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姓名 敖翔  性别 男 
联系方式 aoxiang@ict.ac.cn  职称 副研究员 
研究方向 智能金融、数据挖掘 
个人主页  
个人介绍
简历:

20189今:中国科学院计算技术研究所,副研究员 

2015年7 — 20189月:中国科学院计算技术研究所,助理研究员 

2010年9 — 20157月:中国科学院计算技术研究所,博士生 

2006年9 — 20107月:浙江大学,计算机科学与技术,本科生 

其他个人主页链接:https://aoxaustin.github.io/ 

社会任职:
获奖及荣誉:

2019 中国科学院青年创新促进会会员  

2019 微软亚洲研究院“铸星计划”  

2018/2017 计算所优秀研究人员  

2018 北京洪堡论坛青年学术之星  

2017 中科院计算所学术百星  

代表论著:

期刊文章: 

[1] Fuzhen Zhuang, Yingming Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong. Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. Journal of Computer Science & Technology (JCST), 35 (2), 305-319, 2020. (CCF B类期刊,SCI) 

[2] Yang Liu, Xiang Ao*, Linfeng Dong, Chao Zhang, Jin Wang, Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Transactions on Data Engineering (IEEE TKDE). (CCF A类期刊,SCI) 

[3] Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li. Improving social and behavior recommendations via network embedding. Information Sciences 516: 125-141, 2020. (CCF B类期刊,SCI) 

[4] Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He. Large-scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 10(4):36, 2019. (中科院2区,SCI) 

[5] Thapana Boonchooa, Xiang Ao*, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He. Grid-based DBSCAN : Indexing and Inference. Pattern Recognition (PR), 90 : 271-284, 2019. (CCF B类期刊,SCI) 

[6] Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-ling Zhang, Qing He. Supervised representation learning for multi-label classification. Machine Learning (ML), 108(5):747-763, 2019. (CCF B类期刊,SCI) 

[7] Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He. Mining Precise-positioning Episode Rules from Event Sequences. IEEE Transactions on Data Engineering (IEEE TKDE), 30(3): 530-543, 2018. CCF A类期刊,SCI 

[8] Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He. Discovering and Learning Sensational Episodes of News Events. Information Systems (IS), 78 :68-80, 2018. (CCF B类期刊,SCI) 

[9] Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi and Zhiyong Shen. Combining supervised and unsupervised models via unconstrained probabilistic embedding. Information Sciences (INS), 257: 101-114, 2014. (CCF B类期刊,SCI) 

会议文章: 

[1] 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. To appear in CIKM2020. (CCF B类会议) 

[2] Can Liu, Qiwei Zhong, Xiang Ao*, Li Sun, Wangli Lin, Jinghua Feng, Qing He and Jiayu Tang. Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. In Proceedings of the KDD2020. (CCF A类会议) 

[3] Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen. 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). (CCF A类会议) 

[4] Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang and Yonggang Wang. 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). (CCF A类会议) 

[5] Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang and Qing He. Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. In Proceedings of the Web Conference 2020 (WWW2020). (CCF A类会议) 

[6] Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He. Field-aware calibration: a simple and empirically strong method for reliable probabilistic predictions. In Proceedings of the Web Conference 2020 (WWW2020). (CCF A类会议) 

[7] Junyu Luo, Min Yang, Xiang Ao, Zhou Zhao and Ying Shen. Cross-modal Image-Text Retrieval with Multitask Learning. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019). (CCF B类会议) 

[8] Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng and Jinwen Tian. A Unified Generation-Retrieval Framework for Image Captioning. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019). (CCF B类会议) 

[9] Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao and Min Yang. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019). (CCF B类会议) 

[10] Ling Luo, Xiang Ao*, Yan Song, Feiyang Pan, Min Yang and Qing He. Reading Like HER: Human Reading Inspired Extractive Summarization. To appear in the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (CCF B类会议) 

[11] Ling Luo, Xiang Ao*, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu. Unsupervised Neural Aspect Extraction with Sememes. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. (CCF A类会议) 

[12] Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He. Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019. (CCF A类会议) 

[13] Ling Luo, Xiang Ao*, Feiyang Pan, Tong Zhao, Ningzi Yu, Qing He. Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. In International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A类会议) 

[14] Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He. Free-rider Episode Screening via Dual Partition Model. In International Conference on Database Systems for Advanced Applications (DASFAA), 2018. (CCF B类会议) 

[15] Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He. Attention-driven Factor Model for Explainable Personalized Recommendation. In International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A类会议) 

[16] Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He. Mining Precise-positioning Episode Rules from Event Sequences. In IEEE International Conference on Data Engineering (ICDE, poster track), 2017. (CCF A类会议) 

[17] Fuzhen Zhuang, Yingming Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He. Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. International World Wide Web Conference (WWW, poster track), Perth, Australia, 2017. (CCF A类会议) 

[18] Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He. Online Frequent Episode Mining. IEEE International Conference on Data Engineering (ICDE), 2015. (CCF A类会议) 

[19] Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He and Zhongzhi Shi. Discovering and learning sensational episodes of news events. International World Wide Web Conference (WWW, poster track), Seoul, Korea, April 2014. (CCF A类会议) 

专利: 

[1] 描述型多维度事件序列的并行频繁情节挖掘方法与系统,2019430日授权,专利号ZL201610524750.8。发明人:敖翔,左罗,罗平,庄福振,何清。 

[2] 一种并行的垂直交叉网络数据采集方法及系统,2016 4 13 日授权,专利号ZL201310146080.7。发明人:敖翔,何清,庄福振。 

[3] 一种基于并行自动编码机的特征学习方法及系统,2018626日授权,专利号ZL201610147007.5。发明人:庄福振,钱明达,申恩兆,敖翔,罗平,何清。 

[4] 一种大数据分类方法及系统,2017 4 12 日授权,专利号ZL201310727192.1。发明人:吴新宇,何清,庄福振,敖翔。 

[5] 一种面向大数据的分布式主题发现方法及系统,2017 3 29 日授权,专利号ZL201310526790.2。发明人:吴新宇,何清,庄福振,敖翔。 

承担科研项目情况:

[1] NSFC基金面上项目:《保持高阶相似性的动态图表示学习方法及应用》,2020/01-2023.1260万,主持;  

[2] NSFC青年基金项目:《序列大数据复杂情景模式发现算法研究》,2017/01-2019/1220万,主持;  

[3] 中科院计算所创新项目子课题:《高通量区块链区块链行为监管》,2018/05-2020/04100万,主持;  

[4] 深交所创新课题:面向证券市场运行监测的智能化应用技术研究,2020/05-2020/12, 84万,参与;  

[5] CCF-腾讯犀牛鸟科研基金滚动支持:广告延迟反馈场景下的转化率预估及校准,2020/05-2021/0420万,主持;  

[6] 腾讯犀牛鸟社交广告专项:《基于深度学习的探索-利用(Explore-Exploit)算法研究》,2019/09-2020/0829万,主持  

[7] 阿里巴巴AIR计划:《基于高阶多图融合嵌入的用户金融行为分析》,2019/08-2020/0744万,主持  

[8] 蚂蚁金服安全专项科研基金:《人工智能欺诈识别聊天机器人》,2019/05-2020/0440万,主持;  

[9] CCF-腾讯犀牛鸟科研基金:《基于深度强化学习的在线广告推荐》,2018/10-2019/1015万,主持;  

[10] 德勤企业咨询(上海)有限公司联合研究:《债券舆情情感分析算法》,2017/08-2018/0316万,主持。  

所属部门:
智能信息处理重点实验室
其他备注:
硕导计算机软件与理论
其他备注2:
其他备注3:
 
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