b'Ke Wang'

research

∙ 06/25/2022

On how to avoid exacerbating spurious correlations when models are overparameterized

Overparameterized models fail to generalize well in the presence of data...

Tina Behnia, et al. ∙

research

∙ 06/02/2022

Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks

Space communications, particularly mega satellite networks, re-emerged a...

Bassel Al Homssi, et al. ∙

research

∙ 05/19/2022

An Efficient Piggybacking Design Framework with Sub-packetization l≤ r for All-Node Repair

Piggybacking design has been widely applied in distributed storage syste...

Ke Wang, et al. ∙

research

∙ 04/22/2022

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Smart cities play a vital role in the growth of a nation. In recent year...

Ke Wang, et al. ∙

research

∙ 04/04/2022

Experimental quantum adversarial learning with programmable superconducting qubits

Quantum computing promises to enhance machine learning and artificial in...

Wenhui Ren, et al. ∙

research

∙ 04/01/2022

i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems

Input features play a crucial role in the predictive performance of DNN-...

Yao Yao, et al. ∙

research

∙ 03/14/2022

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

Recently, various multimodal networks for Visually-Rich Document Underst...

Zhangxuan Gu, et al. ∙

research

∙ 02/08/2022

InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training

Denoising diffusion probabilistic models (diffusion models for short) re...

Zehua Chen, et al. ∙

research

∙ 12/30/2021

QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task

Quality Estimation, as a crucial step of quality control for machine tra...

Jiayi Wang, et al. ∙

research

∙ 12/09/2021

Differentially Private Ensemble Classifiers for Data Streams

Learning from continuous data streams via classification/regression is p...

Lovedeep Gondara, et al. ∙

research

∙ 10/08/2021

Next Generation Mega Satellite Networks: Opportunities, Challenges, and Performance

Digital connectivity has become the foundation of prosperity and an esse...

Bassel Al Homssi, et al. ∙

research

∙ 09/20/2021

Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a Decoupled Actuated SLIP Model

We present a highly reactive controller which enables bipedal robots to ...

Ke Wang, et al. ∙

research

∙ 09/16/2021

Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results

While open databases are an important resource in the Deep Learning (DL)...

Efrat Shimron, et al. ∙

research

∙ 09/15/2021

Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation

Quality Estimation (QE) plays an essential role in applications of Machi...

Ke Wang, et al. ∙

research

∙ 09/09/2021

A Unified Model with Inertia Shaping for Highly Dynamic Jumps of Legged Robots

To achieve highly dynamic jumps of legged robots, it is essential to con...

Ke Wang, et al. ∙

research

∙ 08/27/2021

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss

Purpose: To improve reconstruction fidelity of fine structures and textu...

Ke Wang, et al. ∙

research

∙ 07/11/2021

Combating fake news by empowering fact-checked news spread via topology-based interventions

Rapid information diffusion and large-scaled information cascades can en...

Ke Wang, et al. ∙

research

∙ 06/21/2021

Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation

The growing literature on "benign overfitting" in overparameterized mode...

Ke Wang, et al. ∙

research

∙ 05/14/2021

Learning Gaussian Graphical Models with Latent Confounders

Gaussian Graphical models (GGM) are widely used to estimate the network ...

Ke Wang, et al. ∙

research

∙ 03/23/2021

TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware

With the rapid development of blockchain technology, different types of ...

Ying Lan, et al. ∙

research

∙ 03/06/2021

Memory-efficient Learning for High-Dimensional MRI Reconstruction

Deep learning (DL) based unrolled reconstructions have shown state-of-th...

Ke Wang, et al. ∙

research

∙ 02/03/2021

TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment

While the requirements for reliability increasing rapidly in distributed...

Jiashuo Zhang, et al. ∙

research

∙ 01/04/2021

Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms

Existing malware detection approaches suffer from a simplistic trade-off...

Anandharaju Durai Raju, et al. ∙

research

∙ 12/22/2020

Salient Bundle Adjustment for Visual SLAM

Recently, the philosophy of visual saliency and attention has started to...

Ke Wang, et al. ∙

research

∙ 12/16/2020

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Reinforcement learning (RL) algorithms usually require a substantial amo...

Chaochao Lu, et al. ∙

research

∙ 11/18/2020

Benign Overfitting in Binary Classification of Gaussian Mixtures

Deep neural networks generalize well despite being exceedingly overparam...

Ke Wang, et al. ∙

research

∙ 10/08/2020

Assessing the Fairness of Classifiers with Collider Bias

The increasing maturity of machine learning technologies and their appli...

Zhenlong Xu, et al. ∙

research

∙ 09/19/2020

Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing

With the advent of neural machine translation, there has been a marked s...

Jiayi Wang, et al. ∙

research

∙ 09/06/2020

Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas

Visual odometry (VO) is a prevalent way to deal with the relative locali...

Ke Wang, et al. ∙

research

∙ 08/27/2020

Statistical inference for principal components of spiked covariance matrices

In this paper, we study the asymptotic behavior of the extreme eigenvalu...

Zhigang Bao, et al. ∙

research

∙ 08/11/2020

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems

Recommender systems play an important role in modern information and e-c...

Jiaxi Tang, et al. ∙

research

∙ 08/11/2020

A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation

Cooperative overtaking is believed to have the capability of improving r...

Junlan Chen, et al. ∙

research

∙ 08/10/2020

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge

Purpose: The aim of this work is to shed light on the issue of reproduci...

Oliver Maier, et al. ∙

research

∙ 08/05/2020

A feature-supervised generative adversarial network for environmental monitoring during hazy days

The adverse haze weather condition has brought considerable difficulties...

Ke Wang, et al. ∙

research

∙ 07/27/2020

The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China

China is the world's largest automotive market and is ambitious for auto...

Ke Wang, et al. ∙

research

∙ 07/22/2020

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach

Knowledge graph embedding, which aims to learn the low-dimensional repre...

Yonghui Xu, et al. ∙

research

∙ 07/01/2020

Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots

Online footstep planning is essential for bipedal walking robots to be a...

Digby Chappell, et al. ∙

research

∙ 06/14/2020

Relative Pose Estimation for Stereo Rolling Shutter Cameras

In this paper, we present a novel linear algorithm to estimate the 6 DoF...

Ke Wang, et al. ∙

research

∙ 05/18/2020

Learning Semantic Program Embeddings with Graph Interval Neural Network

Learning distributed representations of source code has been a challengi...

Yu Wang, et al. ∙

research

∙ 05/18/2020

Learning Semantic Program Embeddings with GraphInterval Neural Network

Learning distributed representations of source code has been a challengi...

Yu Wang, et al. ∙

research

∙ 05/13/2020

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

The current deep learning based visual tracking approaches have been ver...

Ning Zhang, et al. ∙

research

∙ 03/23/2020

CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation

Breast ultrasound (BUS) image segmentation plays a crucial role in a com...

Zhenyuan Ning, et al. ∙

research

∙ 11/13/2019

IStego100K: Large-scale Image Steganalysis Dataset

In order to promote the rapid development of image steganalysis technolo...

Zhongliang Yang, et al. ∙

research

∙ 10/16/2019

FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment

Many approaches have been proposed to estimate camera poses by directly ...

Ke Wang, et al. ∙

research

∙ 10/15/2019

AI Benchmark: All About Deep Learning on Smartphones in 2019

The performance of mobile AI accelerators has been evolving rapidly in t...

Andrey Ignatov, et al. ∙

research

∙ 10/15/2019

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference

We present a modern scalable reinforcement learning agent called SEED (S...

Lasse Espeholt, et al. ∙

research

∙ 10/04/2019

Differentially Private Survival Function Estimation

Survival function estimation is used in many disciplines, but it is most...

Lovedeep Gondara, et al. ∙

research

∙ 08/25/2019

Testing Neural Program Analyzers

Deep neural networks have been increasingly used in software engineering...

Md Rafiqul Islam Rabin, et al. ∙

research

∙ 08/25/2019

Testing Neural Programs

Deep neural networks have been increasingly used in software engineering...

Md Rafiqul Islam Rabin, et al. ∙

research

∙ 07/29/2019

Principal components of spiked covariance matrices in the supercritical regime

In this paper, we study the asymptotic behavior of the extreme eigenvalu...

Zhigang Bao, et al. ∙

Ke Wang

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