b'Liang Zhang'

A Systematic Collection of Medical Image Datasets for Deep Learning

The astounding success made by artificial intelligence (AI) in healthcar...
06/24/2021 ∙ by Johann Li, et al. ∙ 39 ∙ share

read it
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation

Recommending medications for patients using electronic health records (E...
04/22/2021 ∙ by Yang An, et al. ∙ 0 ∙ share

read it
Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud

3D object grounding aims to locate the most relevant target object in a ...
03/30/2021 ∙ by Mingtao Feng, et al. ∙ 0 ∙ share

read it
Smoothed Gaussian Mixture Models for Video Classification and Recommendation

Cluster-and-aggregate techniques such as Vector of Locally Aggregated De...
12/17/2020 ∙ by Sirjan Kafle, et al. ∙ 0 ∙ share

read it
More Industry-friendly: Federated Learning with High Efficient Design

Although many achievements have been made since Google threw out the par...
12/16/2020 ∙ by Dingwei Li, et al. ∙ 0 ∙ share

read it
How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks

This paper studies the novel concept of weight correlation in deep neura...
10/12/2020 ∙ by Gaojie Jin, et al. ∙ 1 ∙ share

read it
DeText: A Deep Text Ranking Framework with BERT

Ranking is the most important component in a search system. Mostsearch s...
08/06/2020 ∙ by Weiwei Guo, et al. ∙ 0 ∙ share

read it
MeDaS: An open-source platform as service to help break the walls between medicine and informatics

In the past decade, deep learning (DL) has achieved unprecedented succes...
07/12/2020 ∙ by Liang Zhang, et al. ∙ 3 ∙ share

read it
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

read it
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

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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

Liang Zhang

Featured Co-authors