b'Hao Wu'

research

∙ 08/04/2022

A novel robot calibration method with plane constraint based on dial indicator

In pace with the electronic technology development and the production te...

Tinghui Chen, et al. ∙

research

∙ 07/21/2022

A Labelled Sequent Calculus for Public Announcement Logic

Public announcement logic(PAL) is an extension of epistemic logic (EL) w...

Hao Wu, et al. ∙

research

∙ 06/23/2022

The Effective Sample Size in Bayesian Information Criterion for Level-Specific Fixed and Random Effects Selection in a Two-Level Nested Model

Popular statistical software provides Bayesian information criterion (BI...

Sun-Joo Cho, et al. ∙

research

∙ 06/20/2022

Walking to Hide: Privacy Amplification via Random Message Exchanges in Network

The *shuffle model* is a powerful tool to amplify the privacy guarantees...

Hao Wu, et al. ∙

research

∙ 06/04/2022

All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey

Image restoration and enhancement is a process of improving the image qu...

Yunfan Lu, et al. ∙

research

∙ 05/30/2022

Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

Driven by the ever-increasing requirements of autonomous vehicles, such ...

Siyuan Liang, et al. ∙

research

∙ 05/28/2022

Triple-Band Scheduling with Millimeter Wave and Terahertz Bands for Wireless Backhaul

With the explosive growth of mobile traffic demand, densely deployed sma...

Yibing Wang, et al. ∙

research

∙ 05/19/2022

Comparison on the criticality parameters for two supercritical branching processes in random environments

Let {Z_1,n , n≥ 0} and {Z_2,n, n≥ 0} be two supercritical branching proc...

Xiequan Fan, et al. ∙

research

∙ 05/19/2022

Scheduling of UAV-assisted Millimeter Wave Communications for High-Speed Railway

To exploit richer spectrum resources for even better service quality, mi...

Yibing Wang, et al. ∙

research

∙ 05/18/2022

Mobility Support for Millimeter Wave Communications: Opportunities and Challenges

Millimeter-wave (mmWave) communication technology offers a potential and...

Jing Li, et al. ∙

research

∙ 05/16/2022

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

Registration is a basic yet crucial task in point cloud processing. In c...

Li Yan, et al. ∙

research

∙ 05/15/2022

Automation Slicing and Testing for in-App Deep Learning Models

Intelligent Apps (iApps), equipped with in-App deep learning (DL) models...

Hao Wu, et al. ∙

research

∙ 05/04/2022

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

Recent years have witnessed increasing interest in code representation l...

Xin Wang, et al. ∙

research

∙ 03/16/2022

Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

We introduce a sampling based machine learning approach, Monte Carlo phy...

Ling Guo, et al. ∙

research

∙ 03/04/2022

CGN: A Capacity-Guaranteed Network Architecture for Future Ultra-Dense Wireless Systems

The sixth generation (6G) era is envisioned to be a fully intelligent an...

Chaowen Deng, et al. ∙

research

∙ 12/22/2021

Randomize the Future: Asymptotically Optimal Locally Private Frequency Estimation Protocol for Longitudinal Data

Longitudinal data tracking under Local Differential Privacy (LDP) is a c...

Olga Ohrimenko, et al. ∙

research

∙ 10/28/2021

Deeptime: a Python library for machine learning dynamical models from time series data

Generation and analysis of time-series data is relevant to many quantita...

Moritz Hoffmann, et al. ∙

research

∙ 10/15/2021

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

The recently proposed FixMatch achieved state-of-the-art results on most...

Bowen Zhang, et al. ∙

research

∙ 10/13/2021

Transformers for EEG Emotion Recognition

Electroencephalogram (EEG) can objectively reflect emotional state and c...

Jiyao Liu, et al. ∙

research

∙ 10/12/2021

Aspect-driven User Preference and News Representation Learning for News Recommendation

News recommender systems are essential for helping users to efficiently ...

Rongyao Wang, et al. ∙

research

∙ 09/05/2021

The ByteDance Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021

This paper describes the ByteDance speaker diarization system for the fo...

Keke Wang, et al. ∙

research

∙ 08/30/2021

Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models

We introduce in this work the normalizing field flows (NFF) for learning...

Ling Guo, et al. ∙

research

∙ 08/26/2021

Dynamic Structural Clustering on Graphs

Structural Clustering (DynClu) is one of the most popular graph clusteri...

Boyu Ruan, et al. ∙

research

∙ 08/11/2021

Cooperative Learning for Noisy Supervision

Learning with noisy labels has gained the enormous interest in the robus...

Hao Wu, et al. ∙

research

∙ 08/10/2021

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Code representation learning, which aims to encode the semantics of sour...

Xin Wang, et al. ∙

research

∙ 07/22/2021

Improving Blockchain Consistency by Assigning Weights to Random Blocks

Blockchains based on the celebrated Nakamoto consensus protocol have sho...

Qing Zhang, et al. ∙

research

∙ 06/25/2021

Conjugate Energy-Based Models

In this paper, we propose conjugate energy-based models (CEBMs), a new c...

Hao Wu, et al. ∙

research

∙ 06/21/2021

Nested Variational Inference

We develop nested variational inference (NVI), a family of methods that ...

Heiko Zimmermann, et al. ∙

research

∙ 06/19/2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling

Offline reinforcement learning (RL) tries to learn the near-optimal poli...

Hua Wei, et al. ∙

research

∙ 06/15/2021

Locally Differentially Private Frequency Estimation

We present two new local differentially private algorithms for frequency...

Hao Wu, et al. ∙

research

∙ 03/31/2021

Collaborative Label Correction via Entropy Thresholding

Deep neural networks (DNNs) have the capacity to fit extremely noisy lab...

Hao Wu, et al. ∙

research

∙ 03/30/2021

XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning

This paper presents our submitted system to SemEval 2021 Task 4: Reading...

Yuxin Jiang, et al. ∙

research

∙ 03/20/2021

Greenplum: A Hybrid Database for Transactional and Analytical Workloads

Demand for enterprise data warehouse solutions to support real-time Onli...

Zhenghua Lyu, et al. ∙

research

∙ 03/01/2021

Learning Proposals for Probabilistic Programs with Inference Combinators

We develop operators for construction of proposals in probabilistic prog...

Sam Stites, et al. ∙

research

∙ 02/04/2021

App Developer Centric Trusted Execution Environment

ARM TrustZone is the de-facto hardware TEE implementation on mobile devi...

Lizhi Sun, et al. ∙

research

∙ 01/29/2021

Coalition Game Based Full-duplex Popular Content Distribution in mmWave Vehicular Networks

The millimeter wave (mmWave) communication has drawn intensive attention...

Yibing Wang, et al. ∙

research

∙ 11/09/2020

Learning the Best Pooling Strategy for Visual Semantic Embedding

Visual Semantic Embedding (VSE) is a dominant approach for vision-langua...

Jiacheng Chen, et al. ∙

research

∙ 11/01/2020

Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features

Online action recognition is an important task for human centered intell...

Guoliang Liu, et al. ∙

research

∙ 10/14/2020

Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction

Semi-supervision is a promising paradigm for Bilingual Lexicon Induction...

Xu Zhao, et al. ∙

research

∙ 10/14/2020

A Relaxed Matching Procedure for Unsupervised BLI

Recently unsupervised Bilingual Lexicon Induction (BLI) without any para...

Xu Zhao, et al. ∙

research

∙ 10/06/2020

Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq

High-quality and large-scale data are key to success for AI systems. How...

Qiang Ning, et al. ∙

research

∙ 06/25/2020

DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors

Human activity recognition (HAR) in ubiquitous computing has been beginn...

Wenbin Gao, et al. ∙

research

∙ 06/23/2020

Learning Based Distributed Tracking

Inspired by the great success of machine learning in the past decade, pe...

Hao Wu, et al. ∙

research

∙ 06/05/2020

Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices

Recently, deep learning has represented an important research trend in h...

Xin Cheng, et al. ∙

research

∙ 06/04/2020

Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

Live video commenting systems are an emerging feature of online video si...

Hao Wu, et al. ∙

research

∙ 05/06/2020

Modeling nanoconfinement effects using active learning

Predicting the spatial configuration of gas molecules in nanopores of sh...

Javier E. Santos, et al. ∙

research

∙ 05/01/2020

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

A critical part of reading is being able to understand the temporal rela...

Qiang Ning, et al. ∙

research

∙ 04/20/2020

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Quantization techniques can reduce the size of Deep Neural Networks and ...

Hao Wu, et al. ∙

research

∙ 04/04/2020

Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs

Information visualization significantly enhances human perception by gra...

Xiaoning Kang, et al. ∙

research

∙ 03/20/2020

Masked Face Recognition Dataset and Application

In order to effectively prevent the spread of COVID-19 virus, almost eve...

Zhongyuan Wang, et al. ∙

Hao Wu

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