Search Results for author: Cheng Zeng

Found 8 papers, 2 papers with code

Analyze the Robustness of Classifiers under Label Noise

no code implementations12 Dec 2023 Cheng Zeng, YiXuan Xu, Jiaqi Tian

This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios.

Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)

no code implementations3 Dec 2023 Cheng Zeng, Jiaqi Tian, YiXuan Xu

Non-negative matrix factorization (NMF) and its variants have been widely employed in clustering and classification tasks (Long, & Jian , 2021).

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization

1 code implementation30 Mar 2023 Hanqi Jiang, Cheng Zeng, Runnan Chen, Shuai Liang, Yinhe Han, Yichao Gao, Conglin Wang

To address this problem, we propose a neural implicit surface learning method called Depth-NeuS based on depth information optimization for multi-view reconstruction.

Object Reconstruction Surface Reconstruction

FedTADBench: Federated Time-Series Anomaly Detection Benchmark

1 code implementation19 Dec 2022 Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu

We would like to answer the following questions: (1)How is the performance of time series anomaly detection algorithms when meeting federated learning?

Anomaly Detection Federated Learning +2

Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection

no code implementations IEEE Xplore 2020 Yuan Wan, Shengzi Sun, Cheng Zeng

This method reduces the high-dimensional data to the low dimensions and unifies different views to a combined weight matrix.

feature selection MULTI-VIEW LEARNING

Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem

no code implementations27 Jul 2019 Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang

The quality of data collected from different channels are inconsistent and some of them may not benefit for prediction.

A Logarithmic Barrier Method For Proximal Policy Optimization

no code implementations16 Dec 2018 Cheng Zeng, Hongming Zhang

Specifically, a new surrogate objective with interior penalty method is proposed to avoid the defect arose from exterior penalty method.

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