基本信息
敖翔  男  硕导  中国科学院计算技术研究所
电子邮件: aoxiang@ict.ac.cn
通信地址: 北京市海淀区科学院南路6号
邮政编码:

研究领域

面向金融有关应用的文本、行为数据挖掘

招生信息

招收2023级硕士研究生,欢迎有志向从事面向金融的数据挖掘应用基础研究的本科生报考。

招生专业
081202-计算机软件与理论
招生方向
数据挖掘,金融行为分析
自然语言处理

教育背景

2010-09--2015-07   中国科学院计算技术研究所   工学博士
2006-09--2010-07   浙江大学   工学学士

工作经历

2018.9至今,中科院计算所,副研究员

2015.7-2018.9,中科院计算所,助理研究员


社会兼职
2022-05-30-今,NeurIPS2022, 程序委员会委员
2022-02-01-今,KDD2022, 程序委员会委员
2022-02-01-今,ICML2022, 程序委员会委员
2021-11-15-今,ACL2021/2022, 领域主席
2021-10-15-今,WWW2022, 程序委员会委员
2021-08-01-今,AAAI2022, 高级程序委员会委员
2021-07-15-今,WSDM2022/2023, 程序委员会委员
2019-06-03-今,ICDM2019/20/21, 程序委员会委员
2019-05-15-今,ECML-PKDD19/20/21/22, 程序委员会委员
2018-09-29-今,PAKDD2018/19/20/21, 程序委员会委员
2018-08-29-今,AAAI2019/20/21, 程序委员会委员
2017-12-28-今,IJCAI2018/19/20/22, 程序委员会委员
2015-12-30-今,IEEE TKDE/TNNLS, ACM TIST, PR, Information Systems等期刊, 审稿人

教授课程

人工智能基础
网络数据挖掘

专利与奖励

   
奖励信息
(1) SIGIR2021最佳短文提名奖, 其他, 2021
(2) 北京市科技新星, 省级, 2020
(3) 中科院青促会会员, 院级, 2019
(4) 微软亚洲研究院铸星计划成员, 其他, 2019
(5) CCF-腾讯犀牛鸟科研基金优秀奖, 其他, 2019
(6) 中国科学院计算技术研究所优秀研究人员, 研究所(学校), 2018
(7) 北京洪堡论坛青年学术之星, 其他, 2018
(8) 中国科学院计算技术研究所优秀研究人员, 研究所(学校), 2017
专利成果
[1] 艾乔, 敖翔, 周韦世, 李宽, 姚阳, 刘华. 基于对抗生成网络的园林设计中图像处理方法、系统. CN: CN112861217A, 2021-05-28.

[2] 李宏伟, 罗平, 敖翔, 庄福振, 何清. 一种分布式的趋同行为挖掘方法与系统. CN: CN108563715B, 2020-12-04.

[3] 柳阳, 敖翔, 庄福振, 罗平, 何清. 一种基于栈指令序列的智能合约相似度检索方法及系统. CN: CN111460454A, 2020-07-28.

[4] 敖翔, 柳阳, 秦紫笛, 何清. 一种基于频繁交易模式的异常账户检测方法及系统. CN: CN110717828A, 2020-01-21.

[5] 敖翔, 左罗, 罗平, 庄福振, 何清. 描述型多维度事件序列的并行频繁情节挖掘方法与系统. CN: CN106203631B, 2019-04-30.

[6] 李学兵, 庄福振, 敖翔, 何清. 基于Spark的快速寻找聚类中心的方法和系统. CN: CN109389140A, 2019-02-26.

[7] 黄明, 庄福振, 敖翔, 罗平, 何清. 一种多标记学习方法. CN: CN108364073A, 2018-08-03.

[8] 庄福振, 钱明达, 申恩兆, 敖翔, 罗平, 何清. 一种基于并行自动编码机的特征学习方法及系统. CN: CN105825269B, 2018-06-26.

[9] 周英敏, 庄福振, 敖翔, 何清. 一种生成用于用户代理信息的数据库的方法. CN: CN107871008A, 2018-04-03.

[10] 闫肃, 庄福振, 敖翔, 罗平, 何清. 一种用于大数据的并行半定义分类方法与系统. CN: CN106096063A, 2016-11-09.

[11] 何清, 吴新宇, 庄福振, 敖翔. 一种大数据分类方法及系统. CN: CN103729428A, 2014-04-16.

[12] 吴新宇, 何清, 庄福振, 敖翔. 一种面向大数据的分布式主题发现方法及系统. CN: CN103593418A, 2014-02-19.

[13] 敖翔, 何清, 庄福振. 一种并行的垂直交叉网络数据采集方法及系统. CN: CN103258017A, 2013-08-21.

论文与著作

   
发表论文
[1] Pan, Feiyang, Li, Shuokai, Ao, Xiang, He, Qing. Relation Reconstructive Binarization of word embeddings. FRONTIERS OF COMPUTER SCIENCE[J]. 2022, 16(2): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000699024100001.
[2] Sun, Zijun, Li, Xiaoya, Sun, Xiaofei, Meng, Yuxian, Ao, Xiang, He, Qing, Wu, Fei, Li, Jiwei. ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. 2021, http://arxiv.org/abs/2106.16038.
[3] Qing He. Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He:Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. ACL 2021, findings, virtually August 1-6, 2021, Bangkok, Thailand.. ACL 2021. 2021, [4] Qing He. Xiang Ao, Xiting Wang,Ling Luo, Ying Qiao, Qing He and Xing Xie. PENS: A Dataset and Generic Framework for Personalized News Headline Generation ,accepted to appear at the ACL-IJCNLP 2021 main conference. ACL-IJCNLP 2021. 2021, [5] Xiang Ao. Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM2021). 2021, [6] Xiang Ao. Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021). 2021, [7] Zhu, Xiaoqian, Ao, Xiang, Qin, Zidi, Chang, Yanpeng, Liu, Yang, He, Qing, Li, Jianping. Intelligent financial fraud detection practices in post-pandemic era. The Innovation[J]. 2021, 2(4): 100176-100176, [8] Xiang Ao. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI). 2021, [9] Xiang Ao. Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021). 2021, [10] Ao, Xiang, Liu, Yang, Qin, Zidi, Sun, Yi, He, Qing. Temporal high-order proximity aware behavior analysis on Ethereum. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS[J]. 2021, 24(5): 1565-1585, http://dx.doi.org/10.1007/s11280-021-00875-6.
[11] Xiang Ao. Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. In Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA2021). 2021, [12] Xiang Ao. Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. The Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2021). 2021, [13] Qing He. Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He. GuideBoot: Guided Bootstrap for Deep Contextual Bandits in Online Advertising, WWW21,April 12-16, 2021,Ljubljana,Slovenia. WWW2021. 2021, [14] Xiang Ao. Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network. In the 30th International Joint Conference on Artificial Intelligence (IJCAI2021). 2021, [15] Qing He. Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He. Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection, WWW21,April 12-16, 2021,Ljubljana,Slovenia. WWW21. 2021, [16] Li, Haoming, Pan, Feiyang, Ao, Xiang, Yang, Zhao, Lu, Min, Pan, Junwei, Liu, Dapeng, Xiao, Lei, He, Qing. Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. 2021, http://arxiv.org/abs/2108.06167.
[17] Jianfeng Liu, Ling Luo, Xiang Ao, Yan Song, Haoran Xu, Jian Ye. Meet Changes with Constancy - Learning Invariance in Multi-Source Translation. Proceedings of the 28th International Conference on Computational Linguistics[J]. 2021, [18] Xu, Chunpu, Yang, Min, Ao, Xiang, Shen, Ying, Xu, Ruifeng, Tian, Jinwen. Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. KNOWLEDGE-BASED SYSTEMS[J]. 2021, 214: http://dx.doi.org/10.1016/j.knosys.2020.106730.
[19] Xiang Ao. Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020). 2020, [20] Xiang Ao. Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2020). 2020, [21] Xiang Ao. Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning. In Proceedings of the 28th International Conference on Computational Linguistics (COLING2020). 2020, [22] Zhuang, FuZhen, Zhou, YingMin, Ying, HaoChao, Zhang, FuZheng, Ao, Xiang, Xie, Xing, He, Qing, Xiong, Hui. Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2020, 35(2): 305-319, http://lib.cqvip.com/Qikan/Article/Detail?id=7101658332.
[23] Qing He. Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang and Qing He. Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020), Oct. 9-23, 2020, Virtual Conference.. CIKM2020. 2020, [24] Xiang Ao. Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. The Web Conference 2020 (WWW2020). 2020, [25] Xiang Ao. Field-aware calibration: a simple and empirically strong method for reliable probabilistic predictions. The Web Conference 2020 (WWW2020). 2020, [26] Zhao, Weizhong, Ma, Huifang, Li, Zhixin, Ao, Xiang, Li, Ning. Improving social and behavior recommendations via network embedding. INFORMATION SCIENCES[J]. 2020, 516: 125-141, http://dx.doi.org/10.1016/j.ins.2019.12.038.
[27] Chi, Jianfeng, Zeng, Guanxiong, Zhong, Qiwei, Liang, Ting, Feng, Jinghua, Xiang, Ao, Tang, Jiayu, Plant, C, Wang, H, Cuzzocrea, A, Zaniolo, C, Wu, X. Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. 20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020)null. 2020, 72-81, [28] Nie, Yuyang, Tian, Yuanhe, Song, Yan, Ao, Xiang, Wan, Xiang. Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. 2020, http://arxiv.org/abs/2010.15466.
[29] Xiang Ao. Towards Explainable Conversational Recommendation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020). 2020, [30] Ao, Xiang, Luo, Ping, Li, Chengkai, Zhuang, Fuzhen, He, Qing. Discovering and learning sensational episodes of news events (vol 78, pg 68, 2018). INFORMATION SYSTEMSnull. 2020, 93: https://www.webofscience.com/wos/woscc/full-record/WOS:000548665600001.
[31] Xiang Ao. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Transactions on Knowledge and Data Engineering. 2020, [32] Boonchoo, Thapana, Ao, Xiang, Liu, Yang, Zhao, Weizhong, Zhuang, Fuzhen, He, Qing. Grid-based DBSCAN: Indexing and inference. PATTERN RECOGNITION[J]. 2019, 90: 271-284, http://dx.doi.org/10.1016/j.patcog.2019.01.034.
[33] Pan Feiyang, Li Shuokai, Ao Xiang, Tang Pingzhong, He Qing, ACM. Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)null. 2019, 695-704, http://dx.doi.org/10.1145/3331184.3331268.
[34] Ao, Xiang, Shi, Haoran, Wang, Jin, Zuo, Luo, Li, Hongwei, He, Qing. Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2019, 10(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000496750900004.
[35] Zhao Weizhong, Ma Huifang, Li Zhixin, Ao Xiang, Li Ning, Li G, Yang J, Gama J, Natwichai J, Tong Y. SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2019), PT IInull. 2019, 11447: 555-571, [36] Xiang Ao. Reading Like HER: Human Reading Inspired Extractive Summarization. 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019). 2019, [37] Huang, Ming, Zhuang, Fuzhen, Zhang, Xiao, Ao, Xiang, Niu, Zhengyu, Zhang, MinLing, He, Qing. Supervised representation learning for multi-label classification. MACHINE LEARNING[J]. 2019, 108(5): 747-763, [38] Luo, Junyu, Shen, Ying, Ao, Xiang, Zhao, Zhou, Yang, Min, ACM. Cross-modal Image-Text Retrieval with Multitask Learning. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)null. 2019, 2309-2312, http://dx.doi.org/10.1145/3357384.3358104.
[39] Xiang Ao. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis.. 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019). 2019, [40] Boonchoo, Thapana, Ao, Xiang, He, Qing. Multi-Aspect Embedding for Attribute-Aware Trajectories. SYMMETRY-BASEL[J]. 2019, 11(9): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000489177900085.
[41] Qing He. Ling Luo, Xiang Ao,Yan Song,Jinyao Li,Xiaopeng Yang,Qing He,Dong Yu, Unsupervised Neural Aspect Extraction with Sememes. IJCAI2019. 2019, [42] Xu, Chunpu, Zhao, Wei, Yang, Min, Ao, Xiang, Cheng, Wangrong, Tian, Jinwen, ACM. A Unified Generation-Retrieval Framework for Image Captioning. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)null. 2019, 2313-2316, http://dx.doi.org/10.1145/3357384.3358105.
[43] Qing He. [17] Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie and Qing He: Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018. SIGIR. 2018, [44] Ao, Xiang, Luo, Ping, Li, Chengkai, Zhuang, Fuzhen, He, Qing. Discovering and learning sensational episodes of news events. INFORMATION SYSTEMS[J]. 2018, 78: 68-80, http://dx.doi.org/10.1016/j.is.2018.05.003.
[45] Ao, Xiang, Luo, Ping, Wang, Jin, Zhuang, Fuzhen, He, Qing. Mining Precise-Positioning Episode Rules from Event Sequences. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2018, 30(3): 530-543, https://www.webofscience.com/wos/woscc/full-record/WOS:000424637500010.
[46] Qing He. [23] Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He. Free-rider Episode Screening via Dual Partition Model. The 23rd International Conference on Database Systems for Advanced Applications (DASFAA), 2018. DASFAA. 2018, [47] Ao, Xiang, Liu, Yang, Huang, Zhen, Zuo, Luo, He, Qing, Pei, J, Manolopoulos, Y, Sadiq, S, Li, J. Free-Rider Episode Screening via Dual Partition Model. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2018, PT Inull. 2018, 10827: 665-683, [48] Chen Jingwu, Zhuang Fuzhen, Hong Xin, Ao Xiang, Xie Xing, He Qing, ACMSIGIR. Attention-driven Factor Model for Explainable Personalized Recommendation. ACM/SIGIR PROCEEDINGS 2018null. 2018, 909-912, http://dx.doi.org/10.1145/3209978.3210083.
[49] Qing He. [21] Ling Luo, Xiang Ao, Feiyang Pan, Tong Zhao, Ningzi Yu, Qing He. Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. The 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.. IJCAI. 2018, [50] Zhuang, Fuzhen, Zhou, Yingmin, Zhang, Fuzheng, Ao, Xiang, Xie, Xing, He, Qing, ASSOC COMP MACHINERY. Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEBnull. 2017, 881-882, [51] Xiang Ao. Precise-positioning Episode Rules from Event Sequences.. IEEE International Conference on Data Engineering (ICDE, poster). 2017, [52] Wang, Haocheng, Zhuang, Fuzhen, Jin, Xin, Ao, Xiang, He, Qing. Bag of little bootstraps on features for enhancing classification performance. INTELLIGENT DATA ANALYSIS[J]. 2016, 20(5): 1085-1099, http://www.corc.org.cn/handle/1471x/2375893.
[53] 何清, 敖翔, 庄福振, 罗平. 一种基于Hadoop的大数据挖掘云服务及应用. 信息通信技术. 2015, 9(6): 42-49, http://lib.cqvip.com/Qikan/Article/Detail?id=667627855.
[54] Ao, Xiang, Luo, Ping, Li, Chengkai, Zhuang, Fuzhen, He, Qing, IEEE. Online Frequent Episode Mining. 2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE)null. 2015, 891-902, [55] 敖翔. 频繁场景挖掘算法及其应用研究. 2015, [56] Qing He. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi.. Discovering and learning sensational episodes of news events. The 23rd international conference on World Wide Web, WWW2014, April 7-11, Seoul, Korea. The 23rd international conference on World Wide Web, WWW2014. 2014, [57] Ao, Xiang, Luo, Ping, Ma, Xudong, Zhuang, Fuzhen, He, Qing, Shi, Zhongzhi, Shen, Zhiyong. Combining supervised and unsupervised models via unconstrained probabilistic embedding. INFORMATION SCIENCES[J]. 2014, 257: 101-114, http://dx.doi.org/10.1016/j.ins.2013.08.048.
[58] Han, Shuo, Zhuang, Fuzhen, He, Qing, Shi, Zhongzhi, Ao, Xiang. Energy model for rumor propagation on social networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2014, 394: 99-109, http://dx.doi.org/10.1016/j.physa.2013.10.003.
[59] Ao Xiang, Luo Ping, Li Chengkai, Zhuang Fuzhen, He Qing, Shi Zhongzhi, Assoc Comp Machinery. Discovering and Learning Sensational Episodes of News Events. WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEBnull. 2014, 217-218, http://dx.doi.org/10.1145/2567948.2577290.
[60] Han, Shuo, Zhuang, Fuzhen, He, Qing, Shi, Zhongzhi, Ao, Xiang. Energy model for rumor propagation on social networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2014, 394: 99-109, http://dx.doi.org/10.1016/j.physa.2013.10.003.
[61] Ao, Xiang, Luo, Ping, Ma, Xudong, Zhuang, Fuzhen, He, Qing, Shi, Zhongzhi, Shen, Zhiyong. Combining supervised and unsupervised models via unconstrained probabilistic embedding. INFORMATION SCIENCES[J]. 2014, 257: 101-114, http://dx.doi.org/10.1016/j.ins.2013.08.048.
[62] Shengmei Luo, Qing He, Lixia Liu, Xiang Ao, Ning Li, Fuzhen Zhuang. Parallel Web Mining System Based on Cloud Platform. 中兴通讯技术:英文版. 2012, 10(4): 45-53, http://lib.cqvip.com/Qikan/Article/Detail?id=44400291.
[63] Qing He. Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen. Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. In:Proceedings of the 22ndInternational Joint Conferences on Artificial Intelligence (IJCAI’11),2011: 1396-1401. (EI ,人工智能领域顶级国际会议). Proceedings of the 22ndInternational Joint Conferences on Artificial Intelligence (IJCAI’11). 2011, 

科研活动

   
科研项目
( 1 ) 序列大数据复杂情景模式发现算法研究, 主持, 国家级, 2017-01--2019-12
( 2 ) 高通量区块链智能监管研究, 主持, 市地级, 2018-05--2020-04
( 3 ) 基于深度强化学习的在线广告推荐, 主持, 院级, 2018-10--2019-10
( 4 ) 金融智慧债券风险预警, 主持, 院级, 2017-06--2018-08
( 5 ) 科技资源监测系统, 主持, 研究所(学校), 2017-06--2017-12
( 6 ) 金融欺诈识别聊天机器人, 主持, 院级, 2019-01--2020-08
( 7 ) 保持高阶相似性的动态图表示学习方法及应用, 主持, 国家级, 2020-01--2023-12
( 8 ) 基于高阶多图融合嵌入的用户金融行为分析, 主持, 院级, 2019-09--2020-08
( 9 ) 基于深度学习的探索-利用(Explore-Exploit)算法研究, 主持, 院级, 2019-10--2020-10

合作情况

   
项目协作单位
阿里、腾讯、蚂蚁金服、德勤(中国)、我国金融监管部门等