b'Yue Wu'

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...

0 Chenxu Pang, et al. ∙

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...

0 Anwesan Pal, et al. ∙

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...

0 Yongzhe Yuan, et al. ∙

research

∙ 07/18/2023

Emotional Intelligence of Large Language Models

Large Language Models (LLMs) have demonstrated remarkable abilities acro...

0 Xuena Wang, et al. ∙

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...

0 Chuqi Chen, et al. ∙

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...

0 Junhao Zheng, et al. ∙

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...

0 Zhentao Tan, et al. ∙

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...

0 Paweł Przybyłowicz, et al. ∙

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...

0 Yujia Guo, et al. ∙

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...

0 Bowen Fang, et al. ∙

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 ...

0 Yue Wu, et al. ∙

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...

0 Xinheng Xie, et al. ∙

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 ...

0 Changtao Miao, et al. ∙

research

∙ 05/15/2023

Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension

Recently, there has been remarkable progress in reinforcement learning (...

1 Yue Wu, et al. ∙

research

∙ 05/15/2023

Fusion Blossom: Fast MWPM Decoders for QEC

The Minimum-Weight Perfect Matching (MWPM) decoder is widely used in Qua...

0 Yue Wu, et al. ∙

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...

0 Yue Wu, et al. ∙

research

∙ 05/01/2023

Personalized Federated Learning under Mixture of Distributions

The recent trend towards Personalized Federated Learning (PFL) has garne...

2 Yue Wu, et al. ∙

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...

0 Jianfeng Lu, et al. ∙

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 ...

0 Chuqi Chen, et al. ∙

research

∙ 03/15/2023

Borda Regret Minimization for Generalized Linear Dueling Bandits

Dueling bandits are widely used to model preferential feedback that is p...

4 Yue Wu, et al. ∙

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...

0 Yue Wu, et al. ∙

research

∙ 01/20/2023

Scalable Quantum Error Correction for Surface Codes using FPGA

A fault-tolerant quantum computer must decode and correct errors faster ...

0 Namitha Liyanage, et al. ∙

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...

0 Deyue Zhang, et al. ∙

research

∙ 12/02/2022

Avoiding spurious correlations via logit correction

Empirical studies suggest that machine learning models trained with empi...

10 Sheng Liu, et al. ∙

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...

0 Haoxin Li, et al. ∙

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...

0 Jie Ruan, et al. ∙

research

∙ 11/14/2022

Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification

In recent years, research on hyperspectral image (HSI) classification ha...

10 Mingyang Zhang, et al. ∙

research

∙ 11/03/2022

Sybil-Proof Diffusion Auction in Social Networks

A diffusion auction is a market to sell commodities over a social networ...

0 Hongyin Chen, et al. ∙

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...

0 Yeqing Lin, et al. ∙

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)...

0 Yuxiang Wang, et al. ∙

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...

7 Xiaolong Fan, et al. ∙

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...

5 Yue Wu, et al. ∙

research

∙ 08/04/2022

Towards Understanding Mixture of Experts in Deep Learning

The Mixture-of-Experts (MoE) layer, a sparsely-activated model controlle...

27 Zixiang Chen, et al. ∙

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...

0 Minji Yoon, et al. ∙

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 ...

0 Wei Liu, et al. ∙

research

∙ 06/12/2022

Geometric Policy Iteration for Markov Decision Processes

Recently discovered polyhedral structures of the value function for fini...

9 Yue Wu, et al. ∙

research

∙ 05/30/2022

Prompt-aligned Gradient for Prompt Tuning

Thanks to the large pre-trained vision-language models (VLMs) like CLIP,...

0 Beier Zhu, et al. ∙

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...

0 Tianming Zheng, et al. ∙

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...

3 Yue Wu, et al. ∙

research

∙ 04/05/2022

Real-time Online Multi-Object Tracking in Compressed Domain

Recent online Multi-Object Tracking (MOT) methods have achieved desirabl...

0 Qiankun Liu, et al. ∙

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...

0 Yue Bi, et al. ∙

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...

0 Deyue Zhang, et al. ∙

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...

0 Yue Wu, et al. ∙

research

∙ 11/07/2021

Riesz transform associated with the fractional Fourier transform and applications

Since Zayed <cit.> introduced the fractional Hilbert transform related t...

0 Zunwei Fu, et al. ∙

research

∙ 10/29/2021

ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning

Distributed multi-party learning provides an effective approach for trai...

7 Maoguo Gong, et al. ∙

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...

0 Paul Valsecchi Oliva, et al. ∙

research

∙ 10/08/2021

Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons

In heterogeneous rank aggregation problems, users often exhibit various ...

6 Yue Wu, et al. ∙

research

∙ 07/21/2021

Demonstration-Guided Reinforcement Learning with Learned Skills

Demonstration-guided reinforcement learning (RL) is a promising approach...

0 Karl Pertsch, et al. ∙

research

∙ 06/05/2021

Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks

Pruning is a model compression method that removes redundant parameters ...

0 Yue Wu, et al. ∙

research

∙ 05/28/2021

Generalized Permutation Framework for Testing Model Variable Significance

A common problem in machine learning is determining if a variable signif...

0 Yue Wu, et al. ∙

Yue Wu

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