activity
20102025
most citedContinual Graph Learning: A Survey

7 citations · 7 across the 9 of their papers we have counts for

collaborators

12 papers

cs.DM2025

The Power of Amortization on Minimizing Total Completion Time with Explorable Uncertainty

Bob Krekelberg, Alison Hsiang-Hsuan Liu, Fu-Hong Liu +2

We study online scheduling to minimize total completion time with explorable uncertainty on single and multiple machines. Each job comes with an upper limit of its processing time,…

cs.DS2024

Towards Optimal Grammars for RNA Structures

Evarista Onokpasa, Sebastian Wild, Prudence W. H. Wong

In past work (Onokpasa, Wild, Wong, DCC 2023), we showed that (a) for joint compression of RNA sequence and structure, stochastic context-free grammars are the best known compresso…

q-bio.BM2023

RNA secondary structures: from ab initio prediction to better compression, and back

Evarista Onokpasa, Sebastian Wild, Prudence W. H. Wong

In this paper, we use the biological domain knowledge incorporated into stochastic models for ab initio RNA secondary-structure prediction to improve the state of the art in joint…

cs.LG2023★ 7 cited

Continual Graph Learning: A Survey

Qiao Yuan, Sheng-Uei Guan, Pin Ni +4

Continual Graph Learning (CGL) enables models to incrementally learn from streaming graph-structured data without forgetting previously acquired knowledge. Experience replay is a c…

cs.CL2019

Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying

Xianbin Hong, Gautam Pal, Sheng-Uei Guan +4

Lifelong machine learning is a novel machine learning paradigm which can continually accumulate knowledge during learning. The knowledge extracting and reusing abilities enable the…

cs.DS2018

Dynamic Programming Optimization in Line of Sight Networks

Pavan Sangha, Prudence W. H. Wong, Michele Zito

Line of Sight (LoS) networks were designed to model wireless communication in settings which may contain obstacles restricting node visibility. For fixed positive integer , and…

cs.DS2018

Station Assignment with Reallocation

Austin Halper, Miguel A. Mosteiro, Yulia Rossikova +1

We study a dynamic allocation problem that arises in various scenarios where mobile clients joining and leaving the system have to communicate with static stations via radio transm…

cs.DC2017

Fault-tolerant parallel scheduling of arbitrary length jobs on a shared channel

Marek Klonowski, Dariusz R. Kowalski, Jarosław Mirek +1

We study the problem of scheduling jobs on fault-prone machines communicating via a shared channel, also known as multiple-access channel. We have arbitrary length jobs to be s…

cs.DC2017

Lightweight Robust Framework for Workload Scheduling in Clouds

Muhammed Abdulazeez, Pawel Garncarek, Dariusz R. Kowalski +1

Reliability, security and stability of cloud services without sacrificing too much resources have become a desired feature in the area of workload management in clouds. The paper p…

cs.DS2016

Non-preemptive Scheduling in a Smart Grid Model and its Implications on Machine Minimization

Fu-Hong Liu, Hsiang-Hsuan Liu, Prudence W. H. Wong

We study a scheduling problem arising in demand response management in smart grid. Consumers send in power requests with a flexible feasible time interval during which their reques…

cs.NI2013

Online Regenerator Placement

George B. Mertzios, Mordechai Shalom, Prudence W. H. Wong +1

Connections between nodes in optical networks are realized by lightpaths. Due to the decay of the signal, a regenerator has to be placed on every lightpath after at most hops,…

cs.DS2010

Hardness and Approximation of The Asynchronous Border Minimization Problem

Alexandru Popa, Prudence W. H. Wong, Fencol C. C. Yung

We study a combinatorial problem arising from microarrays synthesis. The synthesis is done by a light-directed chemical process. The objective is to minimize unintended illuminatio…