
Exploring the Hierarchy in Relation Labels for Scene Graph Generation
By assigning each relationship a single label, current approaches formul...
read it

Transfer Learning of Graph Neural Networks with Egograph Information Maximization
Graph neural networks (GNNs) have been shown with superior performance i...
read it

Continuous Color Transfer
Color transfer, which plays a key role in image editing, has attracted n...
read it

SDENet: Equipping Deep Neural Networks with Uncertainty Estimates
Uncertainty quantification is a fundamental yet unsolved problem for dee...
read it

Reconfigurable Intelligent Surfaces Aided MultiCell NOMA Networks: A Stochastic Geometry Model
By activating blocked users and altering successive interference cancell...
read it

Neural Kalman Filtering for Speech Enhancement
Statistical signal processing based speech enhancement methods adopt exp...
read it

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Mining a set of meaningful topics organized into a hierarchy is intuitiv...
read it

Deep Patchbased Human Segmentation
3D human segmentation has seen noticeable progress in recent years. It,...
read it

BOND: BERTAssisted OpenDomain Named Entity Recognition with Distant Supervision
We study the opendomain named entity recognition (NER) problem under di...
read it

SemiGrantFree NOMA: A Stochastic Geometry Model
Grantfree (GF) transmission holds promise in terms of low latency commu...
read it

Downlink Analysis for Reconfigurable Intelligent Surfaces Aided NOMA Networks
By activating blocked users and altering successive interference cancell...
read it

Wasserstein Autoregressive Models for Density Time Series
Data consisting of timeindexed distributions of crosssectional or intr...
read it

PartiallyTyped NER Datasets Integration: Connecting Practice to Theory
While typical named entity recognition (NER) models require the training...
read it

paper2repo: GitHub Repository Recommendation for Academic Papers
GitHub has become a popular social application platform, where a large n...
read it

Simulating Noisy Quantum Circuits with Matrix Product Density Operators
Simulating quantum circuits with classical computers requires resources ...
read it

SHX: Search History Driven Crossover for RealCoded Genetic Algorithm
In evolutionary algorithms, genetic operators iteratively generate new o...
read it

HitDetector: Hierarchical Trinity Architecture Search for Object Detection
Neural Architecture Search (NAS) has achieved great success in image cla...
read it

Performance Analysis of Millimeter Wave Wireless Power Transfer With Imperfect Beam Alignment
In this paper, the impact of imperfect beam alignment (IBA) on millimete...
read it

Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes
In this paper, we analyze the energy coverage performance of heterogeneo...
read it

G2MFWA: Geometric MultiModel Fitting with Weakly Annotated Data
In this paper we attempt to address the problem of geometric multimodel...
read it

Evolution of Ethereum: A Temporal Graph Perspective
Ethereum is one of the most popular blockchain systems that supports mor...
read it

EnergyEfficient MIMO Multiuser Systems: Nash Equilibrium Analysis
In this paper, an energy efficiency (EE) game in a MIMO multiple access ...
read it

Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Deep learning has revolutionized speech recognition, image recognition, ...
read it

Improved Largemargin Softmax Loss for Speaker Diarisation
Speaker diarisation systems nowadays use embeddings generated from speec...
read it

Spherical Text Embedding
Unsupervised text embedding has shown great power in a wide range of NLP...
read it

Beyond Human Parts: Dual PartAligned Representations for Person ReIdentification
Person reidentification is a challenging task due to various complex fa...
read it

Recent Advances on HEVC Interframe Coding: From Optimization to Implementation and Beyond
High Efficiency Video Coding (HEVC) has doubled the video compression ra...
read it

Discriminative Neural Clustering for Speaker Diarisation
This paper proposes a novel method for supervised data clustering. The c...
read it

Efficient ProjectionFree Online Methods with Stochastic Recursive Gradient
This paper focuses on projectionfree methods for solving smooth Online ...
read it

Stochastic Recursive GradientBased Methods for ProjectionFree Online Learning
This paper focuses on projectionfree methods for solving smooth Online ...
read it

Aggregated Gradient Langevin Dynamics
In this paper, we explore a general Aggregated Gradient Langevin Dynamic...
read it

HiExpan: TaskGuided Taxonomy Construction by Hierarchical Tree Expansion
Taxonomies are of great value to many knowledgerich applications. As th...
read it

FUSE: MultiFaceted Set Expansion by Coherent Clustering of Skipgrams
Set expansion aims to expand a small set of seed entities into a complet...
read it

On Dimensionfree Tail Inequalities for Sums of Random Matrices and Applications
In this paper, we present a new framework to obtain tail inequalities fo...
read it

Decision Set Optimization and EnergyEfficient MIMO Communications
Assuming that the number of possible decisions for a transmitter (e.g., ...
read it

Integrating Sourcechannel and Attentionbased Sequencetosequence Models for Speech Recognition
This paper proposes a novel automatic speech recognition (ASR) framework...
read it

CatE: CategoryName GuidedWord Embedding
Unsupervised word embedding has benefited a wide spectrum of NLP tasks d...
read it

Orientationaware Semantic Segmentation on Icosahedron Spheres
We address semantic segmentation on omnidirectional images, to leverage ...
read it

Interlaced Sparse SelfAttention for Semantic Segmentation
In this paper, we present a socalled interlaced sparse selfattention a...
read it

Distributed Power Control with Partial Channel State Information: Performance Characterization and Design
One of the goals of this paper is to contribute to finding distributed p...
read it

Multiscale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
We propose a novel multiscale template matching method which is robust ...
read it

Optimal Solution Predictions for Mixed Integer Programs
Mixed Integer Programming (MIP) is one of the most widely used modeling ...
read it

MultiSpan Acoustic Modelling using Raw Waveform Signals
Traditional automatic speech recognition (ASR) systems often use an acou...
read it

ADATucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
Despite the recent success of deep learning models in numerous applicati...
read it

A gradual, semidiscrete approach to generative network training via explicit wasserstein minimization
This paper provides a simple procedure to fit generative networks to tar...
read it

DecisionOriented Communications: Application to EnergyEfficient Resource Allocation
In this paper, we introduce the problem of decisionoriented communicati...
read it

Truxen: A Trusted Computing Enhanced Blockchain
Truxen is a Trusted Computing enhanced blockchain that uses Proof of Int...
read it

FrameRank: A Text Processing Approach to Video Summarization
Video summarization has been extensively studied in the past decades. Ho...
read it

C3AE: Exploring the Limits of Compact Model for Age Estimation
Age estimation is a classic learning problem in computer vision. Many la...
read it

Task Oriented Channel State Information Quantization
In this paper, we propose a new perspective for quantizing a signal and ...
read it
Chao Zhang
verfied profile
Associate Professor
School of Mathematical Sciences
Dalian University of Technology
Dalian, Liaoning 116024，P.R. China