Search Results for author: Xinyu Yang

Found 32 papers, 8 papers with code

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

no code implementations20 Jan 2023 Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han

For 3D point cloud transformers, existing efforts focus primarily on pushing their accuracy to the state-of-the-art level.

Autonomous Driving

Zebra: Deeply Integrating System-Level Provenance Search and Tracking for Efficient Attack Investigation

no code implementations10 Nov 2022 Xinyu Yang, Haoyuan Liu, Ziyu Wang, Peng Gao

System auditing has emerged as a key approach for monitoring system call events and investigating sophisticated attacks.

Aircraft Ground Taxiing Deduction and Conflict Early Warning Method Based on Control Command Information

no code implementations4 Nov 2022 Jingchang Zhuge, Huiyuan Liang, Yiming Zhang, Shichao Li, Xinyu Yang, Jun Wu

Aircraft taxiing conflict is a threat to the safety of airport operations, mainly due to the human error in control command infor-mation.

A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms

no code implementations14 Sep 2022 Hang Chen, Keqing Du, Xinyu Yang, Chenguang Li

Understanding causality helps to structure interventions to achieve specific goals and enables predictions under interventions.

Causal Discovery

Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction

no code implementations29 Aug 2022 Hang Chen, Xinyu Yang, Xiang Li

To learn it applicably, we propose a general clause-level encoding model named EA-GAT comprising E-GAT and Activation Sort.

Emotion-Cause Pair Extraction

Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation

1 code implementation17 Aug 2022 Chengxi Zeng, Xinyu Yang, Majid Mirmehdi, Alberto M Gambaruto, Tilo Burghardt

Our findings suggest that the proposed model can indeed enhance the TransUNet architecture via exploiting temporal information and improving segmentation performance by a significant margin.

Instance Segmentation Semantic Segmentation

Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour

no code implementations7 Aug 2022 Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou

Furthermore, we design a novel Interaction-Aware Transformer (IAT) to dynamically learn the graph-level representation of social behaviours and update the node-level representation, guided by our proposed interaction-aware self-attention mechanism.

Representation Learning Self-Supervised Learning

Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction

no code implementations2 Jun 2022 Xiangyuan Yang, Jie Lin, HANLIN ZHANG, Xinyu Yang, Peng Zhao

The empirical and theoretical analysis demonstrates that the MDL loss improves the robustness and generalization of the model simultaneously for natural training.

FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples

no code implementations2 Jun 2022 Xiangyuan Yang, Jie Lin, HANLIN ZHANG, Xinyu Yang, Peng Zhao

In the strong adversarial attacks against deep neural network (DNN), the output of DNN will be misclassified if and only if the last feature layer of the DNN is completely destroyed by adversarial samples, while our studies found that the middle feature layers of the DNN can still extract the effective features of the original normal category in these adversarial attacks.

Enhancing the Transferability of Adversarial Examples via a Few Queries

no code implementations19 May 2022 Xiangyuan Yang, Jie Lin, HANLIN ZHANG, Xinyu Yang, Peng Zhao

Due to the vulnerability of deep neural networks, the black-box attack has drawn great attention from the community.

Dynamic Curriculum Learning for Great Ape Detection in the Wild

1 code implementation30 Apr 2022 Xinyu Yang, Tilo Burghardt, Majid Mirmehdi

We propose a novel end-to-end curriculum learning approach for sparsely labelled animal datasets leveraging large volumes of unlabelled data to improve supervised species detectors.

object-detection Object Detection

Mixed Strategies for Security Games with General Defending Requirements

no code implementations26 Apr 2022 Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia

In this work, we initiate the study of mixed strategies for the security games in which the targets can have different defending requirements.

Adversarial Attack

ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence

1 code implementation24 Mar 2022 Luhui Wang, Cong Zhao, Shusen Yang, Xinyu Yang, Julie McCann

Intelligent applications based on machine learning are impacting many parts of our lives.


DTWSSE: Data Augmentation with a Siamese Encoder for Time Series

no code implementations23 Aug 2021 Xinyu Yang, Xinlan Zhang, Zhenguo Zhang, Yahui Zhao, Rongyi Cui

In order to reasonably measure the distance of the time series, DTW, which has been verified to be an effective method forts, is employed as the distance metric.

Data Augmentation Time Series +1

Review of end-to-end speech synthesis technology based on deep learning

no code implementations20 Apr 2021 Zhaoxi Mu, Xinyu Yang, Yizhuo Dong

As an indispensable part of modern human-computer interaction system, speech synthesis technology helps users get the output of intelligent machine more easily and intuitively, thus has attracted more and more attention.

Speech Synthesis

WakaVT: A Sequential Variational Transformer for Waka Generation

no code implementations1 Apr 2021 Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang

To further explore the creative potential of natural language generation systems in Japanese poetry creation, we propose a novel Waka generation model, WakaVT, which automatically produces Waka poems given user-specified keywords.

Text Generation

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

no code implementations13 Nov 2020 Shulei Ji, Jing Luo, Xinyu Yang

This paper attempts to provide an overview of various composition tasks under different music generation levels, covering most of the currently popular music generation tasks using deep learning.

Audio Generation Music Generation

Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning

1 code implementation14 Oct 2020 Xinyu Yang, Majid Mirmehdi, Tilo Burghardt

In this paper we show that learning video feature spaces in which temporal cycles are maximally predictable benefits action classification.

Action Classification Action Recognition +1

Latent Dirichlet Allocation Model Training with Differential Privacy

no code implementations9 Oct 2020 Fangyuan Zhao, Xuebin Ren, Shusen Yang, Qing Han, Peng Zhao, Xinyu Yang

To address the privacy issue in LDA, we systematically investigate the privacy protection of the main-stream LDA training algorithm based on Collapsed Gibbs Sampling (CGS) and propose several differentially private LDA algorithms for typical training scenarios.

Privacy Preserving

Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction

1 code implementation16 Jun 2020 Haoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You

To filter out irrelevant noises and alleviate the error propagation, DSAN dynamically extracts valuable information by applying self-attention over the noisy input and bridges each output directly to the purified inputs via implementing a switch-attention mechanism.

Future prediction

OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints

no code implementations22 Apr 2020 Qing Han, Shusen Yang, Xuebin Ren, Cong Zhao, Jingqi Zhang, Xinyu Yang

However, heterogeneous and limited computation and communication resources on edge servers (or edges) pose great challenges on distributed ML and formulate a new paradigm of Edge Learning (i. e. edge-cloud collaborative machine learning).

BIG-bench Machine Learning

Reviewing and Improving the Gaussian Mechanism for Differential Privacy

no code implementations27 Nov 2019 Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Zhiying Xu, Shuyu Shi, Xuebin Ren, Xinyu Yang, Yang Liu, Han Yu

Although both classical Gaussian mechanisms [1, 2] assume $0 < \epsilon \leq 1$, our review finds that many studies in the literature have used the classical Gaussian mechanisms under values of $\epsilon$ and $\delta$ where the added noise amounts of [1, 2] do not achieve $(\epsilon,\delta)$-DP.

MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Style

no code implementations29 Sep 2019 Jing Luo, Xinyu Yang, Shulei Ji, Juan Li

In this paper, we propose MG-VAE, a music generative model based on VAE (Variational Auto-Encoder) that is capable of capturing specific music style and generating novel tunes for Chinese folk songs (Min Ge) in a manipulatable way.

Music Generation Multimedia Sound Audio and Speech Processing

Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis

no code implementations5 Jun 2019 Yanan Li, Xuebin Ren, Shusen Yang, Xinyu Yang

Considering general correlations, a closed-form expression of privacy leakage is derived for continuous data, and a chain rule is presented for discrete data.

On Privacy Protection of Latent Dirichlet Allocation Model Training

no code implementations4 Jun 2019 Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang

Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for discovery of hidden semantic architecture of text datasets, and plays a fundamental role in many machine learning applications.

BIG-bench Machine Learning Privacy Preserving

Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas

no code implementations4 Jun 2019 Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi

To investigate such ethical dilemmas, recent studies have adopted preference aggregation, in which each voter expresses her/his preferences over decisions for the possible ethical dilemma scenarios, and a centralized system aggregates these preferences to obtain the winning decision.

Autonomous Vehicles Decision Making +1

Authorship attribution of source code by using back propagation neural network based on particle swarm optimization

1 code implementation PLOS ONE 2017 Xinyu Yang, Guoai Xu, Qi Li, Yanhui Guo, Miao Zhang

Then these metrics are input to neural network for supervised learning, the weights of which are output by PSO and BP hybrid algorithm.

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