Xiang Zhang

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THE UNIVERSITY OF UTAH ∙ Facebook ∙ UNSW ∙ NYU college ∙ Clemson University ∙ Harvard University ∙ Peking University

Ph.D. student (since 2016) at School of Computer Science and Engineering, University of New South Wales (UNSW), Australia

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...
08/19/2020 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Automatic Image Labelling at Pixel Level

The performance of deep networks for semantic image segmentation largely...
07/15/2020 ∙ by Xiang Zhang, et al. ∙ 10 ∙ share

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GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Deep learning methods for graphs achieve remarkable performance on many ...
06/15/2020 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Literature Triage on Genomic Variation Publications by Knowledge-enhanced Multi-channel CNN

Background: To investigate the correlation between genomic variation and...
05/08/2020 ∙ by Chenhui Lv, et al. ∙ 0 ∙ share

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ProbaNet: Proposal-balanced Network for Object Detection

Candidate object proposals generated by object detectors based on convol...
05/06/2020 ∙ by Xiang Zhang, et al. ∙ 13 ∙ share

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Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification

The PICO framework (Population, Intervention, Comparison, and Outcome) i...
04/30/2020 ∙ by Tengteng Zhang, et al. ∙ 0 ∙ share

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WiFE: WiFi and Vision based Intelligent Facial-Gesture Emotion Recognition

Emotion is an essential part of Artificial Intelligence (AI) and human m...
04/21/2020 ∙ by Yu Gu, et al. ∙ 0 ∙ share

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Adversarial Imitation Attack

Deep learning models are known to be vulnerable to adversarial examples....
03/28/2020 ∙ by Mingyi Zhou, et al. ∙ 53 ∙ share

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Entity Profiling in Knowledge Graphs

Knowledge Graphs (KGs) are graph-structured knowledge bases storing fact...
02/29/2020 ∙ by Xiang Zhang, et al. ∙ 14 ∙ share

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A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification

Automatic identification of animal species by their vocalization is an i...
02/23/2020 ∙ by Weitao Xu, et al. ∙ 0 ∙ share

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Graph Computing based Distributed State Estimation with PMUs

Power system state estimation plays a fundamental and critical role in t...
02/20/2020 ∙ by Yi Lu, et al. ∙ 0 ∙ share

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Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

Objective: Epilepsy is a chronic neurological disorder characterized by ...
09/18/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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WiFi-based Real-time Breathing and Heart Rate Monitoring during Sleep

Good quality sleep is essential for good health and sleep monitoring bec...
08/14/2019 ∙ by Yu Gu, et al. ∙ 0 ∙ share

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Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning

Deep learning algorithms have achieved excellent performance lately in a...
07/31/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals

Synthesizing geometrical shapes from human brain activities is an intere...
07/31/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior

The ever evolving informatics technology has gradually bounded human and...
07/13/2019 ∙ by Yu Gu, et al. ∙ 0 ∙ share

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A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers

Brain-Computer Interface (BCI) bridges the human's neural world and the ...
05/10/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Adversarial Variational Embedding for Robust Semi-supervised Learning

Semi-supervised learning is sought for leveraging the unlabelled data wh...
05/07/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Cache-aided Interference Management Using Hypercube Combinatorial Cache Designs

We consider a cache-aided interference network which consists of a libra...
01/31/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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A New Design Framework on Device-to-Device Coded Caching with Optimal Rate and Significantly Less Subpacketizations

In this paper, we propose a new design framework on Device-to-Device (D2...
01/21/2019 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification

Aspect-level sentiment classification (ASC) aims at identifying sentimen...
11/16/2018 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation

This article proposes Adversarially-Trained Normalized Noisy-Feature Aut...
11/10/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network

Community Question Answering (CQA) websites can be claimed as the most m...
10/26/2018 ∙ by Chaoran Huang, et al. ∙ 0 ∙ share

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Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding

Electroencephalography (EEG) signals are known to manifest differential ...
10/04/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Action Representations in Robotics: A Taxonomy and Systematic Classification

Understanding and defining the meaning of "action" is substantial for ro...
09/12/2018 ∙ by Philipp Zech, et al. ∙ 0 ∙ share

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Surface Light Field Compression using a Point Cloud Codec

Light field (LF) representations aim to provide photo-realistic, free-vi...
05/29/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Learning Movement Assessment Primitives for Force Interaction Skills

We present a novel, reusable and task-agnostic primitive for assessing t...
05/11/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity

A Brain-Computer Interface (BCI) acquires brain signals, analyzes and tr...
05/01/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Multi-modality Sensor Data Classification with Selective Attention

Multimodal wearable sensor data classification plays an important role i...
04/16/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification

A novel learnable dictionary encoding layer is proposed in this paper fo...
04/02/2018 ∙ by Weicheng Cai, et al. ∙ 0 ∙ share

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Context-aware Human Intent Inference for Improving Human Machine Cooperation

The ability of human beings to precisely recog- nize others intents is a...
03/12/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks

Electroencephalography (EEG) signals reflect activities on certain brain...
02/12/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Byte-Level Recursive Convolutional Auto-Encoder for Text

This article proposes to auto-encode text at byte-level using convolutio...
02/06/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network

Person identification technology recognizes individuals by exploiting th...
11/16/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior

We introduce a new deep convolutional neural network, CrescendoNet, by s...
10/30/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

An electroencephalography (EEG) based brain activity recognition is a fu...
09/26/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

An electroencephalography (EEG) based Brain Computer Interface (BCI) ena...
09/26/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks

Brain-Computer Interface (BCI) is a system empowering humans to communic...
08/22/2017 ∙ by Dalin Zhang, et al. ∙ 0 ∙ share

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Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

This article offers an empirical study on the different ways of encoding...
08/08/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Learning to Predict Charges for Criminal Cases with Legal Basis

The charge prediction task is to determine appropriate charges for a giv...
07/28/2017 ∙ by Bingfeng Luo, et al. ∙ 0 ∙ share

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Globally Variance-Constrained Sparse Representation for Image Set Compression

Sparse representation presents an efficient approach to approximately re...
08/17/2016 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

A long-term goal of machine learning is to build intelligent conversatio...
11/21/2015 ∙ by Jesse Dodge, et al. ∙ 0 ∙ share

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Universum Prescription: Regularization using Unlabeled Data

This paper shows that simply prescribing "none of the above" labels to u...
11/11/2015 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Character-level Convolutional Networks for Text Classification

This article offers an empirical exploration on the use of character-lev...
09/04/2015 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Text Understanding from Scratch

This article demontrates that we can apply deep learning to text underst...
02/05/2015 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

We present an integrated framework for using Convolutional Networks for ...
12/21/2013 ∙ by Pierre Sermanet, et al. ∙ 0 ∙ share

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Xiang Zhang

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