Yulan Hu

Orcid: 0009-0003-7598-8279

According to our database1, Yulan Hu authored at least 22 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models.
CoRR, 2024

GUNDAM: Aligning Large Language Models with Graph Understanding.
CoRR, 2024

TSO: Self-Training with Scaled Preference Optimization.
CoRR, 2024

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation.
CoRR, 2024

Towards Comprehensive Preference Data Collection for Reward Modeling.
CoRR, 2024

Exploring Task Unification in Graph Representation Learning via Generative Approach.
CoRR, 2024

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Realism in 3D Facial Animation Using Conformer-Based Generation and Automated Post-Processing.
Proceedings of the IEEE International Conference on Acoustics, 2024

GFMAE: Self-Supervised GNN-Free Masked Autoencoders.
Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.
Proceedings of the Database Systems for Advanced Applications, 2024

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
On The Maximum Cliques Of The Subgraphs Induced By Binary Constant Weight Codes In Powers Of Hypercubes.
Comput. J., October, 2023

VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification.
CoRR, 2023

Do We Really Need Contrastive Learning for Graph Representation?
CoRR, 2023

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning.
CoRR, 2023

2021
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application.
CoRR, 2021

Anomaly detection method of packet loss node location in heterogeneous hash networks.
Comput. Commun., 2021

Research on field personnel vibration recognition algorithm based on HHT-MFCC and LBG.
Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021

2019
An Efficient Anomaly Detection Framework for Electromagnetic Streaming Data.
Proceedings of the 4th International Conference on Big Data and Computing, 2019

2018
Some Approaches to the Calculation of Conservation Laws for a Telegraph System and Their Comparisons.
Symmetry, 2018

2009
The Research of Target Identification Based on Neural Network and D-S Evidence Theory.
Proceedings of the 2009 International Asia Conference on Informatics in Control, 2009

2007
Parallel Search Strategies for TSPs Using a Greedy Genetic Algorithm.
Proceedings of the Third International Conference on Natural Computation, 2007


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