Search Results for author: Zixuan Wang

Found 23 papers, 5 papers with code

Tencent submission for WMT20 Quality Estimation Shared Task

no code implementations WMT (EMNLP) 2020 Haijiang Wu, Zixuan Wang, Qingsong Ma, Xinjie Wen, Ruichen Wang, Xiaoli Wang, Yulin Zhang, Zhipeng Yao, Siyao Peng

This paper presents Tencent’s submission to the WMT20 Quality Estimation (QE) Shared Task: Sentence-Level Post-editing Effort for English-Chinese in Task 2.

Machine Translation Sentence +2

BCFPL: Binary classification ConvNet based Fast Parking space recognition with Low resolution image

no code implementations22 Apr 2024 Shuo Zhang, Xin Chen, Zixuan Wang

The automobile plays an important role in the economic activities of mankind, especially in the metropolis.

FinLangNet: A Novel Deep Learning Framework for Credit Risk Prediction Using Linguistic Analogy in Financial Data

1 code implementation19 Apr 2024 Yu Lei, Zixuan Wang, Chu Liu, Tongyao Wang, Dongyang Lee

Our research demonstrates that FinLangNet surpasses traditional statistical methods in predicting credit risk and that its integration with these methods enhances credit card fraud prediction models, achieving a significant improvement of over 1. 5 points in the Kolmogorov-Smirnov metric.

An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree

no code implementations3 Apr 2024 Hanxuan Wang, Na Lu, Zixuan Wang, Jiacheng Liu, Jun Liu

TSA-ENRT utilizes an expert guiding nonlinear regression tree to approximate the neural network prediction and the neural network can be explained by the interpretive rules generated by the tree model.


DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance

1 code implementation20 Mar 2024 Zixuan Wang, Jia Jia, Shikun Sun, Haozhe Wu, Rong Han, Zhenyu Li, Di Tang, Jiaqing Zhou, Jiebo Luo

However, camera movement synthesis with music and dance remains an unsolved challenging problem due to the scarcity of paired data.

RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation

no code implementations29 Dec 2023 Weiying Xie, Zixuan Wang, Jitao Ma, Daixun Li, Yunsong Li

The key component of RS-DGC is a Neighborhood Statistical Indicator (NSI), which can quantify the importance of gradients within a specified neighborhood on each node to sparsify the local gradients before gradient transmission in each iteration.

Earth Observation

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

no code implementations16 Nov 2023 Daixun Li, Weiying Xie, Zixuan Wang, YiBing Lu, Yunsong Li, Leyuan Fang

With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover classification tasks.

Denoising Federated Learning +2

Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation

no code implementations24 Oct 2023 Yinjie Lei, Zixuan Wang, Feng Chen, Guoqing Wang, Peng Wang, Yang Yang

Multi-modal 3D scene understanding has gained considerable attention due to its wide applications in many areas, such as autonomous driving and human-computer interaction.

Autonomous Driving Scene Understanding

Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis

no code implementations20 Oct 2023 Zixuan Wang, Haoran Tang, Haibo Wang, Bo Qin, Mark D. Butala, Weiming Shen, Hongwei Wang

Despite the remarkable results that can be achieved by data-driven intelligent fault diagnosis techniques, they presuppose the same distribution of training and test data as well as sufficient labeled data.

Unsupervised Domain Adaptation

FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing

no code implementations14 Aug 2023 Pan Wang, Zeyi Li, Mengyi Fu, Zixuan Wang, Ze Zhang, MinYao Liu

The framework enhances user privacy and model credibility, offering a comprehensive solution for dependable and transparent Network TC in 5G CPE, thus enhancing service quality and security.

Edge-computing Federated Learning +2

Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis

no code implementations26 Jun 2023 Zixuan Wang, Bo Qin, Mengxuan Li, Chenlu Zhan, Mark D. Butala, Peng Peng, Hongwei Wang

The proposed method employs cosine similarity to identify hard samples and subsequently, leverages supervised contrastive learning to learn more discriminative representations by constructing hard sample pairs.

Contrastive Learning Representation Learning

LA3: Efficient Label-Aware AutoAugment

1 code implementation20 Apr 2023 Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu

Automated augmentation is an emerging and effective technique to search for data augmentation policies to improve generalizability of deep neural network training.

Bayesian Optimization Data Augmentation

Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

no code implementations7 Oct 2022 Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge

Globally we observe that the training dynamics for our example has an interesting bifurcating behavior, which was also observed in the training of neural nets.

Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability

no code implementations26 Jul 2022 Zhouzi Li, Zixuan Wang, Jian Li

Based on this empirical observation, we attempt to theoretically and empirically explain the dynamics of various key quantities that lead to the change of sharpness in each phase of EOS.

Explicit and implicit models in infrared and visible image fusion

no code implementations20 Jun 2022 Zixuan Wang, Bin Sun

Infrared and visible images, as multi-modal image pairs, show significant differences in the expression of the same scene.

Infrared And Visible Image Fusion

Residual-guided Personalized Speech Synthesis based on Face Image

no code implementations1 Apr 2022 Jianrong Wang, Zixuan Wang, Xiaosheng Hu, XueWei Li, Qiang Fang, Li Liu

Experimental results show that the speech synthesized by our model is comparable to the personalized speech synthesized by training a large amount of audio data in previous works.

Speech Synthesis

Verdi: Quality Estimation and Error Detection for Bilingual Corpora

1 code implementation31 May 2021 Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang

Verdi adopts two word predictors to enable diverse features to be extracted from a pair of sentences for subsequent quality estimation, including a transformer-based neural machine translation (NMT) model and a pre-trained cross-lingual language model (XLM).

Language Modelling Machine Translation +3

Convergence of Gradient Algorithms for Nonconvex C^{1+alpha} Cost Functions

no code implementations1 Dec 2020 Zixuan Wang, Shanjian Tang

This paper is concerned with convergence of stochastic gradient algorithms with momentum terms in the nonconvex setting.

Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision

no code implementations20 Nov 2018 Wanxin Tian, Zixuan Wang, Haifeng Shen, Weihong Deng, Yiping Meng, Binghui Chen, Xiubao Zhang, Yuan Zhao, Xiehe Huang

We assume that problems inside are inadequate use of supervision information and imbalance between semantics and details at all level feature maps in CNN even with Feature Pyramid Networks (FPN).

Face Detection Segmentation +1

Intelligent Health Recommendation System for Computer Users

no code implementations29 Apr 2015 Qi Guo, Zixuan Wang, Ming Li, Hamid Aghajan

The time people spend in front of computers has been increasing steadily due to the role computers play in modern society.

Who and Where: People and Location Co-Clustering

no code implementations31 Jul 2013 Zixuan Wang, Jinyun Yan

In this paper, we consider the clustering problem on images where each image contains patches in people and location domains.


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