Guosheng Yin - RankMe

67 papers A* 13A 2B 3Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model. CoRR Maomao Li, Zhen Li, Kaipeng Zhang, Guosheng Yin, Zhifeng Li, Dong Xu
2026	J	`jnl`	SIB-MIL: Sparsity-Induced Bayesian Neural Network for Robust Multiple Instance Learning on Whole Slide Image Analysis. IEEE Trans. Medical Imaging Yihang Chen, Tsai Hor Chan, Jianning Chen, Li Liang, Guosheng Yin, Lequan Yu
2025	J	`jnl`	Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process. CoRR Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu
2025	—	`conf`	Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning. KDD (1) Bin Liu, Yu Liu, Zhiqian Li, Jianghong Xiao, Guosheng Yin, Huazhen Lin
2025	J	`jnl`	Causal Effect of Functional Treatment. J. Mach. Learn. Res. Ruoxu Tan, Wei Huang, Zheng Zhang, Guosheng Yin
2025	J	`jnl`	Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images. CoRR Yuedi Zhang, Zhixiang Xia, Guosheng Yin, Bin Liu
2025	A*	`conf`	Cross-Modal Alignment via Variational Copula Modelling. ICML Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu
2025	J	`jnl`	Cross-Modal Alignment via Variational Copula Modelling. CoRR Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu
2025	J	`jnl`	Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs. CoRR Yushi Feng, Tsai Hor Chan, Guosheng Yin, Lequan Yu
2025	J	`jnl`	Democratizing large language model-based graph data augmentation via latent knowledge graphs. Neural Networks Yushi Feng, Tsai Hor Chan, Guosheng Yin, Lequan Yu
2025	A	`conf`	Effective Sample Size Estimation Based on the Concordance Between p-Value and Posterior Probability of the Null Hypothesis. ECAI Han Wang, Yan Dora Zhang, Guosheng Yin
2025	A	`conf`	Ensemble Manifold Learning via Model Averaging. ECAI Ruoxu Tan, Guosheng Yin
2025	J	`jnl`	Feature Preserving Shrinkage on Bayesian Neural Networks Via the R2D2 Prior. IEEE Trans. Pattern Anal. Mach. Intell. Tsai Hor Chan, Dora Yan Zhang, Guosheng Yin, Lequan Yu
2025	J	`jnl`	Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior. CoRR Tsai Hor Chan, Dora Yan Zhang, Guosheng Yin, Lequan Yu
2025	J	`jnl`	Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs. IEEE Trans. Knowl. Data Eng. Min Hu, Zhizhong Tan, Bin Liu, Guosheng Yin
2025	J	`jnl`	Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation. J. Mach. Learn. Res. Jiaqi Gu, Guosheng Yin
2025	A*	`conf`	MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation. CVPR Yukang Lin, Hokit Fung, Jianjin Xu, Zeping Ren, Adela S. M. Lau, Guosheng Yin, Xiu Li
2025	J	`jnl`	MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation. CoRR Yukang Lin, Hokit Fung, Jianjin Xu, Zeping Ren, Adela S. M. Lau, Guosheng Yin, Xiu Li
2025	J	`jnl`	Novel Load-Free SSB Modulation for LoRa Backscatter Communication. IEEE Wirel. Commun. Lett. Jianing Li, Guosheng Yin, Jialong Wang, Man Feng, Hao Chen, Wei Xu, Weibing Lu
2025	J	`jnl`	Variational Polya Tree. CoRR Lu Xu, Tsai Hor Chan, Kwok Fai Lam, Lequan Yu, Guosheng Yin
2024	J	`jnl`	Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph. CoRR Lu Wei, Yi Huang, Guosheng Yin, Fode Zhang, Manxue Zhang, Bin Liu
2024	A*	`conf`	Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling. AAAI Jiujun He, Bin Liu, Guosheng Yin
2024	A*	`conf`	Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network. ICDM Zhizhong Tan, Min Hu, Bin Liu, Guosheng Yin
2024	—	`conf`	GAM-GCN: Decomposing Graph Convolutional Networks via Generalized Additive Models. ICKG Chen Liu, Lequan Yu, Kai Han, Guosheng Yin
2024	J	`jnl`	Multi-task Heterogeneous Graph Learning on Electronic Health Records. CoRR Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu
2024	J	`jnl`	Multi-task heterogeneous graph learning on electronic health records. Neural Networks Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu
2024	—	`conf`	cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. ECCV (54) Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu
2024	J	`jnl`	cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. CoRR Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu
2023	A*	`conf`	3D-Polishing for Triangular Mesh Compression of Point Cloud Data. KDD Jiaqi Gu, Guosheng Yin
2023	A*	`conf`	Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. NeurIPS Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu
2023	J	`jnl`	Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. CoRR Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu
2023	J	`jnl`	Graphmax for Text Generation. J. Artif. Intell. Res. Bin Liu, Guosheng Yin
2023	A*	`conf`	Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. CVPR Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu
2023	J	`jnl`	Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. CoRR Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu
2023	A*	`conf`	Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks. IJCAI Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin
2023	J	`jnl`	Model aggregation for doubly divided data with large size and large dimension. Comput. Stat. Baihua He, Yanyan Liu, Guosheng Yin, Yuanshan Wu
2023	J	`jnl`	Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin
2023	J	`jnl`	Source-Aware Embedding Training on Heterogeneous Information Networks. CoRR Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin
2023	J	`jnl`	Source-Aware Embedding Training on Heterogeneous Information Networks. Data Intell. Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin
2023	J	`jnl`	Triangular Concordance Learning of Networks. J. Comput. Graph. Stat. Jiaqi Gu, Guosheng Yin
2022	B	`conf`	Asymmetric Self-Supervised Graph Neural Networks. IEEE Big Data Zhuo Tan, Bin Liu, Guosheng Yin
2022	J	`jnl`	Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. Technometrics Huaqing Jin, Guosheng Yin, Binhang Yuan, Fei Jiang
2022	B	`conf`	Deep Reinforcement Learning for Bandit Arm Localization. IEEE Big Data Wenbin Du, Huaqing Jin, Chao Yu, Guosheng Yin
2022	—	`conf`	SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings. ICKG Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, Guosheng Yin
2022	J	`jnl`	The GR2D2 estimator for the precision matrices. Briefings Bioinform. Dailin Gan, Guosheng Yin, Yan Dora Zhang
2021	J	`jnl`	A Graph Total Variation Regularized Softmax for Text Generation. CoRR Bin Liu, Guosheng Yin
2021	J	`jnl`	Asymmetric Graph Representation Learning. CoRR Zhuo Tan, Bin Liu, Guosheng Yin
2021	—	`conf`	Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning. MICCAI (7) Chen Liu, Jinze Cui, Dailin Gan, Guosheng Yin
2021	A*	`conf`	Crystallization Learning with the Delaunay Triangulation. ICML Jiaqi Gu, Guosheng Yin
2020	J	`jnl`	Adaptive iterative Hessian sketch via A-optimal subsampling. Stat. Comput. Aijun Zhang, Hengtao Zhang, Guosheng Yin
2020	A*	`conf`	Chinese Document Classification with Bi-directional Convolutional Language Model. SIGIR Bin Liu, Guosheng Yin
2020	—	`conf`	Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks. HPCCT/BDAI Dan Ma, Bin Liu, Xiyu Qiao, Danni Cao, Guosheng Yin
2020	J	`jnl`	Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision. CoRR Chen Liu, Jiaqi Fan, Guosheng Yin
2020	J	`jnl`	Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging. J. Mach. Learn. Res. Baihua He, Yanyan Liu, Yuanshan Wu, Guosheng Yin, Xingqiu Zhao
2020	B	`conf`	Learning distributed sentence vectors with bi-directional 3D convolutions. COLING Bin Liu, Liang Wang, Guosheng Yin
2020	J	`jnl`	The Delaunay triangulation learner and its ensembles. Comput. Stat. Data Anal. Yehong Liu, Guosheng Yin
2019	J	`jnl`	Adaptive Iterative Hessian Sketch via A-Optimal Subsampling. CoRR Aijun Zhang, Hengtao Zhang, Guosheng Yin
2019	J	`jnl`	Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions. ACM Trans. Knowl. Discov. Data Fei Jiang, Guosheng Yin, Francesca Dominici
2019	A*	`conf`	Fast Algorithm for Generalized Multinomial Models with Ranking Data. ICML Jiaqi Gu, Guosheng Yin
2019	A*	`conf`	Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models. ICML Chenyang Zhang, Guosheng Yin
2019	—	`conf`	Nonparametric Functional Approximation with Delaunay Triangulation Learner. ICBK Yehong Liu, Guosheng Yin
2019	J	`jnl`	Nonparametric Functional Approximation with Delaunay Triangulation. CoRR Yehong Liu, Guosheng Yin
2019	J	`jnl`	Text classification with pixel embedding. CoRR Bin Liu, Guosheng Yin, Wenbin Du
2018	A*	`conf`	Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors. NeurIPS Fei Jiang, Guosheng Yin, Francesca Dominici
2018	J	`jnl`	Bayesian Outdoor Defect Detection. CoRR Fei Jiang, Guosheng Yin
2018	J	`jnl`	Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm. Stat. Comput. Fanghu Dong, Guosheng Yin
2016	J	`jnl`	Power computation for hypothesis testing with high-dimensional covariance matrices. Comput. Stat. Data Anal. Ruitao Lin, Zhongying Liu, Shurong Zheng, Guosheng Yin