Xinwang Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Coherence mode: Characterizing local graph structural information for temporal knowledge graph.
Inf. Sci., 2025

2024
Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images.
Remote. Sens., August, 2024

Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion.
Inf. Fusion, 2024

DEA cross-efficiency models with prospect theory and distance entropy: An empirical study on high-tech industries.
Expert Syst. Appl., 2024

AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models.
CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR, 2024

Online Differentiable Clustering for Intent Learning in Recommendation.
CoRR, 2024

2023
Local nonlinear dimensionality reduction via preserving the geometric structure of data.
Pattern Recognit., November, 2023

Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz.
CoRR, 2023

Medical Federated Model with Mixture of Personalized and Sharing Components.
CoRR, 2023

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Analytical Reduction Method for New Type-2 Fuzzy Chance-Constrained Portfolio Selection Model.
Int. J. Comput. Intell. Syst., 2021

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2021

Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Accelerating SGD using flexible variance reduction on large-scale datasets.
Neural Comput. Appl., 2020

Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible.
CoRR, 2020

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning.
CoRR, 2020

Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Embedded Complementary and Interactive Information for Multi-View Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Outlier Detection Ensemble with Embedded Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017
A subspace ensemble framework for classification with high dimensional missing data.
Multidimens. Syst. Signal Process., 2017

Fast Compressive Spectral Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2011
A Convergent Solution to Matrix Bidirectional Projection Based Feature Extraction with Application to Face Recognition.
Int. J. Comput. Intell. Syst., 2011

2010
Efficient Relational Learning with Hidden Variable Detection.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010


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