可信人工智能团队（新财经综合实验室）常年招收人工智能理论与应用等研究领域的博士、硕士和部分优秀本科学生，欢迎志存高远且脚踏实地的优秀学子报考，请事先把简历发至我的邮箱, 我会尽快回复邮件并安排面谈。

※教授简介

 杨新，工学博士，教授，博士生导师，西南财经大学计算机与人工智能学院副院长，互联网金融创新及监管四川省协同创新中心主任，光华英才工程人选（A类），成都市青年科技联合会副主席，中国计算机学会（CCF）杰出会员和杰出传播者，CCF成都秘书长，YOCSEF 成都学术委员会（22-23）主席，CCF数字金融分会常务委员，CCF大数据专委会执行委员，CCF人工智能与模式识别专委会委员，CCF传播工作委员会委员和传播大使，中国人工智能学会（CAAI）粒计算与知识发现专委会委员，四川省人工智能学会常务理事，主要研究方向是可信联邦学习、终身持续学习、智能金融和城市计算等，主持/主研国家级和省部级科研项目10余项，已在IEEE TKDE、IEEE TFS等高水平国际期刊和AAAI、WWW、ACM MM等一流国际会议发表学术论文80余篇，主编/参编教材4部和专著2部，授权/授理国家发明专利7项，HCIS等国际期刊编委，IEEE ICICML、DSInS和PAKDD等国际会议大会主席/TPC/SC，主编国际会议论文集4部，曾获四川省第一届青年教师教学竞赛三等奖，省级一流课程《现代科技与人工智能》（全校通识课）负责人，指导学生获得ACM优秀硕士论文和优秀本科生等奖项以及学科竞赛100余项。

※研究方向

可信联邦学习

终身持续学习

多粒度认知计算

城市计算

智能决策与金融风险预测

※讲授课程

本科生 人工智能导论和机器学习等

博士/硕士研究生 人工智能等

※部分代表性论文

[1] Xin Yang, Hao Yu (硕士生), Xin Gao (硕士生), Hao Wang, Junbo Zhang, Tianrui Li. Federated Continual Learning via Knowledge Fusion: A Survey. IEEE Transactions on Knowledge and Data Engineering, 2024. (CCF A)

[2] Yujie Li (博士生), Xin Yang, Hao Wang, Xiangkun Wang (硕士生), Tianrui Li. Learning to Prompt Knowledge Transfer for Open-World Continual Learning. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI2024). (CCF A)

[3] Huimin Fu, Shaowei Cai, Guanfeng Wu, Jun Liu,Xin Yang, Yang Xu. Improving two-mode algorithm via probabilistic selection for solving satisfiability problem. Information Sciences, 2024, 653: 119751. (SCI, CCF B)

[4] Hao Wang, Zhi-Qi Cheng, Jingdong Sun, Xin Yang, Xiao Wu, Hongyang Chen, Yan Yang. Debunking free fusion myth: Online multi-view anomaly detection with disentangled product-of-experts modeling. The 31st ACM International Conference on Multimedia (ACM MM2023). (CCF A)

[5] Miaomiao Li (本科生), Jiaqi Zhu, Xin Yang, Yi Yang, Qiang Gao and Hongan Wang. CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet. The Web Conference 2023 (WWW2023). (CCF A)

[6] Yujie Li (博士生), Yuxuan Yang (本科生), Qiang Gao, Xin Yang. Cross-regional Fraud Detection via Continual Learning. The 37th AAAI Conference on Artificial Intelligence (AAAI2023). (CCF A)

[7] Xin Yang, Metoh Adler Loua (博士生), Meijun Wu (博士生), Li Huang, Qiang Gao. Multi-granularity stock prediction with sequential three-way decisions. Information Sciences, 2023, 621: 524-544. (SCI, CCF B)

[8] Keyu Liu (博士生), Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu. Feature selection in threes: neighborhood relevancy, redundancy, and granularity interactivity. Applied Soft Computing, 2023, 146: 110679. (SCI, CCF B)        

[9] Xin Yang, Yanhua Li (博士生), Shuyin Xia, Xiaoyu Lian, Guoyin Wang, Tianrui Li. Granular-Ball Three-Way Decision. International Joint Conference on Rough Sets. 2023: 283-295.

[10] Yanhua Li (博士生), Jiafen Liu, Yihua Zhong, Xin Yang. Normal Fuzzy Three-Way Decision Based on Prospect Theory. International Joint Conference on Rough Sets. 2023, 463-478.

[11] Qiang Gao, Wei Wang (硕士生), Li Huang, Xin Yang, Tianrui Li, Hamido Fujita. Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion. Information Fusion, 2023, 92: 46-63. (SCI, 中科院1区Top)

[12] Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu. When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. Neurocomputing, 2023, 518: 174-189. (SCI, CCF C)

[13] Xin Yang, Yanhua Li (博士生), Tianrui Li. A review of sequential three-way decision and multi-granularity learning. International Journal of Approximate Reasoning, 2023, 152: 414-433. (SCI, CCF B)

[14] Keyu Liu (博士生), Tianrui Li, Xibei Yang, Xin Yang, Dun Liu. Neighborhood rough set based ensemble feature selection with cross-class sample granulation. Applied Soft Computing, 2022, 131: 109747. (SCI, 中科院2区Top)

[15] Keyu Liu (博士生), Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu. Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. International Journal of Approximate Reasoning, 2022, 148: 57-67. (SCI, CCF B)

[16] Xin Yang, Yujie Li (博士生), Dun Liu, and Tianrui Li. Hierarchical fuzzy rough approximations with three-way multi-granularity learning. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3486-3500. (SCI, CCF B)

[17] Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li. Contextual Spatio-Temporal Graph Representation Learning for Reinforced Human Mobility Mining. Information Sciences, 2022, 606: 230-249. (SCI, CCF B)

[18] Xin Yang, Yuxuan Yang (本科生), Junfang Luo, Dun Liu, Tianrui Li. A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data. Information Sciences, 2022, 601: 287-305. (SCI, CCF B)

[19] Qianqian, Huang (博士生), Yanyong Huang, Tianrui Li, Xin Yang. Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data. Information Sciences, 2022, 597: 358-391. (SCI, CCF B)

[20] Qiang Gao, Wei Wang (硕士生), Kunpeng Zhang, Xin Yang, Congcong Miao, Tianrui Li. Self-supervised representation learning for trip recommendation. Knowledge-Based Systems, 2022, 247: 108791. (SCI, CCF C)

[21] Xin Yang, Yujie Li (博士生), Qiuke Li (本科生), Dun Liu, Tianrui Li. Temporal-spatial three-way granular computing for dynamic text sentiment classification. Information Sciences, 2022, 596: 551-566. (SCI, CCF B)

[22] Junfang Luo, Mengjun Hu, Guangming Lang, Xin Yang, Keyun Qin. Three-way conflict analysis based on alliance and conflict functions. Information Sciences, 2022, 594: 322-359. (SCI, CCF B)

[23] Xin Yang, Miaomiao Li (本科生), Hamido Fujita, Dun Liu, Tianrui Li. Incremental rough reduction with stable attribute group. Information Sciences, 2022, 589:283–299. (SCI, CCF B)

[24] Xin Yang, Yujie Li (博士生), Dan Meng, Yuxuan Yang (本科生), Dun Liu, Tianrui Li. Three-way multi-granularity learning towards open topic classification. Information Sciences, 2022, 585: 41–57. (SCI, CCF B)

[25] Keyu Liu (博士生), Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang. Granular cabin: An efficient solution to neighborhood learning in big data. Information Sciences, 583:189–201, 2022. (SCI, CCF B)

[26] Xin Yang, Yang Chen (硕士生), Hamido Fujita, Dun Liu, Tianrui Li. Mixed data-driven sequential three-way decision via subjective–objective dynamic fusion. Knowledge-Based Systems, 2022, 237: 107728. (SCI, CCF C)

[27] Xiaoyu Zhang, Keyu Liu (博士生), Jing Ba, Xin Yang, Xibei Yang. ROSES: A Novel Semi-supervised Feature Selector. International Conference on Intelligent Information Processing, 2022. (EI)

[28] Yu Fang, Zhao-Chen Li, Xin Yang, Fan Min. 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification. International Joint Conference on Rough Sets, 2022.

[29] Yang Chen (硕士生), Xin Yang, Jiani Zheng (硕士生), Wei Wang (硕士生). A Framework for Feature Construction Based on Neighborhood Rough Set. International Conference on Intelligent Systems and Knowledge Engineering, 2021. (EI)

[30] Xin Yang, Dun Liu, Xibei Yang, Keyu Liu (博士生), Tianrui Li. Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations.  Information Sciences, 2021, 550: 71-90. (SCI, CCF B)

[31] Xin Yang, Yingying Zhang (博士生), Hamido Fujita, Dun Liu, Tianrui Li. Local temporal-spatial multi-granularity learning for sequential three-way granular computing.  Information Sciences, 2020, 541: 75-97. (SCI, CCF B)

[32] Qianqian Huang (博士生), Tianrui Li, Yanyong Huang, Xin Yang. Incremental three-way neighborhood approach for dynamic incomplete hybrid data.  Information Sciences, 2020, 541: 98-122. (SCI, CCF B)  

[33] Xin Yang, Tianrui Li, Dun Liu, Hamido Fujita. A multilevel neighborhood sequential decision approach of three-way granular computing. Information Sciences, 2020, 538: 119-141. (SCI, CCF B)

[34] Xiansheng Rao, Xibei Yang, Xin Yang, Xiangjian Chen, Dun Liu, Yuhua Qian. Quickly calculating reduct: An attribute relationship based approach. Knowledge-Based Systems, 2020, 200: 106014. (SCI, CCF B)

[35] Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang. Urban big data fusion based on deep learning: An overview. Information Fusion, 2020, 53: 123-133. (SCI, 中科院1区Top)

[36] Dun Liu, Xin Yang, Tianrui Li. Three-way decisions: beyond rough sets and granular computing. International Journal of Machine Learning and Cybernetics, 2020, 11: 989–1002. (SCI)

[37] Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang. Urban flow prediction from spatiotemporal data using machine learning: A survey. Information Fusion, 2020, 59: 1-12. (SCI, 中科院1区Top)

[38] Qianqian Huang (博士生), Tianrui Li, Yanyong Huang, Xin Yang, Hamido Fujita. Dynamic dominance rough set approach for processing composite ordered data, Knowledge-based Systems, 2020, 187: 104829. (SCI, CCF C)

[39] Keyu Liu (博士生), Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian. An efficient selector for multi-granularity attribute reduction, Information Sciences, 2019, 505: 457-472. (SCI, CCF B)

[40] Xin Yang, Tianrui Li, Dun Liu, Hamido Fujita. A temporal-spatial composite sequential approach of three-way granular computing. Information Sciences, 2019, 486: 171-189. (ESI高被引论文, SCI, CCF B)

[41] Xin Yang, Tianrui Li, Hamido Fujita, Dun Liu. A sequential three-way approach to multi-class decision. International Journal of Approximate Reasoning, 2019, 104: 108-125. (ESI热点论文, ESI高被引论文, SCI, CCF B)

[42] Qianqian Huang (博士生), Jie Hu, Xin Yang, Tianrui Li. Dynamical information fusion of multi-source incomplete hybrid information systems based on conditional entropy. IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019. (EI)

[43] Guoqiang Wang, Tianrui Li, Qianqian Huang, Xin Yang. A hash method for calculating rough set approximations. IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019. (EI)

[44] Xin Yang, Ning Wang, Tianrui Li, Dun Liu, Chuan Luo. Composite sequential Three-way decisions. International Joint Conference on Rough Sets, 2018.

[45] Xin Yang, Tianrui Li, Dun Liu, Qianqian Huang. Dynamic neighborhood-based decision-theoretic rough set. International Flins Conference on Data Science and Knowledge Engineering for Sensing Decision Support, 2018. (EI)

[46] Qianqian Huang (博士生), Tianrui Li, Yanyong Huang, Xin Yang. Incremental updating of approximations in composite ordered decision systems under attribute generalization. International Flins Conference on Data Science and Knowledge Engineering for Sensing Decision Support, 2018. (EI)

[47] Xin Yang, Tianrui Li, Dun Liu, Hongmei Chen, Chuan Luo. A unified framework of dynamic three-way probabilistic rough sets. Information Sciences, 2017, 420: 126-147. (SCI, CCF B)

[48] Xin Yang, Tianrui Li, Hamido Fujita, Dun Liu, Yiyu Yao. A unified model of sequential three-way decisions and multilevel incremental processing. Knowledge-Based Systems, 2017, 134:172-188. (SCI, CCF C)  

※科研项目

1.多粒度开放持续学习关键技术研究，四川省科技厅中央引导地方-自由探索项目.

2.基于多粒度持续学习的金融欺诈检测关键技术研究，四川省自然科学基金面上项目.

3.基于粒计算的多源异构动态数据挖掘关键技术研究, 国家自然科学基金面上项目.

4.基于粒计算的动态三支决策理论与方法, 国家自然科学基金面上项目.

5.基于粗糙集的稳健特征选择方法研究, 国家自然科学基金面上项目.

6.基于动态三支决策的金融风险识别方法研究, 教育部人文社科基金一般项目.

7.基于双评价函数的动态三支决策模型在冲突管理中的应用研究, 教育部人文社科基金一般项目.

8.基于三支粒计算的金融动态数据挖掘关键技术研究, 中央高校基本科研业务费项目.

※团队合作高校与企业

团队先后与美国、新加坡、英国、加拿大、澳大利亚、日本等国家的知名高校建立了密切的学术交流和合作关系，包括马里兰大学、曼彻斯特大学、佐治亚州立大学、爱荷华州立大学、加拿大里贾纳大学、新加坡国立大学、南洋理工大学等，也与微软亚洲研究院、微众银行、京东智能城市研究院等企业科研机构开展了一系列的访问交流实习等合作，通过与世界一流科技资源的精准对接和深度融合，致力于打造学界与业界相融合的“人工智能+金融”世界一流研究团队。

※团队毕业学生去向

工作：字节跳动、阿里巴巴、拼多多、华为、京东、腾讯和四大银行等.

保/读研：国内C9等.

出国读研/博：美国、加拿大、英国和荷兰等.

※团队格言

教书育人，不放弃每一位学生，用心交流、用勤补拙、用汗感悟，用苦思甜，多培养一些对国家和社会有贡献的优秀人才。

欢迎加入可信人工智能研究与应用团队！