papers

Publications (39)

cs.DS2018

A local search -approximation algorithm for the minimum -path partition problem

Yong Chen, Randy Goebel, Guohui Lin +5

Given a graph , the -path partition problem is to find a minimum collection of vertex-disjoint paths each of order at most to cover all the vertices of . It i…

cs.DS2018

Approximation algorithms for the three-machine proportionate mixed shop scheduling

Longcheng Liu, Yong Chen, Jianming Dong +6

A mixed shop is a manufacturing infrastructure designed to process a mixture of a set of flow-shop jobs and a set of open-shop jobs. Mixed shops are in general much more complex to…

cs.CL2018

On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering

Mohomed Shazan Mohomed Jabbar, Luke Kumar, Hamman Samuel +4

Duplicate question detection is an ongoing challenge in community question answering because semantically equivalent questions can have significantly different words and structures…

cs.AI2024

Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao +1

Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonom…

cs.AI2013

Integrating Probabilistic, Taxonomic and Causal Knowledge in Abductive Diagnosis

Dekang Lin, Randy Goebel

We propose an abductive diagnosis theory that integrates probabilistic, causal and taxonomic knowledge. Probabilistic knowledge allows us to select the most likely explanation; cau…

cs.CL2026

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations

Shahin Atakishiyev, Housam K. B. Babiker, Jiayi Dai +8

Large language models have exhibited impressive performance across a broad range of downstream tasks in natural language processing. However, how a language model predicts the next…