Search Results for author: XiaoYu Zhang

Found 39 papers, 12 papers with code

Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

no code implementations27 Feb 2024 XiaoYu Zhang, Matthew Chang, Pranav Kumar, Saurabh Gupta

The Dataset Aggregation, or DAgger approach to this problem simply collects more data to cover these failure states.

Imitation Learning

Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction

no code implementations27 Feb 2024 Zihao Liu, XiaoYu Zhang, Guangwei Liu, Ji Zhao, Ningyi Xu

Although the map construction is essentially a point set prediction task, MapQR utilizes instance queries rather than point queries.

Autonomous Driving

Chu-ko-nu: A Reliable, Efficient, and Anonymously Authentication-Enabled Realization for Multi-Round Secure Aggregation in Federated Learning

no code implementations23 Feb 2024 Kaiping Cui, Xia Feng, Liangmin Wang, Haiqin Wu, XiaoYu Zhang, Boris Düdder

Specifically, in terms of share transfer, Chu-ko-nu breaks the probability P barrier by supplementing a redistribution process of secret key components (the sum of all components is the secret key), thus ensuring the reusability of the secret key.

Federated Learning

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One

no code implementations19 Feb 2024 Tianlin Li, XiaoYu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu

Building on this insight and observation, we develop FairThinking, a pipeline designed to automatically generate roles that enable LLMs to articulate diverse perspectives for fair expressions.

Fairness Language Modelling +1

Multi-target Detection for Reconfigurable Holographic Surfaces Enabled Radar

no code implementations17 Jan 2024 XiaoYu Zhang, Haobo Zhang, Ruoqi Deng, Liang Liu, Boya Di

Multi-target detection is one of the primary tasks in radar-based localization and sensing, typically built on phased array antennas.

DREAM: Debugging and Repairing AutoML Pipelines

no code implementations31 Dec 2023 XiaoYu Zhang, Juan Zhai, Shiqing Ma, Chao Shen

In response to the challenge of model design, researchers proposed Automated Machine Learning (AutoML) systems, which automatically search for model architecture and hyperparameters for a given task.

AutoML

Automatic Implementation of Neural Networks through Reaction Networks -- Part I: Circuit Design and Convergence Analysis

no code implementations30 Nov 2023 Yuzhen Fan, XiaoYu Zhang, Chuanhou Gao, Denis Dochain

Information processing relying on biochemical interactions in the cellular environment is essential for biological organisms.

Push Past Green: Learning to Look Behind Plant Foliage by Moving It

no code implementations6 Jul 2023 XiaoYu Zhang, Saurabh Gupta

We use self-supervision to train SRPNet, a neural network that predicts what space is revealed on execution of a candidate action on a given plant.

SIFTER: A Task-specific Alignment Strategy for Enhancing Sentence Embeddings

no code implementations21 Jun 2023 Chao Yu, Wenhao Zhu, Chaoming Liu, XiaoYu Zhang, Qiuhong zhai

This indicates that different downstream tasks have different levels of sensitivity to sentence components.

Sentence Sentence Embeddings +1

A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions

no code implementations3 Jun 2023 Hao Wang, Ruihong He, XiaoYu Zhang, Zhaoying Bian, Dong Zeng, Jianhua Ma

In this work, we propose a novel peer-to-peer federated continual learning strategy to improve low-dose CT imaging performance from multiple institutions.

Computed Tomography (CT) Continual Learning +1

Pre-trained transformer for adversarial purification

no code implementations27 May 2023 Kai Wu, Yujian Betterest Li, Jian Lou, XiaoYu Zhang, Handing Wang, Jing Liu

It is frightening that deep neural networks are vulnerable and sensitive to adversarial attacks, the most common one of which for the services is evasion-based.

SimHaze: game engine simulated data for real-world dehazing

no code implementations25 May 2023 Zhengyang Lou, Huan Xu, Fangzhou Mu, Yanli Liu, XiaoYu Zhang, Liang Shang, Jiang Li, Bochen Guan, Yin Li, Yu Hen Hu

Using a modern game engine, our approach renders crisp clean images and their precise depth maps, based on which high-quality hazy images can be synthesized for training dehazing models.

Depth Estimation Image Dehazing +1

B2Opt: Learning to Optimize Black-box Optimization with Little Budget

no code implementations24 Apr 2023 XiaoBin Li, Kai Wu, XiaoYu Zhang, Handing Wang, Jing Liu

To achieve this, 1) drawing on the mechanism of genetic algorithm, we propose a deep neural network framework called B2Opt, which has a stronger representation of optimization strategies based on survival of the fittest; 2) B2Opt can utilize the cheap surrogate functions of the target task to guide the design of the efficient optimization strategies.

Efficient Map Sparsification Based on 2D and 3D Discretized Grids

1 code implementation CVPR 2023 XiaoYu Zhang, Yun-hui Liu

Furthermore, to reduce the influence of different spatial distributions between the mapping and query sequences, which is not considered in previous methods, we also introduce a space constraint term based on 3D discretized grids.

Autonomous Navigation

ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer

1 code implementation CVPR 2023 Shen Lin, XiaoYu Zhang, Chenyang Chen, Xiaofeng Chen, Willy Susilo

When receiving the unlearning requests, we transfer the knowledge of the non-target data points from the original model to the unlearned model and meanwhile prohibit the knowledge of the target data points via our proposed knowledge transfer and prohibition (KTP) method.

Machine Unlearning Transfer Learning

MUter: Machine Unlearning on Adversarially Trained Models

no code implementations ICCV 2023 Junxu Liu, Mingsheng Xue, Jian Lou, XiaoYu Zhang, Li Xiong, Zhan Qin

However, existing methods focus exclusively on unlearning from standard training models and do not apply to adversarial training models (ATMs) despite their popularity as effective defenses against adversarial examples.

Machine Unlearning

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective

1 code implementation ICCV 2023 Yulin Jin, XiaoYu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

The experimental evaluations manifest the superiority of SAT over other state-of-the-art AT mechanisms in defending against adversarial attacks against both output and intermediate layers.

Adversarial Attack Adversarial Robustness +1

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation

1 code implementation22 Dec 2022 XiaoYu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

We propose a variational Bayesian method to approximate posterior distributions over dialogue-specific subgraphs, which not only leverages the dialogue corpus for restructuring missing entity relations but also dynamically selects knowledge based on the dialogue context.

Knowledge Graphs Recommendation Systems

MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing

no code implementations11 Jan 2022 Xin Liu, Yuntao Wang, Sinan Xie, XiaoYu Zhang, Zixian Ma, Daniel McDuff, Shwetak Patel

Camera-based contactless photoplethysmography refers to a set of popular techniques for contactless physiological measurement.

OmiTrans: generative adversarial networks based omics-to-omics translation framework

1 code implementation27 Nov 2021 XiaoYu Zhang, Yike Guo

With the rapid development of high-throughput experimental technologies, different types of omics (e. g., genomics, epigenomics, transcriptomics, proteomics, and metabolomics) data can be produced from clinical samples.

Image-to-Image Translation Translation

Consensus-Based Decentralized Energy Trading for Distributed Energy Resources

no code implementations28 Oct 2021 Zhenyu Wang, XiaoYu Zhang, Hao Wang

In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy.

energy trading Management +1

VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks

no code implementations25 Oct 2021 Xiwei Xuan, XiaoYu Zhang, Oh-Hyun Kwon, Kwan-Liu Ma

The rapid development of Convolutional Neural Networks (CNNs) in recent years has triggered significant breakthroughs in many machine learning (ML) applications.

Image Classification

SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints

1 code implementation10 Sep 2021 Ziwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, XiaoYu Zhang, Wei Wang

Object SLAM introduces the concept of objects into Simultaneous Localization and Mapping (SLAM) and helps understand indoor scenes for mobile robots and object-level interactive applications.

Object Object SLAM

Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning

no code implementations6 Sep 2021 Yuxiang Sun, Bo Yuan, Yufan Xue, Jiawei Zhou, XiaoYu Zhang, Xianzhong Zhou

Researchers are increasingly focusing on intelligent games as a hot research area. The article proposes an algorithm that combines the multi-attribute management and reinforcement learning methods, and that combined their effect on wargaming, it solves the problem of the agent's low rate of winning against specific rules and its inability to quickly converge during intelligent wargame training. At the same time, this paper studied a multi-attribute decision making and reinforcement learning algorithm in a wargame simulation environment, and obtained data on red and blue conflict. Calculate the weight of each attribute based on the intuitionistic fuzzy number weight calculations.

Attribute Decision Making +3

Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection

no code implementations13 Aug 2021 Jinchao Zhu, XiaoYu Zhang, Xian Fang, Feng Dong, Qiu Yu

Then, a modal-adaptive gate unit (MGU) is proposed to suppress the invalid information and transfer the effective modal features to the recoding mixer and the hybrid branch decoder.

object-detection RGB-D Salient Object Detection +1

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

2 code implementations26 May 2021 Eloise Withnell, XiaoYu Zhang, Kai Sun, Yike Guo

To the best of our knowledge, XOmiVAE is one of the first activation level-based interpretable deep learning models explaining novel clusters generated by VAE.

Classification Clustering +1

GraphFM: Graph Factorization Machines for Feature Interaction Modeling

1 code implementation25 May 2021 Zekun Li, Shu Wu, Zeyu Cui, XiaoYu Zhang

Factorization machine (FM) is a prevalent approach to modeling pairwise (second-order) feature interactions when dealing with high-dimensional sparse data.

Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey

no code implementations13 May 2021 XiaoYu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang

This survey presents the most recent findings of privacy attacks and defenses appeared in cloud-based neural network services.

Cloud Computing

DyGCN: Dynamic Graph Embedding with Graph Convolutional Network

no code implementations7 Apr 2021 Zeyu Cui, Zekun Li, Shu Wu, XiaoYu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai

We naturally generalizes the embedding propagation scheme of GCN to dynamic setting in an efficient manner, which is to propagate the change along the graph to update node embeddings.

Dynamic graph embedding

OmiEmbed: a unified multi-task deep learning framework for multi-omics data

1 code implementation3 Feb 2021 XiaoYu Zhang, Yuting Xing, Kai Sun, Yike Guo

To tackle this problem and pave the way for machine learning aided precision medicine, we proposed a unified multi-task deep learning framework named OmiEmbed to capture biomedical information from high-dimensional omics data with the deep embedding and downstream task modules.

BIG-bench Machine Learning Decision Making +2

Flow-Sensory Contact Electrification of Graphene

no code implementations28 Jan 2021 XiaoYu Zhang, Eric Chia, Xiao Fan, Jinglei Ping

All-electronic interrogation of biofluid flow velocity by sensors incorporated in ultra-low-power or self-sustained systems offers the promise of enabling multifarious emerging research and applications.

Applied Physics

Heterogeneous Graph Collaborative Filtering

no code implementations13 Nov 2020 Zekun Li, Yujia Zheng, Shu Wu, XiaoYu Zhang, Liang Wang

In this work, we propose to model user-item interactions as a heterogeneous graph which consists of not only user-item edges indicating their interaction but also user-user edges indicating their similarity.

Collaborative Filtering

Unsupervised Visual Representation Learning with Increasing Object Shape Bias

no code implementations17 Nov 2019 Zhibo Wang, Shen Yan, XiaoYu Zhang, Niels Lobo

(Very early draft)Traditional supervised learning keeps pushing convolution neural network(CNN) achieving state-of-art performance.

Object Representation Learning

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