Jinkun Lin

According to our database, Jinkun Lin authored at least 24 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts.

Hongzheng Li, Ruojin Wang, Ge Shi, Xing Lv, Lei Lei, Chong Feng, Fang Liu, Jinkun Lin, Yangguang Mei, Lingnan Xu

CoRR, 2024

2023

Application-Defined Receive Side Dispatching on the NIC.

Tao Wang, Jinkun Lin, Gianni Antichi, Aurojit Panda, Anirudh Sivaraman

CoRR, 2023

Local Search for Integer Linear Programming.

Peng Lin, Shaowei Cai, Mengchuan Zou, Jinkun Lin

CoRR, 2023

CAmpactor: A Novel and Effective Local Search Algorithm for Optimizing Pairwise Covering Arrays.

Qiyuan Zhao, Chuan Luo, Shaowei Cai, Wei Wu, Jinkun Lin, Hongyu Zhang, Chunming Hu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers.

Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Finding Deep-Learning Compilation Bugs with NNSmith.

Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang

CoRR, 2022

Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments.

Jinkun Lin, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen

Proceedings of the International Conference on Machine Learning, 2022

2021

A Semi-exact Algorithm for Quickly Computing A Maximum Weight Clique in Large Sparse Graphs.

Shaowei Cai, Jinkun Lin, Yiyuan Wang, Darren Strash

J. Artif. Intell. Res., 2021

LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage.

Chuan Luo, Binqi Sun, Bo Qiao, Junjie Chen, Hongyu Zhang, Jinkun Lin, Qingwei Lin, Dongmei Zhang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

AutoCCAG: An Automated Approach to Constrained Covering Array Generation.

Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

FastCA: An Effective and Efficient Tool for Combinatorial Covering Array Generation.

Jinkun Lin, Shaowei Cai, Bing He, Yingjie Fu, Chuan Luo, Qingwei Lin

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

2020

A Dynamic Beam Shut Off Algorithm for LEO Multibeam Satellite Constellation Network.

Shuaijun Liu, Jinkun Lin, Lexi Xu, Xianming Gao, Lixiang Liu, Linyan Jiang

IEEE Wirel. Commun. Lett., 2020

WCA: A weighting local search for constrained combinatorial test optimization.

Yingjie Fu, Zhendong Lei, Shaowei Cai, Jinkun Lin, Haoran Wang

Inf. Softw. Technol., 2020

NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set.

Bohan Li, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, Christian Blum

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Towards more efficient meta-heuristic algorithms for combinatorial test generation.

Jinkun Lin, Shaowei Cai, Chuan Luo, Qingwei Lin, Hongyu Zhang

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Hop: Heterogeneity-aware Decentralized Training.

Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies.

Shaowei Cai, Wenying Hou, Jinkun Lin, Yuanjie Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Finding A Small Vertex Cover in Massive Sparse Graphs: Construct, Local Search, and Preprocess.

Shaowei Cai, Jinkun Lin, Chuan Luo

J. Artif. Intell. Res., 2017

A Reduction based Method for Coloring Very Large Graphs.

Jinkun Lin, Shaowei Cai, Chuan Luo, Kaile Su

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

New local search methods for partial MaxSAT.

Shaowei Cai, Chuan Luo, Jinkun Lin, Kaile Su

Artif. Intell., 2016

Fast Solving Maximum Weight Clique Problem in Massive Graphs.

Shaowei Cai, Jinkun Lin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

TCA: An Efficient Two-Mode Meta-Heuristic Algorithm for Combinatorial Test Generation (T).

Jinkun Lin, Chuan Luo, Shaowei Cai, Kaile Su, Dan Hao, Lu Zhang

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

Two Weighting Local Search for Minimum Vertex Cover.

Shaowei Cai, Jinkun Lin, Kaile Su

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

1998

Artefact: A Framework for Low-Overhead Web-Based Collaborative Systems.

Jeffrey Lynn Brandenburg, Boyce Byerly, Tom Dobridge, Jinkun Lin, Dharmaraja Rajan, Timothy Roscoe

Proceedings of the CSCW '98, 1998