Prof. WANG Junhui (王軍輝)
Research Output
- 2024
- Published
A Regularized High-Dimensional Positive Definite Covariance Estimator with High-Frequency Data
Cui, L., Hong, Y., Li, Y. & Wang, J., Oct 2024, In: Management Science. 70, 10, p. 7242–7264 23 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Published
NONNEGATIVE TENSOR COMPLETION FOR DYNAMIC COUNTERFACTUAL PREDICTION ON COVID-19 PANDEMIC
ZHEN, Y. & WANG, J., Mar 2024, In: The Annals of Applied Statistics. 18, 1, p. 224-245Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - Published
Change point detection in dynamic network via regularized tensor decomposition
Zhang, Y., Zhang, J., Sun, Y. & Wang, J., 2024, In: Journal of Computational and Graphical Statistics. 33, 2, p. 515-524 10 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - 2023
- Published
Covariate-assisted community detection in multi-layer networks
Xu, S., Zhen, Y. & Wang, J., 2023, In: Journal of Business & Economic Statistics . 41, 3, p. 915–926 12 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 12 - 2022
- Published
Directed Community Detection With Network Embedding
Zhang, J., He, X. & Wang, J., Dec 2022, In: Journal of the American Statistical Association. 117, 540, p. 1809-1819Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 25 - Published
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
Zhou, W., He, X., Zhong, W. & Wang, J., Dec 2022, In: Journal of Computational and Graphical Statistics. 31, 4, p. 1269–1279 11 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
Identifiability and parameter estimation of the overlapped stochastic co-block model
Zhang, J. & Wang, J., Aug 2022, In: Statistics and Computing. 32, 4, 57.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2 - Published
Embedding Learning
Dai, B., Shen, X. & Wang, J., Mar 2022, In: Journal of the American Statistical Association. 117, 537, p. 307-319Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10 - Online published
Community Detection in General Hypergraph via Graph Embedding
Zhen, Y. & Wang, J., 13 Jan 2022, (Online published) In: Journal of the American Statistical Association. 10 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 11 - Published
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
Zhao, R., He, X. & Wang, J., 2022, In: Journal of Machine Learning Research. 23, 269.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - 2021
- Published
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
Lv, S., Wang, J., Liu, J. & Liu, Y., Dec 2021, Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Vaughan, J. W. (eds.). Neural Information Processing Systems Foundation, Inc., Vol. 26. p. 21467-21479 (Advances in Neural Information Processing Systems).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 6 - Published
EFFICIENT KERNEL-BASED VARIABLE SELECTION WITH SPARSISTENCY
He, X., Wang, J. & Lv, S., Oct 2021, In: Statistica Sinica. 31, 4, p. 2123-2151Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- Published
A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data
Zhou, Y., Yang, B., Wang, J., Zhu, J. & Tian, G., 2021, In: BMC Genomics. 22, 479.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
Learning sparse conditional distribution: An efficient kernel-based approach
Chen, F., He, X. & Wang, J., 2021, In: Electronic Journal of Statistics. 15, 1, p. 1610-1635Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
Scalable Collaborative Ranking for Personalized Prediction
Dai, B., Shen, X., Wang, J. & Qu, A., 2021, In: Journal of the American Statistical Association. 116, 535, p. 1215-1223Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - Published
Sentiment analysis with covariate-assisted word embeddings
Xu, S., Dai, B. & Wang, J., 2021, In: Electronic Journal of Statistics. 15, 1, p. 3015-3039Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2 - 2020
- Published
VARIABLE SELECTION FOR CLASSIFICATION WITH DERIVATIVE-INDUCED REGULARIZATION
He, X., Lv, S. & Wang, J., Oct 2020, In: Statistica Sinica. 30, 4, p. 2075-2103Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3 - Published
Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space
Yao, W., Lee, W. & Wang, J., Sept 2020, Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenić, D. & Saunders, C. (eds.). Springer Nature, p. 546-561 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12460).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Discovering model structure for partially linear models
He, X. & Wang, J., Feb 2020, In: Annals of the Institute of Statistical Mathematics. 72, 1, p. 45-63Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4 - 2019
- Published
ENTROPY LEARNING FOR DYNAMIC TREATMENT REGIMES
Jiang, B., Song, R., Li, J., Zeng, D., Lu, W., He, X. & Xu, S. & 10 others, , Oct 2019, In: Statistica Sinica. 29, 4, p. 1633-1710Research output: Journal Publications and Reviews › Comment/debate
