Peng Pan

Orcid: 0000-0002-9598-2072

Affiliations:
  • Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China


According to our database1, Peng Pan authored at least 32 papers between 2013 and 2023.

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

Timeline

Legend:

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Bibliography

2023
CTSARF: A Chinese Text Similarity Analysis Model based on Residual Fusion.
Neurocomputing, November, 2023

Cross Domain Deep Collaborative Filtering without Overlapping Data.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Graph-ICF: Item-based collaborative filtering based on graph neural network.
Knowl. Based Syst., 2022

SDNN: Symmetric deep neural networks with lateral connections for recommender systems.
Inf. Sci., 2022

GPM: A graph convolutional network based reinforcement learning framework for portfolio management.
Neurocomputing, 2022

2021
A Text-based Deep Reinforcement Learning Framework Using Self-supervised Graph Representation for Interactive Recommendation.
Trans. Data Sci., 2021

A light heterogeneous graph collaborative filtering model using textual information.
Knowl. Based Syst., 2021

DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems.
Proceedings of the Database Systems for Advanced Applications, 2021

XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Heterogeneous Graph Collaborative Filtering using Textual Information.
CoRR, 2020

A Text-Based Deep Reinforcement Learning Framework for Interactive Recommendation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Multimodal Multiclass Boosting and its Application to Cross-modal Retrieval.
Neurocomputing, 2019

BDMF: A Biased Deep Matrix Factorization Model for Recommendation.
Proceedings of the 2019 IEEE SmartWorld, 2019

A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
CS-DeCNN: Deconvolutional Neural Network for Reconstructing Images from Compressively Sensed Measurements.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017
Semi-supervised semantic factorization hashing for fast cross-modal retrieval.
Multim. Tools Appl., 2017

一种自适应的多类Boosting分类算法 (Adaptive Multiclass Boosting Classification Algorithm).
计算机科学, 2017

2016
Cross-Modal Self-Taught Hashing for large-scale image retrieval.
Signal Process., 2016

Image auto-annotation via concept interdependency network.
Multim. Tools Appl., 2016

2015
Markov random field based fusion for supervised and semi-supervised multi-modal image classification.
Multim. Tools Appl., 2015

Improving cross-modal and multi-modal retrieval combining content and semantics similarities with probabilistic model.
Multim. Tools Appl., 2015

Analyzing semantic correlation for cross-modal retrieval.
Multim. Syst., 2015

Image retrieval based on multi-concept detector and semantic correlation.
Sci. China Inf. Sci., 2015

Cross-Modal Self-Taught Learning for Image Retrieval.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Multiclass Boosting Framework for Multimodal Data Analysis.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

2014
Improving Automatic Image Annotation with Google Semantic Link.
Proceedings of the 2014 10th International Conference on Semantics, 2014

An adaptive multiclass boosting algorithm for classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Bimodal Learning for Multi-concept Image Query.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

A Cross-modal Multi-task Learning Framework for Image Annotation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
A semantic model for cross-modal and multi-modal retrieval.
Proceedings of the International Conference on Multimedia Retrieval, 2013

A Two-Phase Generation Model for Automatic Image Annotation.
Proceedings of the 2013 IEEE International Symposium on Multimedia, 2013


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