2024年，在全院师生的共同努力之下，学院学科建设取得了一系列成果，在多个领域取得了突破，主要工作业绩包括：
1. 科研论文
截止12月底，本年内共以一作/通讯作者发表SCI/EI论文95篇，同比2023年增长10%以上。除在统计学顶刊发表论文之外，学院教师在生物统计、概率论、信息论、计量经济、机器学习顶刊以及计算机顶级会议方面均有优秀成果发表，主要包括：
统计学国际四大顶刊7篇、生物统计与生物信息Nature Cancer 1篇、计量经济顶刊Journal of Econometrics 2篇、信息论顶刊IEEE Transactions on Information Theory 5篇、机器学习顶刊IEEE Transactions on Knowledge and Data Engineering 2篇和Journal of Machine Learning Research 3篇、遥感顶刊IEEE Transactions Geoscience and Remote Sensing 3篇，计算机顶会NeurIPS 4篇、IMCL 2篇、AAAI 2篇。
2.科研项目
本年度共主持70项各类科研项目（纵向62项，横向8项），包括国家自然科学基金、军委科技委项目、国家重点研发计划课题等。同比去年新增纵向项目14项，横向项目2项，包括国家自然科学基金“数学与智能+”交叉重点专项2项、天津市科技重大专项与工程1项、先进技术类重大横向项目1项等。2024年3名在读博士生获批国家自然科学基金青年学生基础研究项目，2名博士毕业生获得2024年博新计划A类资助。
3.社会服务
2024年，学院教师积极与业界合作，开展社会服务和成果转化工作。其中，冯龙教授团队与深圳悟空投资有限公司合作在经济学顶刊Journal of Business & Economic Statistics发表论文1篇，校企平台建设成效显著；周永道团队获得华为“难题揭榜”火花奖，张瑶与中汽数据（天津）合作获得天津市科技进步二等奖，于磊被聘为信息论顶刊IEEE TIT副主编。
学院承办中国现场统计研究会第十一届第三次会员代表大会暨2024年统计学术会议、2024年度生物信息与生物统计学术研讨会、2024南开试验设计论坛等学术会议，为学界和业界人士提供交流平台。在2024年6月举办国家统计局首席统计师培训班，培训内容包括新质生产力和高质量发展、统计学和数据科学前沿、数字经济等，培训对象为国家统计局各部门近30位首席统计师。
4.学生获奖
获学科类竞赛省市级荣誉159项，4个学生团队获得全国大学生数学建模大赛获得全国一等奖(全校共四组)；2个学生团队获第21届中国研究生数学建模竞赛国家二等奖；4名学生获得美国大学生数学建模大赛F奖(国际特等奖提名)；1名学生获天津市优秀学生称号。
5.教学成果
王兆军教授获得2024年宝钢优秀教师奖，博士生吴浩获得2024年宝钢优秀学生奖，为校内唯一师生均获奖的学院。
王兆军教授入选“统计学101计划”专家组，王兆军、邹长亮、周永道和冯龙编写“数学101计划”之《数理统计》，刘民千和邹长亮分别负责编写“统计学101计划”之《数据抽样与试验设计》、《时间序列分析》。
刘民千教授团队的《试验设计》课程入选第三批天津市一流本科建设课程，课程类型为线上线下混合式课程。
统计与数据科学学院师生将继续对标国家重大战略，在基础理论和前沿应用领域开展科学研究和人才培养工作，服务经济社会发展。
附：2024年高水平期刊论文列表
题目 | 全部作者 | 发表刊物/会议 | 年份 | 院内教师 | 院内学生 |
Selective conformal inference with false coverage-statement rate control | Bao, Yajie; Huo, Yuyang; Ren, Haojie; Zou, Changliang | BIOMETRIKA | 2024 | 邹长亮 | 霍雨阳 |
Semi-supervised distribution learning | Mengtao Wen, Yinxu Jia, Haojie Ren, Zhaojun Wang, Changliang Zou | BIOMETRIKA | 2024 | 王兆军、邹长亮 | 温梦涛、贾寅旭 |
Model-Free Statistical Inference on High-Dimensional Data | Guo, Xu; Li, Runze; Zhang, Zhe; Zou, Changliang | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2024 | 邹长亮 | |
Graphical Principal Component Analysis of Multivariate Functional Time Series | Tan, Jianbin; Liang, Decai; Guan, Yongtao; Huang, Hui | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2024 | 梁德才 | |
Large-Scale Two-Sample Comparison of Support Sets | Geng, Haoyu; Cui, Xiaolong; Ren, Haojie; Zou, Changliang | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2024 | 邹长亮 | 耿昊煜、崔小龙 |
Optimal Linear Discriminant Analysis for High-Dimensional Functional Data | Xue, Kaijie; Yang, Jin; Yao, Fang | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2024 | 薛楷杰 | |
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs | Yang, Liuqing; Zhou, Yongdao; Fu, Haoda; Liu, Min-Qian; Zheng, Wei | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2024 | 刘民千、周永道 | 杨柳青 |
Targeted activation of ferroptosis in colorectal cancer via LGR4 targeting overcomes acquired drug resistance | Zheng, Hao; Liu, Jinming; Cheng, Qi; Zhang, Qianping; Zhang, Yaoyao; Jiang, Lingyu; Huang, Yan; Li, Wenlei; Zhao, Yanping; Chen, Guo; Yu, Fan; Liu, Lei; Li, Yanjun; Liao, Xudong; Xu, Lai; Xiao, Yi; Zheng, Zhibo; Li, Ming; Wang, Hongyi; Hu, Gang; Du, Lei; Chen, Quan | NATURE CANCER | 2024 | 胡刚 | 赵艳萍 |
Efficient quantile covariate adjustedresponse adaptive experiments | Li, Zhonghua; Lan, Luo;Wang, Jingshen; Feng, Long | JOURNAL OF ECONOMETRICS | 2024 | 李忠华、冯龙 | |
Rank-based max-sum tests for mutual independence of high-dimensional random vectors | Wang, Hongfei; Liu, Binghui; Feng, Long; Ma, Yanyuan | JOURNAL OF ECONOMETRICS | 2024 | 冯龙 | |
Robust Estimation of High-Dimensional Linear Regression With Changepoints | Cui, Xiaolong; Geng, Haoyu; Wang, Zhaojun; Zou, Changliang | IEEE TRANSACTIONS ON INFORMATION THEORY | 2024 | 王兆军、邹长亮 | 耿昊煜、崔小龙 |
Renyi-Sobolev Inequalities and Connections to Spectral Graph Theory | Yu, Lei; Wu, Hao | IEEE TRANSACTIONS ON INFORMATION THEORY | 2024 | 于磊 | 吴浩 |
Exact Exponents for Concentration and Isoperimetry in Product Polish Spaces | Yu, Lei | IEEE TRANSACTIONS ON INFORMATION THEORY | 2024 | 于磊 | |
Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity | Yu, Lei; Anantharam, Venkat; Chen, Jun | IEEE TRANSACTIONS ON INFORMATION THEORY | 2024 | 于磊 | |
A rainbow framework for coded caching and its applications | Xu, M., Xu, Z., Ge, G. and Liu, M. Q. | IEEE TRANSACTIONS ON INFORMATION THEORY | 2024 | 刘民千 | 徐民 |
Low-Rank Matrix Estimation in the Presence of Change-Points | Shi, Lei; Wang, Guanghui; Zou, Changliang | JOURNAL OF MACHINE LEARNING RESEARCH | 2024 | 邹长亮 | |
GGD: Grafting Gradient Descent | Feng, Yanjing; Zhou, Yong-Dao | JOURNAL OF MACHINE LEARNING RESEARCH | 2024 | 周永道 | 冯燕京 |
Inference on High-dimensional Single-index Models with Streaming Data | Dongxiao Han; Jinhan Xie;Jin Liu;Liuquan Sun;Jian Huang;Bei Jiang;Linglong Kong | JOURNAL OF MACHINE LEARNING RESEARCH | 2024 | 韩东啸、刘进 |
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Model-free Subsampling Method Based on Uniform Designs | Zhang, M. Zhou, Y.D., Zhou Z. and Zhang, A. | IEEE Transactions on Knowledge and Data Engineering | 2024 | 周永道 | |
Optimization of Graph Clustering Inspired by Dynamic Belief Systems | Li, Huijia; Cao, Haobin; Feng, Yuhao; Li, Xiaoyan; Pei, Jian | IEEE Transactions on Knowledge and Data Engineering | 2024 | 李慧嘉 |
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Conformalized Multiple Testing after Data-dependent Selection | Xiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou | 38th Conference on Neural Information Processing Systems (NeurIPS 2024) | 2024 | 邹长亮 | 王晓宁、霍雨阳 |
Real-Time Selection Under General Constraints via Predictive Inference | Yuyang Huo, Lin Lu, Haojie Ren, Changliang Zou | 38th Conference on Neural Information Processing Systems (NeurIPS 2024) | 2024 | 邹长亮 | 霍雨阳、卢琳 |
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference | Geng Chen, Yinxu Jia, Guanghui Wang, Changliang Zou | 38th Conference on Neural Information Processing Systems (NeurIPS 2024) | 2024 | 邹长亮 | 陈耕、贾寅旭 |
Robust group and simultaneous inferences for high-dimensional single index model | Yang, W., Shi, H., Guo,X. and Zou, C. | 38th Conference on Neural Information Processing Systems (NeurIPS 2024) | 2024 | 邹长亮 |
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ByMI: Byzantine Machine Identification with False Discovery Rate Control | Chengde Qian, MengyuanWang, Haojie Ren, Changliang Zou | ICML, 2024 | 2024 | 邹长亮 | 钱成德、王梦圆 |
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation | Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu | ICML, 2024 | 2024 | 徐君 | 杨雨辰 |
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers | Yuhao Yi, Ronghui You, Changxin Liu, Yuan Wang, Jiancheng Lv | AAAI, 2024 | 2024 | 游榕晖 | |
Uncertainty Quantification for Data-Driven Change-Point Learning via | Hui Chen, Yinxu Jia, GuanghuiWang, Changliang Zou | AAAI, 2024 | 2024 | 邹长亮 | 贾寅旭 |
A Reversible Generative Network for Hyperspectral Unmixing With Spectral Variability | Gao, Yuyou; Pan, Bin; Xu, Xia; Song, Xinyu; Shi, Zhenwei | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2024 | 潘斌 | 高瑜佑 |
Cascaded Memory Network for Optical Remote Sensing Imagery Cloud Removal | Liu, Jiao; Pan, Bin; Shi, Zhenwei | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2024 | 潘斌 |
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MiSSNet: Memory-Inspired Semantic Segmentation Augmentation Network for Class-Incremental Learning in Remote Sensing Images | Xie, Jiajun; Pan, Bin; Xu, Xia; Shi, Zhenwei | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2024 | 潘斌 | 谢家骏 |