b'Yifei Wang'

research

∙ 09/12/2023

Digital Twin System for Home Service Robot Based on Motion Simulation

In order to improve the task execution capability of home service robot,...

0 Zhengsong Jiang, et al. ∙

research

∙ 08/29/2023

Robust Long-Tailed Learning via Label-Aware Bounded CVaR

Data in the real-world classification problems are always imbalanced or ...

0 Hong Zhu, et al. ∙

research

∙ 08/16/2023

On fusogenicity of positively charged phased-separated lipid vesicles: experiments and computational simulations

This paper studies the fusogenicity of cationic liposomes in relation to...

0 Yifei Wang, et al. ∙

research

∙ 06/07/2023

On the Generalization of Multi-modal Contrastive Learning

Multi-modal contrastive learning (MMCL) has recently garnered considerab...

4 Qi Zhang, et al. ∙

research

∙ 05/29/2023

Counterpart Fairness – Addressing Systematic between-group Differences in Fairness Evaluation

When using machine learning (ML) to aid decision-making, it is critical ...

3 Yifei Wang, et al. ∙

research

∙ 05/16/2023

Contrastive Label Enhancement

Label distribution learning (LDL) is a new machine learning paradigm for...

5 Yifei Wang, et al. ∙

research

∙ 03/12/2023

ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond

Oversmoothing is a common phenomenon in a wide range of Graph Neural Net...

1 Xiaojun Guo, et al. ∙

research

∙ 03/08/2023

A Message Passing Perspective on Learning Dynamics of Contrastive Learning

In recent years, contrastive learning achieves impressive results on sel...

8 Yifei Wang, et al. ∙

research

∙ 03/04/2023

Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism

Recently, a variety of methods under the name of non-contrastive learnin...

0 Zhijian Zhuo, et al. ∙

research

∙ 03/02/2023

Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning

Recent works have shown that self-supervised learning can achieve remark...

9 Rundong Luo, et al. ∙

research

∙ 02/28/2023

Multi-view Semantic Consistency based Information Bottleneck for Clustering

Multi-view clustering can make use of multi-source information for unsup...

10 Wenbiao Yan, et al. ∙

research

∙ 02/26/2023

MCoCo: Multi-level Consistency Collaborative Multi-view Clustering

Multi-view clustering can explore consistent information from different ...

8 Yiyang Zhou, et al. ∙

research

∙ 02/12/2023

USER: Unsupervised Structural Entropy-based Robust Graph Neural Network

Unsupervised/self-supervised graph neural networks (GNN) are vulnerable ...

10 Yifei Wang, et al. ∙

research

∙ 12/18/2022

On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization

Despite impressive success in many tasks, deep learning models are shown...

0 Shiji Xin, et al. ∙

research

∙ 11/01/2022

Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits

In the infinite-armed bandit problem, each arm's average reward is sampl...

0 Yifei Wang, et al. ∙

research

∙ 10/15/2022

How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders

Masked Autoencoders (MAE) based on a reconstruction task have risen to b...

5 Qi Zhang, et al. ∙

research

∙ 10/14/2022

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture

Vision Transformers (ViTs) have recently achieved competitive performanc...

0 Yichuan Mo, et al. ∙

research

∙ 10/13/2022

Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors

Deep models often fail to generalize well in test domains when the data ...

0 Qixun Wang, et al. ∙

research

∙ 09/30/2022

Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery

The practice of deep learning has shown that neural networks generalize ...

21 Yifei Wang, et al. ∙

research

∙ 08/09/2022

Motif-based Graph Representation Learning with Application to Chemical Molecules

This work considers the task of representation learning on the attribute...

11 Yifei Wang, et al. ∙

research

∙ 06/29/2022

Optimization-Induced Graph Implicit Nonlinear Diffusion

Due to the over-smoothing issue, most existing graph neural networks can...

3 Qi Chen, et al. ∙

research

∙ 06/02/2022

A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion

Videos can be easily tampered, copied and redistributed by attackers for...

0 Yifei Wang, et al. ∙

research

∙ 04/19/2022

A stochastic Stein Variational Newton method

Stein variational gradient descent (SVGD) is a general-purpose optimizat...

7 Alex Leviyev, et al. ∙

research

∙ 04/15/2022

Knowledgebra: An Algebraic Learning Framework for Knowledge Graph

Knowledge graph (KG) representation learning aims to encode entities and...

12 Tong Yang, et al. ∙

research

∙ 03/25/2022

Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap

Recently, contrastive learning has risen to be a promising approach for ...

6 Yifei Wang, et al. ∙

research

∙ 03/25/2022

A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training

Adversarial Training (AT) is known as an effective approach to enhance t...

3 Yifei Wang, et al. ∙

research

∙ 11/19/2021

Fooling Adversarial Training with Inducing Noise

Adversarial training is widely believed to be a reliable approach to imp...

0 Zhirui Wang, et al. ∙

research

∙ 10/28/2021

Residual Relaxation for Multi-view Representation Learning

Multi-view methods learn representations by aligning multiple views of t...

4 Yifei Wang, et al. ∙

research

∙ 10/13/2021

The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program

We study non-convex subgradient flows for training two-layer ReLU neural...

25 Yifei Wang, et al. ∙

research

∙ 10/13/2021

Parallel Deep Neural Networks Have Zero Duality Gap

Training deep neural networks is a well-known highly non-convex problem....

5 Yifei Wang, et al. ∙

research

∙ 10/12/2021

Predicting the Stereoselectivity of Chemical Transformations by Machine Learning

Stereoselective reactions (both chemical and enzymatic reactions) have b...

0 Justin Li, et al. ∙

research

∙ 07/01/2021

Reparameterized Sampling for Generative Adversarial Networks

Recently, sampling methods have been successfully applied to enhance the...

0 Yifei Wang, et al. ∙

research

∙ 05/15/2021

Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality

We propose a randomized algorithm with quadratic convergence rate for co...

6 Jonathan Lacotte, et al. ∙

research

∙ 02/22/2021

Dissecting the Diffusion Process in Linear Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have attracted more and more attenti...

0 Yifei Wang, et al. ∙

research

∙ 08/05/2020

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

Industrial sponsored search system (SSS) can be logically divided into t...

0 Yijiang Lian, et al. ∙

research

∙ 07/02/2020

Decoder-free Robustness Disentanglement without (Additional) Supervision

Adversarial Training (AT) is proposed to alleviate the adversarial vulne...

0 Yifei Wang, et al. ∙

research

∙ 06/25/2020

Experimental validation of a phase-field model to predict coarsening dynamics of lipid domains in multicomponent membranes

Membrane phase-separation is a mechanism that biological membranes often...

0 Alexander Zhiliakov, et al. ∙

research

∙ 11/01/2019

Regularized Non-negative Spectral Embedding for Clustering

Spectral Clustering is a popular technique to split data points into gro...

0 Yifei Wang, et al. ∙

research

∙ 09/04/2019

Accelerated Information Gradient flow

We present a systematic framework for the Nesterov's accelerated gradien...

1 Yifei Wang, et al. ∙

research

∙ 07/13/2017

Deep Domain Adaptation by Geodesic Distance Minimization

In this paper, we propose a new approach called Deep LogCORAL for unsupe...

0 Yifei Wang, et al. ∙

Yifei Wang

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