Chaoyang

The personal homepage of ChaoyangWang.

Personal Information

Name: Chaoyang Wang (王朝阳)

E-mail: sunwardtree@163.com

Github Link

Education Background

Huazhong Agricultural University (Bachelor)

Huazhong University of Science and Technology (Master & Ph.D.)

Research Interests

Reinforcement Learning, Recommender System, Generative Adversarial Network, Transfer Learning, Sensor Network, Signal Sorting.

Publications

  1. ``A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation” (First Author, Accepted by ECAI 2020, arXiv).

  2. ``A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information” (First Author, Accepted by Knowledge-Based Systems 2021, arXiv).

  3. ``DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems” (Second Author, Accepted by DASFAA 2021, ref).

  4. ``A Text-based Deep Reinforcement Learning Framework using Self-supervised Graph Representation for Interactive Recommendation” (First Author, Accepted by ACM/IMS Transactions on Data Science (TDS) 2022, ref).

  5. ``Joint Locality Preservation and Adaptive Combination for Graph Collaborative Filtering” (Second Author, Accepted by DASFAA 2022, ref).

  6. ``MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies” (Fourth Author, Accepted by CIKM 2022, ref).

  7. ``Graph-ICF: Item-based collaborative filtering based on graph neural network”(Fourth Author, Accepted by Knowledge-Based Systems 2022, ref).

  8. ``A Real-time Parallel Information Processing Method for Signal Sorting” (Corresponding Author, Accepted by DEXA 2023, ref).

  9. ``DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation” (Fourth Author, Accepted by SDM 2024, arXiv).

  10. ``LGMRec: Local and Global Graph Learning for Multimodal Recommendation” (Fourth Author, Accepted by AAAI 2024, arXiv).

  11. ``Degradation Estimation for Distributed Nonlinear Systems: A PDF-Consensus Particle Filtering Method” (Third Author, Accepted by IEEE Transactions on Network Science and Engineering 2025, ref).

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