Liang Zhang

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Liang Zhang

Featured Co-authors

Bo Zhang

Georgios B. Giannakis

Jie Chen

Gang Wang

Ping Li

Hongsheng Li

Jiliang Tang

Qiang Li

Ajmal Mian

Liang Huang

Mohammed Bennamoun

Relation Graph Network for 3D Object Detection in Point Clouds

Structure-Feature based Graph Self-adaptive Pooling

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