Zihan Zhang

发表

Improved Collaborative Non-Negative Matrix Factorization and Total Variation for Hyperspectral Unmixing

Yuan Yuan, Qi Wang, Zihan Zhang, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform

Zihan Zhang, Chao Deng, Pengfei Liang, 2019, Comput. Ind..

Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition pdf

Xiangyang Ji, Zihan Zhang, Yuan Zhou, 2020, NeurIPS.

Dynamic maintenance strategy with iteratively updated group information

Zihan Zhang, Tianyi Wu, Xiaobing Ma, 2020, Reliab. Eng. Syst. Saf..

Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon pdf

Xiangyang Ji, Zihan Zhang, Simon S. Du, 2020, ArXiv.

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Zihan Zhang, Hiroshi Mamitsuka, Shanfeng Zhu, 2019, NeurIPS.

Postponed maintenance scheduling integrating state variation and environmental impact

Zihan Zhang, Li Yang, Li Yang, 2020, Reliab. Eng. Syst. Saf..

Railway line data optimization and formal modelling and verification of generation mothed

Zihan Zhang, Zhongtian Liu, Zhongtian Liu, 2019, IOP Conference Series: Materials Science and Engineering.

Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity pdf

Xiangyang Ji, Zihan Zhang, Yuan Zhou, 2020, ArXiv.

Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function

Xiangyang Ji, Zihan Zhang, Xiangyang Ji, 2019, NeurIPS.

Ultrasound Image Denoising Based on Fuzzy Logic

Jimin Yu, Shangbo Zhou, Zihan Zhang, 2019, 2019 International Conference on Communications, Information System and Computer Engineering (CISCE).

Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework

Jun Wu, Zihan Zhang, Chao Deng, 2020, Knowl. Based Syst..

Deep Learning on Mobile and Embedded Devices

Yanjiao Chen, Chao Shen, Qian Zhang, 2020, ACM Comput. Surv..

A New Metric on Symmetric Group and Application to Block Permutation Codes pdf

Chaoping Xing, Zihan Zhang, 2021, ArXiv.

Improving Non-autoregressive Generation with Mixup Training pdf

Fuzhen Zhuang, Furu Wei, Zihan Zhang, 2021, ArXiv.

Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP

Zihan Zhang, Simon S. Du, Xiangyang Ji, 2021, NeurIPS.

Near Optimal Reward-Free Reinforcement Learning

Zihan Zhang, Simon Du, Xiangyang Ji, 2021, ICML.

Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP pdf

Xiangyang Ji, Zihan Zhang, Simon S. Du, 2021, ArXiv.

Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits pdf

Zihan Zhang, Yuan Zhou, Xiangyang Ji, 2021, ArXiv.

Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon

Xiangyang Ji, Zihan Zhang, Simon S. Du, 2021, COLT.

iCallee: Recovering Call Graphs for Binaries pdf

Zhijian Ou, Zihan Zhang, Chao Zhang, 2021, ArXiv.

Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity pdf

Xiangyang Ji, Zihan Zhang, Yuan Zhou, 2020, ICML.

Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition pdf

Xiangyang Ji, Zihan Zhang, Yuan Zhou, 2020, NeurIPS.