Guosheng Yin

According to our database, Guosheng Yin authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling.

Jiujun He, Bin Liu, Guosheng Yin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Triangular Concordance Learning of Networks.

Jiaqi Gu, Guosheng Yin

J. Comput. Graph. Stat., April, 2023

Model aggregation for doubly divided data with large size and large dimension.

Baihua He, Yanyan Liu, Guosheng Yin, Yuanshan Wu

Comput. Stat., March, 2023

Graphmax for Text Generation.

Bin Liu, Guosheng Yin

J. Artif. Intell. Res., 2023

Source-Aware Embedding Training on Heterogeneous Information Networks.

Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin

Data Intell., 2023

Reinforcement Learning in Healthcare: A Survey.

Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin

ACM Comput. Surv., 2023

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations.

Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D-Polishing for Triangular Mesh Compression of Point Cloud Data.

Jiaqi Gu, Guosheng Yin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks.

Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning.

Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences.

Huaqing Jin, Guosheng Yin, Binhang Yuan, Fei Jiang

Technometrics, 2022

The GR2D2 estimator for the precision matrices.

Dailin Gan, Guosheng Yin, Yan Dora Zhang

Briefings Bioinform., 2022

SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings.

Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Asymmetric Self-Supervised Graph Neural Networks.

Zhuo Tan, Bin Liu, Guosheng Yin

Proceedings of the IEEE International Conference on Big Data, 2022

Deep Reinforcement Learning for Bandit Arm Localization.

Wenbin Du, Huaqing Jin, Chao Yu, Guosheng Yin

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Asymmetric Graph Representation Learning.

Zhuo Tan, Bin Liu, Guosheng Yin

CoRR, 2021

A Graph Total Variation Regularized Softmax for Text Generation.

Liu Bin, Wang Liang, Guosheng Yin

CoRR, 2021

Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning.

Chen Liu, Jinze Cui, Dailin Gan, Guosheng Yin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Crystallization Learning with the Delaunay Triangulation.

Jiaqi Gu, Guosheng Yin

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Adaptive iterative Hessian sketch via A-optimal subsampling.

Aijun Zhang, Hengtao Zhang, Guosheng Yin

Stat. Comput., 2020

Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging.

Baihua He, Yanyan Liu, Yuanshan Wu, Guosheng Yin, Xingqiu Zhao

J. Mach. Learn. Res., 2020

The Delaunay triangulation learner and its ensembles.

Yehong Liu, Guosheng Yin

Comput. Stat. Data Anal., 2020

Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision.

Chen Liu, Jiaqi Fan, Guosheng Yin

CoRR, 2020

Chinese Document Classification with Bi-directional Convolutional Language Model.

Bin Liu, Guosheng Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks.

Dan Ma, Bin Liu, Xiyu Qiao, Danni Cao, Guosheng Yin

Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

Learning distributed sentence vectors with bi-directional 3D convolutions.

Bin Liu, Liang Wang, Guosheng Yin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions.

Fei Jiang, Guosheng Yin, Francesca Dominici

ACM Trans. Knowl. Discov. Data, 2019

Text classification with pixel embedding.

Bin Liu, Guosheng Yin, Wenbin Du

CoRR, 2019

Nonparametric Functional Approximation with Delaunay Triangulation.

Yehong Liu, Guosheng Yin

CoRR, 2019

Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models.

Chenyang Zhang, Guosheng Yin

Proceedings of the 36th International Conference on Machine Learning, 2019

Fast Algorithm for Generalized Multinomial Models with Ranking Data.

Jiaqi Gu, Guosheng Yin

Proceedings of the 36th International Conference on Machine Learning, 2019

Nonparametric Functional Approximation with Delaunay Triangulation Learner.

Yehong Liu, Guosheng Yin

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm.

Fanghu Dong, Guosheng Yin

Stat. Comput., 2018

Bayesian Outdoor Defect Detection.

Fei Jiang, Guosheng Yin

CoRR, 2018

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors.

Fei Jiang, Guosheng Yin, Francesca Dominici

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Power computation for hypothesis testing with high-dimensional covariance matrices.

Ruitao Lin, Zhongying Liu, Shurong Zheng, Guosheng Yin

Comput. Stat. Data Anal., 2016