Yan Xu

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Shandong University

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Panasonic Corporation of North America

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Huazhong University of Science u0026 Technology

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Microsoft

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The University of Hong Kong

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SAS

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Carnegie Mellon University

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Peking University

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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
320 publications
Sharky.TV
201 publications
Yang Yang
183 publications
Dong Wang
179 publications
Xiaogang Wang
178 publications
Ruslan Salakhutdinov
174 publications
Chang Liu
166 publications
Shuicheng Yan
151 publications
Hongsheng Li
139 publications
Yu Cheng
119 publications
Dahua Lin
115 publications

∙ 05/18/2022

3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis

Potential radioactive hazards in full-dose positron emission tomography ...

Yang Zhou, et al. ∙

∙ 05/18/2022

Transformer based multiple instance learning for weakly supervised histopathology image segmentation

Hispathological image segmentation algorithms play a critical role in co...

Ziniu Qian, et al. ∙

∙ 05/12/2022

AiSocrates: Towards Answering Ethical Quandary Questions

Considerable advancements have been made in various NLP tasks based on t...

Yejin Bang, et al. ∙

∙ 04/13/2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Lung cancer is the leading cause of cancer death worldwide, and adenocar...

Chu Han, et al. ∙

∙ 04/13/2022

Can Question Rewriting Help Conversational Question Answering?

Question rewriting (QR) is a subtask of conversational question answerin...

Etsuko Ishii, et al. ∙

∙ 03/24/2022

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization

6-DoF object pose estimation from a monocular image is challenging, and ...

Yan Xu, et al. ∙

∙ 02/27/2022

Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling

The correct ego-motion estimation basically relies on the understanding ...

Yan Xu, et al. ∙

∙ 01/20/2022

Numerical simulation of singularity propagation modeled by linear convection equations with spatially heterogeneous nonlocal interactions

We study the propagation of singularities in solutions of linear convect...

Xiaoxuan Yu, et al. ∙

∙ 12/13/2021

Pedestrian Trajectory Prediction via Spatial Interaction Transformer Network

As a core technology of the autonomous driving system, pedestrian trajec...

Tong Su, et al. ∙

∙ 10/29/2021

Whole Brain Segmentation with Full Volume Neural Network

Whole brain segmentation is an important neuroimaging task that segments...

Yeshu Li, et al. ∙

∙ 07/16/2021

Tracing Halpha Fibrils through Bayesian Deep Learning

We present a new deep learning method, dubbed FibrilNet, for tracing chr...

Haodi Jiang, et al. ∙

∙ 06/07/2021

CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System

Information-seeking dialogue systems, including knowledge identification...

Etsuko Ishii, et al. ∙

∙ 05/28/2021

Extended Cyclic Codes Sandwiched Between Reed-Muller Codes

The famous Barnes-Wall lattices can be obtained by applying Construction...

Changjiang Ji, et al. ∙

∙ 05/23/2021

VS-Net: Voting with Segmentation for Visual Localization

Visual localization is of great importance in robotics and computer visi...

Zhaoyang Huang, et al. ∙

∙ 05/13/2021

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters

To diversify and enrich generated dialogue responses, knowledge-grounded...

Yan Xu, et al. ∙

∙ 04/17/2021

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

We address the problem of estimating the 3D pose of a network of cameras...

Yan Xu, et al. ∙

∙ 04/07/2021

LIFE: Lighting Invariant Flow Estimation

We tackle the problem of estimating flow between two images with large l...

Zhaoyang Huang, et al. ∙

∙ 04/05/2021

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

The consumer Internet of Things (IoT) have developed in recent years. Ma...

Yan Xu, et al. ∙

∙ 03/26/2021

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

In this paper, we construct high order energy dissipative and conservati...

Qian Zhang, et al. ∙

∙ 03/18/2021

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Numerous task-specific variants of conditional generative adversarial ne...

Shengyu Zhao, et al. ∙

∙ 02/25/2021

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

As facial interaction systems are prevalently deployed, security and rel...

Yuanhan Zhang, et al. ∙

∙ 12/08/2020

CrossNER: Evaluating Cross-Domain Named Entity Recognition

Cross-domain named entity recognition (NER) models are able to cope with...

Zihan Liu, et al. ∙

∙ 10/19/2020

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

Recent learning-based LiDAR odometry methods have demonstrated their com...

Yan Xu, et al. ∙

∙ 10/19/2020

Multi-hop Question Generation with Graph Convolutional Network

Multi-hop Question Generation (QG) aims to generate answer-related quest...

Dan Su, et al. ∙

∙ 10/06/2020

Microscopic fine-grained instance classification through deep attention

Fine-grained classification of microscopic image data with limited sampl...

Mengran Fan, et al. ∙

∙ 09/28/2020

Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems

Task-oriented dialogue systems are either modularized with separate dial...

Andrea Madotto, et al. ∙

∙ 08/22/2020

Few-Shot Learning with Intra-Class Knowledge Transfer

We consider the few-shot classification task with an unbalanced dataset,...

Vivek Roy, et al. ∙

∙ 06/30/2020

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...

Xin Chen, et al. ∙

∙ 05/04/2020

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...

Dan Su, et al. ∙

∙ 04/06/2020

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

Multi-class 3D object detection aims to localize and classify objects of...

Xinge Zhu, et al. ∙

∙ 03/24/2020

MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

Feature warping is a core technique in optical flow estimation; however,...

Shengyu Zhao, et al. ∙

∙ 03/17/2020

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

Although deep neural networks (DNNs) have achieved fantastic success in ...

Yihao Luo, et al. ∙

∙ 03/12/2020

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...

Qi Tao, et al. ∙

∙ 01/03/2020

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

Cloud auctions provide cost-effective strategies for cloud VM allocation...

Zhili Chen, et al. ∙

∙ 01/03/2020

Differentially Private Combinatorial Cloud Auction

Cloud service providers typically provide different types of virtual mac...

Tianjiao Ni, et al. ∙

∙ 12/12/2019

Estimating 3D Camera Pose from 2D Pedestrian Trajectories

We consider the task of re-calibrating the 3D pose of a static surveilla...

Yan Xu, et al. ∙

∙ 11/11/2019

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

Despite the surging demands for multilingual task-oriented dialog system...

Zihan Liu, et al. ∙

∙ 10/15/2019

Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

Depth completion aims to recover dense depth maps from sparse depth meas...

Yan Xu, et al. ∙

∙ 08/16/2019

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

This paper describes CAiRE's submission to the unsupervised machine tran...

Zihan Liu, et al. ∙

∙ 08/14/2019

Constrained Multi-Objective Optimization for Automated Machine Learning

Automated machine learning has gained a lot of attention recently. Build...

Steven Gardner, et al. ∙

∙ 08/10/2019

Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics

With the rapid development of GPS enabled devices (smartphones) and loca...

Zhili Chen, et al. ∙

∙ 07/29/2019

Recursive Cascaded Networks for Unsupervised Medical Image Registration

We present recursive cascaded networks, a general architecture that enab...

Shengyu Zhao, et al. ∙

∙ 06/10/2019

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...

Genta Indra Winata, et al. ∙

∙ 05/10/2019

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...

Yan Xu, et al. ∙

∙ 02/13/2019

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

3D medical image registration is of great clinical importance. However, ...

Tingfung Lau, et al. ∙

∙ 10/18/2018

Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter

Truthful spectrum auction is believed to be an effective method for spec...

Zhili Chen, et al. ∙

∙ 09/02/2018

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...

Jian Zhao, et al. ∙

∙ 07/22/2018

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

Tumor proliferation is an important biomarker indicative of the prognosi...

Mitko Veta, et al. ∙

∙ 06/22/2018

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning

Humans are able to understand and perform complex tasks by strategically...

Xinlei Pan, et al. ∙

∙ 06/21/2018

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...

Yan Xu, et al. ∙