b'Huan Li'

research

∙ 07/04/2023

Mutual Information Analysis for Factor Graph-based MIMO Iterative Detections through Error Functions

The factor graph (FG) based iterative detection is considered an effecti...

0 Huan Li, et al. ∙

research

∙ 06/02/2023

DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference

Due to limited resources on edge and different characteristics of deep n...

0 Ziyang Zhang, et al. ∙

research

∙ 05/01/2023

BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms

As deep neural networks (DNNs) are being applied to a wide range of edge...

0 Ziyang Zhang, et al. ∙

research

∙ 04/18/2023

Contact Tracing over Uncertain Indoor Positioning Data (Extended Version)

Pandemics often cause dramatic losses of human lives and impact our soci...

0 Tiantian Liu, et al. ∙

research

∙ 02/25/2023

Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version)

Indoor location-based services rely on the availability of sufficiently ...

0 Xiao Li, et al. ∙

research

∙ 02/23/2023

LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

Correlated time series (CTS) forecasting plays an essential role in many...

0 Zhichen Lai, et al. ∙

research

∙ 02/08/2023

Resistance Distances in Directed Graphs: Definitions, Properties, and Applications

Resistance distance has been studied extensively in the past years, with...

0 Mingzhe Zhu, et al. ∙

research

∙ 09/16/2022

On Weighted Graph Sparsification by Linear Sketching

A seminal work of [Ahn-Guha-McGregor, PODS'12] showed that one can compu...

0 Yu Chen, et al. ∙

research

∙ 08/13/2022

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

Adaptive gradient algorithms borrow the moving average idea of heavy bal...

0 Xingyu Xie, et al. ∙

research

∙ 08/08/2022

Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data

With the onset of the COVID-19 pandemic, news outlets and social media h...

0 Nayoung Kim, et al. ∙

research

∙ 07/19/2022

On Regularity Lemma and Barriers in Streaming and Dynamic Matching

We present a new approach for finding matchings in dense graphs by build...

0 Sepehr Assadi, et al. ∙

research

∙ 01/27/2022

Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε^-7/4) Complexity

This paper studies the accelerated gradient descent for general nonconve...

0 Huan Li, et al. ∙

research

∙ 04/12/2021

Towards Crowd-aware Indoor Path Planning (Extended Version)

Indoor venues accommodate many people who collectively form crowds. Such...

0 Tiantian Liu, et al. ∙

research

∙ 04/06/2021

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization

Decentralized optimization over time-varying graphs has been increasingl...

0 Huan Li, et al. ∙

research

∙ 01/15/2021

Impact of COVID-19 on Adoption of IoT in Different Sectors

COVID-19 has disrupted normal life and has enforced a substantial change...

0 Muhammad Umair, et al. ∙

research

∙ 10/08/2020

An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing

Indoor location-based services (LBS), such as POI search and routing, ar...

0 Tiantian Liu, et al. ∙

research

∙ 09/09/2020

Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization

We study stochastic decentralized optimization for the problem of traini...

0 Huan Li, et al. ∙

research

∙ 06/23/2020

An Efficient PTAS for Stochastic Load Balancing with Poisson Jobs

We give the first polynomial-time approximation scheme (PTAS) for the st...

0 Anindya De, et al. ∙

research

∙ 02/24/2020

Revisiting EXTRA for Smooth Distributed Optimization

EXTRA is a popular method for the dencentralized distributed optimizatio...

0 Huan Li, et al. ∙

research

∙ 08/06/2019

Hermitian matrices for clustering directed graphs: insights and applications

Graph clustering is a basic technique in machine learning, and has wides...

4 Mihai Cucuringu, et al. ∙

research

∙ 11/27/2018

Hermitian Laplacians and a Cheeger inequality for the Max-2-Lin problem

We study spectral approaches for the MAX-2-LIN(k) problem, in which we a...

0 Huan Li, et al. ∙

research

∙ 10/07/2018

Spectral Subspace Sparsification

We introduce a new approach to spectral sparsification that approximates...

0 Huan Li, et al. ∙

research

∙ 10/03/2018

Optimization Algorithm Inspired Deep Neural Network Structure Design

Deep neural networks have been one of the dominant machine learning appr...

0 Huan Li, et al. ∙

research

∙ 04/09/2018

Maximizing the Number of Spanning Trees in a Connected Graph

We study the problem of maximizing the number of spanning trees in a con...

0 Huan Li, et al. ∙

research

∙ 03/02/2018

Independence number and the number of maximum independent sets in pseudofractal scale-free web and Sierpiński gasket

As a fundamental subject of theoretical computer science, the maximum in...

0 Liren Shan, et al. ∙

research

∙ 02/07/2018

Current Flow Group Closeness Centrality for Complex Networks

Current flow closeness centrality (CFCC) has a better discriminating abi...

0 Huan Li, et al. ∙

research

∙ 09/14/2017

Extended corona product as an exactly tractable model for weighted heterogeneous networks

Various graph products and operations have been widely used to construct...

0 Yi Qi, et al. ∙

research

∙ 09/13/2017

Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs

The Apollonian networks display the remarkable power-law and small-world...

0 Yujia Jin, et al. ∙

research

∙ 06/17/2016

Strategies for Searching Video Content with Text Queries or Video Examples

The large number of user-generated videos uploaded on to the Internet ev...

0 Shoou-I Yu, et al. ∙

Huan Li

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