Haotian Gao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
NeurBench: Benchmarking Learned Database Components with Data and Workload Drift Modeling.
CoRR, March, 2025
J. Chem. Inf. Model., 2025
SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
2024
Proc. ACM Manag. Data, December, 2024
PLANET: A Multi-objective Graph Neural Network Model for Protein-Ligand Binding Affinity Prediction.
J. Chem. Inf. Model., 2024
CoRR, 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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.
Proc. VLDB Endow., 2023
CoRR, 2023
2022
Quantum assimilation-based data augmentation for state of health prediction of lithium-ion batteries with peculiar degradation paths.
Appl. Soft Comput., 2022
Modeling of Safe Distance Between Ship Routes and Offshore Wind Farm Based on Tolerable Collision Probability.
IEEE Access, 2022
Synchronous reluctance motor flux linkage saturation modeling based on stationary identification and neural networks.
Proceedings of the IECON 2022, 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021