b'Lin Chen'

research

∙ 05/19/2022

Defending Against Adversarial Attacks by Energy Storage Facility

Adversarial attacks on data-driven algorithms applied in pow-er system w...

Jiawei Li, et al. ∙

research

∙ 05/02/2022

Local Differential Privacy Meets Computational Social Choice – Resilience under Voter Deletion

The resilience of a voting system has been a central topic in computatio...

Liangde Tao, et al. ∙

research

∙ 04/23/2022

Approximation Algorithms for Interdiction Problem with Packing Constraints

We study a bilevel optimization problem which is a zero-sum Stackelberg ...

Lin Chen, et al. ∙

research

∙ 04/19/2022

Test suite effectiveness metric evaluation: what do we know and what should we do?

Comparing test suite effectiveness metrics has always been a research ho...

Peng Zhang, et al. ∙

research

∙ 04/17/2022

Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network

We propose a novel framework to learn 3D point cloud semantics from 2D m...

Yuhang He, et al. ∙

research

∙ 04/08/2022

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation

Adversarial learning has achieved remarkable performances for unsupervis...

Lin Chen, et al. ∙

research

∙ 01/18/2022

Youling: an AI-Assisted Lyrics Creation System

Recently, a variety of neural models have been proposed for lyrics gener...

Rongsheng Zhang, et al. ∙

research

∙ 11/12/2021

Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity

Balancing social utility and equity in distributing limited vaccines rep...

Lin Chen, et al. ∙

research

∙ 10/19/2021

Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation

Knowledge Distillation is becoming one of the primary trends among neura...

Sumanth Chennupati, et al. ∙

research

∙ 08/19/2021

Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages

There are numerous types of programming languages developed in the last ...

Yong Zhao, et al. ∙

research

∙ 08/09/2021

A novel reversible data hiding in encrypted images based on polynomial arithmetic

Reversible data hiding in encrypted images is an eff ective technique fo...

Lin Chen, et al. ∙

research

∙ 07/13/2021

Tight running times for minimum ℓ_q-norm load balancing: beyond exponential dependencies on 1/ε

We consider a classical scheduling problem on m identical machines. For ...

Lin Chen, et al. ∙

research

∙ 07/05/2021

Feature Cross Search via Submodular Optimization

In this paper, we study feature cross search as a fundamental primitive ...

Lin Chen, et al. ∙

research

∙ 03/26/2021

Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme

Different from static images, videos contain additional temporal and spa...

Zhongjie Yu, et al. ∙

research

∙ 03/17/2021

Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm

In this paper, we investigate the sample complexity of policy evaluation...

Lin Chen, et al. ∙

research

∙ 03/07/2021

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models

The boom of DL technology leads to massive DL models built and shared, w...

Linghan Meng, et al. ∙

research

∙ 02/05/2021

Mutant reduction evaluation: what is there and what is missing?

Background. Many mutation reduction strategies, which aim to reduce the ...

Peng Zhang, et al. ∙

research

∙ 01/27/2021

An extensive empirical study of inconsistent labels in multi-version-project defect data sets

The label quality of defect data sets has a direct influence on the reli...

Shiran Liu, et al. ∙

research

∙ 01/14/2021

EDSC: An Event-Driven Smart Contract Platform

This paper presents EDSC, a novel smart contract platform design based o...

Mudabbir Kaleem, et al. ∙

research

∙ 01/14/2021

DAIL: Dataset-Aware and Invariant Learning for Face Recognition

To achieve good performance in face recognition, a large scale training ...

Gaoang Wang, et al. ∙

research

∙ 12/31/2020

An Optimal Mass Transport Method for Random Genetic Drift

We propose and analyze an optimal mass transport method for a random gen...

José A. Carrillo, et al. ∙

research

∙ 12/07/2020

Sequential Resource Access: Theory and Algorithm

We formulate and analyze a generic sequential resource access problem ar...

Lin Chen, et al. ∙

research

∙ 09/22/2020

Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS

We prove that the reproducing kernel Hilbert spaces (RKHS) of a deep neu...

Lin Chen, et al. ∙

research

∙ 09/08/2020

Region Comparison Network for Interpretable Few-shot Image Classification

While deep learning has been successfully applied to many real-world com...

Zhiyu Xue, et al. ∙

research

∙ 08/03/2020

Multiple Descent: Design Your Own Generalization Curve

This paper explores the generalization loss of linear regression in vari...

Lin Chen, et al. ∙

research

∙ 07/15/2020

Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence

Mobile Edge Computing (MEC) has emerged as a promising supporting archit...

Xin Tang, et al. ∙

research

∙ 07/11/2020

Coarse-to-Fine Pseudo-Labeling Guided Meta-Learning for Few-Shot Classification

To endow neural networks with the potential to learn rapidly from a hand...

Jinhai Yang, et al. ∙

research

∙ 07/06/2020

Computational Complexity Characterization of Protecting Elections from Bribery

The bribery problem in election has received considerable attention in t...

Lin Chen, et al. ∙

research

∙ 06/19/2020

Meta Learning in the Continuous Time Limit

In this paper, we establish the ordinary differential equation (ODE) tha...

Ruitu Xu, et al. ∙

research

∙ 06/18/2020

Prioritizing documentation effort: Can we do better?

Code documentations are essential for software quality assurance, but du...

Shiran Liu, et al. ∙

research

∙ 03/14/2020

Hybrid Cryptocurrency Pump and Dump Detection

Increasingly growing Cryptocurrency markets have become a hive for scamm...

Hadi Mansourifar, et al. ∙

research

∙ 02/25/2020

The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization

Despite remarkable success, deep neural networks are sensitive to human-...

Yifei Min, et al. ∙

research

∙ 02/20/2020

Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition

Precision mapping of landslide inventory is crucial for hazard mitigatio...

Qing Zhu, et al. ∙

research

∙ 02/11/2020

More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models

Despite remarkable success in practice, modern machine learning models h...

Lin Chen, et al. ∙

research

∙ 01/22/2020

Nonlinear Blockchain Scalability: a Game-Theoretic Perspective

Recent advances in the blockchain research have been made in two importa...

Lin Chen, et al. ∙

research

∙ 01/03/2020

Differentially Private Combinatorial Cloud Auction

Cloud service providers typically provide different types of virtual mac...

Tianjiao Ni, et al. ∙

research

∙ 12/19/2019

An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning

With the advent of the era of big data, deep learning has become a preva...

Zhiying Xu, et al. ∙

research

∙ 12/19/2019

TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

The successful application of deep learning to many visual recognition t...

Zhongjie Yu, et al. ∙

research

∙ 11/11/2019

Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation

We study the problem of visual question answering (VQA) in images by exp...

Yiming Xu, et al. ∙

research

∙ 10/29/2019

MAT: A simple yet strong baseline for identifying self-admitted technical debt

In the process of software evolution, developers often sacrifice the lon...

Zhaoqiang Guo, et al. ∙

research

∙ 10/28/2019

Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback

In this paper, we propose three online algorithms for submodular maximis...

Mingrui Zhang, et al. ∙

research

∙ 10/28/2019

Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond

Computing approximate nearest neighbors in high dimensional spaces is a ...

Lin Chen, et al. ∙

research

∙ 10/24/2019

Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition

We study the problem of switching-constrained online convex optimization...

Lin Chen, et al. ∙

research

∙ 09/14/2019

Private and Atomic Exchange of Assets over Zero Knowledge Based Payment Ledger

Bitcoin brings a new type of digital currency that does not rely on a ce...

Zhimin Gao, et al. ∙

research

∙ 08/10/2019

Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics

With the rapid development of GPS enabled devices (smartphones) and loca...

Zhili Chen, et al. ∙

research

∙ 05/03/2019

Known-class Aware Self-ensemble for Open Set Domain Adaptation

Existing domain adaptation methods generally assume different domains ha...

Qing Lian, et al. ∙

research

∙ 04/30/2019

Categorical Feature Compression via Submodular Optimization

In the era of big data, learning from categorical features with very lar...

MohammadHossein Bateni, et al. ∙

research

∙ 02/21/2019

Covering a tree with rooted subtrees

We consider the multiple traveling salesman problem on a weighted tree. ...

Lin Chen, et al. ∙

research

∙ 02/19/2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...

Chen Change Loy, et al. ∙

research

∙ 02/17/2019

Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization

How can we efficiently mitigate the overhead of gradient communications ...

Mingrui Zhang, et al. ∙

Lin Chen

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