activity
20112026
most citedRepFlow: Minimizing Flow Completion Times with Replicated Flows in Data Centers

106 citations · 316 across the 15 of their papers we have counts for

collaborators

18 papers

cs.DS2026

Undirected Network Coding and Faster External-Memory Integer Sorting

Baochun Li, Zongpeng Li, Sirui Liu

Network coding allows intermediate nodes to combine messages. Fractional routing instead splits each message among source-destination paths and forwards its parts without combining…

cs.IT2026

On the Multiple-Unicast Conjecture: Beyond Cut Metrics

Sirui Liu, Li Que, Zongpeng Li +1

Network coding allows intermediate nodes to encode received messages before transmission. The multiple-unicast conjecture asserts that coding has no throughput advantage over fract…

cs.LG2022★ 9 cited

Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning

Peng Ye, Zhifeng Jiang, Wei Wang +2

Federated learning (FL) has increasingly been deployed, in its vertical form, among organizations to facilitate secure collaborative training over siloed data. In vertical FL (VFL)…

cs.DC2022★ 7 cited

Pisces: Efficient Federated Learning via Guided Asynchronous Training

Zhifeng Jiang, Wei Wang, Baochun Li +1

Federated learning (FL) is typically performed in a synchronous parallel manner, where the involvement of a slow client delays a training iteration. Current FL systems employ a par…

cs.IT2021

What Should Future Wireless Network Architectures Be?

Lu Yang, Ping Li, Miaomiao Dong +5

The accelerated convergence of digital and real-world lifestyles has imposed unprecedented demands on today's wireless network architectures, as it is highly desirable for such arc…

cs.LG2021★ 22 cited

Generative Causal Explanations for Graph Neural Networks

Wanyu Lin, Hao Lan, Baochun Li

This paper presents Gem, a model-agnostic approach for providing interpretable explanations for any GNNs on various graph learning tasks. Specifically, we formulate the problem of…

cs.CV2019

Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data

Wanyu Lin, Zhaolin Gao, Baochun Li

Graph-based semi-supervised learning has been shown to be one of the most effective approaches for classification tasks from a wide range of domains, such as image classification a…

cs.NI2019

Low-Latency Network-Adaptive Error Control for Interactive Streaming

Salma Emara, Silas L. Fong, Baochun Li +4

We introduce a novel network-adaptive algorithm that is suitable for alleviating network packet losses for low-latency interactive communications between a source and a destination…

cs.IT2019

Optimal Multiplexed Erasure Codes for Streaming Messages with Different Decoding Delays

Silas L. Fong, Ashish Khisti, Baochun Li +3

This paper considers multiplexing two sequences of messages with two different decoding delays over a packet erasure channel. In each time slot, the source constructs a packet base…

cs.IT2018

Optimal Streaming Erasure Codes over the Three-Node Relay Network

Silas L. Fong, Ashish Khisti, Baochun Li +3

This paper investigates low-latency streaming codes for a three-node relay network. The source transmits a sequence of messages (streaming messages) to the destination through the…

cs.DC2018★ 38 cited

Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments

Chen Chen, Qizhen Weng, Wei Wang +2

Machine learning (ML) models are increasingly trained in clusters with non-dedicated workers possessing heterogeneous resources. In such scenarios, model training efficiency can be…

cs.NI2015

Dispersing Instant Social Video Service Across Multiple Clouds

Zhi Wang, Baochun Li, Lifeng Sun +2

Instant social video sharing which combines the online social network and user-generated short video streaming services, has become popular in today's Internet. Cloud-based hosting…

cs.NI2013

Spot Transit: Cheaper Internet Transit for Elastic Traffic

Hong Xu, Baochun Li

We advocate to create a \emph{spot} Internet transit market, where transit is sold using the under-utilized backbone capacity at a lower price. The providers can improve profit by…

cs.DC2013★ 90 cited

Dominant Resource Fairness in Cloud Computing Systems with Heterogeneous Servers

Wei Wang, Baochun Li, Ben Liang

We study the multi-resource allocation problem in cloud computing systems where the resource pool is constructed from a large number of heterogeneous servers, representing differen…

cs.NI2013★ 106 cited

RepFlow: Minimizing Flow Completion Times with Replicated Flows in Data Centers

Hong Xu, Baochun Li

Short TCP flows that are critical for many interactive applications in data centers are plagued by large flows and head-of-line blocking in switches. Hash-based load balancing sche…

cs.NI2013

Reducing Electricity Demand Charge for Data Centers with Partial Execution

Hong Xu, Baochun Li

Data centers consume a large amount of energy and incur substantial electricity cost. In this paper, we study the familiar problem of reducing data center energy cost with two new…

cs.DC2013★ 44 cited

To Reserve or Not to Reserve: Optimal Online Multi-Instance Acquisition in IaaS Clouds

Wei Wang, Baochun Li, Ben Liang

Infrastructure-as-a-Service (IaaS) clouds offer diverse instance purchasing options. A user can either run instances on demand and pay only for what it uses, or it can prepay to re…

cs.MM2011

Celerity: A Low-Delay Multi-Party Conferencing Solution

X. Chen, M. Chen, B. Li +3

In this paper, we attempt to revisit the problem of multi-party conferencing from a practical perspective, and to rethink the design space involved in this problem. We believe that…