Zhen Xu | DeepAI

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Yang Yu
155 publications
Hui Li
146 publications
Weinan Zhang
146 publications
Yang Zhang
141 publications
Lei Xie
137 publications
Kun Zhang
106 publications
Cheng Chen
78 publications
Sergio Escalera
76 publications
Lianwen Jin
69 publications
Jie Shen
67 publications
Xiaowei Zhou
67 publications

∙ 08/15/2023

Relightable and Animatable Neural Avatar from Sparse-View Video

This paper tackles the challenge of creating relightable and animatable ...

0 Zhen Xu, et al. ∙

∙ 02/23/2023

Learning Neural Volumetric Representations of Dynamic Humans in Minutes

This paper addresses the challenge of quickly reconstructing free-viewpo...

0 Chen Geng, et al. ∙

∙ 04/06/2022

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020

Graph structured data is ubiquitous in daily life and scientific areas a...

3 Zhen Xu, et al. ∙

∙ 03/15/2022

Animatable Neural Implicit Surfaces for Creating Avatars from Videos

This paper aims to reconstruct an animatable human model from a video of...

8 Sida Peng, et al. ∙

∙ 03/07/2022

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios

Human behavior forecasting during human-human interactions is of utmost ...

17 Germán Barquero, et al. ∙

∙ 03/04/2022

Didn't see that coming: a survey on non-verbal social human behavior forecasting

Non-verbal social human behavior forecasting has increasingly attracted ...

16 Germán Barquero, et al. ∙

∙ 12/02/2021

Efficient Neural Radiance Fields with Learned Depth-Guided Sampling

This paper aims to reduce the rendering time of generalizable radiance f...

4 Haotong Lin, et al. ∙

∙ 12/01/2021

Confidence Propagation Cluster: Unleash Full Potential of Object Detectors

It has been a long history that most object detection methods obtain obj...

3 Yichun Shen*, et al. ∙

∙ 10/12/2021

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone

Obtaining standardized crowdsourced benchmark of computational methods i...

2 Zhen Xu, et al. ∙

∙ 07/28/2021

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge

Analyzing better time series with limited human effort is of interest to...

6 Zhen Xu, et al. ∙

∙ 07/17/2021

BEDS-Bench: Behavior of EHR-models under Distributional Shift–A Benchmark

Machine learning has recently demonstrated impressive progress in predic...

19 Anand Avati, et al. ∙

∙ 06/24/2021

MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction

Visual Information Extraction (VIE) task aims to extract key information...

10 Guozhi Tang, et al. ∙

∙ 04/20/2021

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

This paper presents the results and insights from the black-box optimiza...

19 Ryan Turner, et al. ∙

∙ 02/03/2021

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

One important challenge of applying deep learning to electronic health r...

9 Zhen Xu, et al. ∙

∙ 02/01/2021

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning a good policy from ...

27 Rongjun Qin, et al. ∙

∙ 10/25/2020

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification

The AutoSpeech challenge calls for automated machine learning (AutoML) s...

12 Jingsong Wang, et al. ∙

∙ 04/24/2020

Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization

We propose a cumulative oversampling (CO) technique for Thompson Samplin...

2 Shatian Wang, et al. ∙

∙ 12/04/2019

Deep Physiological State Space Model for Clinical Forecasting

Clinical forecasting based on electronic medical records (EMR) can uncov...

0 Yuan Xue, et al. ∙

∙ 12/02/2019

Flow Contrastive Estimation of Energy-Based Models

This paper studies a training method to jointly estimate an energy-based...

43 Ruiqi Gao, et al. ∙

∙ 11/08/2019

Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints

We consider a brand with a given budget that wants to promote a product ...

0 Shatian Wang, et al. ∙

∙ 09/20/2019

Learning an Adaptive Learning Rate Schedule

The learning rate is one of the most important hyper-parameters for mode...

10 Zhen Xu, et al. ∙

∙ 06/11/2019

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records

Effective modeling of electronic health records (EHR) is rapidly becomin...

6 Edward Choi, et al. ∙

∙ 08/15/2017

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

This paper presents the Graph Analytics Repository for Designing Next-ge...

0 Zhen Xu, et al. ∙

∙ 11/07/2016

Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model

Social dynamics is concerned primarily with interactions among individua...

0 Zhen Xu, et al. ∙

∙ 05/17/2016

Incorporating Loose-Structured Knowledge into Conversation Modeling via Recall-Gate LSTM

Modeling human conversations is the essence for building satisfying chat...

0 Zhen Xu, et al. ∙

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