b'Yong Zhang'

research

∙ 01/07/2022

Fair and efficient contribution valuation for vertical federated learning

Federated learning is a popular technology for training machine learning...

Zhenan Fan, et al. ∙

research

∙ 12/22/2021

ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate

The 2021 NeurIPS Machine Learning for Combinatorial Optimization (ML4CO)...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 12/15/2021

Mining Minority-class Examples With Uncertainty Estimates

In the real world, the frequency of occurrence of objects is naturally s...

Gursimran Singh, et al. ∙

research

∙ 11/30/2021

FENeRF: Face Editing in Neural Radiance Fields

Previous portrait image generation methods roughly fall into two categor...

Jingxiang Sun, et al. ∙

research

∙ 11/01/2021

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

Mobile network traffic forecasting is one of the key functions in daily ...

Xing Wang, et al. ∙

research

∙ 10/20/2021

Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

The diversity of deep learning applications, datasets, and neural networ...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 10/20/2021

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples

Convolutional Neural Networks (CNNs) for visual tasks are believed to le...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 10/20/2021

EBJR: Energy-Based Joint Reasoning for Adaptive Inference

State-of-the-art deep learning models have achieved significant performa...

Mohammad Akbari, et al. ∙

research

∙ 10/11/2021

Boosting Fast Adversarial Training with Learnable Adversarial Initialization

Adversarial training (AT) has been demonstrated to be effective in impro...

Xiaojun Jia, et al. ∙

research

∙ 09/20/2021

Robust Physical-World Attacks on Face Recognition

Face recognition has been greatly facilitated by the development of deep...

Xin Zheng, et al. ∙

research

∙ 09/19/2021

Improving Fairness for Data Valuation in Federated Learning

Federated learning is an emerging decentralized machine learning scheme ...

Zhenan Fan, et al. ∙

research

∙ 09/17/2021

Achieving Model Fairness in Vertical Federated Learning

Vertical federated learning (VFL), which enables multiple enterprises po...

Changxin Liu, et al. ∙

research

∙ 09/13/2021

FedFair: Training Fair Models In Cross-Silo Federated Learning

Building fair machine learning models becomes more and more important. A...

Lingyang Chu, et al. ∙

research

∙ 09/10/2021

Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning

Motivated by suggested question generation in conversational news recomm...

Li Zhou, et al. ∙

research

∙ 09/08/2021

An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud

Cloud training platforms, such as Amazon Web Services and Huawei Cloud p...

Liang Hu, et al. ∙

research

∙ 08/30/2021

Auto-Split: A General Framework of Collaborative Edge-Cloud AI

In many industry scale applications, large and resource consuming machin...

Amin Banitalebi-Dehkordi, et al. ∙

research

∙ 08/27/2021

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis

Text-to-image synthesis refers to generating an image from a given text ...

Shulan Ruan, et al. ∙

research

∙ 08/18/2021

Data Pricing in Machine Learning Pipelines

Machine learning is disruptive. At the same time, machine learning can o...

Zicun Cong, et al. ∙

research

∙ 08/13/2021

Finding Representative Interpretations on Convolutional Neural Networks

Interpreting the decision logic behind effective deep convolutional neur...

Peter Cho-Ho Lam, et al. ∙

research

∙ 08/01/2021

An Effective and Robust Detector for Logo Detection

In recent years, intellectual property (IP), which represents literary, ...

Xiaojun Jia, et al. ∙

research

∙ 07/28/2021

SimROD: A Simple Adaptation Method for Robust Object Detection

This paper presents a Simple and effective unsupervised adaptation metho...

Rindra Ramamonjison, et al. ∙

research

∙ 07/08/2021

Robust Counterfactual Explanations on Graph Neural Networks

Massive deployment of Graph Neural Networks (GNNs) in high-stake applica...

Mohit Bajaj, et al. ∙

research

∙ 06/26/2021

Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence

Decentralized optimization, particularly the class of decentralized comp...

Changxin Liu, et al. ∙

research

∙ 06/17/2021

Semi-Autoregressive Transformer for Image Captioning

Current state-of-the-art image captioning models adopt autoregressive de...

Yuanen Zhou, et al. ∙

research

∙ 04/29/2021

Towards Harmonized Regional Style Transfer and Manipulation for Facial Images

Regional facial image synthesis conditioned on semantic mask has achieve...

Cong Wang, et al. ∙

research

∙ 04/12/2021

Updatable Learned Index with Precise Positions

Index plays an essential role in modern database engines to accelerate t...

Jiacheng Wu, et al. ∙

research

∙ 03/23/2021

Generalizing Face Forgery Detection with High-frequency Features

Current face forgery detection methods achieve high accuracy under the w...

Yuchen Luo, et al. ∙

research

∙ 03/09/2021

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation

To generate "accurate" scene graphs, almost all existing methods predict...

Gengcong Yang, et al. ∙

research

∙ 02/21/2021

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

With the development of computer-aided diagnosis (CAD) and image scannin...

Chen Li, et al. ∙

research

∙ 02/21/2021

A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification

In the Gastric Histopathology Image Classification (GHIC) tasks, which i...

Yixin Li, et al. ∙

research

∙ 02/21/2021

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits

To explore the vulnerability of deep neural networks (DNNs), many attack...

Jiawang Bai, et al. ∙

research

∙ 11/29/2020

Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

The Gleason grading system using histological images is the most powerfu...

Haotian Xie, et al. ∙

research

∙ 11/09/2020

Dual ResGCN for Balanced Scene GraphGeneration

Visual scene graph generation is a challenging task. Previous works have...

Jingyi Zhang, et al. ∙

research

∙ 10/14/2020

Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction

Semi-supervision is a promising paradigm for Bilingual Lexicon Induction...

Xu Zhao, et al. ∙

research

∙ 10/14/2020

A Relaxed Matching Procedure for Unsupervised BLI

Recently unsupervised Bilingual Lexicon Induction (BLI) without any para...

Xu Zhao, et al. ∙

research

∙ 09/16/2020

Too Much Information Kills Information: A Clustering Perspective

Clustering is one of the most fundamental tools in the artificial intell...

Yicheng Xu, et al. ∙

research

∙ 07/07/2020

Personalized Federated Learning: An Attentive Collaboration Approach

For the challenging computational environment of IOT/edge computing, per...

Yutao Huang, et al. ∙

research

∙ 06/30/2020

A unified structure preserving scheme for a multi-species model with a gradient flow structure and nonlocal interactions via singular kernels

In this paper, we consider a nonlinear and nonlocal parabolic model for ...

Yong Zhang, et al. ∙

research

∙ 05/26/2020

Compositions of pseudo-symmetric integrators with complex coefficients for the numerical integration of differential equations

In this paper, we are concerned with the construction and analysis of a ...

Fernando Casas, et al. ∙

research

∙ 05/12/2020

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

Adversarial examples have been well known as a serious threat to deep ne...

Chengcheng Ma, et al. ∙

research

∙ 02/26/2020

Controllable Descendant Face Synthesis

Kinship face synthesis is an interesting topic raised to answer question...

Yong Zhang, et al. ∙

research

∙ 01/28/2020

Structural-Aware Sentence Similarity with Recursive Optimal Transport

Measuring sentence similarity is a classic topic in natural language pro...

Zihao Wang, et al. ∙

research

∙ 01/08/2020

Online Joint Placement and Allocation of Virtual Network Functions with Heterogeneous Servers

Network Function Virtualization (NFV) is a promising virtualization tech...

Yicheng Xu, et al. ∙

research

∙ 01/01/2020

Ensemble emotion recognizing with multiple modal physiological signals

Physiological signals that provide the objective repression of human aff...

Jing Zhang, et al. ∙

research

∙ 11/12/2019

LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells

Collision avoidance is one of the most primary requirement in the decent...

Li Ning, et al. ∙

research

∙ 06/04/2019

A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access

Sparse code multiple access (SCMA) has been one of non-orthogonal multip...

Jinzhi Lin, et al. ∙

research

∙ 05/15/2019

Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling

Given two sets of objects, metric similarity join finds all similar pair...

Jiacheng Wu, et al. ∙

research

∙ 05/10/2019

Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

In this work, we study the robustness of a CNN+RNN based image captionin...

Yan Xu, et al. ∙

research

∙ 04/23/2019

Wasserstein-Fisher-Rao Document Distance

As a fundamental problem of natural language processing, it is important...

Zihao Wang, et al. ∙

research

∙ 01/15/2019

A constant FPT approximation algorithm for hard-capacitated k-means

Hard-capacitated k-means (HCKM) is one of the fundamental problems remai...

Yicheng Xu, et al. ∙

Yong Zhang

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