楊新檢視原始碼討論檢視歷史
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楊新，男，西南財經大學教授。
研究方向
多粒度認知計算
城市計算
智能決策與金融風險預測
講授課程
本科生 人工智能導論和機器學習等
博士/碩士研究生 人工智能等
學術成果
論文
[1] Xin Yang, Hao Yu (碩士生), Xin Gao (碩士生), 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 (碩士生), 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 (碩士生), 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區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區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 (碩士生), 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 (碩士生), 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 (碩士生), Xin Yang, Jiani Zheng (碩士生), Wei Wang (碩士生). 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區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區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高被引論文, 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熱點論文, ESI高被引論文, 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)
科研項目
1.多粒度開放持續學習關鍵技術研究，四川省科技廳中央引導地方-自由探索項目.
2.基於多粒度持續學習的金融欺詐檢測關鍵技術研究，四川省自然科學基金面上項目.
3.基於粒計算的多源異構動態數據挖掘關鍵技術研究, 國家自然科學基金面上項目.
4.基於粒計算的動態三支決策理論與方法, 國家自然科學基金面上項目.
5.基於粗糙集的穩健特徵選擇方法研究, 國家自然科學基金面上項目.
6.基於動態三支決策的金融風險識別方法研究, 教育部人文社科基金一般項目.
7.基於雙評價函數的動態三支決策模型在衝突管理中的應用研究, 教育部人文社科基金一般項目.
8.基於三支粒計算的金融動態數據挖掘關鍵技術研究, 中央高校基本科研業務費項目.[1]