Yu Wang

Few-Shot Drum Transcription in Polyphonic Music

Data-driven approaches to automatic drum transcription (ADT) are often l...
08/06/2020 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Physical Adversarial Attack on Vehicle Detector in the Carla Simulator

In this paper, we tackle the issue of physical adversarial examples for ...
07/31/2020 ∙ by Tong Wu, et al. ∙ 4 ∙ share

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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

We present a new loss function called Distribution-Balanced Loss for the...
07/19/2020 ∙ by Tong Wu, et al. ∙ 26 ∙ share

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Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification

Deep neural networks are highly effective when a large number of labeled...
07/13/2020 ∙ by Yucan Zhou, et al. ∙ 5 ∙ share

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ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

Computational biology and bioinformatics provide vast data gold-mines fr...
07/13/2020 ∙ by Ahmed Elnaggar, et al. ∙ 5 ∙ share

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Context-Aware Temporal Logic for Probabilistic Systems

In this paper, we introduce the context-aware probabilistic temporal log...
07/11/2020 ∙ by Mahmoud Elfar, et al. ∙ 0 ∙ share

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GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

Graph Neural Networks (GNNs) have achieved significant improvements in v...
07/07/2020 ∙ by Guyue Huang, et al. ∙ 0 ∙ share

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Monitoring Depression Trend on Twitter during the COVID-19 Pandemic

The COVID-19 pandemic has severely affected people's daily lives and cau...
07/01/2020 ∙ by Yipeng Zhang, et al. ∙ 0 ∙ share

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2nd Place Solution for Waymo Open Dataset Challenge – 2D Object Detection

A practical autonomous driving system urges the need to reliably and acc...
06/28/2020 ∙ by Sijia Chen, et al. ∙ 0 ∙ share

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1st Place Solutions for Waymo Open Dataset Challenges – 2D and 3D Tracking

This technical report presents the online and real-time 2D and 3D multi-...
06/28/2020 ∙ by Yu Wang, et al. ∙ 10 ∙ share

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1st Place Solution for Waymo Open Dataset Challenge – 3D Detection and Domain Adaptation

In this technical report, we introduce our winning solution "HorizonLiDA...
06/28/2020 ∙ by Zhuangzhuang Ding, et al. ∙ 32 ∙ share

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AFDet: Anchor Free One Stage 3D Object Detection

High-efficiency point cloud 3D object detection operated on embedded sys...
06/23/2020 ∙ by Runzhou Ge, et al. ∙ 12 ∙ share

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Learning a Unified Sample Weighting Network for Object Detection

Region sampling or weighting is significantly important to the success o...
06/11/2020 ∙ by Qi Cai, et al. ∙ 10 ∙ share

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Deep Learning for Stable Monotone Dynamical Systems

Monotone systems, originating from real-world (e.g., biological or chemi...
06/11/2020 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Towards Lower Bit Multiplication for Convolutional Neural Network Training

Convolutional Neural Networks (CNNs) have been widely used in many field...
06/04/2020 ∙ by Kai Zhong, et al. ∙ 12 ∙ share

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Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data

The incidence of Acute Kidney Injury (AKI) commonly happens in the Inten...
05/27/2020 ∙ by Yu Wang, et al. ∙ 17 ∙ share

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A Complex KBQA System using Multiple Reasoning Paths

Multi-hop knowledge based question answering (KBQA) is a complex task fo...
05/22/2020 ∙ by Kechen Qin, et al. ∙ 6 ∙ share

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Learning Semantic Program Embeddings with Graph Interval Neural Network

Learning distributed representations of source code has been a challengi...
05/18/2020 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Learning Semantic Program Embeddings with GraphInterval Neural Network

Learning distributed representations of source code has been a challengi...
05/18/2020 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Curating a COVID-19 data repository and forecasting county-level death counts in the United States

As the COVID-19 outbreak continues to evolve, accurate forecasting conti...
05/16/2020 ∙ by Nick Altieri, et al. ∙ 0 ∙ share

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Energy-Aware DNN Graph Optimization

Unlike existing work in deep neural network (DNN) graphs optimization fo...
05/12/2020 ∙ by Yu Wang, et al. ∙ 3 ∙ share

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In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19

During the COVID-19 pandemic, "Chinese Virus" emerged as a controversial...
04/21/2020 ∙ by Long Chen, et al. ∙ 0 ∙ share

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The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic

Recently, the pandemic of the novel Coronavirus Disease-2019 (COVID-19) ...
04/21/2020 ∙ by Viet Duong, et al. ∙ 0 ∙ share

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Adversarial Training for Large Neural Language Models

Generalization and robustness are both key desiderata for designing mach...
04/20/2020 ∙ by Xiaodong Liu, et al. ∙ 0 ∙ share

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DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Budgeted pruning is the problem of pruning under resource constraints. I...
04/05/2020 ∙ by Xuefei Ning, et al. ∙ 2 ∙ share

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A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

This work proposes a novel Graph-based neural ArchiTecture Encoding Sche...
04/04/2020 ∙ by Xuefei Ning, et al. ∙ 6 ∙ share

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Differential Privacy for Sequential Algorithms

We study the differential privacy of sequential statistical inference an...
04/01/2020 ∙ by Yu Wang, et al. ∙ 7 ∙ share

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Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning

Probabilistic Computation Tree Logic (PCTL) is frequently used to formal...
04/01/2020 ∙ by Yu Wang, et al. ∙ 1 ∙ share

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Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud

FPGAs have shown great potential in providing low-latency and energy-eff...
03/26/2020 ∙ by Shulin Zeng, et al. ∙ 4 ∙ share

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Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks

Deep neural networks have been successfully applied to solving the video...
03/21/2020 ∙ by Yang Feng, et al. ∙ 0 ∙ share

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FTT-NAS: Discovering Fault-Tolerant Neural Architecture

With the fast evolvement of embedded deep-learning computing systems, ap...
03/20/2020 ∙ by Xuefei Ning, et al. ∙ 10 ∙ share

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UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

We propose to pre-train a unified language model for both autoencoding a...
02/28/2020 ∙ by Hangbo Bao, et al. ∙ 0 ∙ share

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The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

We present MT-DNN, an open-source natural language understanding (NLU) t...
02/19/2020 ∙ by Xiaodong Liu, et al. ∙ 0 ∙ share

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Application of Pre-training Models in Named Entity Recognition

Named Entity Recognition (NER) is a fundamental Natural Language Process...
02/09/2020 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Approximately Optimal Spatial Design: How Good is it?

The increasing recognition of the association between adverse human heal...
02/03/2020 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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The Sylvester Graphical Lasso (SyGlasso)

This paper introduces the Sylvester graphical lasso (SyGlasso) that capt...
02/01/2020 ∙ by Yu Wang, et al. ∙ 1 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Hyperproperties for Robotics: Motion Planning via HyperLTL

There is a growing interest on formal methods-based robotic motion plann...
11/26/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Communication Lower Bound in Convolution Accelerators

In current convolutional neural network (CNN) accelerators, communicatio...
11/08/2019 ∙ by Xiaoming Chen, et al. ∙ 0 ∙ share

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Non-native Speaker Verification for Spoken Language Assessment

Automatic spoken language assessment systems are becoming more popular i...
09/30/2019 ∙ by Linlin Wang, et al. ∙ 0 ∙ share

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Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning

We present a reinforcement learning (RL) framework to synthesize a contr...
09/16/2019 ∙ by Alper Kamil Bozkurt, et al. ∙ 0 ∙ share

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Single Training Dimension Selection for Word Embedding with PCA

In this paper, we present a fast and reliable method based on PCA to sel...
08/30/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks

Space information network (SIN) is an innovative networking architecture...
07/30/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning

With the development of artificial intelligence algorithms like deep lea...
07/19/2019 ∙ by Shuqiang Lu, et al. ∙ 0 ∙ share

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Learning a Static Bug Finder from Data

Static analysis is an effective technique to catch bugs early when they ...
07/12/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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A Debiased MDI Feature Importance Measure for Random Forests

Tree ensembles such as Random Forests have achieved impressive empirical...
06/26/2019 ∙ by Xiao Li, et al. ∙ 1 ∙ share

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ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

The recent years have witnessed great advances for semantic segmentation...
06/24/2019 ∙ by Yu Wang, et al. ∙ 4 ∙ share

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Statistical Verification of Hyperproperties for Cyber-Physical System

Many important properties of cyber-physical systems (CPS) are defined up...
06/17/2019 ∙ by Yu Wang, et al. ∙ 0 ∙ share

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Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks

A novel resampling framework is proposed to evaluate the robustness and ...
06/07/2019 ∙ by Xudong Sun, et al. ∙ 2 ∙ share

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Unified Language Model Pre-training for Natural Language Understanding and Generation

This paper presents a new Unified pre-trained Language Model (UniLM) tha...
05/08/2019 ∙ by Li Dong, et al. ∙ 0 ∙ share

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Yu Wang

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