Huiting Liu

Orcid: 0000-0002-5521-0764

Affiliations:

Anhui University, School of Computer Science and Technology, Hefei, China
Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China
University of Vermont, Burlington, VT, USA (2014-2015)
Hefei University of Technology, Hefei, China (PhD 2008)

According to our database¹, Huiting Liu authored at least 35 papers between 2006 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, August, 2025

Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2025

Unbiased Meta Reinforcement Learning for Interactive Recommender Systems.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

A multi-agent reinforcement learning framework for cross-domain sequential recommendation.

[BibT_eX]

[DOI]

Neural Networks, 2025

Robust label propagation based on prior-guided cross domain data augmentation for few-shot unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

2024

DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2024

Multi-scale task-aware structure graph modeling for few-shot image recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Few-shot learning based on prototype rectification with a self-attention mechanism.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Feature relocation network for fine-grained image classification.

[BibT_eX]

[DOI]

Neural Networks, April, 2023

Enhancing review-based user representation on learned social graph for recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2023

REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

2022

Partial multi-label learning based on sparse asymmetric label correlations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A deep selective learning network for cross-domain recommendation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

2021

Robust transfer learning based on Geometric Mean Metric Learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Zero-shot Learning via the fusion of generation and embedding for image recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multi-label text classification via joint learning from label embedding and label correlation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Shared-view and specific-view information extraction for recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

2020

Collaborative deep recommendation with global and local item correlations.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A Transductive Transfer Learning Approach Based on Manifold Learning.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2020

2019

Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Transfer robust sparse coding based on graph and joint distribution adaption for image representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

实时个性化微博推荐系统 (Real-time Personalized Micro-blog Recommendation System).

[BibT_eX]

[DOI]

计算机科学, 2018

Mining frequent itemsets over uncertain data streams.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Netw., 2018

Supervised Convolutional Matrix Factorization for Document Recommendation.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2018

Collaborative social deep learning for celebrity recommendation.

[BibT_eX]

[DOI]

Intell. Data Anal., 2018

Efficient pattern matching with periodical wildcards in uncertain sequences.

[BibT_eX]

[DOI]

Intell. Data Anal., 2018

2016

基于近邻传播的文本数据流聚类算法研究 (Research of Text Data Streams Clustering Algorithm Based on Affinity Propagation).

[BibT_eX]

[DOI]

计算机科学, 2016

2015

无线多跳网络上基于网络编码的多源多播算法 (Algorithm for Multisource Multicast with Network Coding over Multi-hop Wireless Networks).

[BibT_eX]

[DOI]

Li Han

Huanyan Qian

Huiting Liu

计算机科学, 2015

2012

Design, simulation, fabrication and characterization of a micro electromagnetic vibration energy harvester with sandwiched structure and air channel.

[BibT_eX]

[DOI]

Microelectron. J., 2012

2007

Extracting Trend of Time Series Based on Improved Empirical Mode Decomposition Method.

[BibT_eX]

[DOI]

Huiting Liu

Zhiwei Ni

Jianyang Li

Proceedings of the Advances in Data and Web Management, 2007

2006

Time Series Similar Pattern Matching Based on Empirical Mode Decomposition.

[BibT_eX]

[DOI]

Huiting Liu

Zhiwei Ni

Jianyang Li

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Huiting Liu

Timeline

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