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ORCIDZhe Tao
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2020 – today
- 2024
[j9]Wuqu Wang
, Zhe Tao, Nan Liu, Wei Kang:
Fundamental Limits of Coded Caching in Request-Robust D2D Communication Networks. Entropy 26(3): 250 (2024)- [j8]Zhe Tao, Lu Yu, Hantao Yao, Shucheng Huang, Changsheng Xu:
Class Incremental Learning for Light-Weighted Networks. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12210-12220 (2024) - [c5]Stephanie Nawas, Zhe Tao, Aditya V. Thakur:
Provable Repair of Vision Transformers. SAIV 2024: 156-178 - [c4]Sameerah Helal, Zhe Tao, Cindy Rubio-González, François Gygi, Aditya V. Thakur:
Towards Verifying Exact Conditions for Implementations of Density Functional Approximations. SC Workshops 2024: 160-169 - [i6]Yu Huang, Liang Guo, Wanqian Guo, Zhe Tao, Yang Lv, Zhihao Sun, Dongfang Zhao:
EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models. CoRR abs/2405.11265 (2024) - [i5]Lu Yu, Zhe Tao, Hantao Yao, Joost van de Weijer, Changsheng Xu:
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. CoRR abs/2408.01076 (2024) - [i4]Sameerah Helal, Zhe Tao, Cindy Rubio-González, François Gygi, Aditya V. Thakur:
Towards Verifying Exact Conditions of Density Functional Theory Approximations. CoRR abs/2408.05316 (2024) - [i3]Wang Xu, Shuo Wang, Weilin Zhao, Xu Han, Yukun Yan, Yudi Zhang, Zhe Tao, Zhiyuan Liu, Wanxiang Che:
Enabling Real-Time Conversations with Minimal Training Costs. CoRR abs/2409.11727 (2024) - 2023
- [j7]Zhe Tao, Shucheng Huang, Gang Wang:
Prototypes Sampling Mechanism for Class Incremental Learning. IEEE Access 11: 81942-81952 (2023) - [j6]Gang Wang, Shucheng Huang, Zhe Tao:
Shallow multi-branch attention convolutional neural network for micro-expression recognition. Multim. Syst. 29(4): 1967-1980 (2023) - [j5]Zhe Tao, Stephanie Nawas, Jacqueline Mitchell, Aditya V. Thakur:
Architecture-Preserving Provable Repair of Deep Neural Networks. Proc. ACM Program. Lang. 7(PLDI): 443-467 (2023) - [j4]Matthew Sotoudeh, Zhe Tao, Aditya V. Thakur:
SyReNN: A tool for analyzing deep neural networks. Int. J. Softw. Tools Technol. Transf. 25(2): 145-165 (2023) - [j3]Yangguang Cui, Liying Li, Zhe Tao, Mingsong Chen, Tongquan Wei:
Filtering Out High Noise Data for Distributed Deep Neural Networks. IEEE Trans Autom. Sci. Eng. 20(1): 101-111 (2023) - [i2]Zhe Tao, Stephanie Nawas, Jacqueline Mitchell, Aditya V. Thakur:
Architecture-Preserving Provable Repair of Deep Neural Networks. CoRR abs/2304.03496 (2023) - 2021
- [j2]Jianyong Zhao, Zhe Tao:
Toward Reliable Programmable Logic Controller Function Block Diagrams. IEEE Access 9: 166137-166146 (2021) - [j1]Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen:
FDA$^3$: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications. IEEE Trans. Ind. Informatics 17(11): 7830-7838 (2021) - [c3]Zhe Tao, Cisheng Wu, Shuping Zhao:
Research on the Prediction of Employee Turnover Behavior and Its Interpretability. EITCE 2021: 760-767 - [c2]Zhe Tao, Aseem Rastogi, Naman Gupta, Kapil Vaswani, Aditya V. Thakur:
DICE*: A Formally Verified Implementation of DICE Measured Boot. USENIX Security Symposium 2021: 1091-1107 - 2020
- [i1]Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen:
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications. CoRR abs/2006.15632 (2020)
2010 – 2019
- 2017
- [c1]Sha Yuan, Zhe Tao, Tingshao Zhu, Shuotian Bai:
Realtime Online Hot Topics Prediction in Sina Weibo for News Earlier Report. AINA 2017: 599-605
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