b'Ping Li'

research

∙ 05/30/2023

Does Conceptual Representation Require Embodiment? Insights From Large Language Models

Recent advances in large language models (LLM) have the potential to she...

0 Qihui Xu, et al. ∙

research

∙ 04/26/2023

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS)

To retrieve personalized campaigns and creatives while protecting user p...

0 Xinyi Zheng, et al. ∙

research

∙ 04/22/2023

Detecting Adversarial Faces Using Only Real Face Self-Perturbations

Adversarial attacks aim to disturb the functionality of a target system ...

0 Qian Wang, et al. ∙

research

∙ 04/20/2023

Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property

Nonconvex and nonsmooth optimization problems are important and challeng...

0 Yingzhen Yang, et al. ∙

research

∙ 04/16/2023

Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation

We propose the NeRF-LEBM, a likelihood-based top-down 3D-aware 2D image ...

2 Yaxuan Zhu, et al. ∙

research

∙ 03/21/2023

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning

Numerous research efforts have been made to stabilize the training of th...

1 fcq, et al. ∙

research

∙ 03/20/2023

Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators

This paper considers the sparse recovery with shuffled labels, i.e., = ...

0 Hang Zhang, et al. ∙

research

∙ 03/20/2023

AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models

It is a time-consuming and tedious work for manually colorizing anime li...

0 Yu Cao, et al. ∙

research

∙ 03/02/2023

Steering Graph Neural Networks with Pinning Control

In the semi-supervised setting where labeled data are largely limited, i...

0 Acong Zhang, et al. ∙

research

∙ 02/17/2023

Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks

Multiple recent studies show a paradox in graph convolutional networks (...

0 Acong Zhang, et al. ∙

research

∙ 02/07/2023

OPORP: One Permutation + One Random Projection

Consider two D-dimensional data vectors (e.g., embeddings): u, v. In man...

0 Ping Li, et al. ∙

research

∙ 01/23/2023

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference

We study a normalizing flow in the latent space of a top-down generator ...

0 Jianwen Xie, et al. ∙

research

∙ 01/09/2023

Exploration in Model-based Reinforcement Learning with Randomized Reward

Model-based Reinforcement Learning (MBRL) has been widely adapted due to...

0 Lingxiao Wang, et al. ∙

research

∙ 01/09/2023

Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation

The stochastic proximal point (SPP) methods have gained recent attention...

0 Xiao-Tong Yuan, et al. ∙

research

∙ 12/05/2022

Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence

Stochastic gradients closely relate to both optimization and generalizat...

0 Zeke Xie, et al. ∙

research

∙ 11/25/2022

Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression

In federated learning (FL) systems, e.g., wireless networks, the communi...

0 Xiaoyun Li, et al. ∙

research

∙ 11/25/2022

Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations

The formidable accomplishment of Transformers in natural language proces...

0 Tan Yu, et al. ∙

research

∙ 11/20/2022

R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition

Recently, vision architectures based exclusively on multi-layer perceptr...

0 Shuo Chen, et al. ∙

research

∙ 11/15/2022

On Penalization in Stochastic Multi-armed Bandits

We study an important variant of the stochastic multi-armed bandit (MAB)...

0 Guanhua Fang, et al. ∙

research

∙ 11/10/2022

Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19

Automated detecting lung infections from computed tomography (CT) data p...

5 Liansheng Wang, et al. ∙

research

∙ 11/01/2022

Asymmetric Hashing for Fast Ranking via Neural Network Measures

Fast item ranking is an important task in recommender systems. In previo...

0 Khoa Doan, et al. ∙

research

∙ 10/29/2022

A pruning method based on the dissimilarity of angle among channels and filters

Convolutional Neural Network (CNN) is more and more widely used in vario...

0 Jiayi Yao, et al. ∙

research

∙ 10/27/2022

Deep Latent Mixture Model for Recommendation

Recent advances in neural networks have been successfully applied to man...

0 Jun Zhang, et al. ∙

research

∙ 10/26/2022

Constrained Approximate Similarity Search on Proximity Graph

Search engines and recommendation systems are built to efficiently displ...

0 Weijie Zhao, et al. ∙

research

∙ 10/19/2022

Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models

Prompt learning is a new learning paradigm which reformulates downstream...

0 Yue Zhang, et al. ∙

research

∙ 10/18/2022

Denoising Enhanced Distantly Supervised Ultrafine Entity Typing

Recently, the task of distantly supervised (DS) ultra-fine entity typing...

0 Yue Zhang, et al. ∙

research

∙ 10/17/2022

Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class

In recent years, machine learning models have been shown to be vulnerabl...

0 Khoa D. Doan, et al. ∙

research

∙ 10/13/2022

Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning

APP-installation information is helpful to describe the user's character...

0 Tan Yu, et al. ∙

research

∙ 10/09/2022

CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing

Leveraging supervised information can lead to superior retrieval perform...

5 Khoa D. Doan, et al. ∙

research

∙ 09/27/2022

Neural Network Panning: Screening the Optimal Sparse Network Before Training

Pruning on neural networks before training not only compresses the origi...

17 Xiatao Kang, et al. ∙

research

∙ 09/23/2022

Boost CTR Prediction for New Advertisements via Modeling Visual Content

Existing advertisements click-through rate (CTR) prediction models are m...

1 Tan Yu, et al. ∙

research

∙ 09/19/2022

Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising

The advancement of the communication technology and the popularity of th...

9 Tan Yu, et al. ∙

research

∙ 08/29/2022

NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language

The recent privacy leakage incidences and the more strict policy regulat...

18 Faysal Hossain Shezan, et al. ∙

research

∙ 08/05/2022

Catoni-style Confidence Sequences under Infinite Variance

In this paper, we provide an extension of confidence sequences for setti...

2 Sujay Bhatt, et al. ∙

research

∙ 07/18/2022

Package for Fast ABC-Boost

This report presents the open-source package which implements the series...

2 Ping Li, et al. ∙

research

∙ 07/18/2022

pGMM Kernel Regression and Comparisons with Boosted Trees

In this work, we demonstrate the advantage of the pGMM (“powered general...

1 Ping Li, et al. ∙

research

∙ 07/05/2022

Best Subset Selection with Efficient Primal-Dual Algorithm

Best subset selection is considered the `gold standard' for many sparse ...

1 Shaogang Ren, et al. ∙

research

∙ 06/26/2022

k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy

When designing clustering algorithms, the choice of initial centers is c...

63 Chenglin Fan, et al. ∙

research

∙ 06/24/2022

Defending Backdoor Attacks on Vision Transformer via Patch Processing

Vision Transformers (ViTs) have a radically different architecture with ...

18 Khoa D. Doan, et al. ∙

research

∙ 06/23/2022

Regression with Label Permutation in Generalized Linear Model

The assumption that response and predictor belong to the same statistica...

0 Guanhua Fang, et al. ∙

research

∙ 06/23/2022

CGAR: Critic Guided Action Redistribution in Reinforcement Leaning

Training a game-playing reinforcement learning agent requires multiple i...

2 Tairan Huang, et al. ∙

research

∙ 06/22/2022

Offline Change Detection under Contamination

In this work, we propose a non-parametric and robust change detection al...

0 Sujay Bhatt, et al. ∙

research

∙ 06/22/2022

Noisy ℓ^0-Sparse Subspace Clustering on Dimensionality Reduced Data

Sparse subspace clustering methods with sparsity induced by ℓ^0-norm, su...

0 Yingzhen Yang, et al. ∙

research

∙ 06/22/2022

Proximity Graph Maintenance for Fast Online Nearest Neighbor Search

Approximate Nearest Neighbor (ANN) search is a fundamental technique for...

0 Zhaozhuo Xu, et al. ∙

research

∙ 06/16/2022

Planning through Workspace Constraint Satisfaction and Optimization

In this work, we present a workspace-based planning framework, which tho...

0 Weifu Wang, et al. ∙

research

∙ 06/16/2022

Planning and Formulations in Pursuit-Evasion: Keep-away Games and Their Strategies

We study a pursuit-evasion problem which can be viewed as an extension o...

0 Weifu Wang, et al. ∙

research

∙ 06/15/2022

Finding Control Synthesis for Kinematic Shortest Paths

This work presents the analysis of the properties of the shortest path c...

0 Weifu Wang, et al. ∙

research

∙ 06/13/2022

Towards Constructing Finer then Homotopy Path Classes

This work presents a new path classification criterion to distinguish pa...

0 Weifu Wang, et al. ∙

research

∙ 06/10/2022

On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond

The FedProx algorithm is a simple yet powerful distributed proximal poin...

0 Xiao-Tong Yuan, et al. ∙

research

∙ 06/08/2022

Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms

Exponential generalization bounds with near-tight rates have recently be...

10 Xiao-Tong Yuan, et al. ∙

Ping Li

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