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, China
  • University of Vermont, Burlington, VT, USA (2014-2015)
  • Hefei University of Technology, China (PhD 2008)


According to our database1, Huiting Liu authored at least 25 papers between 2018 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation.
ACM Trans. Knowl. Discov. Data, August, 2025

Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention.
IEEE Trans. Big Data, April, 2025

Unbiased Meta Reinforcement Learning for Interactive Recommender Systems.
IEEE Trans. Multim., 2025

A multi-agent reinforcement learning framework for cross-domain sequential recommendation.
Neural Networks, 2025

2024
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2024

Few-shot learning based on prototype rectification with a self-attention mechanism.
Expert Syst. Appl., 2024

2023
Enhancing review-based user representation on learned social graph for recommendation.
Knowl. Based Syst., April, 2023

Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation.
Knowl. Based Syst., 2023

Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition.
Inf. Sci., 2023

REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation.
Expert Syst. Appl., 2023

2022
Partial multi-label learning based on sparse asymmetric label correlations.
Knowl. Based Syst., 2022

A deep selective learning network for cross-domain recommendation.
Appl. Soft Comput., 2022

2021
Robust transfer learning based on Geometric Mean Metric Learning.
Knowl. Based Syst., 2021

Zero-shot Learning via the fusion of generation and embedding for image recognition.
Inf. Sci., 2021

Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation.
Inf. Sci., 2021

Multi-label text classification via joint learning from label embedding and label correlation.
Neurocomputing, 2021

Shared-view and specific-view information extraction for recommendation.
Expert Syst. Appl., 2021

2020
Collaborative deep recommendation with global and local item correlations.
Neurocomputing, 2020

A Transductive Transfer Learning Approach Based on Manifold Learning.
Comput. Sci. Eng., 2020

2019
Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations.
IEEE Access, 2019

2018
Transfer robust sparse coding based on graph and joint distribution adaption for image representation.
Knowl. Based Syst., 2018

Mining frequent itemsets over uncertain data streams.
Int. J. High Perform. Comput. Netw., 2018

Supervised Convolutional Matrix Factorization for Document Recommendation.
Int. J. Comput. Intell. Appl., 2018

Collaborative social deep learning for celebrity recommendation.
Intell. Data Anal., 2018

Efficient pattern matching with periodical wildcards in uncertain sequences.
Intell. Data Anal., 2018


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