Liang Zhang

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
04/23/2020 ∙ by Qingsen Yan, et al. ∙ 15 ∙ share

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Relation Graph Network for 3D Object Detection in Point Clouds

Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...
11/30/2019 ∙ by Mingtao Feng, et al. ∙ 13 ∙ share

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Structure-Feature based Graph Self-adaptive Pooling

Various methods to deal with graph data have been proposed in recent yea...
01/30/2020 ∙ by Liang Zhang, et al. ∙ 11 ∙ share

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On Vocabulary Reliance in Scene Text Recognition

The pursuit of high performance on public benchmarks has been the drivin...
05/08/2020 ∙ by Zhaoyi Wan, et al. ∙ 6 ∙ share

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Adversarial Training Methods for Network Embedding

Network Embedding is the task of learning continuous node representation...
08/30/2019 ∙ by Quanyu Dai, et al. ∙ 2 ∙ share

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Adversarial Data Encryption

In the big data era, many organizations face the dilemma of data sharing...
02/10/2020 ∙ by Yingdong Hu, et al. ∙ 2 ∙ share

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Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary

The recently launched LinkedIn Salary product has been designed with the...
03/29/2017 ∙ by Krishnaram Kenthapadi, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for List-wise Recommendations

Recommender systems play a crucial role in mitigating the problem of inf...
12/30/2017 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Compressive Phase Retrieval via Reweighted Amplitude Flow

The problem of reconstructing a sparse signal vector from magnitude-only...
12/06/2017 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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Progressive Bit-Flipping Decoding of Polar Codes Over Layered Critical Sets

In successive cancellation (SC) polar decoding, an incorrect estimate of...
12/09/2017 ∙ by Zhaoyang Zhang, et al. ∙ 0 ∙ share

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Energy-Aware Virtual Machine Management in Inter-datacenter Networks over Elastic Optical Infrastructure

Datacenters (DCs), deployed in a large scale to support the ever increas...
11/02/2017 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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Deep Keyframe Detection in Human Action Videos

Detecting representative frames in videos based on human actions is quit...
04/26/2018 ∙ by Xiang Yan, et al. ∙ 0 ∙ share

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Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Recommender systems play a crucial role in mitigating the problem of inf...
02/19/2018 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Page-wise Recommendations

Recommender systems can mitigate the information overload problem by sug...
05/07/2018 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Doubly Robust Sure Screening for Elliptical Copula Regression Model

Regression analysis has always been a hot research topic in statistics. ...
08/26/2018 ∙ by Yong He, et al. ∙ 0 ∙ share

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SepNE: Bringing Separability to Network Embedding

Many successful methods have been proposed for learning low dimensional ...
11/14/2018 ∙ by Ziyao Li, et al. ∙ 0 ∙ share

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Real-time Power System State Estimation and Forecasting via Deep Neural Networks

Contemporary smart power grids are being challenged by rapid voltage flu...
11/15/2018 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have proved to be a most powerful ar...
02/26/2019 ∙ by Ziyao Li, et al. ∙ 0 ∙ share

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Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction

The recommender system is an important form of intelligent application, ...
03/22/2019 ∙ by Dongyang Zhao, et al. ∙ 0 ∙ share

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Point Attention Network for Semantic Segmentation of 3D Point Clouds

Convolutional Neural Networks (CNNs) have performed extremely well on da...
09/27/2019 ∙ by Mingtao Feng, et al. ∙ 0 ∙ share

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Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks

With the prosperity of business intelligence, recommender systems have e...
08/16/2019 ∙ by Guannan Liu, et al. ∙ 0 ∙ share

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Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction

Improving the performance of click-through rate (CTR) prediction remains...
11/03/2019 ∙ by Yikai Wang, et al. ∙ 0 ∙ share

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LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities

RNA secondary structure prediction is widely used to understand RNA func...
12/31/2019 ∙ by He Zhang, et al. ∙ 0 ∙ share

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Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets

Drone-mounted base stations (DBSs) are promising solutions to provide ub...
10/30/2019 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation

Given the effectiveness and ease of use, Item-based Collaborative Filter...
11/11/2019 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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Liang Zhang

Featured Co-authors

Jiebo Luo

Bo Zhang

Georgios B. Giannakis

Jie Chen

Ping Li

Hongsheng Li

Gang Wang

Jiliang Tang

Bo Wang

Qiang Li

Liang Huang

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

Relation Graph Network for 3D Object Detection in Point Clouds

Structure-Feature based Graph Self-adaptive Pooling

On Vocabulary Reliance in Scene Text Recognition

Adversarial Training Methods for Network Embedding

Adversarial Data Encryption

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary

Deep Reinforcement Learning for List-wise Recommendations

Compressive Phase Retrieval via Reweighted Amplitude Flow

Progressive Bit-Flipping Decoding of Polar Codes Over Layered Critical Sets

Energy-Aware Virtual Machine Management in Inter-datacenter Networks over Elastic Optical Infrastructure

Deep Keyframe Detection in Human Action Videos

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Deep Reinforcement Learning for Page-wise Recommendations

Doubly Robust Sure Screening for Elliptical Copula Regression Model

SepNE: Bringing Separability to Network Embedding

Real-time Power System State Estimation and Forecasting via Deep Neural Networks

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks

Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction

Point Attention Network for Semantic Segmentation of 3D Point Clouds

Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction

LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities

Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets

Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation