2022-04-12
谢传龙， 统计与数据科学研究中心特聘副研究员，硕士生导师
Email：clxie AT bnu.edu.cn
研究领域
稳健泛化，深度学习，模型检验
学习和工作经历
2007年9月-2011年6月 山东师范大学 学士
2011年9月-2014年6月 北京师范大学 硕士
2014年9月-2017年9月 香港浸会大学 博士
2017年9月-2019年7月 暨南大学 助理教授
2019年9月-2022年3月 华为诺亚方舟实验室 研究员
代表论文
[1] Guan, Y., Xie, C., & Zhu, L. (2017). Sufficient Dimension Reduction with Mixture Multivariate Skew-Elliptical Distributions. Statistica Sinica, 335-355.
[2] Zhao, J., & Xie, C. (2018). A Nonparametric Test for Covariate-Adjusted Models. Statistics & Probability Letters, 133, 65-70.
[3] Xie, C., & Zhu, L. (2018). A Minimum Projected-Distance Test for Parametric Single-Index Berkson Models. Test, 27(3), 700-715.
[4] Koul, H. L., Xie, C., & Zhu, L. (2019). An Adaptive-to-Model Test for Parametric Single-Index Errors-in-Variables Models. Statistica Sinica, 29(3), 1511-1534.
[5] Xie, C., & Zhu, L. (2019). A Goodness-of-Fit Test for Variable-Adjusted Models. Computational Statistics & Data Analysis, 138, 27-48.
[6] Gadau, M., Zhang, S., Wang, F., Liguori, S., Li, W., Liu, W., …, & Xie, C. (2020). A Multi-Center International Study of Acupuncture for Lateral Elbow Pain-Results of a Randomized Controlled Trial. European Journal of Pain, 24(8), 1458-1470.
[7] Xie, C., & Zhu, L. (2020). Generalized Kernel-Based Inverse Regression Methods for Sufficient Dimension Reduction. Computational Statistics & Data Analysis, 150, 106995.
[8] Peng, H., Xie, C., & Zhao, J. (2021). Fast inference for semi-varying coefficient models via local averaging.Computational Statistics & Data Analysis, 157, 107126.
[9] Zhou, F., Li, J., Xie, C., Chen, F., Hong, L., Sun, R., & Li, Z. (2021, AAAI). MetaAugment: Sample-Aware Data Augmentation Policy Learning.
[10] Li, Z., Xie, C., & Wang, Q. (2021, ICML). Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator.
[11] Xu, H., Kang, N., Zhang, G., Xie, C., Liang, X., & Li, Z. (2021, ICCV). NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.
[12] Ye, H., Xie, C., Cai, T., Li, R., Li, Z., & Wang, L. (2021, NeurlPS). Towards a theoretical framework of out-of-distribution generalization.
[13] Muhammad, A., Zhou, F., Xie, C., Li, J., Bae, S. H., & Li, Z. (2021, NeurlPS). MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.
[14] Hu, S., Xie, C., Liang, X., & Chang, X. (2022, ICML). Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL.
[15] Zhu, Y., Chen, Y., Xie, C., Li, X., Zhang, R., Xue, H., Tian, X. and Chen, Y. (2022,NeurlPS). Boosting Out-of-distribution Detection with Typical Features.
[16] Dong, Q., Muhammad, A., Zhou, F., Xie, C., Hu, T., Yang, Y., Bae, S.H. and Li, Z., (2022, NeurlPS). ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.
[17] Dong, Q., Zhou, F., King, N., Xie, C., Zhang, S., Li, J., Peng, H., and Li., Z. (2023, AAAI) DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization.
[18] Sun, R., Zhou, F., Dong, Z., Xie, C., Hong, L., Li, J., Zhang, R., Li, Z., and Li, Z. (2023, AAAI) Fair CDA: Continuous and Directional Augmentation for Group Fairness.
主持、参与的科研项目
国家自然科学基金面上项目, 回归中的假设检验：一个模型自适应方法. (参与)
国家自然科学基金青年项目,深度神经网络稳健性的若干统计学问题研究. (主持)
学术服务
ICML,NeurlPS, ICLR, CVPR, AAAI, AISTATS审稿人
