Yan Xu

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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
243 publications
Jiashi Feng
162 publications
Ruslan Salakhutdinov
141 publications
Yang Yang
133 publications
Dong Wang
127 publications
Shuicheng Yan
126 publications
Yu Cheng
97 publications
Hongsheng Li
89 publications
Hui Li
89 publications
Dahua Lin
88 publications
Qian Zhang
74 publications

Wide-Baseline Multi-Camera Calibration using Person Re-Identification

We address the problem of estimating the 3D pose of a network of cameras...
04/17/2021 ∙ by Yan Xu, et al. ∙ 0 ∙ share

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LIFE: Lighting Invariant Flow Estimation

We tackle the problem of estimating flow between two images with large l...
04/07/2021 ∙ by Zhaoyang Huang, et al. ∙ 0 ∙ share

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Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection

The consumer Internet of Things (IoT) have developed in recent years. Ma...
04/05/2021 ∙ by Yan Xu, et al. ∙ 0 ∙ share

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Dissipative and conservative local discontinuous Galerkin methods for the Fornberg-Whitham type equations

In this paper, we construct high order energy dissipative and conservati...
03/26/2021 ∙ by Qian Zhang, et al. ∙ 0 ∙ share

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Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Numerous task-specific variants of conditional generative adversarial ne...
03/18/2021 ∙ by Shengyu Zhao, et al. ∙ 11 ∙ share

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CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...
02/25/2021 ∙ by Yuanhan Zhang, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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