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※教授简介 杨新，1277星际-XJ.1277.com|网站登陆副院长/教授/博士生导师，互联网金融创新及监管四川省协同创新中心主任，入选“全球前2%顶尖科学家榜单”和“天府青城计划”科技创新领军人才，省级一流课程《现代科技与人工智能》（全校通识课）负责人，成都市科技青年联合会副主席，ACM SIGKDD China 候补委员、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大模型论坛执行委员，CCF传播工作委员会委员和传播大使，中国人工智能学会（CAAI）高级会员和粒计算与知识发现专委会常务委员，四川省人工智能学会常务理事等，长期从事机器学习、数据挖掘和智能金融等研究，主持国家自然科学基金、教育部和省部级以及各类横向科研项目10余项，已在IEEE TPAMI、IEEE TKDE等高水平国际期刊和中国科学：信息科学、计算机学报、软件学报等国内顶级期刊以及KDD、CVPR、ICLR、WWW、AAAI、ACL、ACM MM、IJCAI等CCF推荐国际会议发表学术论文100余篇，主编教材/专著/译著7部，获得授权国家发明专利20余项，担任国际期刊Human-Centric Intelligent Systems（EI检索）执行主编和IEEE ICICML、DSInS等10余个国际会议大会主席、程序委员会主席以及组织委员会主席等，曾获吴文俊人工智能科技进步二等奖、四川省科技进步二等奖和三等奖、四川省第一届青年教师教学竞赛三等奖等，指导学生获得中国科协青年人才托举工程博士生专项计划、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 机器学习与数据挖掘 联邦持续学习 群智协同计算 计算机视觉 多智能体与金融大模型 智能决策与金融风险预测
※讲授课程 本科生 人工智能通识课等 博士/硕士研究生 人工智能概述等
※部分代表性论文(近三年）
（1）综述论文： [arXiv2025] Chaofan Pan (博士生), Xin Yang, Yanhua Li (博士生), Wei Wei, Tianrui Li, Bo An, Jiye Liang. A Survey of Continual Reinforcement Learning. https://arxiv.org/abs/2506.21872. CCF A-[IEEE TKDE2025] Tao Fan, Hanlin Gu, Xuemei Cao (博士生),..., Yihui Feng (硕士生),..., Xin Yang,...,Hao Yu (博士生),...,Qiang Yang. Challenging Problems in Federated Foundation Models. IEEE Transactions on Knowledge and Data Engineering.
CCF A-[IEEE TKDE2024] Xin Yang, Hao Yu (博士生), 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. 中科院1区Top-[IEEE COMST2025] Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li. Unleashing the Power of Continual Learning on Non-centralized Devices: A Survey. IEEE Communications Surveys & Tutorials. CCF A-[计算机学报2025] 吴美君 (博士生)，杨新，潘超凡 (博士生)，李天瑞，寇纲. 自编码器结合持续学习：现状、挑战与展望. 计算机学报.
（2）联邦持续学习： [arXiv2025] Hao Yu (博士生), Xin Yang, Boyang Fan (硕士生), Xuemei Cao (博士生), Hanlin Gu, Lixin Fan, Qiang Yang. Large-Small Model Collaborative Framework for Federated Continual Learning. https://arxiv.org/abs/2508.09489. CCF A-[IEEE TPAMI2026] Hao Yu (博士生), Xin Yang, Boyang Fan (硕士生), Yonghao Li, Hanlin Gu, Junbo Zhang, Tianrui Li, Qiang Yang. Robust Personalized Federated Continual Learning via Explainable Multi-Granularity Prompt. IEEE Transactions on Pattern Analysis and Machine Intelligence. CCF A-[AAAI2026] Bingjun Wei (硕士生), Xuemei Cao (博士生), Jiafen Liu, Haoyang Liang (硕士生), Xin Yang. Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario. The 40st AAAI Conference on Artificial Intelligence. CCF A-[CVPR2025] Hao Yu (博士生), Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang. Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor.The 42st IEEE/CVF Conference on Computer Vision and Pattern Recognition. CCF A-[MM2024] Hao Yu (博士生), Xin Yang, Xin Gao (硕士生), Yihui Feng (硕士生), Hao Wang, Yan Kang, Tianrui Li. Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. The 32st ACM International Conference on Multimedia. CCF A-[KDD2024] Hao Yu (博士生), Xin Yang, Xin Gao (硕士生), Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li. Personalized Federated Continual Learning via Multi-Granularity Prompt. The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. CCF A-[CVPR2024] Xin Gao (硕士生), Xin Yang, Hao Yu (博士生), Yan Kang, Tianrui Li. FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer. The 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition.
（3）持续学习： CCF A-[中国科学：信息科学2026] 曹雪梅 (博士生)，李永豪，王向坤 (博士生)，喻皓 (博士生)，李天瑞，杨新. 面向持续学习的主动遗忘框架. 中国科学：信息科学. CCF A-[MM2026] Xuemei Cao (博士生), Yajing Zhou, Hao Yu, Xiangkun Wang, Jiahao Zhao, Tianrui Li, Xin Yang. Tune Less, Erase Better: Angle-Guided Multi-Granularity Unlearning in Continual Learning. The 34st ACM International Conference on Multimedia. CCF A-[ICLR2026] Guannan Lai (本科生), Da-Wei Zhou, Xin Yang, Hanjia Ye. The Lie of the Average: How Class Incremental Learning Evaluation Deceives You? The 14th International Conference on Learning Representations. CCF A-[KDD2025] Xuemei Cao (博士生), Hanlin Gu, Xin Yang, Bingjun Wei (硕士生), Haoyang Liang (硕士生), Xiangkun Wang (硕士生), Tianrui Li. ErrorEraser: Unlearning Data Bias for Improved Continual Learning. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. CCF A-[CVPR2025] Guannan Lai (本科生), Yujie Li (博士生), Xiangkun Wang (硕士生), Junbo Zhang, Tianrui Li, Xin Yang. Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping. The 42st IEEE/CVF Conference on Computer Vision and Pattern Recognition. CCF A-[IEEE TKDE2024] Yujie Li (博士生), Xin Yang, Giang Gao, Hao Wang, Junbo Zhang, Tianrui Li. Cross-regional Fraud Detection via Continual Learning with Knowledge Transfer. IEEE Transactions on Knowledge and Data Engineering.
CCF A-[MM2023] 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. CCF A-[WWW2023] 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. CCF A-[AAAI2023] 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. 中科院1区Top-[PR2026] Haoyang Liang (硕士生), Bingjun Wei (硕士生), Xuemei Cao (博士生), Jiafen Liu, Xiaocao Ouyang, Jiangtao Qiu, Hao Wang, Xin Yang, Tianrui Li. Continual deep multi-view clustering via contrastive knowledge replay. Pattern Recognition. 中科院1区Top-[PR2026] Yangyang Wang (硕士生), Yonghao Li, Xuemei Cao (博士生), Hao Yu (博士生), Jiafen Liu, Xin Yang. Lifelong Multi-View Clustering with Anchor-Prototype Collaboration. Pattern Recognition.
（4）开放持续学习： [arXiv2025] Yujie Li (博士生), Guannan Lai (本科生), Xin Yang, Yonghao Li, Marcello Bonsangue, Tianrui Li. Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer. https://arxiv.org/abs/2502.20124 CCF A-[软件学报2025] 李昱洁 (博士生)，吴晗 (本科生)，孟丹，李天瑞，杨新. 面向开放世界持续学习的任务敏感提示驱动的混合专家模型. 软件学报. CCF A-[KDD2025] Yujie Li (博士生), Xiangkun Wang (硕士生), Xin Yang, Marcello Bonsangue, Junbo Zhang, Tianrui Li. Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. CCF A-[AAAI2025] Yanhua Li (博士生), Xiaocao Ouyang, Chaofan Pan (博士生), Jie Zhang (硕士生), Sen Zhao, Shuyin Xia, Xin Yang, Guoyin Wang, Tianrui Li. Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary. The 39th Annual AAAI Conference on Artificial Intelligence. CCF A-[IEEE TKDE2024] Xuemei Cao (博士生), Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li. Open Continual Feature Selection via Granular-Ball Knowledge Transfer. IEEE Transactions on Knowledge and Data Engineering. CCF A-[AAAI2024] 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. 中科院2区-[ASOC2025] Xuemei Cao (博士生), Xiangkun Wang (硕士生), Haoyang Liang (硕士生), Bingjun Wei (硕士生), Xin Yang. Open continual sampling with hypersphere knowledge transfer for rapid feature selection. Applied Soft Computing. 中科院1区Top-[PR2026] Yanhua Li (博士生), Xiaocao Ouyang, Jie Zhang (硕士生), Chaofan Pan (博士生), Lingfei Ren, Xin Yang. Beneficial noise learning for open intent classification via granular-ball representation. Pattern Recognition. 中科院2区-[NN2025] Jie Zhang (硕士生), Yanhua Li (博士生), Xiaocao Ouyang, Linbo Xiong (硕士生), Xiangkun Wang (博士生), Jingkai Wang (硕士生), Xin Yang, Tianrui Li. Federated Open Intent Classification via Granular-Ball Knowledge Representation. Neural Networks.
中科院2区-[NN2026] Jingkai Wang (硕士生), Xiangkun Wang (博士生), Jiafen Liu, Xiaocao Ouyang, Yanhua Li (博士生), Jie Zhang (硕士生), Xin Yang. Robust Open Intent Classification in Many-Shot and Few-Shot Scenarios. Neural Networks.
（5）持续强化学习： [arXiv2025] Chaofan Pan (博士生), Jiafen Liu, Yanhua Li (博士生), Linbo Xiong (硕士生), Fan Min, Wei Wei, Xin Yang. Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces. https://arxiv.org/abs/2506.05702. CCF A-[KDD2026] Chaofan Pan (博士生), Lingfei Ren, Linbo Xiong (硕士生), Yonghao Li, Wei Wei, Xin Yang. Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. CCF A-[IJCAI2025] Chaofan Pan (博士生), Lingfei Ren, Yihui Feng (硕士生), Linbo Xiong (硕士生), Wei Wei, Yonghao Li, Xin Yang. Multi-granularity Knowledge Transfer for Continual Reinforcement Learning. The 34th International Joint Conference on Artificial Intelligence. CCF A-[AAAI2025] Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang. Dynamic Uncertainty Estimation for Offline Reinforcement Learning. The 39th Annual AAAI Conference on Artificial Intelligence.
※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。 欢迎加入认知计算与群智协同创新团队。相关信息可查看团队主页http://ccci.swufe.edu.cn。
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