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2020 – today
- 2025
[j8]Kai Hu
, Sheng Gong, Lingxiao Li, Yuantu Luo, Yaogen Li, Shanshan Jiang:
Federated Incremental Learning algorithm based on Topological Data Analysis. Pattern Recognit. 158: 111048 (2025)- 2024
- [j7]Kai Hu, Sheng Gong, Qi Zhang, Chaowen Seng, Min Xia, Shanshan Jiang:
An overview of implementing security and privacy in federated learning. Artif. Intell. Rev. 57(8): 204 (2024) - [j6]Kai Hu, Yaogen Li, Shuai Zhang, Jiasheng Wu, Sheng Gong, Shanshan Jiang, Liguo Weng:
FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation. Expert Syst. Appl. 237(Part A): 121463 (2024) - [j5]Teng-Fei Ding, Sheng Gong, Ming-Feng Ge, Zhi-Wei Liu, Zhe-Mei Fang:
Performance-guaranteed prescribed-time bipartite consensus of networked Lagrangian agents with bounded inputs and signed digraphs. J. Frankl. Inst. 361(17): 107217 (2024) - [j4]Kai Hu, Qi Zhang, Sheng Gong, Fuying Zhang, Liguo Weng, Shanshan Jiang, Min Xia:
A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8339-8357 (2024) - [j3]Yueyang Ben, Yan Sun, Qian Li, Hongdian Huang, Sheng Gong:
Multi-AUV Cooperative Navigation Algorithm Based on Factor Graph With Stretching Nodes' Strategy. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - [i5]Sheng Gong, Yumin Zhang, Zhenliang Mu, Zhichen Pu, Hongyi Wang, Zhiao Yu, Mengyi Chen, Tianze Zheng, Zhi Wang, Lifei Chen, Xiaojie Wu, Shaochen Shi, Weihao Gao, Wen Yan, Liang Xiang:
BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development. CoRR abs/2404.07181 (2024) - [i4]Hongyi Wang, Ji Sun, Jinzhe Liang, Li Zhai, Zitian Tang, Zijian Li, Wei Zhai, Xusheng Wang, Weihao Gao, Sheng Gong, Bolong Huang, Hua Zhang:
Crystals with Transformers on Graphs, for Prediction of Unconventional Crystal Material Properties and the Benchmark. CoRR abs/2407.16131 (2024) - [i3]Tianze Zheng, Ailun Wang, Xu Han, Yu Xia, Xingyuan Xu, Jiawei Zhan, Yu Liu, Yang Chen, Zhi Wang, Xiaojie Wu, Sheng Gong, Wen Yan:
Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverage. CoRR abs/2408.12817 (2024) - 2023
- [i2]Sheng Gong, Shuo Wang, Taishan Zhu, Yang Shao-Horn, Jeffrey C. Grossman:
Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties. CoRR abs/2309.04478 (2023) - 2022
- [i1]Tian Xie, Ha-Kyung Kwon, Daniel Schweigert, Sheng Gong, Arthur France-Lanord, Arash Khajeh, Emily Crabb, Michael Puzon, Chris Fajardo, Will Powelson, Yang Shao-Horn, Jeffrey C. Grossman:
A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations. CoRR abs/2208.01692 (2022) - 2020
- [c1]Sheng Gong, Hideya Ochiai, Hiroshi Esaki:
Scan-Based Self Anomaly Detection: Client-Side Mitigation of Channel-Based Man-in-the-Middle Attacks Against Wi-Fi. COMPSAC 2020: 1498-1503
2010 – 2019
- 2018
- [j2]Jun Li, Wei Zhu, Jun Wang, Wenfei Li, Sheng Gong, Jian Zhang, Wei Wang:
RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks. PLoS Comput. Biol. 14(11) (2018)
2000 – 2009
- 2009
- [j1]Chungen Xu, Sheng Gong:
Formal Description for an Object-Oriented Role-based Access Control Model. Comput. Inf. Sci. 2(2): 68-72 (2009)
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