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08/18/2023
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
Foundation models (FMs) have exhibited remarkable performance across a w...
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08/07/2023
Local Structure-aware Graph Contrastive Representation Learning
Traditional Graph Neural Network (GNN), as a graph representation learni...
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07/25/2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Distributionally Robust Optimization (DRO), which aims to find an optima...
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06/06/2023
MolFM: A Multimodal Molecular Foundation Model
Molecular knowledge resides within three different modalities of informa...
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04/19/2023
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
The research fields of parametric face models and 3D face reconstruction...
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04/17/2023
Empowering AI drug discovery with explicit and implicit knowledge
Motivation: Recently, research on independently utilizing either explici...
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03/14/2023
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
Several approximate inference methods have been proposed for deep discre...
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02/07/2023
Unsupervised Deep Learning for IoT Time Series
IoT time series analysis has found numerous applications in a wide varie...
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01/30/2023
The Meta Distribution of SINR in UAV-Assisted Cellular Networks
Mounting compact and lightweight base stations on unmanned aerial vehicl...
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12/20/2022
Asynchronous Distributed Bilevel Optimization
Bilevel optimization plays an essential role in many machine learning ta...
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12/01/2022
AI Empowered Net-RCA for 6G
6G is envisioned to offer higher data rate, improved reliability, ubiqui...
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11/08/2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Autonomous driving confronts great challenges in complex traffic scenari...
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10/14/2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Distributionally Robust Optimization (DRO), which aims to find an optima...
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09/06/2022
SIND: A Drone Dataset at Signalized Intersection in China
Intersection is one of the most challenging scenarios for autonomous dri...
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09/05/2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Anomaly detection with only prior knowledge from normal samples attracts...
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08/13/2022
Trustworthy Federated Learning via Blockchain
The safety-critical scenarios of artificial intelligence (AI), such as a...
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07/17/2022
Task-aware Similarity Learning for Event-triggered Time Series
Time series analysis has achieved great success in diverse applications ...
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06/08/2022
A Unified Model for Multi-class Anomaly Detection
Despite the rapid advance of unsupervised anomaly detection, existing me...
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04/07/2022
Heterogeneous Ultra-Dense Networks with Traffic Hotspots: A Unified Handover Analysis
With the ever-growing communication demands and the unceasing miniaturiz...
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04/03/2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging
Federated learning, conducive to solving data privacy and security probl...
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02/02/2022
Well-posedness and dynamics of solutions to the generalized KdV with low power nonlinearity
We consider two types of the generalized Korteweg - de Vries equation, w...
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01/22/2022
Iterative Correlation-based Feature Refinement for Few-shot Counting
Few-shot counting aims to count objects of any class in an image given o...
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12/08/2021
Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost
More and more orgainizations and institutions make efforts on using exte...
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08/30/2021
High order conservative schemes for the generalized Benjamin-Ono equation in the unbounded domain
This paper proposes a new class of mass or energy conservative numerical...
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05/20/2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
The increasing concerns about data privacy and security drives the emerg...
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04/15/2021
SiamCorners: Siamese Corner Networks for Visual Tracking
The current Siamese network based on region proposal network (RPN) has a...
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04/12/2021
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations
We collaborate with a large teaching hospital in Shenzhen, China and bui...
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03/29/2021
Higher dimensional generalization of the Benjamin-Ono equation: 2D case
We consider a higher-dimensional version of the Benjamin-Ono (HBO) equat...
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03/25/2021
Arbitrarily high-order conservative schemes for the generalized Korteweg-de Vries equation
This paper proposes a new class of arbitarily high-order conservative nu...
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02/03/2021
Interaction with an obstacle in the 2d focusing nonlinear Schrödinger equation
We present a numerical study of solutions to the 2d focusing nonlinear S...
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12/06/2020
Dynamics of solutions in the generalized Benjamin-Ono equation: a numerical study
We consider the generalized Benjamin-Ono (gBO) equation on the real line...
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10/04/2020
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Multivariate time series (MTS) data are becoming increasingly ubiquitous...
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09/22/2020
Improving Convergence for Nonconvex Composite Programming
High-dimensional nonconvex problems are popular in today's machine learn...
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08/03/2020
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
In this paper, we present a Large-Scale and high-diversity general Therm...
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06/18/2020
Behavior of solutions to the 1D focusing stochastic nonlinear Schrödinger equation with spatially correlated noise
We study the focusing stochastic nonlinear Schrödinger equation in one s...
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05/28/2020
Behavior of solutions to the 1D focusing stochastic L^2-critical and supercritical nonlinear Schrödinger equation with space-time white noise
We study the focusing stochastic nonlinear Schrödinger equation in 1D in...
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04/28/2020
Communication-Efficient Edge AI Inference Over Wireless Networks
Given the fast growth of intelligent devices, it is expected that a larg...
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04/13/2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Intelligent Internet-of-Things (IoT) will be transformative with the adv...
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02/22/2020
Communication-Efficient Edge AI: Algorithms and Systems
Artificial intelligence (AI) has achieved remarkable breakthroughs in a ...
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02/14/2020
Stable blow-up dynamics in the L^2-critical and L^2-supercritical generalized Hartree equation
We study stable blow-up dynamics in the generalized Hartree equation wit...
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01/22/2020
Robust block preconditioners for poroelasticity
In this paper we study the linear systems arising from discretized poroe...
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12/23/2019
Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO with Lens-Array
Channel estimation (CE) for millimeter-wave (mmWave) lens-array suffers ...
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12/02/2019
Reconfigurable Intelligent Surface for Green Edge Inference
Reconfigurable intelligent surface (RIS) as an emerging cost-effective t...
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12/01/2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Data privacy and security becomes a major concern in building machine le...
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11/18/2019
Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set
In this paper, we propose a novel primal-dual inexact gradient projectio...
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09/16/2019
Coverage Analysis of Integrated Sub-6GHz-mmWave Cellular Networks with Hotspots
Deploying Sub-6GHz networks together with millimeter wave (mmWave) is a ...
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07/29/2019
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference
Edge machine learning can deliver low-latency and private artificial int...
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03/14/2019
Hadoop Perfect File: A fast access container for small files with direct in disc metadata access
Storing and processing massive small files is one of the major challenge...
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03/10/2019
Group-wise Correlation Stereo Network
Stereo matching estimates the disparity between a rectified image pair, ...
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12/31/2018