生  085400-电子信息  

谢楠  硕士研究生  085400-电子信息  

王子钊  硕士研究生  085400-电子信息  

王余希  硕士研究生  085400-电子信息  

韩萍  硕士研究生  085400-电子信息  

张乾强  硕士研究生  085400-电子信息  

已经协助指导多名本科生和研究生（Alumni）：

- Wei Zhao (SIAT, CAS -> Ph.D at TU Darmstadt)

- Linqing Liu (Tongji University -> PHD at UCL)

- Yao Lu (Fudan University -> PHD at UCL)

- Zhile Jiang (Sichuan University -> Ph.D at University of Aarhus)

- Junyu Luo （Sichuan University -> MSRA）

- Shuai Yu (Xi'an Jiaotong University -> Ph.D at Fudan University)

- Xintong Wang (South China University of Technology -> Ph.D at University of Hamburg)

- Siyao Wang （Tongji University -> master in Brown University）

- Yongbo Wang (Chongqing University -> Alibaba, Ant Financial)

- Zeyang Lei (Tsinghua University Shenzhen Graduate School -> Baidu)

- Yang Deng (Peking University Shenzhen Graduate School -> Ph.D at Chinese University Of Hong Kong)

- Daoyuan Chen (Peking University Shenzhen Graduate School -> Alibaba)

- Ziyu Wan (Xi'an Jiaotong University -> City University of Hong Kong)