b'Wei Zhu'

research

∙ 05/22/2023

Statistical Guarantees of Group-Invariant GANs

Group-invariant generative adversarial networks (GANs) are a type of GAN...

0 Ziyu Chen, et al. ∙

research

∙ 05/21/2023

F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks

Computational complexity and overthinking problems have become the bottl...

0 Xiangxiang Gao, et al. ∙

research

∙ 05/07/2023

Unified Demonstration Retriever for In-Context Learning

In-context learning is a new learning paradigm where a language model co...

0 Xiaonan Li, et al. ∙

research

∙ 03/15/2023

SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification

Recently, deep learning has produced encouraging results for kidney ston...

0 Wei Zhu, et al. ∙

research

∙ 03/07/2023

On the Implicit Bias of Linear Equivariant Steerable Networks: Margin, Generalization, and Their Equivalence to Data Augmentation

We study the implicit bias of gradient flow on linear equivariant steera...

0 Ziyu Chen, et al. ∙

research

∙ 02/03/2023

Sample Complexity of Probability Divergences under Group Symmetry

We rigorously quantify the improvement in the sample complexity of varia...

0 Ziyu Chen, et al. ∙

research

∙ 01/27/2023

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation

Non-autoregressive translation (NAT) model achieves a much faster infere...

0 Huanran Zheng, et al. ∙

research

∙ 12/22/2022

Sub-structure characteristic mode analysis of microstrip antennas using a global multi-trace formulation

A characteristic mode (CM) method that relies on a global multi-trace fo...

0 Ran Zhao, et al. ∙

research

∙ 08/09/2022

Improving Micro-video Recommendation by Controlling Position Bias

As the micro-video apps become popular, the numbers of micro-videos and ...

0 Yisong Yu, et al. ∙

research

∙ 07/26/2022

Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones

Medication for neurological diseases such as the Parkinson's disease usu...

0 Weijian Li, et al. ∙

research

∙ 07/24/2022

Explored An Effective Methodology for Fine-Grained Snake Recognition

Fine-Grained Visual Classification (FGVC) is a longstanding and fundamen...

0 Yong Huang, et al. ∙

research

∙ 06/16/2022

MAGIC: Microlensing Analysis Guided by Intelligent Computation

The modeling of binary microlensing light curves via the standard sampli...

0 Haimeng Zhao, et al. ∙

research

∙ 05/09/2022

Localized Adversarial Domain Generalization

Deep learning methods can struggle to handle domain shifts not seen in t...

0 Wei Zhu, et al. ∙

research

∙ 05/09/2022

Deep Federated Anomaly Detection for Multivariate Time Series Data

Despite the fact that many anomaly detection approaches have been develo...

0 Wei Zhu, et al. ∙

research

∙ 03/16/2022

Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning

Since open social platforms allow for a large and continuous flow of unv...

0 Yuhui Zuo, et al. ∙

research

∙ 02/02/2022

Structure-preserving GANs

Generative adversarial networks (GANs), a class of distribution-learning...

0 Jeremiah Birrell, et al. ∙

research

∙ 11/22/2021

Deformation Robust Roto-Scale-Translation Equivariant CNNs

Incorporating group symmetry directly into the learning process has prov...

0 Liyao Gao, et al. ∙

research

∙ 11/16/2021

Route Optimization via Environment-Aware Deep Network and Reinforcement Learning

Vehicle mobility optimization in urban areas is a long-standing problem ...

0 Pengzhan Guo, et al. ∙

research

∙ 09/15/2021

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis

Visual sentiment analysis has received increasing attention in recent ye...

0 Wei Zhu, et al. ∙

research

∙ 09/15/2021

Federated Learning of Molecular Properties in a Heterogeneous Setting

Chemistry research has both high material and computational costs to con...

15 Wei Zhu, et al. ∙

research

∙ 08/11/2021

Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization

Deep learning algorithms mine knowledge from the training data and thus ...

0 Wei Zhu, et al. ∙

research

∙ 01/02/2021

Lex-BERT: Enhancing BERT based NER with lexicons

In this work, we represent Lex-BERT, which incorporates the lexicon info...

0 Wei Zhu, et al. ∙

research

∙ 12/29/2020

CMV-BERT: Contrastive multi-vocab pretraining of BERT

In this work, we represent CMV-BERT, which improves the pretraining of a...

0 Wei Zhu, et al. ∙

research

∙ 11/17/2020

MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining

Despite the development of pre-trained language models (PLMs) significan...

0 Wei Zhu, et al. ∙

research

∙ 11/15/2020

Precision-Recall Curve (PRC) Classification Trees

The classification of imbalanced data has presented a significant challe...

0 Jiaju Miao, et al. ∙

research

∙ 09/25/2020

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data

Parkinsons Disease is a neurological disorder and prevalent in elderly p...

0 Weijian Li, et al. ∙

research

∙ 09/22/2020

AutoRC: Improving BERT Based Relation Classification Models via Architecture Search

Although BERT based relation classification (RC) models have achieved si...

0 Wei Zhu, et al. ∙

research

∙ 09/04/2020

AutoTrans: Automating Transformer Design via Reinforced Architecture Search

Though the transformer architectures have shown dominance in many natura...

0 Wei Zhu, et al. ∙

research

∙ 05/25/2020

Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach

With the growth of online shopping for fashion products, accurate fashio...

0 Haitian Zheng, et al. ∙

research

∙ 04/21/2020

Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification

Skin disease classification from images is crucial to dermatological dia...

0 Wei Zhu, et al. ∙

research

∙ 04/07/2020

Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning

This paper investigates the stochastic optimization problem with a focus...

0 Pengzhan Guo, et al. ∙

research

∙ 03/08/2020

Unifying Specialist Image Embedding into Universal Image Embedding

Deep image embedding provides a way to measure the semantic similarity o...

0 Yang Feng, et al. ∙

research

∙ 10/14/2019

Constructing curvelet-like bases and low-redundancy frames

We provide a detailed analysis of the obstruction (studied first by S. D...

0 Wei Zhu, et al. ∙

research

∙ 09/24/2019

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters

Encoding the input scale information explicitly into the representation ...

12 Wei Zhu, et al. ∙

research

∙ 06/07/2019

Extension of Rough Set Based on Positive Transitive Relation

The application of rough set theory in incomplete information systems is...

0 Min Shu, et al. ∙

research

∙ 05/23/2019

Real-time Prediction of Bitcoin bubble Crashes

In the past decade, Bitcoin has become an emerging asset class well know...

0 Min Shu, et al. ∙

research

∙ 05/23/2019

Detection of Chinese Stock Market Bubbles with LPPLS Confidence Indicator

This paper aims to present an advance bubble detection methodology based...

0 Min Shu, et al. ∙

research

∙ 05/23/2019

Diagnosis and Prediction of the 2015 Chinese Stock Market Bubble

In this study, we perform a detailed analysis of the 2015 financial bubb...

0 Min Shu, et al. ∙

research

∙ 05/05/2019

A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange

The rapid growth of wireless and mobile Internet has led to wide applica...

0 Xiang Yan, et al. ∙

research

∙ 09/23/2018

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization

We improve the robustness of deep neural nets to adversarial attacks by ...

15 Bao Wang, et al. ∙

research

∙ 05/18/2018

Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning

Deep neural networks (DNNs) typically have enough capacity to fit random...

1 Wei Zhu, et al. ∙

research

∙ 02/01/2018

Deep Learning with Data Dependent Implicit Activation Function

Though deep neural networks (DNNs) achieve remarkable performances in ma...

1 Bao Wang, et al. ∙

research

∙ 12/27/2017

Artificial-noise-aided Secure Multicast Precoding for Directional Modulation Systems

In multi-cast scenario, all desired users are divided into K groups. Eac...

0 Feng Shu, et al. ∙

research

∙ 12/14/2017

Multi-appearance Segmentation and Extended 0-1 Program for Dense Small Object Tracking

Aiming to address the fast multi-object tracking for dense small object ...

0 Longtao Chen, et al. ∙

research

∙ 11/16/2017

LDMNet: Low Dimensional Manifold Regularized Neural Networks

Deep neural networks have proved very successful on archetypal tasks for...

0 Wei Zhu, et al. ∙

research

∙ 09/12/2017

A convergence frame for inexact nonconvex and nonsmooth algorithms and its applications to several iterations

In this paper, we consider the convergence of an abstract inexact noncon...

0 Tao Sun, et al. ∙

research

∙ 03/27/2017

Exploiting Color Name Space for Salient Object Detection

In this paper, we will investigate the contribution of color names for s...

0 Jing Lou, et al. ∙

research

∙ 08/12/2015

RCR: Robust Compound Regression for Robust Estimation of Errors-in-Variables Model

The errors-in-variables (EIV) regression model, being more realistic by ...

0 Hao Han, et al. ∙

Wei Zhu

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