Zhuozhuo Tu

12 papers A* 4Journal 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models.
EMNLP
Zhuozhuo Tu, Cheng Chen, Yuxuan Du
2023 J jnl
Transition role of entangled data in quantum machine learning.
CoRR
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao
2022 J jnl
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.
NeuroImage
Gemeng Zhang, Biao Cai, Aiying Zhang, Zhuozhuo Tu, Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2022 A* conf
Few-shot Backdoor Defense Using Shapley Estimation.
CVPR
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao
2022 J jnl
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy.
CoRR
Yuxuan Du, Zhuozhuo Tu, Bujiao Wu, Xiao Yuan, Dacheng Tao
2021 J jnl
Few-shot Backdoor Defense Using Shapley Estimation.
CoRR
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao
2021 J jnl
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer.
CoRR
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
2020 J jnl
Explicitly Learning Topology for Differentiable Neural Architecture Search.
CoRR
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang
2020 J jnl
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization.
CoRR
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
2020 A* conf
Understanding Generalization in Recurrent Neural Networks.
ICLR
Zhuozhuo Tu, Fengxiang He, Dacheng Tao
2019 A* conf
Theoretical Analysis of Adversarial Learning: A Minimax Approach.
NeurIPS
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao
2018 J jnl
Theoretical Analysis of Adversarial Learning: A Minimax Approach.
CoRR
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao