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08/02/2023
Factor Graph Neural Networks
In recent years, we have witnessed a surge of Graph Neural Networks (GNN...
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07/19/2023
Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures
Studying the manipulation of deformable linear objects has significant p...
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07/05/2023
SoK: Privacy-Preserving Data Synthesis
As the prevalence of data analysis grows, safeguarding data privacy has ...
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06/10/2023
Learning optimal controllers: a dynamical motion primitive approach
Real-time computation of optimal control is a challenging problem and, t...
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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...
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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...
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03/04/2023
Traffic State Estimation with Anisotropic Gaussian Processes from Vehicle Trajectories
Accurately monitoring road traffic state and speed is crucial for variou...
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02/27/2023
Criticality-Enhanced Quantum Sensing in the Anisotropic Quantum Rabi Model
Quantum systems that undergo quantum phase transitions exhibit divergent...
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01/30/2023
Designing Ad Auctions with Private Constraints for Automated Bidding
In online advertising, automated bidding (auto-bidding) has become a wid...
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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...
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12/20/2022
evoML Yellow Paper: Evolutionary AI and Optimisation Studio
Machine learning model development and optimisation can be a rather cumb...
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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...
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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...
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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...
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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...
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09/19/2022
Learning Optimal Deterministic Auctions with Correlated Valuation Distributions
In mechanism design, it is challenging to design the optimal auction wit...
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09/01/2022
Online Data Selection for Federated Learning with Limited Storage
Machine learning models have been deployed in mobile networks to deal wi...
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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...
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06/26/2022
Malware Detection and Prevention using Artificial Intelligence Techniques
With the rapid technological advancement, security has become a major is...
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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)...
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04/08/2022
Clone Detection on Large Scala Codebases
Code clones are identical or similar code segments. The wide existence o...
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02/09/2022
Vertical Federated Learning: Challenges, Methodologies and Experiments
Recently, federated learning (FL) has emerged as a promising distributed...
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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...
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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...
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11/10/2021
On Designing a Two-stage Auction for Online Advertising
For the scalability of industrial online advertising systems, a two-stag...
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08/25/2021
Normal Learning in Videos with Attention Prototype Network
Frame reconstruction (current or future frame) based on Auto-Encoder (AE...
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08/24/2021
Data-Free Evaluation of User Contributions in Federated Learning
Federated learning (FL) trains a machine learning model on mobile device...
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08/14/2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Graph structured data have enabled several successful applications such ...
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08/03/2021
Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles
The emergence of Intelligent Connected Vehicles (ICVs) shows great poten...
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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...
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06/17/2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
We present the first framework of Certifying Robust Policies for reinfor...
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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...
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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...
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05/28/2021
Implicit Regularization in Matrix Sensing via Mirror Descent
We study discrete-time mirror descent applied to the unregularized empir...
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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...
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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 ...
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04/15/2021
Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
Unmanned aerial vehicles (UAVs), or say drones, are envisioned to suppor...
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03/20/2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Recent success of deep neural networks (DNNs) hinges on the availability...
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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...
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01/11/2021
FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis
Android is currently the most extensively used smartphone platform in th...
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12/20/2020
Toward Understanding the Influence of Individual Clients in Federated Learning
Federated learning allows mobile clients to jointly train a global model...
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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...
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11/08/2020
The Twelvefold Way of Non-Sequential Lossless Compression
Many information sources are not just sequences of distinguishable symbo...
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10/20/2020
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
We analyze continuous-time mirror descent applied to sparse phase retrie...
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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...
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09/10/2020
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning
Hyperparameter optimisation is a crucial process in searching the optima...
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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 ...
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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...
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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 ...
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06/01/2020