Hui Li

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Xiamen University ∙ Purdue University ∙ The University of Adelaide ∙ Beijing Normal University ∙ Harbin Institute of Technology ∙ The University of Hong Kong ∙ Xidian University ∙ Baidu, Inc. ∙ NetEase, Inc

Graduate Research Assistant at The University of Hong Kong since 2013, PhD in Department of Computer Science at The University of Hong Kong, PhD Intern at Systems and Machine Learning group, NEC Laboratories Europe 2017

To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

Recent advances in machine learning, wireless communication, and mobile ...
12/22/2020 ∙ by Liang Li, et al. ∙ 0 ∙ share

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Knowledge-Augmented Dexterous Grasping with Incomplete Sensing

Humans can determine a proper strategy to grasp an object according to t...
11/17/2020 ∙ by Bharath Rao, et al. ∙ 0 ∙ share

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Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack

Public intelligent services enabled by machine learning algorithms are v...
11/01/2020 ∙ by Haonan Yan, et al. ∙ 0 ∙ share

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Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network

Fashion products typically feature in compositions of a variety of style...
10/26/2020 ∙ by Haibo Su, et al. ∙ 0 ∙ share

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Deep Learning is Singular, and That's Good

In singular models, the optimal set of parameters forms an analytic set ...
10/22/2020 ∙ by Daniel Murfet, et al. ∙ 0 ∙ share

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Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly

In this work we solve for partially observable reinforcement learning (R...
10/15/2020 ∙ by Jieliang Luo, et al. ∙ 0 ∙ share

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Towards the Transportation Internet: Concepts, Architectures and Requirements

The Internet has become a general network design paradigm. The Energy In...
10/14/2020 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Fast and Secure Distributed Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) has been successfully applied in ...
09/07/2020 ∙ by Yuqiu Qian, et al. ∙ 4 ∙ share

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NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models

In this paper we propose a novel method for infrared and visible image f...
07/01/2020 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Outlier Detection Using a Novel method: Quantum Clustering

We propose a new assumption in outlier detection: Normal data instances ...
06/08/2020 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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A Robust Attentional Framework for License Plate Recognition in the Wild

Recognizing car license plates in natural scene images is an important y...
06/06/2020 ∙ by Linjiang Zhang, et al. ∙ 18 ∙ share

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Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge

Conventional referring expression comprehension (REF) assumes people to ...
06/02/2020 ∙ by Peng Wang, et al. ∙ 8 ∙ share

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Structured Multimodal Attentions for TextVQA

Text based Visual Question Answering (TextVQA) is a recently raised chal...
06/01/2020 ∙ by Chenyu Gao, et al. ∙ 12 ∙ share

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How does Working from Home Affect Developer Productivity? – A Case Study of Baidu During COVID-19 Pandemic

Nowadays, working from home (WFH) has become a popular work arrangement ...
05/27/2020 ∙ by Lingfeng Bao, et al. ∙ 0 ∙ share

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Attacking Recommender Systems with Augmented User Profiles

Recommendation Systems (RS) have become an essential part of many online...
05/17/2020 ∙ by Chen Lin, et al. ∙ 0 ∙ share

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Intention Propagation for Multi-agent Reinforcement Learning

A hallmark of an AI agent is to mimic human beings to understand and int...
04/19/2020 ∙ by Chao Qu, et al. ∙ 11 ∙ share

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Underwater image enhancement with Image Colorfulness Measure

Due to the absorption and scattering effects of the water, underwater im...
04/18/2020 ∙ by Hui Li, et al. ∙ 11 ∙ share

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Machine-learning-based methods for output only structural modal identification

In this study, we propose a machine-learning-based approach to identify ...
04/16/2020 ∙ by Yuequan Bao, et al. ∙ 15 ∙ share

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Smart Prediction of the Complaint Hotspot Problem in Mobile Network

In mobile network, a complaint hotspot problem often affects even thousa...
04/08/2020 ∙ by Lin Zhu, et al. ∙ 0 ∙ share

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Recovering compressed images for automatic crack segmentation using generative models

In a structural health monitoring (SHM) system that uses digital cameras...
03/06/2020 ∙ by Yong Huang, et al. ∙ 0 ∙ share

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Dynamic Experience Replay

We present a novel technique called Dynamic Experience Replay (DER) that...
03/04/2020 ∙ by Jieliang Luo, et al. ∙ 0 ∙ share

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An Efficient Secure Dynamic Skyline Query Model

It is now cost-effective to outsource large dataset and perform query ov...
02/18/2020 ∙ by Weiguo Wang, et al. ∙ 0 ∙ share

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SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud

It is now cost-effective to outsource large dataset and perform query ov...
02/18/2020 ∙ by Weiguo Wang, et al. ∙ 0 ∙ share

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Target Privacy Preserving for Social Networks

In this paper, we incorporate the realistic scenario of key protection i...
02/09/2020 ∙ by Zhongyuan Jiang, et al. ∙ 0 ∙ share

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Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism

Public intelligent services enabled by machine learning algorithms are v...
02/06/2020 ∙ by Xiaoguang Li, et al. ∙ 0 ∙ share

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Improved dual channel pulse coupled neural network and its application to multi-focus image fusion

This paper presents an improved dual channel pulse coupled neural networ...
02/04/2020 ∙ by Huai-Shui Tong, et al. ∙ 0 ∙ share

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Multi-focus Image Fusion Based on Similarity Characteristics

A novel multi-focus image fusion algorithm performed in spatial domain b...
12/17/2019 ∙ by Ya-Qiong Zhang, et al. ∙ 22 ∙ share

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Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples

In this paper, we aim to tackle the one-shot person re-identification pr...
11/02/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Single-shot 3D shape reconstruction using deep convolutional neural networks

A robust single-shot 3D shape reconstruction technique integrating the f...
09/17/2019 ∙ by Hieu Nguyen, et al. ∙ 5 ∙ share

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MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network

IP protocol is the core of TCP/IP network layer. However, since IP addre...
08/01/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction

A learning-based 3D reconstruction method for long-span bridges is propo...
07/08/2019 ∙ by Fangqiao Hu, et al. ∙ 3 ∙ share

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DISCO: Influence Maximization Meets Network Embedding and Deep Learning

Since its introduction in 2003, the influence maximization (IM) problem ...
06/18/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks

The Internet has become the most important infrastructure of modern soci...
06/17/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Towards End-to-End Text Spotting in Natural Scenes

Text spotting in natural scene images is of great importance for many im...
06/14/2019 ∙ by Hui Li, et al. ∙ 1 ∙ share

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A Simple and Robust Convolutional-Attention Network for Irregular Text Recognition

Reading irregular text of arbitrary shape in natural scene images is sti...
04/02/2019 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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Pedestrian re-identification based on Tree branch network with local and global learning

Deep part-based methods in recent literature have revealed the great pot...
03/31/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems

Data sparsity and data imbalance are practical and challenging issues in...
03/26/2019 ∙ by Cheng Wang, et al. ∙ 0 ∙ share

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MMKG: Multi-Modal Knowledge Graphs

We present MMKG, a collection of three knowledge graphs that contain bot...
03/13/2019 ∙ by Ye Liu, et al. ∙ 0 ∙ share

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Automatic trajectory measurement of large numbers of crowded objects

Complex motion patterns of natural systems, such as fish schools, bird f...
02/03/2019 ∙ by Hui Li, et al. ∙ 12 ∙ share

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Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach

Compressive sensing (CS) has been studied and applied in structural heal...
01/07/2019 ∙ by Yuequan Bao, et al. ∙ 0 ∙ share

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The Crossover-Distance for ISI-Correcting Decoding of Convolutional Codes in Diffusion-Based Molecular Communications

In diffusion based molecular communication, the intersymbol interference...
12/29/2018 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Generative Adversarial User Model for Reinforcement Learning Based Recommendation System

There are great interests as well as many challenges in applying reinfor...
12/27/2018 ∙ by Xinshi Chen, et al. ∙ 0 ∙ share

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Neural Model-Based Reinforcement Learning for Recommendation

There are great interests as well as many challenges in applying reinfor...
12/27/2018 ∙ by Xinshi Chen, et al. ∙ 0 ∙ share

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Double Neural Counterfactual Regret Minimization

Counterfactual Regret Minimization (CRF) is a fundamental and effective ...
12/27/2018 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Visual Question Answering as Reading Comprehension

Visual question answering (VQA) demands simultaneous comprehension of bo...
11/29/2018 ∙ by Hui Li, et al. ∙ 4 ∙ share

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LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data

Data loss is a critical problem in structural health monitoring (SHM). P...
11/21/2018 ∙ by Zhicheng Chen, et al. ∙ 0 ∙ share

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A LQD-RKHS-based distribution-to-distribution regression method and its application to restore distributions of missing SHM data

Data loss is a critical problem in structural health monitoring (SHM). P...
11/21/2018 ∙ by Zhicheng Chen, et al. ∙ 0 ∙ share

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Automatically Generate Steganographic Text Based on Markov Model and Huffman Coding

Steganography, as one of the three basic information security systems, h...
11/12/2018 ∙ by Zhongliang Yang, et al. ∙ 0 ∙ share

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Infrared and visible image fusion using a novel deep decomposition method

Infrared and visible image fusion is an important problem in image fusio...
11/06/2018 ∙ by Hui Li, et al. ∙ 8 ∙ share

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Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

Recognizing irregular text in natural scene images is challenging due to...
11/02/2018 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Hui Li

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