Xinwang Liu

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

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Bibliography

2024
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification.
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

WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement.
Pattern Recognit., November, 2023

Single-Cell Clustering via Dual-Graph Alignment.
CoRR, 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

Decoupled Diffusion Models with Explicit Transition Probability.
CoRR, 2023

G<sup>2</sup>uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering.
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
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.
Knowl. Based Syst., 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

DisARM: Displacement Aware Relation Module for 3D Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Deep Learning for Generic Object Detection: A Survey.
Int. J. Comput. Vis., 2020

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

A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification.
CoRR, 2020

Structured Graph Learning for Clustering and Semi-supervised Classification.
CoRR, 2020

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

Differentially Private ERM Based on Data Perturbation.
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

2019
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning.
KSII Trans. Internet Inf. Syst., 2018

Latent Semantic Aware Multi-View Multi-Label Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reliable Multi-View Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing.
CoRR, 2017

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

2015
A Computational Model of the Short-Cut Rule for 2D Shape Decomposition.
IEEE Trans. Image Process., 2015

2014
Multiple Kernel Learning Based Multi-view Spectral Clustering.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

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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