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2020 – today
- 2024
[j14]Tsai Hor Chan
, Guosheng Yin, Kyongtae Bae, Lequan Yu:
Multi-task heterogeneous graph learning on electronic health records. Neural Networks 180: 106644 (2024)- [c18]Jiujun He, Bin Liu, Guosheng Yin:
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling. AAAI 2024: 12385-12393 - [c17]Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu:
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. ECCV (54) 2024: 232-250 - [i13]Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu:
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. CoRR abs/2407.11448 (2024) - [i12]Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu:
Multi-task Heterogeneous Graph Learning on Electronic Health Records. CoRR abs/2408.07569 (2024) - [i11]Lu Wei, Yi Huang, Guosheng Yin, Fode Zhang, Manxue Zhang, Bin Liu:
Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph. CoRR abs/2410.07138 (2024) - 2023
- [j13]Baihua He, Yanyan Liu, Guosheng Yin, Yuanshan Wu:
Model aggregation for doubly divided data with large size and large dimension. Comput. Stat. 38(1): 509-529 (2023) - [j12]Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin:
Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. 55(2): 5:1-5:36 (2023) - [j11]Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin:
Source-Aware Embedding Training on Heterogeneous Information Networks. Data Intell. 5(3): 611-635 (2023) - [j10]Bin Liu, Guosheng Yin:
Graphmax for Text Generation. J. Artif. Intell. Res. 78: 823-848 (2023) - [j9]Jiaqi Gu, Guosheng Yin:
Triangular Concordance Learning of Networks. J. Comput. Graph. Stat. 32(2): 434-447 (2023) - [c16]Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu:
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. CVPR 2023: 15661-15670 - [c15]Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin:
Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks. IJCAI 2023: 6076-6084 - [c14]Jiaqi Gu, Guosheng Yin:
3D-Polishing for Triangular Mesh Compression of Point Cloud Data. KDD 2023: 557-566 - [c13]Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu:
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. NeurIPS 2023 - [i10]Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu:
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. CoRR abs/2307.04189 (2023) - [i9]Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin:
Source-Aware Embedding Training on Heterogeneous Information Networks. CoRR abs/2307.04336 (2023) - [i8]Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu:
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. CoRR abs/2310.16587 (2023) - 2022
- [j8]Dailin Gan, Guosheng Yin, Yan Dora Zhang:
The GR2D2 estimator for the precision matrices. Briefings Bioinform. 23(6) (2022) - [j7]Huaqing Jin, Guosheng Yin, Binhang Yuan, Fei Jiang:
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. Technometrics 64(2): 177-186 (2022) - [c12]Zhuo Tan, Bin Liu, Guosheng Yin:
Asymmetric Self-Supervised Graph Neural Networks. IEEE Big Data 2022: 1369-1376 - [c11]Wenbin Du, Huaqing Jin, Chao Yu, Guosheng Yin:
Deep Reinforcement Learning for Bandit Arm Localization. IEEE Big Data 2022: 5243-5252 - [c10]Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin:
SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings. ICKG 2022: 32-39 - 2021
- [c9]Jiaqi Gu, Guosheng Yin:
Crystallization Learning with the Delaunay Triangulation. ICML 2021: 3854-3863 - [c8]Chen Liu, Jinze Cui, Dailin Gan, Guosheng Yin:
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning. MICCAI (7) 2021: 283-292 - [i7]Liu Bin, Wang Liang, Guosheng Yin:
A Graph Total Variation Regularized Softmax for Text Generation. CoRR abs/2101.00153 (2021) - [i6]Zhuo Tan, Bin Liu, Guosheng Yin:
Asymmetric Graph Representation Learning. CoRR abs/2110.07436 (2021) - 2020
- [j6]Yehong Liu, Guosheng Yin:
The Delaunay triangulation learner and its ensembles. Comput. Stat. Data Anal. 152: 107030 (2020) - [j5]Baihua He, Yanyan Liu, Yuanshan Wu, Guosheng Yin, Xingqiu Zhao:
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging. J. Mach. Learn. Res. 21: 207:1-207:37 (2020) - [j4]Aijun Zhang, Hengtao Zhang, Guosheng Yin:
Adaptive iterative Hessian sketch via A-optimal subsampling. Stat. Comput. 30(4): 1075-1090 (2020) - [c7]Bin Liu, Liang Wang, Guosheng Yin:
Learning distributed sentence vectors with bi-directional 3D convolutions. COLING 2020: 6820-6830 - [c6]Dan Ma, Bin Liu, Xiyu Qiao, Danni Cao, Guosheng Yin:
Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks. HPCCT/BDAI 2020: 192-198 - [c5]Bin Liu, Guosheng Yin:
Chinese Document Classification with Bi-directional Convolutional Language Model. SIGIR 2020: 1785-1788 - [i5]Chen Liu, Jiaqi Fan, Guosheng Yin:
Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision. CoRR abs/2007.05220 (2020)
2010 – 2019
- 2019
- [j3]Fei Jiang, Guosheng Yin, Francesca Dominici:
Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions. ACM Trans. Knowl. Discov. Data 13(5): 48:1-48:17 (2019) - [c4]Yehong Liu, Guosheng Yin:
Nonparametric Functional Approximation with Delaunay Triangulation Learner. ICBK 2019: 167-174 - [c3]Jiaqi Gu, Guosheng Yin:
Fast Algorithm for Generalized Multinomial Models with Ranking Data. ICML 2019: 2445-2453 - [c2]Chenyang Zhang, Guosheng Yin:
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models. ICML 2019: 7463-7471 - [i4]Aijun Zhang, Hengtao Zhang, Guosheng Yin:
Adaptive Iterative Hessian Sketch via A-Optimal Subsampling. CoRR abs/1902.07627 (2019) - [i3]Yehong Liu, Guosheng Yin:
Nonparametric Functional Approximation with Delaunay Triangulation. CoRR abs/1906.00350 (2019) - [i2]Bin Liu, Guosheng Yin, Wenbin Du:
Text classification with pixel embedding. CoRR abs/1911.04115 (2019) - 2018
- [j2]Fanghu Dong, Guosheng Yin:
Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm. Stat. Comput. 28(5): 1095-1117 (2018) - [c1]Fei Jiang, Guosheng Yin, Francesca Dominici:
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors. NeurIPS 2018: 1978-1987 - [i1]Fei Jiang, Guosheng Yin:
Bayesian Outdoor Defect Detection. CoRR abs/1809.01000 (2018) - 2016
- [j1]Ruitao Lin, Zhongying Liu, Shurong Zheng, Guosheng Yin:
Power computation for hypothesis testing with high-dimensional covariance matrices. Comput. Stat. Data Anal. 104: 10-23 (2016)
Coauthor Index
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