Xiang Zhang

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

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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Xiang Zhang

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