Profile:

一、个人简介

田隆，西安电子科技大学副教授，硕士生导师，工学博士。分别于2015年和2021年在西安电子科技大学获得学士和博士学位，2021年留校参加工作。师从雷达信号处理专家刘宏伟教授，同时受到西安电子科技大学机器学习、统计信号处理领域专家陈渤教授和美国德克萨斯大学奥斯汀分校统计机器学习专家周明远教授的良好指导。目前主要从事小样本表示学习方法研究，包括小样本目标检测、小样本分类以及小样本异常检测等。相关成果发表于NeurIPS，ICML，ICCV及ICLR等国际会议和TNNLS，TGRS以及TAES等国际期刊上。先后主持和参与了多项国家级纵向课题的研究工作。

二、近期工作：

1. Zhang J, Dong H, Tian L*, He X, Sun H, Liu Y, Sparse Bayesian Network for Fast Micro-Doppler Analysis. IEEE ICASSP, 2025. (学生一作，Corresponding) (CCF-B类会议)

2. Yang X, Li Y, Tian L*, Ting L, Liu X, Wang P. Foreground-aware Prototypical Network for Prohibited Item Detection from X-ray Scans. IEEE ICASSP, 2025. (学生一作，Corresponding) (CCF-B类会议)

3. Guo Z, Tian L*, Chen W, Fang M, Liu H. Max-Mahalanobis Centers guided Adversarial Network for Generalized Few-shot Radar Target Recognition. IEEE Transactions on Aerospace and Electronic Systems (IEEE TAES), 2024. （Equal，学生一作）（已录用，信号处理顶级期刊）

4. Tian L, Zhao H, Lu R, Wang R, Wu Y, Wang L, He X, Liu X. FOCT: Few-shot Industrial Anomaly Detection with Foreground-aware Online Conditional Transport. ACM International Conference on Multimedia (ACM MM),  2024. (CCF-A类会议)

5. Tian L, Feng J, Chai X, Chen W, Wang L, Liu X, Chen B. Prototypes-oriented Transductive Few-shot Learning with Conditional Transport. InProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (pp. 16317-16326)（CCF-A类会议）

6. Lu R, Wu Y, Tian L*, Wang D, Chen B, Liu X, Hu R. Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection. Advances in Neural Information Processing Systems (NeurIPS). 2024 Feb 13;36. (Corresponding)（CCF-A类会议）

7. Chen W, Tian L*, Chen B, Dai L, Duan Z, Zhou M. Deep variational graph convolutional recurrent network for multivariate time series anomaly detection. International Conference on Machine Learning (ICML). 2022 Jun 28 (pp. 3621-3633). PMLR. (Equal)（CCF-A类会议）

8. Zhang H, Tian L*, Wang Z, Xu Y, Cheng P, Bai K, Chen B. Multiscale Visual-attribute Co-attention for Zero-shot Image Recognition. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS). 2021 Dec 17;34(9):6003-14. (Equal)（CCF-B类期刊，中科院一区）

9. Dai F, Liu J, Tian L*, Dong H, Hong L. An End-to-end Approach for Rigid-body Target Micro-Doppler Analysis based on Asymmetrical Autoencoding Network. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS). 2023 Mar 13;61:1-9. (Corresponding)（中科院一区期刊）

10. Guo D, Tian L, Zhang M, Zhou M, Zha H. Learning Prototype-oriented Set Representations for Meta Learning. International Conference on Learning Representations (ICLR). 2021 Oct 18.（清华大学，CCF-A类会议）

11. Guo D, Tian L, Zhao H, Zhou M, Zha H. Adaptive Distribution Calibration for Few-shot Learning with Hierarchical Optimal Transport. Advances in Neural Information Processing Systems (NeurIPS). 2022 Dec 6;35:6996-7010.（CCF-A类会议）

12. Li Y, Chen W, Chen B, Wang D, Tian L, Zhou M. Prototype-oriented Unsupervised Anomaly Detection for Multivariate Time Series. International Conference on Machine Learning (ICML). 2023 Jul 3 (pp. 19407-19424). PMLR.（CCF-A类会议）

三、（未来）感兴趣的研究方向：

1. （动态）三维重建及渲染

四、其他

感谢同学们的关注，本人2026级尚有一个保研名额，欢迎有热情、有基础、吃苦耐劳且认真做事的同学们加入！（PS：提前会分配任务进行考察，考察通过后的同学方可入组。）

十分期待志同道合（有passion有想做有意思研究的想法）的同学们加入！Making research that looks boring less boring！顺便一提，科研之余想找网球搭子的同学也欢迎与我联系（PS：坚持了快10年的一丢丢爱好）！