Zhuozhuo Tu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Neural Architecture

Variational Bayesian

Directed Acyclic Graph

Learning Models

Top Venues

Publications

Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao
Transition role of entangled data in quantum machine learning. CoRR (2023)
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao
Few-shot Backdoor Defense Using Shapley Estimation. CVPR (2022)
Gemeng Zhang, Biao Cai, Aiying Zhang, Zhuozhuo Tu, Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. NeuroImage 260 (2022)
Yuxuan Du, Zhuozhuo Tu, Bujiao Wu, Xiao Yuan, Dacheng Tao
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy. CoRR (2022)
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao
Few-shot Backdoor Defense Using Shapley Estimation. CoRR (2021)
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR (2021)
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang
Explicitly Learning Topology for Differentiable Neural Architecture Search. CoRR (2020)
Zhuozhuo Tu, Fengxiang He, Dacheng Tao
Understanding Generalization in Recurrent Neural Networks. ICLR (2020)
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR (2020)
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao
Theoretical Analysis of Adversarial Learning: A Minimax Approach. NeurIPS (2019)
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao
Theoretical Analysis of Adversarial Learning: A Minimax Approach. CoRR (2018)