Yan Xu

is this you? claim profile

∙ 0 followers
Panasonic Corporation of North America ∙ Huazhong University of Science u0026 Technology ∙ Microsoft ∙ The University of Hong Kong ∙ SAS ∙ Carnegie Mellon University ∙ Peking University ∙ The Chinese University of Hong Kong

Machine Learning PhD, Scientist II at PROS, Founder and Speaker at Houston Machine Learning since 2016, Scientist I at PROS from 2016-2017, Research Assistant at University of Houston from 2011-2015, Algorithm Intern at Ambarella Inc. 2015, Software engineer at Dian Group from 2010-2011, Research Assistant at Internet Technology and Engineering R&D Center 2009-2010.

Featured Co-authors

Wei Liu
228 publications
Jiashi Feng
154 publications
Ruslan Salakhutdinov
133 publications
Shuicheng Yan
125 publications
Dong Wang
120 publications
Yang Yang
119 publications
Yu Cheng
89 publications
Dahua Lin
85 publications
Hongsheng Li
79 publications
Yang Li
74 publications
Peng Xu
72 publications

CrossNER: Evaluating Cross-Domain Named Entity Recognition

Cross-domain named entity recognition (NER) models are able to cope with...
12/08/2020 ∙ by Zihan Liu, et al. ∙ 7 ∙ share

read it
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

Recent learning-based LiDAR odometry methods have demonstrated their com...
10/19/2020 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
Multi-hop Question Generation with Graph Convolutional Network

Multi-hop Question Generation (QG) aims to generate answer-related quest...
10/19/2020 ∙ by Dan Su, et al. ∙ 10 ∙ share

read it
Microscopic fine-grained instance classification through deep attention

Fine-grained classification of microscopic image data with limited sampl...
10/06/2020 ∙ by Mengran Fan, et al. ∙ 64 ∙ share

read it
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems

Task-oriented dialogue systems are either modularized with separate dial...
09/28/2020 ∙ by Andrea Madotto, et al. ∙ 4 ∙ share

read it
Few-Shot Learning with Intra-Class Knowledge Transfer

We consider the few-shot classification task with an unbalanced dataset,...
08/22/2020 ∙ by Vivek Roy, et al. ∙ 23 ∙ share

read it
Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data

Estimation of the covariance matrix of asset returns is crucial to portf...
06/30/2020 ∙ by Xin Chen, et al. ∙ 0 ∙ share

read it
CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research

To address the need for refined information in COVID-19 pandemic, we pro...
05/04/2020 ∙ by Dan Su, et al. ∙ 0 ∙ share

read it
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Multi-class 3D object detection aims to localize and classify objects of...
04/06/2020 ∙ by Xinge Zhu, et al. ∙ 0 ∙ share

read it
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

Feature warping is a core technique in optical flow estimation; however,...
03/24/2020 ∙ by Shengyu Zhao, et al. ∙ 4 ∙ share

read it
SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking

Although deep neural networks (DNNs) have achieved fantastic success in ...
03/17/2020 ∙ by Yihao Luo, et al. ∙ 13 ∙ share

read it
An ultraweak-local discontinuous Galerkin method for PDEs with high order spatial derivatives

In this paper, we develop a new discontinuous Galerkin method for solvin...
03/12/2020 ∙ by Qi Tao, et al. ∙ 0 ∙ share

read it
Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain

Cloud auctions provide cost-effective strategies for cloud VM allocation...
01/03/2020 ∙ by Zhili Chen, et al. ∙ 0 ∙ share

read it
Differentially Private Combinatorial Cloud Auction

Cloud service providers typically provide different types of virtual mac...
01/03/2020 ∙ by Tianjiao Ni, et al. ∙ 0 ∙ share

read it
Estimating 3D Camera Pose from 2D Pedestrian Trajectories

We consider the task of re-calibrating the 3D pose of a static surveilla...
12/12/2019 ∙ by Yan Xu, et al. ∙ 20 ∙ share

read it
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

Despite the surging demands for multilingual task-oriented dialog system...
11/11/2019 ∙ by Zihan Liu, et al. ∙ 0 ∙ share

read it
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

Depth completion aims to recover dense depth maps from sparse depth meas...
10/15/2019 ∙ by Yan Xu, et al. ∙ 27 ∙ share

read it
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

This paper describes CAiRE's submission to the unsupervised machine tran...
08/16/2019 ∙ by Zihan Liu, et al. ∙ 0 ∙ share

read it
Constrained Multi-Objective Optimization for Automated Machine Learning

Automated machine learning has gained a lot of attention recently. Build...
08/14/2019 ∙ by Steven Gardner, et al. ∙ 0 ∙ share

read it
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics

With the rapid development of GPS enabled devices (smartphones) and loca...
08/10/2019 ∙ by Zhili Chen, et al. ∙ 0 ∙ share

read it
Recursive Cascaded Networks for Unsupervised Medical Image Registration

We present recursive cascaded networks, a general architecture that enab...
07/29/2019 ∙ by Shengyu Zhao, et al. ∙ 0 ∙ share

read it
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification

Detecting emotion from dialogue is a challenge that has not yet been ext...
06/10/2019 ∙ by Genta Indra Winata, et al. ∙ 0 ∙ share

read it
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

In this work, we study the robustness of a CNN+RNN based image captionin...
05/10/2019 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network

3D medical image registration is of great clinical importance. However, ...
02/13/2019 ∙ by Tingfung Lau, et al. ∙ 0 ∙ share

read it
Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter

Truthful spectrum auction is believed to be an effective method for spec...
10/18/2018 ∙ by Zhili Chen, et al. ∙ 0 ∙ share

read it
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Despite the remarkable progress in face recognition related technologies...
09/02/2018 ∙ by Jian Zhao, et al. ∙ 0 ∙ share

read it
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Tumor proliferation is an important biomarker indicative of the prognosi...
07/22/2018 ∙ by Mitko Veta, et al. ∙ 0 ∙ share

read it
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning

Humans are able to understand and perform complex tasks by strategically...
06/22/2018 ∙ by Xinlei Pan, et al. ∙ 0 ∙ share

read it
Bayesian hierarchical models for SNP discovery from genome-wide association studies, a semi-supervised machine learning approach

Genome-wide association studies (GWASs) aim to detect genetic risk facto...
06/21/2018 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning

Machine learning applications often require hyperparameter tuning. The h...
04/20/2018 ∙ by Patrick Koch, et al. ∙ 0 ∙ share

read it
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation

We develop a novel cross-modality generation framework that learns to ge...
01/22/2018 ∙ by Qianye Yang, et al. ∙ 0 ∙ share

read it
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks

The visual attributes of cells, such as the nuclear morphology and chrom...
11/30/2017 ∙ by Bo Hu, et al. ∙ 0 ∙ share

read it
Unsupervised End-to-end Learning for Deformable Medical Image Registration

We propose a registration algorithm for 2D CT/MRI medical images with a ...
11/23/2017 ∙ by Siyuan Shan, et al. ∙ 0 ∙ share

read it
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device

This paper proposes a practical approach for automatic sleep stage class...
11/02/2017 ∙ by Xin Zhang, et al. ∙ 0 ∙ share

read it
Constrained Deep Weak Supervision for Histopathology Image Segmentation

In this paper, we develop a new weakly-supervised learning algorithm to ...
01/03/2017 ∙ by Zhipeng Jia, et al. ∙ 0 ∙ share

read it
Optimizing Quantiles in Preference-based Markov Decision Processes

In the Markov decision process model, policies are usually evaluated by ...
12/01/2016 ∙ by Hugo Gilbert, et al. ∙ 0 ∙ share

read it
Learning Multi-level Features For Sensor-based Human Action Recognition

This paper proposes a multi-level feature learning framework for human a...
11/22/2016 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
Gland Instance Segmentation Using Deep Multichannel Neural Networks

Objective: A new image instance segmentation method is proposed to segme...
11/21/2016 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance

In this paper, we propose an innovative end-to-end subtitle detection an...
11/18/2016 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
Compressing Neural Language Models by Sparse Word Representations

Neural networks are among the state-of-the-art techniques for language m...
10/13/2016 ∙ by Yunchuan Chen, et al. ∙ 0 ∙ share

read it
Gland Instance Segmentation by Deep Multichannel Side Supervision

In this paper, we propose a new image instance segmentation method that ...
07/12/2016 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
How Transferable are Neural Networks in NLP Applications?

Transfer learning is aimed to make use of valuable knowledge in a source...
03/19/2016 ∙ by Lili Mou, et al. ∙ 0 ∙ share

read it
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

Nowadays, neural networks play an important role in the task of relation...
01/14/2016 ∙ by Yan Xu, et al. ∙ 0 ∙ share

read it
Natural Language Inference by Tree-Based Convolution and Heuristic Matching

In this paper, we propose the TBCNN-pair model to recognize entailment a...
12/28/2015 ∙ by Lili Mou, et al. ∙ 0 ∙ share

read it
Discriminative Neural Sentence Modeling by Tree-Based Convolution

This paper proposes a tree-based convolutional neural network (TBCNN) fo...
04/05/2015 ∙ by Lili Mou, et al. ∙ 0 ∙ share

read it
Building Program Vector Representations for Deep Learning

Deep learning has made significant breakthroughs in various fields of ar...
09/11/2014 ∙ by Lili Mou, et al. ∙ 0 ∙ share

read it