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.
no code implementations • 22 Apr 2024 • Shuo Zhang, Xin Chen, Zixuan Wang
The automobile plays an important role in the economic activities of mankind, especially in the metropolis.
1 code implementation • 19 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.
no code implementations • 3 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.
1 code implementation • 20 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.
no code implementations • 29 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.
no code implementations • 16 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.
no code implementations • 24 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.
no code implementations • 20 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.
no code implementations • 14 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.
no code implementations • 26 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.
1 code implementation • 20 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.
no code implementations • 7 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.
no code implementations • 26 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.
no code implementations • 20 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.
no code implementations • 1 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.
1 code implementation • 26 Nov 2021 • Xiangyu Meng, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Zixuan Wang, Xun Wang
Segmentation and labeling of liver tumors and blood vessels in CT images can provide convenience for doctors in liver tumor diagnosis and surgical intervention.
1 code implementation • 31 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).
no code implementations • 1 Dec 2020 • Zixuan Wang, Shanjian Tang
This paper is concerned with convergence of stochastic gradient algorithms with momentum terms in the nonconvex setting.
no code implementations • 20 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).
no code implementations • 29 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.
no code implementations • 15 Mar 2014 • Zixuan Wang, Wei Di, Anurag Bhardwaj, Vignesh Jagadeesh, Robinson Piramuthu
We present a novel compact image descriptor for large scale image search.
no code implementations • 31 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.