358 citations · 1.1k across the 59 of their papers we have counts for
16 papers · 1 filter
Scalable synthesis of 2D van der Waals superlattices
Michael J. Motala, Xiang Zhang, Pawan Kumar +23
Heterostructure materials form the basis of much of modern electronics, from transistors to lasers and light-emitting diodes. Recent years have seen a renewed focus on creating het…
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu, Wei Cheng, Dongsheng Luo +2
Various graph contrastive learning models have been proposed to improve the performance of learning tasks on graph datasets in recent years. While effective and prevalent, these mo…
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks
Xiang Zhang, Shamik Sarkar, Arupjyoti Bhuyan +2
We consider the problem of distributed downlink beam scheduling and power allocation for millimeter-Wave (mmWave) cellular networks where multiple base stations (BSs) belonging to…
Online Graph Learning in Dynamic Environments
Xiang Zhang
Inferring the underlying graph topology that characterizes structured data is pivotal to many graph-based models when pre-defined graphs are not available. This paper focuses on le…
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang +2
Contrastive learning has been widely applied to graph representation learning, where the view generators play a vital role in generating effective contrastive samples. Most of the…
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks
Ziyu Liu, Xiang Zhang
Electrocardiography (ECG) signal is a highly applied measurement for individual heart condition, and much effort have been endeavored towards automatic heart arrhythmia diagnosis b…
Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface
Shuhang Chen, Xiang Zhang, Xiang Shen +2
Brain-machine interfaces (BMIs) help the disabled restore body functions by translating neural activity into digital commands to control external devices. Neural adaptation, where…
A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing
Mingyue Ji, Xiang Zhang, Kai Wan
Elasticity is one important feature in modern cloud computing systems and can result in computation failure or significantly increase computing time. Such elasticity means that vir…
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
Xiang Zhang, Alexandre Drouin, Raymond Li
This article introduces byteSteady -- a fast model for classification using byte-level n-gram embeddings. byteSteady assumes that each input comes as a sequence of bytes. A represe…
Controlling Neural Networks with Rule Representations
Sungyong Seo, Sercan O. Arik, Jinsung Yoon +3
We propose a novel training method that integrates rules into deep learning, in a way the strengths of the rules are controllable at inference. Deep Neural Networks with Controllab…
BM-NAS: Bilevel Multimodal Neural Architecture Search
Yihang Yin, Siyu Huang, Xiang Zhang
Deep neural networks (DNNs) have shown superior performances on various multimodal learning problems. However, it often requires huge efforts to adapt DNNs to individual multimodal…
Unsupervised Document Embedding via Contrastive Augmentation
Dongsheng Luo, Wei Cheng, Jingchao Ni +8
We present a contrasting learning approach with data augmentation techniques to learn document representations in an unsupervised manner. Inspired by recent contrastive self-superv…
Learning Descriptor of Constrained Task from Demonstration
Xiang Zhang, Matteo Saveriano, Justus Piater
Constrained objects, such as doors and drawers are often complex and share a similar structure in the human environment. A robot needs to interact accurately with constrained objec…
Semi-Supervised Graph-to-Graph Translation
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang +1
Graph translation is very promising research direction and has a wide range of potential real-world applications. Graph is a natural structure for representing relationship and int…
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Node classification is an important research topic in graph learning. Graph neural networks (GNNs) have achieved state-of-the-art performance of node classification. However, exist…
Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing
Shamik Sarkar, Xiang Zhang, Arupjyoti Bhuyan +2
We propose using Carrier Sensing (CS) for distributed interference management in millimeter-wave (mmWave) cellular networks where spectrum is shared by multiple operators that do n…