b'Liang Zhang'

research

∙ 07/18/2022

MobileCodec: Neural Inter-frame Video Compression on Mobile Devices

Realizing the potential of neural video codecs on mobile devices is a bi...

Hoang Le, et al. ∙

research

∙ 07/14/2022

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model

Recently brain networks have been widely adopted to study brain dynamics...

Haoteng Tang, et al. ∙

research

∙ 06/29/2022

LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments

Predicting the consensus structure of a set of aligned RNA homologs is a...

Liang Zhang, et al. ∙

research

∙ 06/27/2022

Probabilistic network topology prediction for active planning:An adaptive algorithm and application

This paper tackles the problem of active planning to achieve cooperative...

Liang Zhang, et al. ∙

research

∙ 06/07/2022

Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection

The key of Human-Object Interaction(HOI) recognition is to infer the rel...

Hongsheng Li, et al. ∙

research

∙ 06/01/2022

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization

We study differentially private (DP) algorithms for smooth stochastic mi...

Liang Zhang, et al. ∙

research

∙ 06/01/2022

Digital Twin for Networking: A Data-driven Performance Modeling Perspective

Emerging technologies and applications make the network unprecedentedly ...

Linbo Hui, et al. ∙

research

∙ 05/28/2022

Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems

This paper studies the uniform convergence and generalization bounds for...

Siqi Zhang, et al. ∙

research

∙ 04/28/2022

Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection

Saliency detection with light field images is becoming attractive given ...

Mingtao Feng, et al. ∙

research

∙ 04/26/2022

Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks

The tremendous achievements of Artificial Intelligence (AI) in computer ...

Dario Rossi, et al. ∙

research

∙ 04/21/2022

A Masked Image Reconstruction Network for Document-level Relation Extraction

Document-level relation extraction aims to extract relations among entit...

Liang Zhang, et al. ∙

research

∙ 04/12/2022

Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition

Nested named entity recognition (NER) aims to identify the entity bounda...

Yuan Sui, et al. ∙

research

∙ 04/11/2022

ConSLT: A Token-level Contrastive Framework for Sign Language Translation

Sign language translation (SLT) is an important technology that can brid...

Biao Fu, et al. ∙

research

∙ 04/07/2022

DynLight: Realize dynamic phase duration with multi-level traffic signal control

Adopting reinforcement learning (RL) for traffic signal control is incre...

Liang Zhang, et al. ∙

research

∙ 04/01/2022

NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction

Document-level relation extraction (RE), which requires reasoning on mul...

Liang Zhang, et al. ∙

research

∙ 03/26/2022

A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction

Document-level relation extraction (RE) aims to identify relations betwe...

Liang Zhang, et al. ∙

research

∙ 02/01/2022

Finite-time enclosing control for multiple moving targets: a continuous estimator approach

This work addresses the finite-time enclosing control problem where a se...

Liang Zhang, et al. ∙

research

∙ 12/30/2021

Knowledge intensive state design for traffic signal control

There is a general trend of applying reinforcement learning (RL) techniq...

Liang Zhang, et al. ∙

research

∙ 12/19/2021

Expression is enough: Improving traffic signal control with advanced traffic state representation

Recently, finding fundamental properties for traffic state representatio...

Liang Zhang, et al. ∙

research

∙ 12/04/2021

Efficient Pressure: Improving efficiency for signalized intersections

Since conventional approaches could not adapt to dynamic traffic conditi...

Qiang Wu, et al. ∙

research

∙ 09/29/2021

Dynamic probabilistic predictable feature analysis for high dimensional temporal monitoring

Dynamic statistical process monitoring methods have been widely studied ...

Wei Fan, et al. ∙

research

∙ 08/19/2021

Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition

For a given video-based Human-Object Interaction scene, modeling the spa...

Ning Wang, et al. ∙

research

∙ 08/16/2021

Deep Natural Language Processing for LinkedIn Search

Many search systems work with large amounts of natural language data, e....

Weiwei Guo, et al. ∙

research

∙ 07/30/2021

Deep Natural Language Processing for LinkedIn Search Systems

Many search systems work with large amounts of natural language data, e....

Weiwei Guo, et al. ∙

research

∙ 06/24/2021

A Systematic Collection of Medical Image Datasets for Deep Learning

The astounding success made by artificial intelligence (AI) in healthcar...

Johann Li, et al. ∙

research

∙ 04/22/2021

MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation

Recommending medications for patients using electronic health records (E...

Yang An, et al. ∙

research

∙ 03/30/2021

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 ...

Mingtao Feng, et al. ∙

research

∙ 12/17/2020

Smoothed Gaussian Mixture Models for Video Classification and Recommendation

Cluster-and-aggregate techniques such as Vector of Locally Aggregated De...

Sirjan Kafle, et al. ∙

research

∙ 12/16/2020

More Industry-friendly: Federated Learning with High Efficient Design

Although many achievements have been made since Google threw out the par...

Dingwei Li, et al. ∙

research

∙ 10/12/2020

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

This paper studies the novel concept of weight correlation in deep neura...

Gaojie Jin, et al. ∙

research

∙ 08/06/2020

DeText: A Deep Text Ranking Framework with BERT

Ranking is the most important component in a search system. Mostsearch s...

Weiwei Guo, et al. ∙

research

∙ 07/12/2020

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...

Liang Zhang, et al. ∙

research

∙ 05/08/2020

On Vocabulary Reliance in Scene Text Recognition

The pursuit of high performance on public benchmarks has been the drivin...

Zhaoyi Wan, et al. ∙

research

∙ 04/23/2020

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

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...

Qingsen Yan, et al. ∙

research

∙ 02/10/2020

Adversarial Data Encryption

In the big data era, many organizations face the dilemma of data sharing...

Yingdong Hu, et al. ∙

research

∙ 01/30/2020

Structure-Feature based Graph Self-adaptive Pooling

Various methods to deal with graph data have been proposed in recent yea...

Liang Zhang, et al. ∙

research

∙ 12/31/2019

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

RNA secondary structure prediction is widely used to understand RNA func...

He Zhang, et al. ∙

research

∙ 11/30/2019

Relation Graph Network for 3D Object Detection in Point Clouds

Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...

Mingtao Feng, et al. ∙

research

∙ 11/11/2019

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

Given the effectiveness and ease of use, Item-based Collaborative Filter...

Liang Zhang, et al. ∙

research

∙ 11/03/2019

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

Improving the performance of click-through rate (CTR) prediction remains...

Yikai Wang, et al. ∙

research

∙ 10/30/2019

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

Drone-mounted base stations (DBSs) are promising solutions to provide ub...

Liang Zhang, et al. ∙

research

∙ 09/27/2019

Point Attention Network for Semantic Segmentation of 3D Point Clouds

Convolutional Neural Networks (CNNs) have performed extremely well on da...

Mingtao Feng, et al. ∙

research

∙ 08/30/2019

Adversarial Training Methods for Network Embedding

Network Embedding is the task of learning continuous node representation...

Quanyu Dai, et al. ∙

research

∙ 08/16/2019

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

With the prosperity of business intelligence, recommender systems have e...

Guannan Liu, et al. ∙

research

∙ 03/22/2019

Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction

The recommender system is an important form of intelligent application, ...

Dongyang Zhao, et al. ∙

research

∙ 02/26/2019

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

Graph Convolutional Networks (GCNs) have proved to be a most powerful ar...

Ziyao Li, et al. ∙

research

∙ 11/15/2018

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

Contemporary smart power grids are being challenged by rapid voltage flu...

Liang Zhang, et al. ∙

research

∙ 11/14/2018

SepNE: Bringing Separability to Network Embedding

Many successful methods have been proposed for learning low dimensional ...

Ziyao Li, et al. ∙

research

∙ 08/26/2018

Doubly Robust Sure Screening for Elliptical Copula Regression Model

Regression analysis has always been a hot research topic in statistics. ...

Yong He, et al. ∙

research

∙ 05/07/2018

Deep Reinforcement Learning for Page-wise Recommendations

Recommender systems can mitigate the information overload problem by sug...

Xiangyu Zhao, et al. ∙

Liang Zhang

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