Nan Yin

Orcid: 0000-0002-0177-8514

According to our database1, Nan Yin authored at least 48 papers between 2013 and 2024.

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Bibliography

2024
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations.
IEEE Trans. Artif. Intell., December, 2024

Continual Learning From a Stream of APIs.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

SPORT: A Subgraph Perspective on Graph Classification with Label Noise.
ACM Trans. Knowl. Discov. Data, November, 2024

On Expert-Machine Partnership to Predict Mortality of Congestive Heart Failure Patients.
Inf. Syst. Manag., October, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations.
Inf. Fusion, 2024

FTMLP: MLP with Feature-Temporal Block for multivariate time series forecasting.
Neurocomputing, 2024

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching.
Neurocomputing, 2024

The application of geometric form in architectural interior environment design.
Int. J. Inf. Commun. Technol., 2024

SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification.
CoRR, 2024

Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution.
CoRR, 2024

Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors.
CoRR, 2024

Graph Structure Learning with Bi-level Optimization.
CoRR, 2024

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation.
CoRR, 2024

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.
CoRR, 2024

DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation.
CoRR, 2024

Degree Distribution based Spiking Graph Networks for Domain Adaptation.
CoRR, 2024

A Survey of Stance Detection on Social Media: New Directions and Perspectives.
CoRR, 2024

Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs.
CoRR, 2024

Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.
CoRR, 2024

Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.
CoRR, 2024

Continuous Spiking Graph Neural Networks.
CoRR, 2024

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

Pre-insertion resistors temperature prediction based on improved WOA-SVR.
CoRR, 2024

TMODINET: A trustworthy multi-omics dynamic learning integration network for cancer diagnostic.
Comput. Biol. Chem., 2024

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Spiking Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
OMG: Towards Effective Graph Classification Against Label Noise.
IEEE Trans. Knowl. Data Eng., December, 2023

Multiobjective Optimization for Vehicle Routing Optimization Problem in Low-Carbon Intelligent Transportation.
IEEE Trans. Intell. Transp. Syst., November, 2023

Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting.
CoRR, 2023

A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning.
CoRR, 2023

Asymmetrically Decentralized Federated Learning.
CoRR, 2023

SA-GDA: Spectral Augmentation for Graph Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
Proceedings of the International Conference on Machine Learning, 2023

2022
Personalized Situation Adaptive Human-Vehicles-Interaction (HVI) Prediction in COVID-19 Context.
IEEE Trans. Intell. Transp. Syst., 2022

Generic Structure Extraction with Bi-Level Optimization for Graph Structure Learning.
Entropy, 2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dynamic Hypergraph Convolutional Network.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Oscillation analysis of solutions of non-zero continuous linear functional equations.
J. Comput. Methods Sci. Eng., 2021

A cluster-based oversampling algorithm combining SMOTE and k-means for imbalanced medical data.
Inf. Sci., 2021

A Focally Discriminative Loss for Unsupervised Domain Adaptation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Entity-Aware Biaffine Attention for Constituent Parsing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Open-Closed-Loop Iterative Learning Control With a Self-Adjustive Factor of the Gas Tungsten Arc Welding (GTAW) Process.
IEEE Access, 2020

2017
The Adaptive Discrete Cuckoo Search for Parallel Flow Shop Problem.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

The establishment of model parameters for soil moisture inversion.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2015
Simulation and Analysis of Backscattering Characteristics of Soil with Row Structure.
Proceedings of the Geo-Informatics in Resource Management and Sustainable Ecosystem, 2015

2013
Use of RADARSAT-2 data to retrieve soil moisture over bare soil agricultural fields.
Proceedings of the 21st International Conference on Geoinformatics, 2013


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