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2020 – today
- 2024
[j6]Xiangying Zhang, Haotian Gao
, Haojie Wang, Zhihang Chen, Zhe Zhang, Xinchong Chen, Yan Li, Yifei Qi, Renxiao Wang:
PLANET: A Multi-objective Graph Neural Network Model for Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. 64(7): 2205-2220 (2024)- [c3]Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song:
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. IJCAI 2024: 3998-4006 - [c2]Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song:
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD 2024: 631-641 - [i3]Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song:
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR abs/2405.10800 (2024) - [i2]Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang:
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CoRR abs/2408.03013 (2024) - 2023
- [j5]Haotian Gao, Cong Yue, Tien Tuan Anh Dinh, Zhiyong Huang, Beng Chin Ooi:
Enabling Secure and Efficient Data Analytics Pipeline Evolution with Trusted Execution Environment. Proc. VLDB Endow. 16(10): 2485-2498 (2023) - [i1]Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song:
Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. CoRR abs/2312.00516 (2023) - 2022
- [j4]Haotian Gao, Cheng Xie, Kezhong Liu, Shuzhe Chen, Li Zhou, Zhao Liu, Rui Wang:
Modeling of Safe Distance Between Ship Routes and Offshore Wind Farm Based on Tolerable Collision Probability. IEEE Access 10: 71777-71790 (2022) - [j3]Haotian Gao, Kunsong Lin, Yuxuan Cui, Yunxia Chen:
Quantum assimilation-based data augmentation for state of health prediction of lithium-ion batteries with peculiar degradation paths. Appl. Soft Comput. 129: 109515 (2022) - [j2]Yanlin Fu, Qing Wu, Ke Liu, Haotian Gao:
Feature Selection Methods for Extreme Learning Machines. Axioms 11(9): 444 (2022) - [c1]Chong Bao, Haodong Chen, Chenyi Yang, Jixi Zhong, Haotian Gao, Shoujun Song:
Synchronous reluctance motor flux linkage saturation modeling based on stationary identification and neural networks. IECON 2022: 1-6 - 2021
- [j1]Zhongxiao Li, Ningna Sun, Haotian Gao, Ning Qin, Zhenchun Li:
Adaptive Subtraction Based on U-Net for Removing Seismic Multiples. IEEE Trans. Geosci. Remote. Sens. 59(11): 9796-9812 (2021)
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