activity
20102023
most citedA Polylogarithimic Approximation Algorithm for Edge-Disjoint Paths with Congestion 2

32 citations · 98 across the 32 of their papers we have counts for

collaborators

37 papers

cs.DS2023

Polylogarithmic Approximation for Robust s-t Path

Shi Li, Chenyang Xu, Ruilong Zhang

The paper revisits the robust - path problem, one of the most fundamental problems in robust optimization. In the problem, we are given a directed graph with vertices and…

cs.DS2023★ 1 cited

Degrees and Network Design: New Problems and Approximations

Michael Dinitz, Guy Kortsarz, Shi Li

While much of network design focuses mostly on cost (number or weight of edges), node degrees have also played an important role. They have traditionally either appeared as an obje…

cs.DS2021

Online Food Delivery to Minimize Maximum Flow Time

Xiangyu Guo, Shi Li, Kelin Luo +1

We study a common delivery problem encountered in nowadays online food-ordering platforms: Customers order dishes online, and the restaurant delivers the food after receiving the o…

cs.DS2021★ 1 cited

Polynomial Integrality Gap of Flow LP for Directed Steiner Tree

Shi Li, Bundit Laekhanukit

In the Directed Steiner Tree (DST) problem, we are given a directed graph on vertices with edge-costs , a root vertex , and a se…

stat.ML2020★ 3 cited

Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding

Di Wang, Xiangyu Guo, Shi Li +1

In this paper, we study the problem of estimating latent variable models with arbitrarily corrupted samples in high dimensional space ({\em i.e.,} ) where the underlying pa…

cs.LG2020

Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably

Di Wang, Xiangyu Guo, Chaowen Guan +2

Recently, many machine learning and statistical models such as non-linear regressions, the Single Index, Multi-index, Varying Coefficient Index Models and Two-layer Neural Networks…

cs.DS2020★ 2 cited

Consistent -Median: Simpler, Better and Robust

Xiangyu Guo, Janardhan Kulkarni, Shi Li +1

In this paper we introduce and study the online consistent -clustering with outliers problem, generalizing the non-outlier version of the problem studied in [Lattanzi-Vassilvits…

cs.DS2020★ 10 cited

Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints

Janardhan Kulkarni, Shi Li, Jakub Tarnawski +1

We consider the classic problem of scheduling jobs with precedence constraints on a set of identical machines to minimize the makespan objective function. Understanding the exact a…

cs.DS2020★ 1 cited

Towards PTAS for Precedence Constrained Scheduling via Combinatorial Algorithms

Shi Li

We study the classic problem of scheduling precedence constrained unit-size jobs on machines so as to minimize the makespan. In a recent breakthrough, Levey and Roth…

cs.DB2020

Covering the Relational Join

Shi Li, Sai Vikneshwar Mani Jayaraman, Atri Rudra

In this paper, we initiate a theoretical study of what we call the join covering problem. We are given a natural join query instance on attributes and relations $(R_i)_…

cs.DC2020★ 2 cited

Topology Dependent Bounds For FAQs

Michael Langberg, Shi Li, Sai Vikneshwar Mani Jayaraman +1

In this paper, we prove topology dependent bounds on the number of rounds needed to compute Functional Aggregate Queries (FAQs) studied by Abo Khamis et al. [PODS 2016] in a synchr…

cs.DS2020

The Power of Recourse: Better Algorithms for Facility Location in Online and Dynamic Models

Xiangyu Guo, Janardhan Kulkarni, Shi Li +1

In this paper we study the facility location problem in the online with recourse and dynamic algorithm models. In the online with recourse model, clients arrive one by one and our…

cs.DS2019★ 2 cited

Facility Location Problem in Differential Privacy Model Revisited

Yunus Esencayi, Marco Gaboardi, Shi Li +1

In this paper we study the uncapacitated facility location problem in the model of differential privacy (DP) with uniform facility cost. Specifically, we first show that, under the…

cs.DS2019

On Approximating Degree-Bounded Network Design Problems

Xiangyu Guo, Guy Kortsarz, Bundit Laekhanukit +3

Directed Steiner Tree (DST) is a central problem in combinatorial optimization and theoretical computer science: Given a directed graph with edge costs $c \in \mathbb{R}…

cs.DC2018★ 5 cited

Distributed -Clustering for Data with Heavy Noise

Xiangyu Guo, Shi Li

In this paper, we consider the -center/median/means clustering with outliers problems (or the -center/median/means problems) in the distributed setting. Most previous di…

cs.DS2018★ 1 cited

-Approximation Algorithm for Directed Steiner Tree: A Tight Quasi-Polynomial-Time Algorithm

Fabrizio Grandoni, Bundit Laekhanukit, Shi Li

In the Directed Steiner Tree (DST) problem we are given an -vertex directed edge-weighted graph, a root , and a collection of terminal nodes. Our goal is to find a minimu…

cs.DS2018★ 4 cited

Approximation algorithms for stochastic clustering

David G. Harris, Shi Li, Thomas Pensyl +2

We consider stochastic settings for clustering, and develop provably-good approximation algorithms for a number of these notions. These algorithms yield better approximation ratios…

cs.DS2018

A Polynomial Time Constant Approximation For Minimizing Total Weighted Flow-time

Uriel Feige, Janardhan Kulkarni, Shi Li

We consider the classic scheduling problem of minimizing the total weighted flow-time on a single machine (min-WPFT), when preemption is allowed. In this problem, we are given a se…

cs.DS2018★ 2 cited

Flow-time Optimization For Concurrent Open-Shop and Precedence Constrained Scheduling Models

Janardhan Kulkarni, Shi Li

Scheduling a set of jobs over a collection of machines is a fundamental problem that needs to be solved millions of times a day in various computing platforms: in operating systems…

cs.DS2018★ 2 cited

On Facility Location with General Lower Bounds

Shi Li

In this paper, we give the first constant approximation algorithm for the lower bounded facility location (LBFL) problem with general lower bounds. Prior to our work, such algorith…

cs.DS2017★ 3 cited

Constant Approximation for -Median and -Means with Outliers via Iterative Rounding

Ravishankar Krishnaswamy, Shi Li, Sai Sandeep

In this paper, we present a new iterative rounding framework for many clustering problems. Using this, we obtain an -approximation algorithm for -median…

cs.DS2017★ 5 cited

Scheduling to Minimize Total Weighted Completion Time via Time-Indexed Linear Programming Relaxations

Shi Li

We study approximation algorithms for scheduling problems with the objective of minimizing total weighted completion time, under identical and related machine models with job prece…

cs.DS2016★ 1 cited

Constant Approximation Algorithm for Non-Uniform Capacitated Multi-Item Lot-Sizing via Strong Covering Inequalities

Shi Li

We study the non-uniform capacitated multi-item lot-sizing (\lotsizing) problem. In this problem, there is a set of demands over a planning horizon of time periods and all dema…

cs.CC2016

Tight Network Topology Dependent Bounds on Rounds of Communication

Arkadev Chattopadhyay, Michael Langberg, Shi Li +1

We prove tight network topology dependent bounds on the round complexity of computing well studied -party functions such as set disjointness and element distinctness. Unlike the…