b'Xi Zhang'

research

∙ 02/14/2023

HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces

Recent advances in neural implicit surfaces for multi-view 3D reconstruc...

0 Erich Liang, et al. ∙

research

∙ 02/13/2023

Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion

Ultra high resolution (UHR) images are almost always downsampled to fit ...

0 Xi Zhang, et al. ∙

research

∙ 02/10/2023

Balancing Approach for Causal Inference at Scale

With the modern software and online platforms to collect massive amount ...

0 Sicheng Lin, et al. ∙

research

∙ 12/28/2022

Robust Ranking Explanations

Gradient-based explanation is the cornerstone of explainable deep networ...

0 Chao Chen, et al. ∙

research

∙ 12/09/2022

SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection

LiDAR and camera are two essential sensors for 3D object detection in au...

0 Qi Jiang, et al. ∙

research

∙ 09/06/2022

Unsupervised Scene Sketch to Photo Synthesis

Sketches make an intuitive and powerful visual expression as they are fa...

0 Jiayun Wang, et al. ∙

research

∙ 04/24/2022

Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users

Risk assessment is a substantial problem for financial institutions that...

0 Zheng Zhang, et al. ∙

research

∙ 04/24/2022

Subgroup Fairness in Graph-based Spam Detection

Fake reviews are prevalent on review websites such as Amazon and Yelp. G...

0 Jiaxin Liu, et al. ∙

research

∙ 04/11/2022

Structured Graph Variational Autoencoders for Indoor Furniture layout Generation

We present a structured graph variational autoencoder for generating the...

0 Aditya Chattopadhyay, et al. ∙

research

∙ 11/29/2021

Multi-objective Explanations of GNN Predictions

Graph Neural Network (GNN) has achieved state-of-the-art performance in ...

6 Yifei Liu, et al. ∙

research

∙ 11/19/2021

Explaining GNN over Evolving Graphs using Information Flow

Graphs are ubiquitous in many applications, such as social networks, kno...

0 Yazheng Liu, et al. ∙

research

∙ 10/12/2021

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

We introduce Amazon-Berkeley Objects (ABO), a new large-scale dataset of...

10 Jasmine Collins, et al. ∙

research

∙ 10/01/2021

RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View

In this paper, we present a new approach to estimate the layout of a roo...

0 Xi Zhang, et al. ∙

research

∙ 09/15/2021

Self-learn to Explain Siamese Networks Robustly

Learning to compare two objects are essential in applications, such as d...

25 Chao Chen, et al. ∙

research

∙ 05/23/2021

THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences

Learning Granger causality among event types on multi-type event sequenc...

0 Ruichu Cai, et al. ∙

research

∙ 05/07/2021

An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks

Alarm root cause analysis is a significant component in the day-to-day t...

0 Keli Zhang, et al. ∙

research

∙ 03/29/2021

Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton

We propose a deep learning system for attention-guided dual-layer image ...

0 Xi Zhang, et al. ∙

research

∙ 10/29/2020

CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments

In many industry settings, online controlled experimentation (A/B test) ...

0 Weinan Wang, et al. ∙

research

∙ 08/02/2020

Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

We propose a novel deep multi-modality neural network for restoring very...

8 Yanhui Guo, et al. ∙

research

∙ 06/27/2020

Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density

Type 2 diabetes (T2DM), one of the most prevalent chronic diseases, affe...

0 Wei Wang, et al. ∙

research

∙ 04/21/2020

Rigorous Explanation of Inference on Probabilistic Graphical Models

Probabilistic graphical models, such as Markov random fields (MRF), expl...

0 Yifei Liu, et al. ∙

research

∙ 02/10/2020

Ultra High Fidelity Image Compression with ℓ_∞-constrained Encoding and Deep Decoding

In many professional fields, such as medicine, remote sensing and scienc...

0 Xi Zhang, et al. ∙

research

∙ 02/07/2020

MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing

Personal mobile sensing is fast permeating our daily lives to enable act...

0 Yu Zhang, et al. ∙

research

∙ 11/26/2019

Finding Route Hotspots in Large Labeled Networks

In many advanced network analysis applications, like social networks, e-...

0 Mingtao Lei, et al. ∙

research

∙ 08/13/2019

Scalable Explanation of Inferences on Large Graphs

Probabilistic inferences distill knowledge from graphs to aid human make...

0 Chao Chen, et al. ∙

research

∙ 05/31/2019

When Full Duplex Wireless Meets Non-Orthogonal Multiple Access: Opportunities and Challenges

Non-orthogonal multiple access (NOMA) is a promising radio access techno...

0 Xianhao Chen, et al. ∙

research

∙ 11/15/2018

Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Combining deep neural networks with reinforcement learning has shown gre...

0 Fan Wang, et al. ∙

research

∙ 10/30/2018

Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding

Deep convolutional neural networks (DCNN) have enjoyed great successes i...

1 Xi Zhang, et al. ∙

research

∙ 09/17/2018

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network

With the arrival of the big data era, more and more data are becoming re...

0 Xi Zhang, et al. ∙

research

∙ 09/02/2018

Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data

Traditional stock market prediction methods commonly only utilize the hi...

0 Xi Zhang, et al. ∙

research

∙ 06/26/2018

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations

This paper presents details of our winning solutions to the task IV of N...

0 Xi Zhang, et al. ∙

research

∙ 06/08/2018

Generating Image Sequence from Description with LSTM Conditional GAN

Generating images from word descriptions is a challenging task. Generati...

0 Xu Ouyang, et al. ∙

research

∙ 05/28/2018

The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques

With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, ...

0 Tiantian Ji, et al. ∙

research

∙ 05/28/2018

The Coming Era of AlphaHacking?

With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, ...

0 Tiantian Ji, et al. ∙

research

∙ 05/28/2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

Precise segmentation of bladder walls and tumor regions is an essential ...

0 Jose Dolz, et al. ∙

research

∙ 05/22/2018

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

Parkinson's Disease (PD) is one of the most prevalent neurodegenerative ...

0 Xi Zhang, et al. ∙

research

∙ 05/21/2018

A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction

The investment on the stock market is prone to be affected by the Intern...

0 Jieyun Huang, et al. ∙

research

∙ 05/09/2018

Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask

Using a layered representation for motion estimation has the advantage o...

0 Xi Zhang, et al. ∙

research

∙ 02/09/2018

Two Is Harder To Recognize Than Tom: the Challenge of Visual Numerosity for Deep Learning

In the spirit of Turing test, we design and conduct a set of visual nume...

0 Xiaolin Wu, et al. ∙

research

∙ 01/18/2018

Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network

Recently a number of CNN-based techniques were proposed to remove image ...

0 Xi Zhang, et al. ∙

research

∙ 01/02/2018

Exploiting Investors Social Network for Stock Prediction in China's Market

Recent works have shown that social media platforms are able to influenc...

0 Xi Zhang, et al. ∙

research

∙ 12/02/2017

Lecture video indexing using boosted margin maximizing neural networks

This paper presents a novel approach for lecture video indexing using a ...

0 Di Ma, et al. ∙

research

∙ 11/26/2017

HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval

As the rapid growth of multi-modal data, hashing methods for cross-modal...

0 Xi Zhang, et al. ∙

research

∙ 11/15/2017

Aicyber's System for NLPCC 2017 Shared Task 2: Voting of Baselines

This paper presents Aicyber's system for NLPCC 2017 shared task 2. It is...

0 Du Steven, et al. ∙

research

∙ 12/11/2016

Automated Inference on Sociopsychological Impressions of Attractive Female Faces

This article is a sequel to our earlier work [25]. The main objective of...

0 Xiaolin Wu, et al. ∙

research

∙ 11/13/2016

Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

In November 2016 we submitted to arXiv our paper "Automated Inference on...

0 Xiaolin Wu, et al. ∙

research

∙ 03/03/2016

Modular Decomposition and Analysis of Registration based Trackers

This paper presents a new way to study registration based trackers by de...

0 Abhineet Singh, et al. ∙

research

∙ 09/17/2015

Learning from Synthetic Data Using a Stacked Multichannel Autoencoder

Learning from synthetic data has many important and practical applicatio...

0 Xi Zhang, et al. ∙

research

∙ 03/11/2015

Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder

We propose a method for using synthetic data to help learning classifier...

0 Xi Zhang, et al. ∙

Xi Zhang

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