Power computation for hypothesis testing with high-dimensional covariance matrices. - Ruitao Lin; Zhongying Liu; Shurong Zheng; Guosheng Yin (Comput. Stat. Data Anal., 2016)

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors. - Fei Jiang; Guosheng Yin; Francesca Dominici (NeurIPS, 2018)

Bayesian Outdoor Defect Detection. - Fei Jiang; Guosheng Yin (CoRR, 2018)

Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm. - Fanghu Dong; Guosheng Yin (Stat. Comput., 2018)

Nonparametric Functional Approximation with Delaunay Triangulation Learner. - Yehong Liu; Guosheng Yin (ICBK, 2019)

Fast Algorithm for Generalized Multinomial Models with Ranking Data. - Jiaqi Gu 005; Guosheng Yin (ICML, 2019)

Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models. - Chenyang Zhang; Guosheng Yin (ICML, 2019)

Nonparametric Functional Approximation with Delaunay Triangulation. - Yehong Liu; Guosheng Yin (CoRR, 2019)

Text classification with pixel embedding. - Bin Liu 022; Guosheng Yin; Wenbin Du (CoRR, 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)

Learning distributed sentence vectors with bi-directional 3D convolutions. - Bin Liu 022; Liang Wang; Guosheng Yin (COLING, 2020)

Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks. - Dan Ma 005; Bin Liu 022; Xiyu Qiao; Danni Cao; Guosheng Yin (HPCCT/BDAI, 2020)

Chinese Document Classification with Bi-directional Convolutional Language Model. - Bin Liu 022; Guosheng Yin (SIGIR, 2020)

Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision. - Chen Liu; Jiaqi Fan; Guosheng Yin (CoRR, 2020)

The Delaunay triangulation learner and its ensembles. - Yehong Liu; Guosheng Yin (Comput. Stat. Data Anal., 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)

Adaptive iterative Hessian sketch via A-optimal subsampling. - Aijun Zhang; Hengtao Zhang; Guosheng Yin (Stat. Comput., 2020)

Crystallization Learning with the Delaunay Triangulation. - Jiaqi Gu 005; Guosheng Yin (ICML, 2021)

Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning. - Chen Liu; Jinze Cui; Dailin Gan; Guosheng Yin (MICCAI (7), 2021)

A Graph Total Variation Regularized Softmax for Text Generation. - Bin Liu; Guosheng Yin (CoRR, 2021)

Asymmetric Graph Representation Learning. - Zhuo Tan; Bin Liu 022; Guosheng Yin (CoRR, 2021)

Deep Reinforcement Learning for Bandit Arm Localization. - Wenbin Du; Huaqing Jin; Chao Yu; Guosheng Yin (IEEE Big Data, 2022)

Asymmetric Self-Supervised Graph Neural Networks. - Zhuo Tan; Bin Liu 022; Guosheng Yin (IEEE Big Data, 2022)

SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings. - Tsai Hor Chan; Chi Ho Wong; Jiajun Shen; Guosheng Yin (ICKG, 2022)

The GR2D2 estimator for the precision matrices. - Dailin Gan; Guosheng Yin; Yan Dora Zhang (Briefings Bioinform., 2022)

Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. - Huaqing Jin; Guosheng Yin; Binhang Yuan; Fei Jiang (Technometrics, 2022)

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. - Tsai Hor Chan; Fernando Julio Cendra; Lan Ma; Guosheng Yin; Lequan Yu (CVPR, 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 (IJCAI, 2023)

3D-Polishing for Triangular Mesh Compression of Point Cloud Data. - Jiaqi Gu 005; Guosheng Yin (KDD, 2023)

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. - Tsai Hor Chan; Kin Wai Lau; Jiajun Shen; Guosheng Yin; Lequan Yu (NeurIPS, 2023)

Reinforcement Learning in Healthcare: A Survey. - Chao Yu 004; Jiming Liu 001; Shamim Nemati; Guosheng Yin (ACM Comput. Surv., 2023)

Source-Aware Embedding Training on Heterogeneous Information Networks. - Tsai Hor Chan; Chi Ho Wong; Jiajun Shen; Guosheng Yin (Data Intell., 2023)

Graphmax for Text Generation. - Bin Liu; Guosheng Yin (J. Artif. Intell. Res., 2023)

Model aggregation for doubly divided data with large size and large dimension. - Baihua He; Yanyan Liu; Guosheng Yin; Yuanshan Wu (Comput. Stat., 2023)

Triangular Concordance Learning of Networks. - Jiaqi Gu 005; Guosheng Yin (J. Comput. Graph. Stat., 2023)

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling. - Jiujun He; Bin Liu; Guosheng Yin (AAAI, 2024)

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. - Yihang Chen 001; Tsai Hor Chan; Guosheng Yin; Yuming Jiang 005; Lequan Yu (ECCV (54), 2024)

GAM-GCN: Decomposing Graph Convolutional Networks via Generalized Additive Models. - Chen Liu; Lequan Yu; Kai Han; Guosheng Yin (ICKG, 2024)

Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network. - Zhizhong Tan; Min Hu; Bin Liu 022; Guosheng Yin (ICDM, 2024)

Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph. - Lu Wei; Yi Huang; Guosheng Yin; Fode Zhang; Manxue Zhang; Bin Liu (CoRR, 2024)

Multi-task heterogeneous graph learning on electronic health records. - Tsai Hor Chan; Guosheng Yin; Kyongtae Bae; Lequan Yu (Neural Networks, 2024)

MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation. - Yukang Lin; Hokit Fung; Jianjin Xu; Zeping Ren; Adela S. M. Lau; Guosheng Yin; Xiu Li 001 (CVPR, 2025)

Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning. - Bin Liu 022; Yu Liu; Zhiqian Li; Jianghong Xiao; Guosheng Yin; Huazhen Lin (KDD (1), 2025)

Democratizing large language model-based graph data augmentation via latent knowledge graphs. - Yushi Feng; Tsai Hor Chan; Guosheng Yin; Lequan Yu (Neural Networks, 2025)

Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs. - Min Hu; Zhizhong Tan; Bin Liu 022; Guosheng Yin (IEEE Trans. Knowl. Data Eng., 2025)

Feature Preserving Shrinkage on Bayesian Neural Networks Via the R2D2 Prior. - Tsai Hor Chan; Dora Yan Zhang; Guosheng Yin; Lequan Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)