科研成果

1. 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. Online published on Food Chemistry.
2. 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. Online published on European Journal of Cardio-Thoracic Surgery.
3. Yang Yang and Ke Deng* (2022) Generalized Theme Dictionary Models for Association Pattern Discovery. Accepted by The Annals of Applied Statistics.
4. Wanchuang Zhu, Yingkai Jiang, Jun S. Liu and Ke Deng* (2022) Partition-Mallows Model and Its Inference for Rank Aggregation. Online published in Journal of the American Statistical Association.
5. Yichao Li^#, Wenshuo Wang^#, Ke Deng*, Jun S. Liu* (2022) Stratification and Optimal Resampling for Sequential Monte Carlo. Biometrika, 109 (1), 181–194.
6. 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. Accepted by International Journal of Environmental Research and Public Health.
7. 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.
8. 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
9. 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
10. Wanchuang Zhu, Yingkai Jiang, Jun S. Liu and Ke Deng* (2021) Partition-Mallows Model and Its Inference for Rank Aggregation. Online published by Journal of the American Statistical Association.
11. 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. Accepted by International Journal of Environmental Research and Public Health.
12. Changzai Pan, Hongsu Wang, Ke Deng* (2021) Exploration and Statistical Modeling on Inheritance Probability of the Biographical Addresses of Historical Figures from 7th to 19th Centuries. Accepted by Digital Humanities and East Asian Studies.
13. 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.
14. 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)
15. Yichao Li^#, Wenshuo Wang^#, Ke Deng*, Jun S. Liu* (2021) Stratification and Optimal Resampling for Sequential Monte Carlo. Online published by Biometrika.
16. 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)
17. 朱珂，姜瑛恺，王祥，史志呈，杨超，刘汉中*，邓柯*（2021）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》已接受.
18. 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》已接受（2021中国数字人文年会“最佳论文奖”二等奖）（共同通讯）
19. 李艺超，徐崇元，方海萍，高梦昭，牛晓月，宋志刚，李建军，邓柯* (2021) 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》已接受.
20. 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》已接受.
21. 徐崇元，陈孟裕，金锋，丛林晔，焦阳，邓柯* (2021) 进口食品社会关注度专家评分一致性的统计学研究, 《数理统计与管理》已接受.
22. 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)
23. Ruiyun Li, Bin Chen, Tao Zhang, Zhehao Ren, Yimeng Song, Yixiong Xiao, Lin Hou, Jun Cai, Bo Xu, Karen Kie Yan Chan, Ying Tu, Mu Yang, Jing Yang, Zhaoyang Liu, Chong Shen, Che Wang, Lei Xu, Qiyong Liu, Shuming Bao, Jianqin Zhang, Yuhai Bi, Yuqi Bai, Ke Deng, Wusheng Zhang, Wenyu Huang, Jason D Whittington, Nils Chr. Stenseth, Dabo Guan, Peng Gong, Bing Xu (2020) Suppression of future waves of COVID-19: Global pandemic demands joint interventions. Online published by Proceedings of the National Academy of Sciences of USA(pnas.org/cgi/doi/10.1073/pnas.2012002117)
24. 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. Online published by Briefings in Bioinformatics. (Co-corresponding author)
25. 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.
26. 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.
27. 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.
28. 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.
29. 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页.
30. 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. To appear in China Media Research.
31. 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. To appear in IEEE/ACM Transactions on Computational Biology and Bioinformatics.
32. 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.
33. 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.
34. 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.
35. Zang C, Wang T., Deng K., et al (2016) High-Dimensional Genomic Data Bias Correction and Data Integration Using MANCIE. Online published in Nature Communications. DOI: 10.1038/ncomms11305.
36. 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.
37. 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.
38. 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.
39. 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)
40. 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.
41. 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.
42. Zhu W., Deng K. (2013) Scalable Delay Tomography, International Journal of Digital Content Technology and its Applications, 7(8), 58-67.
43. 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.
44. 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.
45. 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)
46. 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

专利名称：基于统计词典模型的未登录词发现和分词系统及方法
功能：可在没有训练语料库和词库未知的条件下通过无指导文本分析实现中文词汇识别和分词
发明人：邓柯、刘军
专利号：201410299453.9
授权公告日期：2017年6月9日

• 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”