b'Xiang Zhang'

research

∙ 06/17/2022

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Pre-training on time series poses a unique challenge due to the potentia...

Xiang Zhang, et al. ∙

research

∙ 06/10/2022

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks

In recent years, graph neural networks (GNNs) have achieved state-of-the...

Tianxiang Zhao, et al. ∙

research

∙ 06/02/2022

Prefix Conditioning Unifies Language and Label Supervision

Vision-language contrastive learning suggests a new learning paradigm by...

Kuniaki Saito, et al. ∙

research

∙ 05/28/2022

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

Sentence summarization aims at compressing a long sentence into a short ...

Puyuan Liu, et al. ∙

research

∙ 05/27/2022

On Consistency in Graph Neural Network Interpretation

Uncovering rationales behind predictions of graph neural networks (GNNs)...

Tianxiang Zhao, et al. ∙

research

∙ 04/21/2022

Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification

Unsupervised person re-identification is a challenging and promising tas...

Long Lan, et al. ∙

research

∙ 04/12/2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation

Nuclear norm maximization has shown the power to enhance the transferabi...

Wenju Zhang, et al. ∙

research

∙ 04/05/2022

Text Spotting Transformers

In this paper, we present TExt Spotting TRansformers (TESTR), a generic ...

Xiang Zhang, et al. ∙

research

∙ 03/30/2022

Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels

Recent studies on the automatic detection of facial action unit (AU) hav...

Xiaotian Li, et al. ∙

research

∙ 03/29/2022

An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis

Emotion is an experience associated with a particular pattern of physiol...

Xiaotian Li, et al. ∙

research

∙ 03/28/2022

Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks

Manipulating deformable linear objects by robots has a wide range of app...

Changhao Wang, et al. ∙

research

∙ 03/23/2022

Unifying Motion Deblurring and Frame Interpolation with Events

Slow shutter speed and long exposure time of frame-based cameras often c...

Xiang Zhang, et al. ∙

research

∙ 03/22/2022

Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers

Multi-modal learning has been intensified in recent years, especially fo...

Xiang Zhang, et al. ∙

research

∙ 02/23/2022

Exploring Edge Disentanglement for Node Classification

Edges in real-world graphs are typically formed by a variety of factors ...

Tianxiang Zhao, et al. ∙

research

∙ 01/29/2022

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models

Knowledge distillation (KD) methods compress large models into smaller s...

Dongkuan Xu, et al. ∙

research

∙ 12/06/2021

Using principal stratification in analysis of clinical trials

The ICH E9(R1) addendum (2019) proposed principal stratification (PS) as...

Ilya Lipkovich, et al. ∙

research

∙ 11/01/2021

Safe Online Gain Optimization for Variable Impedance Control

Smooth behaviors are preferable for many contact-rich manipulation tasks...

Changhao Wang, et al. ∙

research

∙ 10/28/2021

InfoGCL: Information-Aware Graph Contrastive Learning

Various graph contrastive learning models have been proposed to improve ...

Dongkuan Xu, et al. ∙

research

∙ 10/25/2021

Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks

This paper introduces a discrete-continuous action space to learn insert...

Xiang Zhang, et al. ∙

research

∙ 10/17/2021

A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks

We consider the problem of distributed downlink beam scheduling and powe...

Xiang Zhang, et al. ∙

research

∙ 10/11/2021

Graph-Guided Network for Irregularly Sampled Multivariate Time Series

In many domains, including healthcare, biology, and climate science, tim...

Xiang Zhang, et al. ∙

research

∙ 10/11/2021

Online Graph Learning in Dynamic Environments

Inferring the underlying graph topology that characterizes structured da...

Xiang Zhang, et al. ∙

research

∙ 10/11/2021

Time-varying Graph Learning Under Structured Temporal Priors

This paper endeavors to learn time-varying graphs by using structured te...

Xiang Zhang, et al. ∙

research

∙ 09/21/2021

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Contrastive learning has been widely applied to graph representation lea...

Yihang Yin, et al. ∙

research

∙ 08/18/2021

ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks

Electrocardiography (ECG) signal is a highly applied measurement for ind...

Ziyu Liu, et al. ∙

research

∙ 07/20/2021

A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing

Elasticity is one important feature in modern cloud computing systems an...

Mingyue Ji, et al. ∙

research

∙ 06/24/2021

byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings

This article introduces byteSteady – a fast model for classification usi...

Xiang Zhang, et al. ∙

research

∙ 06/14/2021

Controlling Neural Networks with Rule Representations

We propose a novel training method to integrate rules into deep learning...

Sungyong Seo, et al. ∙

research

∙ 05/10/2021

Robust Graph Learning Under Wasserstein Uncertainty

Graphs are playing a crucial role in different fields since they are pow...

Xiang Zhang, et al. ∙

research

∙ 04/19/2021

BM-NAS: Bilevel Multimodal Neural Architecture Search

Deep neural networks (DNNs) have shown superior performances on various ...

Yihang Yin, et al. ∙

research

∙ 04/14/2021

Pose Recognition with Cascade Transformers

In this paper, we present a regression-based pose recognition method usi...

Ke Li, et al. ∙

research

∙ 03/26/2021

Unsupervised Document Embedding via Contrastive Augmentation

We present a contrasting learning approach with data augmentation techni...

Dongsheng Luo, et al. ∙

research

∙ 03/17/2021

Learning Descriptor of Constrained Task from Demonstration

Constrained objects, such as doors and drawers are often complex and sha...

Xiang Zhang, et al. ∙

research

∙ 03/16/2021

Semi-Supervised Graph-to-Graph Translation

Graph translation is very promising research direction and has a wide ra...

Tianxiang Zhao, et al. ∙

research

∙ 03/16/2021

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

Node classification is an important research topic in graph learning. Gr...

Tianxiang Zhao, et al. ∙

research

∙ 03/03/2021

Event-based Synthetic Aperture Imaging with a Hybrid Network

Synthetic aperture imaging (SAI) is able to achieve the see through effe...

Xiang Zhang, et al. ∙

research

∙ 02/24/2021

Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing

We propose using Carrier Sensing (CS) for distributed interference manag...

Shamik Sarkar, et al. ∙

research

∙ 02/13/2021

Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks

Many manipulation tasks require robots to interact with unknown environm...

Xiang Zhang, et al. ∙

research

∙ 02/06/2021

Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators

The precise motion control of a multi-degree of freedom (DOF) robot mani...

Zhian Kuang, et al. ∙

research

∙ 02/02/2021

A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching

In the problem of cache-aided multiuser private information retrieval (M...

Xiang Zhang, et al. ∙

research

∙ 01/22/2021

A Two-stream Neural Network for Pose-based Hand Gesture Recognition

Pose based hand gesture recognition has been widely studied in the recen...

Chuankun Li, et al. ∙

research

∙ 12/28/2020

Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy

Reducing feature redundancy has shown beneficial effects for improving t...

Mengzhu Wang, et al. ∙

research

∙ 12/21/2020

A Non-cooperative Game-based Distributed Beam Scheduling for 5G mm-Wave Networks

This paper studies the problem of distributed beam scheduling for 5G mil...

Xiang Zhang, et al. ∙

research

∙ 11/13/2020

Learning to Drop: Robust Graph Neural Network via Topological Denoising

Graph Neural Networks (GNNs) have shown to be powerful tools for graph a...

Dongsheng Luo, et al. ∙

research

∙ 11/09/2020

Attentive Social Recommendation: Towards User And Item Diversities

Social recommendation system is to predict unobserved user-item rating v...

Dongsheng Luo, et al. ∙

research

∙ 11/09/2020

Parameterized Explainer for Graph Neural Network

Despite recent progress in Graph Neural Networks (GNNs), explaining pred...

Dongsheng Luo, et al. ∙

research

∙ 11/08/2020

Multiscale Reduced-Order Modeling of a Titanium Skin Panel Subjected to Thermo-Mechanical Loading

This manuscript presents the formulation, implementation, calibration an...

Xiang Zhang, et al. ∙

research

∙ 10/13/2020

On the Fundamental Limits of Cache-aided Multiuser Private Information Retrieval

We consider the problem of cache-aided Multiuser Private Information Ret...

Xiang Zhang, et al. ∙

research

∙ 08/19/2020

Cache-aided Interference Management using Hypercube Combinatorial Cache Design with Reduced Subpacketizations and Order Optimal Sum-Degrees of Freedom

We consider a cache-aided interference network which consists of a libra...

Xiang Zhang, et al. ∙

research

∙ 07/15/2020

Automatic Image Labelling at Pixel Level

The performance of deep networks for semantic image segmentation largely...

Xiang Zhang, et al. ∙

Xiang Zhang

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