Hanchen Yang

Orcid: 0000-0002-9011-0355

Affiliations:

Hong Kong Polytechnic University, Hong Kong, SAR, China

According to our database¹, Hanchen Yang authored at least 21 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2026

SSDA: Bridging Spectral and Structural Gaps via Dual Adaptation for Vision-Based Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2026

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, April, 2026

One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction.

[BibT_eX]

[DOI]

CoRR, April, 2026

PiFormer: Towards Subseasonal SST Prediction with Spatial-Patched Inverted Transformer.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, November, 2025

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies and Opportunities.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, August, 2025

Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., August, 2025

DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes.

[BibT_eX]

[DOI]

CoRR, August, 2025

Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., March, 2025

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2025

SH_Traffic.

[BibT_eX]

[DOI]

Dataset, January, 2025

LLM4HRS: LLM-Based Spatiotemporal Imputation Model for Highly Sparse Remote Sensing Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

STDMamba: Spatiotemporal Decomposition Mamba for Long-Term Fine-Grained SST Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

2023

HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., August, 2023

On Evaluating the Predictability of Sea Surface Temperature Using Entropy.

[BibT_eX]

[DOI]

Remote. Sens., April, 2023

Hanchen Yang

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