b'Yu Huang'

research

∙ 05/06/2022

ViSearch: Weak Consistency Measurement for Replicated Data Types

Large-scale replicated data type stores often resort to eventual consist...

Lintian Shi, et al. ∙

research

∙ 04/29/2022

MET: Model Checking-Driven Explorative Testing of CRDT Designs and Implementations

Internet-scale distributed systems often replicate data at multiple geog...

Yuqi Zhang, et al. ∙

research

∙ 04/19/2022

Detection Interval for Diffusion Molecular Communication: How Long is Enough?

Molecular communication has a key role to play in future medical applica...

Xuan Chen, et al. ∙

research

∙ 03/24/2022

LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction

Precise congestion prediction from a placement solution plays a crucial ...

Bowen Wang, et al. ∙

research

∙ 03/23/2022

A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification

The identification of pedestrians using radar micro-Doppler signatures h...

Yu Xiang, et al. ∙

research

∙ 03/23/2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)

Despite the remarkable success of deep multi-modal learning in practice,...

Yu Huang, et al. ∙

research

∙ 02/23/2022

Compositional Model Checking of Consensus Protocols Specified in TLA+ via Interaction-Preserving Abstraction

Consensus protocols are widely used in building reliable distributed sof...

Xiaosong Gu, et al. ∙

research

∙ 11/29/2021

Verifying Transactional Consistency of MongoDB

MongoDB is a popular general-purpose, document-oriented, distributed NoS...

Hongrong Ouyang, et al. ∙

research

∙ 11/26/2021

Testability-Aware Low Power Controller Design with Evolutionary Learning

XORNet-based low power controller is a popular technique to reduce circu...

Min Li, et al. ∙

research

∙ 11/26/2021

Representation Learning of Logic Circuits

Applying deep learning (DL) techniques in the electronic design automati...

Min Li, et al. ∙

research

∙ 11/12/2021

Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned

The growing availability of the data collected from smart manufacturing ...

Xiaoye Qian, et al. ∙

research

∙ 11/12/2021

Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer

Over the last few decades, modern industrial processes have investigated...

Jaswanth Yella, et al. ∙

research

∙ 11/12/2021

GraSSNet: Graph Soft Sensing Neural Networks

In the era of big data, data-driven based classification has become an e...

Yu Huang, et al. ∙

research

∙ 11/10/2021

Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word

With the rapid development of AI technology in recent years, there have ...

Chao Zhang, et al. ∙

research

∙ 09/29/2021

Byz-GentleRain: An Efficient Byzantine-tolerant Causal Consistency Protocol

Causal consistency is a widely used weak consistency model that allows h...

Kaile Huang, et al. ∙

research

∙ 09/07/2021

IEEE BigData 2021 Cup: Soft Sensing at Scale

IEEE BigData 2021 Cup: Soft Sensing at Scale is a data mining competitio...

Sergei Petrov, et al. ∙

research

∙ 08/12/2021

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting

Ocean current, fluid mechanics, and many other spatio-temporal physical ...

Yu Huang, et al. ∙

research

∙ 08/11/2021

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems

Spatio-temporal forecasting is of great importance in a wide range of dy...

Yu Huang, et al. ∙

research

∙ 07/28/2021

Snippet Policy Network for Multi-class Varied-length ECG Early Classification

Arrhythmia detection from ECG is an important research subject in the pr...

Yu Huang, et al. ∙

research

∙ 06/08/2021

What Makes Multimodal Learning Better than Single (Provably)

The world provides us with data of multiple modalities. Intuitively, mod...

Yu Huang, et al. ∙

research

∙ 04/26/2021

Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good

When inspiring software developers to contribute to open source software...

Yu Huang, et al. ∙

research

∙ 09/21/2020

Evolutionary Architecture Search for Graph Neural Networks

Automated machine learning (AutoML) has seen a resurgence in interest wi...

Min Shi, et al. ∙

research

∙ 09/21/2020

Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI

Purpose: The goal of this research was to develop a deep network archite...

Lukas Hirsch, et al. ∙

research

∙ 08/04/2020

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting

According to the National Academies, a weekly forecast of velocity, vert...

Yu Huang, et al. ∙

research

∙ 08/02/2020

Privacy-Aware Data Cleaning-as-a-Service (Extended Version)

Data cleaning is a pervasive problem for organizations as they try to re...

Yu Huang, et al. ∙

research

∙ 07/17/2020

Diversifying Anonymized Data with Diversity Constraints

Recently introduced privacy legislation has aimed to restrict and contro...

Mostafa Milani, et al. ∙

research

∙ 06/10/2020

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Since DARPA Grand Challenges (rural) in 2004/05 and Urban Challenges in ...

Yu Huang, et al. ∙

research

∙ 05/16/2020

A class of multiplicative splitting iterations for solving the continuous Sylvester equation

For solving the continuous Sylvester equation, a class of the multiplica...

Yu Huang, et al. ∙

research

∙ 04/19/2020

GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries

The automatic identification system (AIS), an automatic vessel-tracking ...

Yu Huang, et al. ∙

research

∙ 01/22/2020

Fine-grained Analysis on Fast Implementations of Multi-writer Atomic Registers

This draft in its current version proves an impossibility result concern...

Kaile Huang, et al. ∙

research

∙ 09/03/2019

Attributed Rhetorical Structure Grammar for Domain Text Summarization

This paper presents a new approach of automatic text summarization which...

Ruqian Lu, et al. ∙

research

∙ 06/27/2019

The State and Future of Genetic Improvement

We report the discussion session at the sixth international Genetic Impr...

William B. Langdon, et al. ∙

research

∙ 05/24/2019

Tissue segmentation with deep 3D networks and spatial priors

Conventional automated segmentation of the human head distinguishes diff...

Lukas Hirsch, et al. ∙

research

∙ 05/04/2019

Remove-Win: a Design Framework for Conflict-free Replicated Data Collections

Internet-scale distributed systems often replicate data within and acros...

Yuqi Zhang, et al. ∙

research

∙ 01/08/2019

Inversion-based Measurement of Data Consistency for Read/Write Registers

Both provides and consumers of distributed storage services can benefit ...

Yu Huang, et al. ∙

research

∙ 06/03/2018

Efficient Time-Evolving Stream Processing at Scale

Time-evolving stream datasets exist ubiquitously in many real-world appl...

Yu Huang, et al. ∙

Yu Huang

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