金融科技、金融工程与风险管理
杨新
教授
杨新，教授。研究方向包括机器学习、数据挖掘和金融科技。
教育背景
- 西南交通大学，工学博士
代表性论文
- Tao Fan, Hanlin Gu, Xuemei Cao,..., Yihui Feng,..., Xin Yang,..., Hao Yu,..., Qiang Yang. Challenging Problems in Federated Foundation Models. IEEE Transactions on Knowledge and Data Engineering, 2025.
- Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li. Federated Continual Learning via Knowledge Fusion: A Survey. IEEE Transactions on Knowledge and Data Engineering, 2024.
- 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, 2025.
- 吴美君，杨新，潘超凡，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, 2025.
- Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang. Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario. The 40th AAAI Conference on Artificial Intelligence, 2026.
- Hao Yu, 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 42nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
- Hao Yu, Xin Yang, Xin Gao, Yihui Feng, Hao Wang, Yan Kang, Tianrui Li. Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. The 32nd ACM International Conference on Multimedia, 2024.
- Hao Yu, Xin Yang, Xin Gao, 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, 2024.
- Xin Gao, Xin Yang, Hao Yu, 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, 2024.
- Guannan Lai, 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, 2026.
- Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li. ErrorEraser: Unlearning Data Bias for Improved Continual Learning. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
- Guannan Lai, Yujie Li, Xiangkun Wang, Junbo Zhang, Tianrui Li, Xin Yang. Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping. The 42nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
- Yujie Li, 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, 2024.
- 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, 2023.
- Miaomiao Li, 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.
- Yujie Li, Yuxuan Yang, Qiang Gao, Xin Yang. Cross-regional Fraud Detection via Continual Learning. The 37th AAAI Conference on Artificial Intelligence, 2023.
- Haoyang Liang, Bingjun Wei, Xuemei Cao, Jiafen Liu, Xiaocao Ouyang, Jiangtao Qiu, Hao Wang, Xin Yang, Tianrui Li. Continual deep multi-view clustering via contrastive knowledge replay. Pattern Recognition, 2026.
- Yangyang Wang, Yonghao Li, Xuemei Cao, Hao Yu, Jiafen Liu, Xin Yang. Lifelong Multi-View Clustering with Anchor-Prototype Collaboration. Pattern Recognition, 2026.
- 李昱洁，吴晗，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, 2025.
- Yujie Li, Xiangkun Wang, 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, 2025.
- Yanhua Li, Xiaocao Ouyang, Chaofan Pan, Jie Zhang, 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, 2025.
- Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li. Open Continual Feature Selection via Granular-Ball Knowledge Transfer. IEEE Transactions on Knowledge and Data Engineering, 2024.
- Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li. Learning to Prompt Knowledge Transfer for Open-World Continual Learning. The 38th Annual AAAI Conference on Artificial Intelligence, 2024.
- Xuemei Cao, Xiangkun Wang, Haoyang Liang, Bingjun Wei, Xin Yang. Open continual sampling with hypersphere knowledge transfer for rapid feature selection. Applied Soft Computing, 2025.
- Chaofan Pan, Lingfei Ren, Yihui Feng, Linbo Xiong, Wei Wei, Yonghao Li, Xin Yang. Multi-granularity Knowledge Transfer for Continual Reinforcement Learning. The 34th International Joint Conference on Artificial Intelligence, 2025.
- 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, 2025.
- Yanhua Li, Xiaocao Ouyang, Jie Zhang, Chaofan Pan, Lingfei Ren, Xin Yang. Beneficial noise learning for open intent classification via granular-ball representation. Pattern Recognition, 2026.
- Jie Zhang, Yanhua Li, Xiaocao Ouyang, Linbo Xiong, Xiangkun Wang, Jingkai Wang, Xin Yang, Tianrui Li. Federated Open Intent Classification via Granular-Ball Knowledge Representation. Neural Networks, 2025.
- Jingkai Wang, Xiangkun Wang, Jiafen Liu, Xiaocao Ouyang, Yanhua Li, Jie Zhang, Xin Yang. Robust Open Intent Classification in Many-Shot and Few-Shot Scenarios. Neural Networks, 2025.
- Xiaocao Ouyang, Yanhua Li, Jie Zhang, Xin Yang, Yan Yang, Junbo Zhang, Wei Huang, Tianrui Li, Zhiquan Liu. Enhancing Cross-City Spatio-Temporal Prediction via Dynamic Multi-Scale Hypergraph Learning with Domain Adversarial Training. Information Fusion, 2025.
- Xiaocao Ouyang, Yanhua Li, Dongyu Guo, Wei Huang, Xin Yang, Yan Yang, Junbo Zhang, Tianrui Li. Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network. Information Fusion, 2025.
- Yonghao Li, Xiangkun Wang, Xin Yang, Wanfu Gao, Weiping Ding, Tianrui Li. Fusion-enhanced multi-label feature selection with sparse supplementation. Information Fusion, 2025.
- Xiaolong Yang, Guannan Lai, Dan Meng, Xuemei Cao, Xin Yang. RACE: Robust adaptive and clustering elimination for noisy labels in continual learning. Knowledge-Based Systems, 2025.
- Yanhua Li, Jiafen Liu, Longhao Yang, Chaofan Pan, Xiangkun Wang, Xin Yang. Three-way open intent classification with nearest centroid-based representation. Information Sciences, 2024.
- Xin Yang, Meijun Wu, Longsheng Chen, Gang Kou. Continual three-way decisions via knowledge transfer. Applied Soft Computing, 2024.
- Qiang Gao, Wei Wang, 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.
专业方向
- 机器学习
- 数据挖掘
- 金融科技
研究专长
- 人工智能在金融风控、合规审查与财务监管中的应用
- 大语言模型与数智会计教育
主要获奖
- 吴文俊人工智能科技进步二等奖
- CCF科技进步三等奖
- 四川省科技进步二等奖、三等奖