Welcome to Deng Lab

统领万象，计谋千方

科研成果

期刊论文

  1. .Linru Fu#, Che Wang#, Ye Tao, Zhaoyang Liu, Zhijing Sun*, Lan Zhu*, Ke Deng* (2025). High-Quality Triage and Accurate Diagnosis of Gynecological Diseases via Artificial Intelligence. Artificial Intelligence in Medicine, 170: 103267.
  2. Yang Yang, Ke Deng* and Yu M. Zhu* (2025) Bayesian Optimization with Pareto-Principled Training for Economical Hyperparameter Optimization. Online published in Statistica Sinica.
  3. Zhe Du#, Zhaoyang Liu#, Linru Fu, Che Wang, Zhijing Sun*, Lan Zhu* and Ke Deng* (2025). Personalized Surgical Treatment Recommendation with Joint Consideration of Multiple Decision-Making Dimensions. npj Digital Medicine, 8: 168.
  4. Jiaze Xu, Changzai Pan and Ke Deng* (2025). Unsupervised Learning of Domain-Specific Texts via a Dual-Dictionary Model. The Annals of Applied Statistics, 19(2): 1147-1166.
  5. Yuxuan Xie, Shirui Chen, Fan Zhou, Jun Wang, Yinan Liu, Yucheng Gao, Xiangliang Yan, Ke Deng and Chao Chen (2025). Development of a Hybrid Algal Population Prediction (HAPP) Model by Algae Growth Potential Estimation and Time Series Regression and Its Application in One Reservoir in China. Water Research, 287: 124419.
  6. Zhaoyang Liu, Tingxuan Han, Donald B. Rubin and Ke Deng* (2025). A Bayesian Criterion for Rerandomization. Online published in Journal of the American Statistical Association.
  7. Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He and Jun S. Liu (2024). High-Dimensional Bayesian Optimization for Metamaterial Design. Materials Genome Engineering Advances, 2(4): e79.
  8. Yichao Li#, Wenshuo Wang#, Ke Deng* and Jun S. Liu* (2024). Differentiable Particle Filters with Smoothly Jittered Resampling. Statistica Sinica, 34: 1241-1262.
  9. Yang Yang, Ke Deng* and Yu M. Zhu* (2024) Multi-level Training and Bayesian Hierarchical Modeling for Economical Hyperparameter Optimization. Online published in Statistica Sinica. (Co-corresponding author)
  10. Yichao Li#, Wenshuo Wang#, Ke Deng*, Jun S. Liu* (2024) Differentiable Particle Filters with Smoothly Jittered Resampling. Online published in Statistica Sinica. (Co-corresponding author)
  11. Shen Chong#, Minyue Pei#, Xiaoxiao Wang, Yiming Zhao, Luning Wang, Jiping Tan*, Ke Deng*, Nan Li* (2023) Robust Estimation of Dementia Prevalence from a Two-Phase Survey with Missing Responses via Propensity Score Stratification. BMC Medical Research Methodology, 23(1): 130. (Co-corresponding author)
  12. Yixiong Xiao, Jingbo Zhou, Qu Cheng, Jun Yang, Bin Chen, Tao Zhang, Lei Xu, Bo Xu, Zhehao Ren, Zhaoyang Liu, Chong Shen, Che Wang, Han Liu, Xiaoting Li, Ruiyun Li, Le Yu, Dabo Guan, Wusheng Zhang, Jie Wang, Lin Hou, Ke Deng, Yuqi Bai, Bing Xu, Dejing Dou, Peng Gong (2023) Global age-structured spatial modeling for emerging infectious diseases like COVID-19. PNAS Nexus, 2(5), pgad127.
  13. Feifei Huang, Lei Zhang, Moqin Zhou, Jianwen Li, Qing Liu, Bo Wang, Ke Deng, Pingping Zhou, Yongning Wu (2023) Polycyclic Aromatic Hydrocarbons in the Chinese Diet: Contamination Characteristics, Indicator Screening, and Health Risk Assessment. Food Additives & Contaminants: Part A, 40(5): 625-640.
  14. Nils Chr. Stenseth, Rudolf Schlatte, Xiaoli Liu, Roger Pielke, Jr., Ruiyun Li, Bin Chen, Ottar N. Bjørnstad, Dimitri Kusnezov, George Fu Gao, Christophe Fraser, Jason D Whittington, Yuqi Bai, Ke Deng, Peng Gong, Dabo Guan, Yixiong Xiao, Bing Xu, Einar Broch Johnson (2023) How to Avoid a Local Epidemic becoming a Global Pandemic? Proceedings of the National Academy of Sciences of USA, 120 (10), e2220080120.
  15. Wanchuang Zhu, Yingkai Jiang, Jun S. Liu and Ke Deng* (2023) Partition-Mallows Model and Its Inference for Rank Aggregation. The Journal of the American Statistical Association, 118 (541), 343-359.
  16. Yang Yang and Ke Deng* (2023) Generalized Theme Dictionary Models for Association Pattern Discovery. The Annals of Applied Statistics, 17 (1), 269-293.
  17. Changzai Pan, Feiyue Li, Ke Deng* (2023) TopWORDS-Poetry: Simultaneous Text Segmentation and Word Discovery for Classical Chinese Poetry via Bayesian Inference. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 3372–3386, Singapore. Association for Computational Linguistics.
  18. 缪璐，朱珂，曹轶群，周墨钦，高梦昭，陀雄信，邓柯*（2023）多维度食品安全评估指数体系模型的构建及应用，《食品与机械》, 39(5), 49-54.
  19. Yang Yang and Ke Deng* (2023) Generalized Theme Dictionary Models for Association Pattern Discovery. The Annals of Applied Statistics Vol. 17, No. 1, 269–293.
  20. Shengen Shawn Hu, Lin Liu, Qi Li, Wenjing Ma, Michael J. Guertin, Clifford A. Meyer, Ke Deng, Tingting Zhang, Chongzhi Zang (2022) Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA. Nature Communications, 13(1): 5533.
  21. Yichao Li and Ke Deng* (2022) Simultaneous Topology and Loss Tomography via Theme Dictionary Models. IEEE Transactions on Signal Processing, 70, 4239-4251.
  22. Pei Cao, Lei Zhang, Yang Yang, Xiaodan Wang, Zhaoping Liu, Jianwen Li, Liyuan Wang, Sookja Chung, Moqin Zhou, Ke Deng, Pingping Zhou, Pinggu Wu (2022) Analysis of furan and its major furan derivatives in coffee products on the Chinese market using HS-GC-MS and the estimated exposure of the Chinese population. Food Chemistry, 387, 132823-.
  23. Hao Xu#, Tingxuan Han#, Haifeng Wang, Shanggui Liu, Guanghao Hou, Guanchao Jiang, Jun Wang*, Ke Deng*, Jian Zhou* (2022) Detection of Blood Stains Using Computer Vision Based Algorithm and Its Association with Postoperative Outcomes in Thoracoscopic Lobectomy. European Journal of Cardio-Thoracic Surgery, 62(5), ezac154.
  24. Yichao Li#, Wenshuo Wang#, Ke Deng*, Jun S. Liu* (2022) Stratification and Optimal Resampling for Sequential Monte Carlo. Biometrika, 109 (1), 181–194.
  25. 朱珂，姜瑛恺，王祥，史志呈，杨超，刘汉中*，邓柯*（2022）领域知识与大数据推断相结合的定制化生产产品认证新模式研究. 应用概率统计, 38(4): 581-602.
  26. 李艺超，徐崇元，方海萍，高梦昭，牛晓月，宋志刚，李建军，邓柯* (2022) 进口动物产品潜在入侵疫病风险评估的统计学模型和方法.《数理统计与管理》, 41(5): 775-785.
  27. Zhehao Ren, Ruiyun Li, Tao Zhang, Bin Chen, Che Wang, Miao Li, Shuang Song, Yixiong Xiao, Bo Xu, Zhaoyang Liu, Chong Shen, Dabo Guan, Lin Hou, Ke Deng, Yuqi Bai, Peng Gong*, Bing Xu* (2021) Reduction of human mobility matters during early COVID-19 outbreak: Evidence from India, Japan and China. International Journal of Environmental Research and Public Health, 18(6):2826.
  28. Feifei Wang, Junni Zhang, Yichao Li, Ke Deng, and Jun S. Liu (2021), Bayesian Text Classification and Summarization via A Class-Specified Topic Model. Journal of Machine Learning Research, 22 (89), 1-48.
  29. Haifeng Wang, Changzai Pan, Xiao Guo, Chunlin Ji*, Ke Deng* (2021) From Object Detection to Text Detection and Recognition: a Brief Evolution History of Optical Character Recognition. WIREs Computational Statistics, 13(5), e1547. https://doi.org/10.1002/wics.1547
  30. Yingkai Jiang, Xinshu Zhao, Lixing Zhu, Jun S. Liu and Ke Deng*(2021) Total- effect Test is Superfluous for Establishing Complementary Mediation. Statistica Sinica, 31 (2021), 1961-1983. View the PDF
  31. Junni Zhang, Feifei Wang, Yichao Li, Ke Deng, and Jun S. Liu (2021), Bayesian Text Classification and Summarization via A Class-Specified Topic Model. Journal of Machine Learning Research, 22 (89), 1-48.
  32. Haifeng Wang, Changzai Pan, Xiao Guo, Chunlin Ji*, Ke Deng* (2021) From Object Detection to Text Detection and Recognition: a Brief Evolution History of Optical Character Recognition. WIREs Computational Statistics, 13(5), e1547. (https://doi.org/10.1002/wics.1547, （Co-corresponding author)
  33. Yang Yang, Chunlin Ji* and Ke Deng* (2021) Rapid Design of Metamaterials via Multi-Target Bayesian Optimization. The Annals of Applied Statistics, 15 (2), 768-796. (Co-corresponding author)
  34. 王海沣，陈静*，邓柯*（2021）基于卷积神经网络的民国广告图片聚类方法，《数字人文》，2(1)，50-62（共同通讯）
  35. 李建军，高梦昭，邓柯，李艺超，郭瀚民，方海萍，赵明刚（2021）进口鸡肉传带禽伤寒沙门氏菌的定量风险评估，《中国动物检疫》, 38(1), 1-5.
  36. Qingru Wu, Yi Tang, Shuxiao Wang, Liang Li, Ke Deng, Guigang Tang, Kaiyun Liu, Dian Ding, Hui Zhang (2020) Developing a Statistical Model to Explain the Observed Decline of Atmospheric Mercury. Online published by Atmospheric Environment, 243 (2020), 117868. (https://doi.org/10.1016/j.atmosenv.2020.117868)
  37. Pan Wang#, Qi Li#, Gao Y., Nan Sun, Jun S. Liu, Ke Deng* and Jie He* (2020) MiRACLe: an individual-specific approach to improve microRNA-target prediction based on a random contact model. Briefings in Bioinformatics, 22(3), 1-14.  (Co-corresponding author)
  38. Rong Zhang, Ming Hu, Yu M. Zhu, Zhaohui S. Qin, Ke Deng, and Jun S. Liu (2020) Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(2), 647-656.
  39. 崔鹏，邓柯，王国豫，王禹皓，张江，朱军，朱占星 (2020) 安全可信智能的可能技术路径,《计算机学会通讯》, 16(11), 11-16.
  40. 徐嘉泽，潘长在，贺莉丽，王宏甦，张力伟，邓柯* (2020) 基于TopWORDS方法的古文献专名识别:以《汉书》和《明史》为例. 《数字人文》, 2, 90-105.
  41. Yang Yang, Qi Li, Zhaoyang Liu, Fang Ye and Ke Deng (2019). Understanding traditional Chinese medicine via statistical learning of expert-specific Electronic Medical Records. Quantitative Biology , 7(3), 210-232.
  42. 朱万闯，季春霖，邓柯(2019). 近似贝叶斯方法前沿研究进展及应用. 《应用数学与力学》，40卷，11期，1179-1202.
  43. Zhao X.S., Feng G.C., Liu J.S., and Deng K. (2018) We Once Agreed to Measure Agreement – Redefining Reliability De-justifies Krippendorff’s Alpha. China Media Research, 14(2), 1-15.
  44. Zhang R., Hu M., Zhu Y., Qin Z.S., Deng K., and Liu J.S. (2018) Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(2):647-656.
  45. Sun Z., Wang T., Deng K., Wang X.F., Lafyatis R., Ding Y., Hu M., Chen W. (2018) DIMM-SC: a Dirichlet Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data. Bioinformatics. 34(1), 139-146.
  46. 邓柯, 陈孟裕, 金锋, 焦阳, 丛林晔, 罗季阳, 殷杰 (2016) 中国进口食品风险评估的统计学方法《数理统计与管理》 , 35(5), 761-769.
  47. Deng K., Bol P.K., Li K.J., and Liu J.S. (2016) On the Unsupervised Analysis of Domain-Specific Chinese texts. Proceedings of the National Academy of Sciences of USA, 113(22), 6154-6159.
  48. Zang C, Wang T., Deng K., et al (2016) High-Dimensional Genomic Data Bias Correction and Data Integration Using MANCIE. Nature Communications, 11305. DOI: 10.1038/ncomms11305.
  49. Deng K., Li Y., Zhu W., and Liu J.S. (2016) Fast Parameter Estimation in Loss Tomography for Networks of General Topology. Annals of Applied Statistics, 10(1), 144-164.
  50. Deng K., Han S., Li J.K., and Liu J.S. (2014) Bayesian Aggregation of Order-Based Rank Data. Journal of the American Statistical Association, 109(507), 1023-1039.
  51. Deng K., Geng Z., and Liu J.S. (2014) Association Pattern Discovery via Theme Dictionary Models. Journal of the Royal Statistical Society, Series B, 76(2), 319–347.
  52. Hu M., Deng K., Qin Z.S., and Liu J.S. (2013) Understanding spatial organizations of chromosomes via quantitative analysis of Hi-C data. Quantitative Biology, 1(2), 156-174. (Co-first author)
  53. Hu M., Deng K., Selvaraj S., Qin Z.S., Ren B., and Liu J.S. (2013) HiCNorm: removing biases in Hi-C data via Poisson regression. Bioinformatics, 28(23), 3131-3133.
  54. Hu M., Deng K., Qin Z.S., Dixon J., Selvaraj S., Fang J., Ren B, and Liu J.S. (2013) Bayesian Inference of Spatial Organizations of Chromosomes. PLoS Computational Biology, 9(1): e1002893.
  55. Zhu W., Deng K. (2013) Scalable Delay Tomography, International Journal of Digital Content Technology and its Applications, 7(8), 58-67.
  56. Zhao X., Liu J.S., and Deng K. (2013) Assumptions behind inter-coder reliability indices. Annals of the International Communication Association, 36(1), 419-480.
  57. Deng K., Li Y., Zhu W., Geng Z., and Liu J.S. (2012) On Delay Tomography: Fast Algorithms and Spatially Dependent Models. IEEE Transactions on Signal Processing, 60(11), 5685-5697.
  58. He P., Deng K., Liu Z., Liu D., Liu J.S., and Geng Z. (2012) Discovering Herbal Functional Groups of Traditional Chinese Medicine. Statistics in Medicine, 31(7): 636-642. (Co-first author)
  59. Deng K., Liu D., Gao S., and Geng Z. (2005) Structural Learning of Graphical Models and its Applications to Traditional Chinese Medicine. Lecture Notes in Artificial Intelligence, 3614 (2), 362-367

科研项目

项目来源 项目内容 项目期限 项目金额 负责人
企事业单位委托项目 合作研究 2025年–2025年 88万（元） 邓柯
联合机构下属 合作研究 2024年–2029年 300万（元） 邓柯
国家自然科学基金 面上项目 2024年–2027年 43.5万（元） 邓柯
科技部重点研发计划 重点项目课题 2023年–2026年 240万（元） 邓柯
企事业单位委托项目 合作研究 2023年–2023年 81万（元） 邓柯
海关总署 合作研究 2023年–2023年 80万（元） 邓柯
机关事务管理局 合作研究 2022年–2022年 10万（元） 邓柯
海关总署 合作研究 2022年–2022年 140万（元） 邓柯
清华大学国强人工智能研究院 通用类重点研究项目 2021年–2023年 100万（元） 邓柯
海关总署 合作研究 2021年–2022年 33万（元） 邓柯
北京食品安全监控和风险评估中心 合作研究 2021年–2022年 21万（元） 邓柯
广西产品质量检验研究院 合作研究 2021年–2022年 10万（元） 邓柯
海关总署 合作研究 2021年–2021年 15万（元） 邓柯
科技部国家重点研发计划 重点项目课题 2020年–2023年 54万（元） 邓柯
北京市自然科学基金 重点项目课题 2020年–2023年 120万（元） 邓柯
国家自然科学基金 重点项目课题 2020年–2024年 50万（元） 邓柯
上海起承文化发展有限公司 合作研究 2020年-2020年 25万（元） 邓柯
北京智源人工智能研究院 研究员专项 2019年–2021年 140万(元) 邓柯
北京市自然科学基金 重点项目课题 2019年–2023年 120万（元） 邓柯
海关总署 合作研究 2019年–2020年 40万（元） 邓柯
国家社会科学基金 重大项目课题 2019年–2022年 10万(元) 邓柯
国家市场监督管理总局 合作研究 2019年–2020年 70万(元) 邓柯
海关总署 合作研究 2018年–2019年 42万(元) 邓柯
国家自然科学基金 面上项目 2018年–2021年 48万(元) 邓柯
深圳光启高等理工研究院 合作研究 2018年–2020年 96万(元) 邓柯
科技部 国家重点研发计划子课题 2017年–2020年 43万(元) 邓柯、刘汉中
国家食品药品监督管理总局 食品安全评价性抽检 2017年-2018年 20万（元） 邓柯
国家食品安全风险评估中心 食品安全风险评估模型和信息化顶层设计 2017年 43万（元） 邓柯
国家质量监督与检验检疫总局 监督抽检计划国家地区的抽样覆盖率研究 2017年 9.9万（元） 邓柯
Analysis Group Inc 医疗大数据 2016年-2019年 120万（元） 邓柯
清华大学自主科研 医疗大数据 2016年-2018年 60万（元） 邓柯

专利成果

获得统计学、人工智能相关专利13项

学术任职

  • International Statistical Institute，Elected Member
  • 中国现场统计研究会统计教育与管理分会，副理事长
  • 北京智源人工智能研究院，研究员

学术奖励

  • 2022年高校科学研究优秀成果奖自然科学奖一等奖
  • ICCM 2020 Best Paper Award
  • 2020中国数字人文大会优秀论文奖
  • 2019年北京智源人工智能研究院“智源研究员”
  • 科学中国人2016年度人物
  • 2008年“钟家庆优秀论文奖”