research
∙
08/24/2023
Linear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients
This article investigates the weak approximation towards the invariant m...
share
research
∙
08/20/2023
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
Multi-turn textual feedback-based fashion image retrieval focuses on a r...
research
∙
07/26/2023
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
The precision of unsupervised point cloud registration methods is typica...
research
∙
07/18/2023
Emotional Intelligence of Large Language Models
Large Language Models (LLMs) have demonstrated remarkable abilities acro...
research
∙
07/04/2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
In this paper, we investigate the training process of generative network...
research
∙
06/19/2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
Fine-tuning has been proven to be a simple and effective technique to tr...
research
∙
06/15/2023
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal
Image restoration under adverse weather conditions (e.g., rain, snow and...
research
∙
06/15/2023
On approximation of solutions of stochastic delay differential equations via randomized Euler scheme
We investigate existence, uniqueness and approximation of solutions to s...
research
∙
06/11/2023
Order-One Convergence of the Backward Euler Method for Random Periodic Solutions of Semilinear SDEs
In this paper, we revisit the backward Euler method for numerical approx...
research
∙
06/01/2023
A Neural RDE-based model for solving path-dependent PDEs
The concept of the path-dependent partial differential equation (PPDE) w...
research
∙
05/24/2023
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning
Open-world survival games pose significant challenges for AI algorithms ...
research
∙
05/18/2023
NODE-ImgNet: a PDE-informed effective and robust model for image denoising
Inspired by the traditional partial differential equation (PDE) approach...
research
∙
05/18/2023
Multi-spectral Class Center Network for Face Manipulation Detection and Localization
As Deepfake contents continue to proliferate on the internet, advancing ...
research
∙
05/15/2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
Recently, there has been remarkable progress in reinforcement learning (...
research
∙
05/15/2023
Fusion Blossom: Fast MWPM Decoders for QEC
The Minimum-Weight Perfect Matching (MWPM) decoder is widely used in Qua...
research
∙
05/03/2023
Plan, Eliminate, and Track – Language Models are Good Teachers for Embodied Agents
Pre-trained large language models (LLMs) capture procedural knowledge ab...
research
∙
05/01/2023
Personalized Federated Learning under Mixture of Distributions
The recent trend towards Personalized Federated Learning (PFL) has garne...
research
∙
04/21/2023
Score-based Transport Modeling for Mean-Field Fokker-Planck Equations
We use the score-based transport modeling method to solve the mean-field...
research
∙
03/19/2023
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space
In this paper, we propose a novel approach to generative modeling using ...
research
∙
03/15/2023
Borda Regret Minimization for Generalized Linear Dueling Bandits
Dueling bandits are widely used to model preferential feedback that is p...
research
∙
02/09/2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
High sample complexity has long been a challenge for RL. On the other ha...
research
∙
01/20/2023
Scalable Quantum Error Correction for Surface Codes using FPGA
A fault-tolerant quantum computer must decode and correct errors faster ...
research
∙
12/19/2022
Imaging an acoustic obstacle and its excitation sources from phaseless near-field data
This paper is concerned with reconstructing an acoustic obstacle and its...
research
∙
12/02/2022
Avoiding spurious correlations via logit correction
Empirical studies suggest that machine learning models trained with empi...
research
∙
11/23/2022
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground
Deep neural networks for video action recognition easily learn to utiliz...
research
∙
11/20/2022
How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation
Sarcasm generation has been investigated in previous studies by consider...
research
∙
11/14/2022
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
In recent years, research on hyperspectral image (HSI) classification ha...
research
∙
11/03/2022
Sybil-Proof Diffusion Auction in Social Networks
A diffusion auction is a market to sell commodities over a social networ...
research
∙
11/01/2022
Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks
As an excellent tool for aiding communication, intelligent reflecting su...
research
∙
10/31/2022
Random Walk-based Community Key-members Search over Large Graphs
Given a graph G, a query node q, and an integer k, community search (CS)...
research
∙
10/11/2022
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach
The empirical studies of Graph Neural Networks (GNNs) broadly take the o...
research
∙
08/25/2022
Turning Mathematics Problems into Games: Reinforcement Learning and Gröbner bases together solve Integer Feasibility Problems
Can agents be trained to answer difficult mathematical questions by play...
research
∙
08/04/2022
Towards Understanding Mixture of Experts in Deep Learning
The Mixture-of-Experts (MoE) layer, a sparsely-activated model controlle...
research
∙
07/10/2022
Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks
A surge of interest in Graph Convolutional Networks (GCN) has produced t...
research
∙
06/20/2022
The backward Euler-Maruyama method for invariant measures of stochastic differential equations with super-linear coefficients
The backward Euler-Maruyama (BEM) method is employed to approximate the ...
research
∙
06/12/2022
Geometric Policy Iteration for Markov Decision Processes
Recently discovered polyhedral structures of the value function for fini...
research
∙
05/30/2022
Prompt-aligned Gradient for Prompt Tuning
Thanks to the large pre-trained vision-language models (VLMs) like CLIP,...
research
∙
05/24/2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
As a national critical infrastructure, the smart grid has attracted wide...
research
∙
05/06/2022
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism
Registration of multi-view point clouds is fundamental in 3D reconstruct...
research
∙
04/05/2022
Real-time Online Multi-Object Tracking in Compressed Domain
Recent online Multi-Object Tracking (MOT) methods have achieved desirabl...
research
∙
01/26/2022
DoF of a Cooperative X-Channel with an Application to Distributed Computing
We consider a cooperative X-channel with K transmitters (TXs) and K rece...
research
∙
12/26/2021
A direct imaging method for the exterior and interior inverse scattering problems
This paper is concerned with the inverse acoustic scattering problems by...
research
∙
11/28/2021
The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations
In this paper, we study the numerical method for approximating the rando...
research
∙
11/07/2021
Riesz transform associated with the fractional Fourier transform and applications
Since Zayed <cit.> introduced the fractional Hilbert transform related t...
research
∙
10/29/2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
Distributed multi-party learning provides an effective approach for trai...
research
∙
10/15/2021
Towards fast weak adversarial training to solve high dimensional parabolic partial differential equations using XNODE-WAN
Due to the curse of dimensionality, solving high dimensional parabolic p...
research
∙
10/08/2021
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons
In heterogeneous rank aggregation problems, users often exhibit various ...
research
∙
07/21/2021
Demonstration-Guided Reinforcement Learning with Learned Skills
Demonstration-guided reinforcement learning (RL) is a promising approach...
research
∙
06/05/2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Pruning is a model compression method that removes redundant parameters ...
research
∙
05/28/2021