I am Dr. Hongjie Chen, a Researcher at Dolby Labs.
My work centers on graph, time series, and audio.

Preprints

• Measuring Time-Series Dataset Similarity using Wasserstein Distance

Journal Publications

• Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks IEEE TNSE 2025
• Graph Time-series Modeling in Deep Learning: A Survey ACM TKDD 2024
• Graph Deep Factors for Probabilistic Time-series Forecasting ACM TKDD 2023

Conference Publications

• Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting KDD 2025
• A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models ICASSP 2025
• LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series IEEE BigData 2024
• A Study of Foundation Models for Large-scale Time-series Forecasting IEEE BigData 2024
• Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting PAKDD 2024
• Hypergraph Neural Networks for Time-series Forecasting IEEE BigData 2023
• Context Integrated Relational Spatio-Temporal Resource Forecasting IEEE BigData 2021
• Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation KDD 2021
• LncRNA-disease association prediction based on neighborhood information aggregation in neural network BIBM 2018

Patents & Copyrights

• US Patent – Deep Hybrid Graph-Based Forecasting Systems.
• China Software Copyright – Continuous Weighing of Living Aquatic Creatures.