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08/10/2023
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error
This paper studies Byzantine-robust stochastic optimization over a decen...
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03/22/2023
P^3O: Transferring Visual Representations for Reinforcement Learning via Prompting
It is important for deep reinforcement learning (DRL) algorithms to tran...
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03/22/2023
Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
Reliable localization is crucial for autonomous robots to navigate effic...
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01/11/2023
A note on constructions of bent functions
Recently, Li et al. presented a generic construction of bent functions i...
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11/07/2022
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
Tensor program tuning is a non-convex objective optimization problem, to...
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08/31/2022
PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM
Simultaneous localization and mapping (SLAM) based on laser sensors has ...
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08/08/2022
Minimal Binary Linear Codes from Vectorial Boolean Functions
Recently, much progress has been made to construct minimal linear codes ...
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06/07/2022
Distributionally Invariant Learning: Rationalization and Practical Algorithms
The invariance property across environments is at the heart of invariant...
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08/13/2021
Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model
Deep reinforcement learning (DRL) algorithms have proven effective in ro...
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05/28/2021
Two-level overlapping Schwarz methods based on local generalized eigenproblems for Hermitian variational problems
The research of two-level overlapping Schwarz (TL-OS) method based on co...
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01/27/2021
Constructing new APN functions through relative trace functions
In 2020, Budaghyan, Helleseth and Kaleyski [IEEE TIT 66(11): 7081-7087, ...
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01/26/2021
Discontinuous Galerkin methods for semilinear elliptic boundary value problem
A discontinuous Galerkin (DG) scheme for solving semilinear elliptic pro...
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09/17/2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
We propose a Byzantine-robust variance-reduced stochastic gradient desce...
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05/12/2020
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks
In this paper, we consider the Byzantine-robust stochastic optimization ...
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04/08/2020
Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data
Due to recent technological advances, large brain imaging data sets can ...
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10/17/2019
Estimating Spatially-Smoothed Fiber Orientation Distribution
Diffusion-weighted magnetic resonance imaging (D-MRI) is an in-vivo and ...
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09/10/2019
Adaptive-Multilevel BDDC algorithm for three-dimensional plane wave Helmholtz systems
In this paper we are concerned with the weighted plane wave least-square...
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05/25/2019
Constructing vectorial bent functions via second-order derivatives
Let n be an even positive integer, and m<n be one of its positive diviso...
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05/25/2019
On constructions and properties of (n,m)-functions with maximal number of bent components
For any positive integers n=2k and m such that m≥ k, in this paper we sh...
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04/11/2018