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08/15/2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Edge Intelligence (EI) allows Artificial Intelligence (AI) applications ...
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07/28/2023
Beating Backdoor Attack at Its Own Game
Deep neural networks (DNNs) are vulnerable to backdoor attack, which doe...
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07/14/2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout
Federated Learning (FL) emerges as a distributed machine learning paradi...
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06/12/2023
Least-Squares Neural Network (LSNN) Method For Linear Advection-Reaction Equation: Non-constant Jumps
The least-squares ReLU neural network method (LSNN) was introduced and s...
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05/24/2023
Deep Ritz Method with Adaptive Quadrature for Linear Elasticity
In this paper, we study the deep Ritz method for solving the linear elas...
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04/12/2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization
In the federated learning scenario, geographically distributed clients c...
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03/31/2023
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation
Benefiting from the sequence-level knowledge distillation, the Non-Autor...
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03/07/2023
Resource-aware Probability-based Collaborative Odor Source Localization Using Multiple UAVs
Benefitting from UAVs' characteristics of flexible deployment and contro...
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02/17/2023
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting
Traffic flow forecasting (TFF) is of great importance to the constructio...
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01/15/2023
Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: General Discontinuous Interface
We studied the least-squares ReLU neural network method (LSNN) for solvi...
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01/14/2023
Survey of Knowledge Distillation in Federated Edge Learning
The increasing demand for intelligent services and privacy protection of...
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01/07/2023
A Personalized Utterance Style (PUS) based Dialogue Strategy for Efficient Service Requirement Elicitation
With the flourish of services on the Internet, a prerequisite for servic...
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01/01/2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
The growing interest in intelligent services and privacy protection for ...
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10/12/2022
THUEE system description for NIST 2020 SRE CTS challenge
This paper presents the system description of the THUEE team for the NIS...
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09/23/2022
The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022
This paper describes speaker verification (SV) systems submitted by the ...
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09/22/2022
The SpeakIn System Description for CNSRC2022
This report describes our speaker verification systems for the tasks of ...
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09/18/2022
Imbalanced Nodes Classification for Graph Neural Networks Based on Valuable Sample Mining
Node classification is an important task in graph neural networks, but m...
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08/25/2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization
Federated learning (FL) aims to learn joint knowledge from a large scale...
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07/23/2022
FastATDC: Fast Anomalous Trajectory Detection and Classification
Automated detection of anomalous trajectories is an important problem wi...
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05/17/2022
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
Ultrasonography is an important routine examination for breast cancer di...
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04/14/2022
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation
Federated learning (FL) is a distributed machine learning paradigm in wh...
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04/03/2022
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
We approach the problem of high-DOF reaching-and-grasping via learning j...
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02/25/2022
Bidding Agent Design in the LinkedIn Ad Marketplace
We establish a general optimization framework for the design of automate...
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01/27/2022
The MSXF TTS System for ICASSP 2022 ADD Challenge
This paper presents our MSXF TTS system for Task 3.1 of the Audio Deep S...
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11/29/2021
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension
In this paper, we consider recovering n dimensional signals from m binar...
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11/23/2021
A Global Two-stage Algorithm for Non-convex Penalized High-dimensional Linear Regression Problems
By the asymptotic oracle property, non-convex penalties represented by m...
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10/21/2021
Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws
In [4], we introduced the least-squares ReLU neural network (LSNN) metho...
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10/19/2021
Rep Works in Speaker Verification
Multi-branch convolutional neural network architecture has raised lots o...
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10/11/2021
Multi-query multi-head attention pooling and Inter-topK penalty for speaker verification
This paper describes the multi-query multi-head attention (MQMHA) poolin...
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10/10/2021
Poformer: A simple pooling transformer for speaker verification
Most recent speaker verification systems are based on extracting speaker...
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09/18/2021
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
Recovering sparse signals from observed data is an important topic in si...
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09/08/2021
Beijing ZKJ-NPU Speaker Verification System for VoxCeleb Speaker Recognition Challenge 2021
In this report, we describe the Beijing ZKJ-NPU team submission to the V...
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09/08/2021
Joint Search of Optimal Topology and Trajectory for Planar Linkages
We present an algorithm to compute planar linkage topology and geometry,...
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09/07/2021
Self-adaptive deep neural network: Numerical approximation to functions and PDEs
Designing an optimal deep neural network for a given task is important a...
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09/05/2021
The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021
This report describes our submission to the track 1 and track 2 of the V...
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08/23/2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
The success of deep neural networks (DNNs) haspromoted the widespread ap...
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07/19/2021
Adaptive Two-Layer ReLU Neural Network: I. Best Least-squares Approximation
In this paper, we introduce adaptive neuron enhancement (ANE) method for...
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07/14/2021
Adaptive Two-Layer ReLU Neural Network: II. Ritz Approximation to Elliptic PDEs
In this paper, we study adaptive neuron enhancement (ANE) method for sol...
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06/09/2021
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment
Face recognition has made significant progress in recent years due to de...
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05/25/2021
Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation
This paper studies least-squares ReLU neural network method for solving ...
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05/25/2021
Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law
We introduced the least-squares ReLU neural network (LSNN) method for so...
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12/16/2020
Trustworthy Online Marketplace Experimentation with Budget-split Design
Online experimentation, also known as A/B testing, is the gold standard ...
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11/02/2020
Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss
Due to the limitation of strong-labeled sound event detection data set, ...
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09/03/2020
User Intention Recognition and Requirement Elicitation Method for Conversational AI Services
In recent years, chat-bot has become a new type of intelligent terminal ...
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07/21/2020
Guided multi-branch learning systems for DCASE 2020 Task 4
In this paper, we describe in detail our systems for DCASE 2020 Task 4. ...
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07/21/2020
Learning Person Re-identification Models from Videos with Weak Supervision
Most person re-identification methods, being supervised techniques, suff...
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02/04/2020
Deep Differentiable Grasp Planner for High-DOF Grippers
We present an end-to-end algorithm for training deep neural networks to ...
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11/05/2019
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs
This paper studies an unsupervised deep learning-based numerical approac...
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09/12/2019
New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning
We present a two-level branch-and-bound (BB) algorithm to compute the gl...
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09/12/2019