Jian Li

ACFD: Asymmetric Cartoon Face Detector

Cartoon face detection is a more challenging task than human face detect...
07/02/2020 ∙ by Bin Zhang, et al. ∙ 0 ∙ share

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Approximation Algorithms for Clustering with Dynamic Points

In many classic clustering problems, we seek to sketch a massive data se...
06/25/2020 ∙ by Shichuan Deng, et al. ∙ 0 ∙ share

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Neural Architecture Optimization with Graph VAE

Due to their high computational efficiency on a continuous space, gradie...
06/18/2020 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Improved Algorithms for Convex-Concave Minimax Optimization

This paper studies minimax optimization problems min_x max_y f(x,y), whe...
06/11/2020 ∙ by Yuanhao Wang, et al. ∙ 0 ∙ share

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Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL

Exploring the transition dynamics is essential to the success of reinfor...
06/11/2020 ∙ by Chuheng Zhang, et al. ∙ 0 ∙ share

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ASFD: Automatic and Scalable Face Detector

In this paper, we propose a novel Automatic and Scalable Face Detector (...
03/25/2020 ∙ by Bin Zhang, et al. ∙ 0 ∙ share

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Meta-Embeddings Based On Self-Attention

Creating meta-embeddings for better performance in language modelling ha...
03/03/2020 ∙ by Qichen Li, et al. ∙ 0 ∙ share

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Convolutional Spectral Kernel Learning

Recently, non-stationary spectral kernels have drawn much attention, owi...
02/28/2020 ∙ by Jian Li, et al. ∙ 0 ∙ share

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PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks

With the aggressive growth of smart environments, a large amount of data...
02/20/2020 ∙ by Qilin Fan, et al. ∙ 0 ∙ share

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Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions

We study the problem of augmenting online algorithms with machine learne...
02/13/2020 ∙ by Shufan Wang, et al. ∙ 0 ∙ share

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Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model

Virtual assistants today require every website to submit skills individu...
01/16/2020 ∙ by Silei Xu, et al. ∙ 0 ∙ share

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Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach

The growing demand for edge computing resources, particularly due to inc...
01/13/2020 ∙ by Faheem Zafari, et al. ∙ 0 ∙ share

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Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds

Mobile edge computing seeks to provide resources to different delay-sens...
01/02/2020 ∙ by Faheem Zafari, et al. ∙ 0 ∙ share

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Neuron Interaction Based Representation Composition for Neural Machine Translation

Recent NLP studies reveal that substantial linguistic information can be...
11/22/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Learning-Assisted Competitive Algorithms for Peak-Aware Energy Scheduling

In this paper, we study the peak-aware energy scheduling problem using t...
11/18/2019 ∙ by Russell Lee, et al. ∙ 0 ∙ share

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Fast Learning of Temporal Action Proposal via Dense Boundary Generator

Generating temporal action proposals remains a very challenging problem,...
11/11/2019 ∙ by Chuming Lin, et al. ∙ 9 ∙ share

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Algorithms and Adaptivity Gaps for Stochastic k-TSP

Given a metric (V,d) and a root∈ V, the classic k-TSP problem is to find...
11/06/2019 ∙ by Haotian Jiang, et al. ∙ 0 ∙ share

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Metric Classification Network in Actual Face Recognition Scene

In order to make facial features more discriminative, some new models ha...
10/25/2019 ∙ by Jian Li, et al. ∙ 26 ∙ share

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Optimizing Speech Recognition For The Edge

While most deployed speech recognition systems today still run on server...
09/26/2019 ∙ by Yuan Shangguan, et al. ∙ 0 ∙ share

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Automated Spectral Kernel Learning

The generalization performance of kernel methods is largely determined b...
09/11/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Learning Vector-valued Functions with Local Rademacher Complexity

We consider a general family of problems of which the output space admit...
09/11/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Learning Guided Convolutional Network for Depth Completion

Dense depth perception is critical for autonomous driving and other robo...
08/03/2019 ∙ by Jie Tang, et al. ∙ 1 ∙ share

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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

We study the problem of large-scale network embedding, which aims to lea...
06/26/2019 ∙ by Jiezhong Qiu, et al. ∙ 10 ∙ share

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Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

Recent works on implicit regularization have shown that gradient descent...
06/13/2019 ∙ by Kaifeng Lyu, et al. ∙ 0 ∙ share

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Distributed Learning with Random Features

Distributed learning and random projections are the most common techniqu...
06/07/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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TS-RNN: Text Steganalysis Based on Recurrent Neural Networks

With the rapid development of natural language processing technologies, ...
05/30/2019 ∙ by Zhongliang Yang, et al. ∙ 0 ∙ share

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Policy Search by Target Distribution Learning for Continuous Control

We observe that several existing policy gradient methods (such as vanill...
05/27/2019 ∙ by Chuheng Zhang, et al. ∙ 0 ∙ share

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Robust Variational Autoencoder

Machine learning methods often need a large amount of labeled training d...
05/23/2019 ∙ by Haleh Akrami, et al. ∙ 0 ∙ share

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Anti-Confusing: Region-Aware Network for Human Pose Estimation

In this work, we propose a novel framework named Region-Aware Network (R...
05/03/2019 ∙ by Xuan Cao, et al. ∙ 10 ∙ share

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Automatic Target Recognition Using Discrimination Based on Optimal Transport

The use of distances based on optimal transportation has recently shown ...
04/06/2019 ∙ by Ali Sadeghian, et al. ∙ 0 ∙ share

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Information Aggregation for Multi-Head Attention with Routing-by-Agreement

Multi-head attention is appealing for its ability to jointly extract dif...
04/05/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention

Cluster analysis aims at separating patients into phenotypically heterog...
03/01/2019 ∙ by Eryu Xia, et al. ∙ 4 ∙ share

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Context-Aware Self-Attention Networks

Self-attention model have shown its flexibility in parallel computation ...
02/15/2019 ∙ by Baosong Yang, et al. ∙ 0 ∙ share

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Efficient Cross-Validation for Semi-Supervised Learning

Manifold regularization, such as laplacian regularized least squares (La...
02/13/2019 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning

Generalization error (also known as the out-of-sample error) measures ho...
02/02/2019 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Max-Diversity Distributed Learning: Theory and Algorithms

We study the risk performance of distributed learning for the regulariza...
12/19/2018 ∙ by Yong Liu, et al. ∙ 0 ∙ share

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gl2vec: Learning Feature Representation Using Graphlets for Directed Networks

Learning network representations has a variety of applications, such as ...
12/13/2018 ∙ by Kun Tu, et al. ∙ 0 ∙ share

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DSFD: Dual Shot Face Detector

Recently, Convolutional Neural Network (CNN) has achieved great success ...
10/24/2018 ∙ by Jian Li, et al. ∙ 12 ∙ share

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Multi-Head Attention with Disagreement Regularization

Multi-head attention is appealing for the ability to jointly attend to i...
10/24/2018 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

Online Multi-Object Tracking (MOT) from videos is a challenging computer...
09/10/2018 ∙ by Zhen He, et al. ∙ 0 ∙ share

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A Fast Anderson-Chebyshev Mixing Method for Nonlinear Optimization

Anderson mixing (or Anderson acceleration) is an efficient acceleration ...
09/07/2018 ∙ by Zhize Li, et al. ∙ 0 ∙ share

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An Anderson-Chebyshev Mixing Method for Nonlinear Optimization

Anderson mixing (or Anderson acceleration) is an efficient acceleration ...
09/07/2018 ∙ by Zhize Li, et al. ∙ 0 ∙ share

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A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds

Mobile edge computing seeks to provide resources to different delay-sens...
08/21/2018 ∙ by Faheem Zafari, et al. ∙ 0 ∙ share

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Quickest Detection of Dynamic Events in Networks

The problem of quickest detection of dynamic events in networks is studi...
07/16/2018 ∙ by Shaofeng Zou, et al. ∙ 0 ∙ share

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Network Classification in Temporal Networks Using Motifs

Network classification has a variety of applications, such as detecting ...
07/10/2018 ∙ by Kun Tu, et al. ∙ 0 ∙ share

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BRITS: Bidirectional Recurrent Imputation for Time Series

Time series are widely used as signals in many classification/regression...
05/27/2018 ∙ by Wei Cao, et al. ∙ 0 ∙ share

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A PTAS for a Class of Stochastic Dynamic Programs

We develop a framework for obtaining polynomial time approximation schem...
05/20/2018 ∙ by Hao Fu, et al. ∙ 0 ∙ share

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ARUM: Polar Coded HARQ Scheme based on Incremental Channel Polarization

A hybrid ARQ (HARQ) scheme for polar code, which is called active-bit re...
05/17/2018 ∙ by Kai Chen, et al. ∙ 0 ∙ share

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ε-Coresets for Clustering (with Outliers) in Doubling Metrics

We study the problem of constructing ε-coresets for the (k, z)-clusterin...
04/07/2018 ∙ by Lingxiao Huang, et al. ∙ 0 ∙ share

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Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

Gradient-based Monte Carlo sampling algorithms, like Langevin dynamics a...
03/29/2018 ∙ by Zhize Li, et al. ∙ 0 ∙ share

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Jian Li

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