Scholar
Hongjie Chen
Google Scholar ID: LNgkGo4AAAAJ
Dolby Labs.
Citations & Impact
Citations
243
H-index
8
i10-index
6
Publications
20
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 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)
- Journal Publications: Graph Time-series Modeling in Deep Learning: A Survey (ACM TKDD 2024)
- Journal Publications: Graph Deep Factors for Probabilistic Time-series Forecasting (ACM TKDD 2023)
- Conference Publications: Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting (KDD 2025)
- Conference Publications: A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models (ICASSP 2025)
- Conference Publications: LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series (IEEE BigData 2024)
- Conference Publications: A Study of Foundation Models for Large-scale Time-series Forecasting (IEEE BigData 2024)
- Conference Publications: Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting (PAKDD 2024)
- Conference Publications: Hypergraph Neural Networks for Time-series Forecasting (IEEE BigData 2023)
- Conference Publications: Context Integrated Relational Spatio-Temporal Resource Forecasting (IEEE BigData 2021)
- Conference Publications: Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation (KDD 2021)
- Conference Publications: 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
Research Experience
- Researcher, Dolby Labs
Background
- Researcher at Dolby Labs, focusing on graph, time series, and audio.
