Haotian Gao

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Towards Effective Orchestration of AI x DB Workloads.

[BibT_eX]

[DOI]

CoRR, March, 2026

PLANET v2.0: A comprehensive Protein-Ligand Affinity Prediction Model Based on Mixture Density Network.

[BibT_eX]

[DOI]

CoRR, January, 2026

RUQuant: Towards Refining Uniform Quantization for Large Language Models.

[BibT_eX]

[DOI]

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

2025

NeurBench: Benchmarking Learned Database Components with Data and Workload Drift Modeling.

[BibT_eX]

[DOI]

CoRR, March, 2025

Computational Methods for Predicting Chemical Reactivity of Covalent Compounds.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2025

How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference on Innovative Data Systems Research, 2025

Representation Learning for Community Life Circle Structures with Quality-Aware POI Dependencies.

[BibT_eX]

[DOI]

Shangci Sun

Haotian Gao

Proceedings of the Web Information Systems and Applications, 2025

2024

CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, December, 2024

PLANET: A Multi-objective Graph Neural Network Model for Protein-Ligand Binding Affinity Prediction.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

COMET:Combined Matrix for Elucidating Targets.

[BibT_eX]

[DOI]

CoRR, 2024

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Enabling Secure and Efficient Data Analytics Pipeline Evolution with Trusted Execution Environment.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Feature Selection Methods for Extreme Learning Machines.

[BibT_eX]

[DOI]

Axioms, 2022

Quantum assimilation-based data augmentation for state of health prediction of lithium-ion batteries with peculiar degradation paths.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Modeling of Safe Distance Between Ship Routes and Offshore Wind Farm Based on Tolerable Collision Probability.

[BibT_eX]

[DOI]

IEEE Access, 2022

Synchronous reluctance motor flux linkage saturation modeling based on stationary identification and neural networks.

[BibT_eX]

[DOI]

Proceedings of the IECON 2022, 2022

2021

Adaptive Subtraction Based on U-Net for Removing Seismic Multiples.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Haotian Gao

Bibliography

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