Realtime Online Hot Topics Prediction in Sina Weibo for News Earlier Report. - Sha Yuan; Zhe Tao; Tingshao Zhu; Shuotian Bai (AINA, 2017)

FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications. - Yunfei Song; Tian Liu 005; Tongquan Wei; Xiangfeng Wang; Zhe Tao; Mingsong Chen 001 (CoRR, 2020)

Research on the Prediction of Employee Turnover Behavior and Its Interpretability. - Zhe Tao; Cisheng Wu; Shuping Zhao (EITCE, 2021)

DICE*: A Formally Verified Implementation of DICE Measured Boot. - Zhe Tao; Aseem Rastogi; Naman Gupta; Kapil Vaswani; Aditya V. Thakur (USENIX Security Symposium, 2021)

Toward Reliable Programmable Logic Controller Function Block Diagrams. - Jianyong Zhao; Zhe Tao (IEEE Access, 2021)

FDA$^3$: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications. - Yunfei Song; Tian Liu 005; Tongquan Wei; Xiangfeng Wang; Zhe Tao; Mingsong Chen 001 (IEEE Trans. Ind. Informatics, 2021)

Prototypes Sampling Mechanism for Class Incremental Learning. - Zhe Tao; Shucheng Huang; Gang Wang 051 (IEEE Access, 2023)

Architecture-Preserving Provable Repair of Deep Neural Networks. - Zhe Tao; Stephanie Nawas; Jacqueline Mitchell 001; Aditya V. Thakur (Proc. ACM Program. Lang., 2023)

Filtering Out High Noise Data for Distributed Deep Neural Networks. - Yangguang Cui; Liying Li 002; Zhe Tao; Mingsong Chen 001; Tongquan Wei (IEEE Trans Autom. Sci. Eng., 2023)

SyReNN: A tool for analyzing deep neural networks. - Matthew Sotoudeh; Zhe Tao; Aditya V. Thakur (Int. J. Softw. Tools Technol. Transf., 2023)

Shallow multi-branch attention convolutional neural network for micro-expression recognition. - Gang Wang; Shucheng Huang; Zhe Tao (Multim. Syst., 2023)

Provable Editing of Deep Neural Networks using Parametric Linear Relaxation. - Zhe Tao; Aditya V. Thakur (NeurIPS, 2024)

Provable Repair of Vision Transformers. - Stephanie Nawas; Zhe Tao; Aditya V. Thakur (SAIV, 2024)

Towards Verifying Exact Conditions for Implementations of Density Functional Approximations. - Sameerah Helal; Zhe Tao; Cindy Rubio-González; François Gygi; Aditya V. Thakur (SC Workshops, 2024)

EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models. - Yu Huang; Liang Guo; Wanqian Guo; Zhe Tao; Yang Lv; Zhihao Sun; Dongfang Zhao 002 (CoRR, 2024)

Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. - Lu Yu 004; Zhe Tao; Hantao Yao; Joost van de Weijer 001; Changsheng Xu (CoRR, 2024)

Towards Verifying Exact Conditions of Density Functional Theory Approximations. - Sameerah Helal; Zhe Tao; Cindy Rubio-González; François Gygi; Aditya V. Thakur (CoRR, 2024)

Enabling Real-Time Conversations with Minimal Training Costs. - Wang Xu; Shuo Wang 013; Weilin Zhao; Xu Han 007; Yukun Yan; Yudi Zhang; Zhe Tao; Zhiyuan Liu 001; Wanxiang Che (CoRR, 2024)

Water Quality Inversion Framework for Taihu Lake Based on Multilayer Denoising Autoencoder and Ensemble Learning. - Zhihao Sun; Liang Guo; Zhe Tao; Yana Li; Yang Zhan; Shuling Li; Ying Zhao (Remote. Sens., 2024)

Fundamental Limits of Coded Caching in Request-Robust D2D Communication Networks. - Wuqu Wang; Zhe Tao; Nan Liu 001; Wei Kang 002 (Entropy, 2024)

Class Incremental Learning for Light-Weighted Networks. - Zhe Tao; Lu Yu 004; Hantao Yao; Shucheng Huang; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Language Guided Concept Bottleneck Models for Interpretable Continual Learning. - Lu Yu 004; Haoyu Han; Zhe Tao; Hantao Yao; Changsheng Xu (CVPR, 2025)