b'Fan Wu'

research

∙ 08/02/2023

Factor Graph Neural Networks

In recent years, we have witnessed a surge of Graph Neural Networks (GNN...

0 Zhen Zhang, et al. ∙

research

∙ 07/19/2023

Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures

Studying the manipulation of deformable linear objects has significant p...

0 Kejia Chen, et al. ∙

research

∙ 07/05/2023

SoK: Privacy-Preserving Data Synthesis

As the prevalence of data analysis grows, safeguarding data privacy has ...

0 Yuzheng Hu, et al. ∙

research

∙ 06/10/2023

Learning optimal controllers: a dynamical motion primitive approach

Real-time computation of optimal control is a challenging problem and, t...

0 Hugo T. M. Kussaba, et al. ∙

research

∙ 06/01/2023

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection

Quantum machine learning (QML) is an emerging field of research that lev...

0 Mst Shapna Akter, et al. ∙

research

∙ 03/18/2023

DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models

Many large vision models have been deployed on the cloud for real-time s...

0 Yucheng Ding, et al. ∙

research

∙ 03/04/2023

Traffic State Estimation with Anisotropic Gaussian Processes from Vehicle Trajectories

Accurately monitoring road traffic state and speed is crucial for variou...

0 Fan Wu, et al. ∙

research

∙ 02/27/2023

Criticality-Enhanced Quantum Sensing in the Anisotropic Quantum Rabi Model

Quantum systems that undergo quantum phase transitions exhibit divergent...

0 Xin Zhu, et al. ∙

research

∙ 01/30/2023

Designing Ad Auctions with Private Constraints for Automated Bidding

In online advertising, automated bidding (auto-bidding) has become a wid...

0 Yidan Xing, et al. ∙

research

∙ 12/30/2022

BSA – Bi-Stiffness Actuation for optimally exploiting intrinsic compliance and inertial coupling effects in elastic joint robots

Compliance in actuation has been exploited to generate highly dynamic ma...

0 Dennis Ossadnik, et al. ∙

research

∙ 12/20/2022

evoML Yellow Paper: Evolutionary AI and Optimisation Studio

Machine learning model development and optimisation can be a rather cumb...

0 Lingbo Li, et al. ∙

research

∙ 11/29/2022

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising

Digital advertising constitutes one of the main revenue sources for onli...

0 Hongtao Lv, et al. ∙

research

∙ 11/11/2022

One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design

The mainstream workflow of image recognition applications is first train...

0 Yikai Yan, et al. ∙

research

∙ 10/21/2022

On-Device Model Fine-Tuning with Label Correction in Recommender Systems

To meet the practical requirements of low latency, low cost, and good pr...

0 Yucheng Ding, et al. ∙

research

∙ 10/10/2022

Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting

Continuous-time dynamics models, such as neural ordinary differential eq...

0 Fan Wu, et al. ∙

research

∙ 09/19/2022

Learning Optimal Deterministic Auctions with Correlated Valuation Distributions

In mechanism design, it is challenging to design the optimal auction wit...

0 Da Huo, et al. ∙

research

∙ 09/01/2022

Online Data Selection for Federated Learning with Limited Storage

Machine learning models have been deployed in mobile networks to deal wi...

0 Chen gong, et al. ∙

research

∙ 07/25/2022

SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination

Transfer learning through the use of pre-trained models has become a gro...

0 Zhuowen Yuan, et al. ∙

research

∙ 06/26/2022

Malware Detection and Prevention using Artificial Intelligence Techniques

With the rapid technological advancement, security has become a major is...

0 Md Jobair Hossain Faruk, et al. ∙

research

∙ 05/30/2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning

To break the bottlenecks of mainstream cloud-based machine learning (ML)...

0 Chengfei Lv, et al. ∙

research

∙ 04/08/2022

Clone Detection on Large Scala Codebases

Code clones are identical or similar code segments. The wide existence o...

0 Wahidur Rahman, et al. ∙

research

∙ 02/09/2022

Vertical Federated Learning: Challenges, Methodologies and Experiments

Recently, federated learning (FL) has emerged as a promising distributed...

16 Kang Wei, et al. ∙

research

∙ 01/24/2022

On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems

Data heterogeneity is an intrinsic property of recommender systems, maki...

0 Renjie Gu, et al. ∙

research

∙ 11/23/2021

Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis

Matrix factorization (MF) can extract the low-rank features and integrat...

0 Zixuan Li, et al. ∙

research

∙ 11/10/2021

On Designing a Two-stage Auction for Online Advertising

For the scalability of industrial online advertising systems, a two-stag...

0 Yiqing Wang, et al. ∙

research

∙ 08/25/2021

Normal Learning in Videos with Attention Prototype Network

Frame reconstruction (current or future frame) based on Auto-Encoder (AE...

0 Chao Hu, et al. ∙

research

∙ 08/24/2021

Data-Free Evaluation of User Contributions in Federated Learning

Federated learning (FL) trains a machine learning model on mobile device...

0 Hongtao Lv, et al. ∙

research

∙ 08/14/2021

LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis

Graph structured data have enabled several successful applications such ...

0 Fan Wu, et al. ∙

research

∙ 08/03/2021

Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles

The emergence of Intelligent Connected Vehicles (ICVs) shows great poten...

0 Haoye Chai, et al. ∙

research

∙ 07/22/2021

Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack

To explore the robustness of recommender systems, researchers have propo...

0 Fan Wu, et al. ∙

research

∙ 06/17/2021

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

We present the first framework of Certifying Robust Policies for reinfor...

0 Fan Wu, et al. ∙

research

∙ 06/11/2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

In online advertising, auto-bidding has become an essential tool for adv...

0 Chao Wen, et al. ∙

research

∙ 06/07/2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

In e-commerce advertising, it is crucial to jointly consider various per...

0 Xiangyu Liu, et al. ∙

research

∙ 05/28/2021

Implicit Regularization in Matrix Sensing via Mirror Descent

We study discrete-time mirror descent applied to the unregularized empir...

0 Fan Wu, et al. ∙

research

∙ 05/25/2021

We Know What You Want: An Advertising Strategy Recommender System for Online Advertising

Advertising expenditures have become the major source of revenue for e-c...

0 Liyi Guo, et al. ∙

research

∙ 05/08/2021

Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent

This paper studies early-stopped mirror descent applied to noisy sparse ...

0 Fan Wu, et al. ∙

research

∙ 04/15/2021

Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities

Unmanned aerial vehicles (UAVs), or say drones, are envisioned to suppor...

0 Yuben Qu, et al. ∙

research

∙ 03/20/2021

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Recent success of deep neural networks (DNNs) hinges on the availability...

0 Boxin Wang, et al. ∙

research

∙ 01/14/2021

Game-based Pricing and Task Offloading in Mobile Edge Computing Enabled Edge-Cloud Systems

As a momentous enabling of the Internet of things (IoT), mobile edge com...

0 Yi Su, et al. ∙

research

∙ 01/11/2021

FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis

Android is currently the most extensively used smartphone platform in th...

0 Wenhao fan, et al. ∙

research

∙ 12/20/2020

Toward Understanding the Influence of Individual Clients in Federated Learning

Federated learning allows mobile clients to jointly train a global model...

0 Yihao Xue, et al. ∙

research

∙ 12/05/2020

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

In e-commerce advertising, the ad platform usually relies on auction mec...

0 Zhilin Zhang, et al. ∙

research

∙ 11/08/2020

The Twelvefold Way of Non-Sequential Lossless Compression

Many information sources are not just sequences of distinguishable symbo...

0 Taha Ameen ur Rahman, et al. ∙

research

∙ 10/20/2020

A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval

We analyze continuous-time mirror descent applied to sparse phase retrie...

0 Fan Wu, et al. ∙

research

∙ 09/16/2020

Better Model Selection with a new Definition of Feature Importance

Feature importance aims at measuring how crucial each input feature is f...

0 Fan Fang, et al. ∙

research

∙ 09/10/2020

IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning

Hyperparameter optimisation is a crucial process in searching the optima...

0 Yuxi Huan, et al. ∙

research

∙ 08/20/2020

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

For e-commerce platforms such as Taobao and Amazon, advertisers play an ...

9 Liyi Guo, et al. ∙

research

∙ 08/05/2020

Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way

In sponsored search, retrieving synonymous keywords is of great importan...

0 Yijiang Lian, et al. ∙

research

∙ 07/26/2020

Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning in 6G Networks

Ubiquitous intelligence has been widely recognized as a critical vision ...

0 Yuben Qu, et al. ∙

research

∙ 06/01/2020

Hadamard Wirtinger Flow for Sparse Phase Retrieval

We consider the problem of reconstructing an n-dimensional k-sparse sign...

0 Fan Wu, et al. ∙

Fan Wu

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