Yaqing Wang

Orcid: 0000-0003-1457-1114

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong, SAR, China
  • Baidu Research, Baidu Inc., Beijing, China
  • Beijing Institute of Mathematical Sciences and Applications, Beijing, China


According to our database1, Yaqing Wang authored at least 34 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PreGesNet: Few-Shot Acoustic Gesture Recognition Based on Task-Adaptive Pretrained Networks.
IEEE Trans. Mob. Comput., December, 2024

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

A Novel Tensor Learning Model for Joint Relational Triplet Extraction.
IEEE Trans. Cybern., April, 2024

ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning.
CoRR, 2024

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

Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn., June, 2023

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput., 2023

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning.
CoRR, 2023

Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction.
CoRR, 2023

ColdNAS: Search to Modulate for User Cold-Start Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Exploring the common principal subspace of deep features in neural networks.
Mach. Learn., 2022

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization.
J. Mach. Learn. Res., 2022

Recognizing Medical Search Query Intent by Few-shot Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Simplified Graph Learning for Inductive Short Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Generalizing from a Few Examples: A Survey on Few-shot Learning.
ACM Comput. Surv., 2021

Property-aware Adaptive Relation Networks for Molecular Property Prediction.
CoRR, 2021

A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Generalized Convolutional Sparse Coding With Unknown Noise.
IEEE Trans. Image Process., 2020

Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization.
CoRR, 2020

2019
Few-shot Learning: A Survey.
CoRR, 2019

General Convolutional Sparse Coding with Unknown Noise.
CoRR, 2019

2018
Scalable Online Convolutional Sparse Coding.
IEEE Trans. Image Process., 2018

Online Convolutional Sparse Coding with Sample-Dependent Dictionary.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Online Convolutional Sparse Coding.
CoRR, 2017

Zero-shot learning with a partial set of observed attributes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2013
An Estimation of Distribution Algorithm for Steiner Tree Problem.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

An Energy-Aware Ant Colony Optimization Routing Algorithm in the Private Network.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013


  Loading...