Chuan Luo

According to our database, Chuan Luo authored at least 72 papers between 2012 and 2024.

Collaborative distances:

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

2024

NuSC: An Effective Local Search Algorithm for Solving the Set Covering Problem.

Chuan Luo, Wenqian Xing, Shaowei Cai, Chunming Hu

IEEE Trans. Cybern., March, 2024

Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization.

Yi Xiang, Han Huang, Sizhe Li, Miqing Li, Chuan Luo, Xiaowei Yang

ACM Trans. Softw. Eng. Methodol., February, 2024

Contrastive Learning with Negative Sampling Correction.

Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

2023

Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization.

Yi Chu, Chuan Luo, Holger H. Hoos, Haihang You

Expert Syst. Appl., 2023

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System.

Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang

CoRR, 2023

Generating Pairwise Covering Arrays for Highly Configurable Software Systems.

Chuan Luo, Jianping Song, Qiyuan Zhao, Yibei Li, Shaowei Cai, Chunming Hu

Proceedings of the 27th ACM International Systems and Software Product Line Conference, 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

SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing.

Xuan Tan, Wei Wu, Chuan Luo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.

Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction.

Jie Zhou, Xianshuai Cao, Wenhao Li, Lin Bo, Kun Zhang, Chuan Luo, Qian Yu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards More Efficient Local Search for Pseudo-Boolean Optimization.

Yi Chu, Shaowei Cai, Chuan Luo, Zhendong Lei, Cong Peng

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract).

Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques.

Yi Chu, Shaowei Cai, Chuan Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Distributed Evolution Strategies for Black-Box Stochastic Optimization.

Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin

IEEE Trans. Parallel Distributed Syst., 2022

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems.

Koen van der Blom, Holger H. Hoos, Chuan Luo, Jeroen G. Rook

IEEE Trans. Evol. Comput., 2022

SamplingCA: effective and efficient sampling-based pairwise testing for highly configurable software systems.

Chuan Luo, Qiyuan Zhao, Shaowei Cai, Hongyu Zhang, Chunming Hu

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.

Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification.

Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Search-based Diverse Sampling from Real-world Software Product Lines.

Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property.

Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints.

Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang

CoRR, 2021

Hashing-Accelerated Graph Neural Networks for Link Prediction.

Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl

Proceedings of the WWW '21: The Web Conference 2021, 2021

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms.

Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Intelligent container reallocation at Microsoft 365.

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

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

Effective low capacity status prediction for cloud systems.

Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda

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

RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction.

Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Efficient Local Search for Pseudo Boolean Optimization.

Zhendong Lei, Shaowei Cai, Chuan Luo, Holger H. Hoos

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2021, 2021

A Surrogate Objective Framework for Prediction+Programming with Soft Constraints.

Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems.

Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing.

Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System.

Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou

Proceedings of the HAOC '21: Proceedings of the 1st Workshop on High Availability and Observability of Cloud Systems, 2021

Improving Local Search for Structured SAT Formulas via Unit Propagation Based Construct and Cut Initialization (Short Paper).

Shaowei Cai, Chuan Luo, Xindi Zhang, Jian Zhang

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems.

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An efficient local search algorithm for solving maximum edge weight clique problem in large graphs.

Yi Chu, Boxiao Liu, Shaowei Cai, Chuan Luo, Haihang You

J. Comb. Optim., 2020

Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization.

Yi Chu, Chuan Luo, Holger H. Hoos, Qingwei Lin, Haihang You

CoRR, 2020

Efficient customer incident triage via linking with system incidents.

Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.

Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation.

Chuan Luo, Holger H. Hoos, Shaowei Cai

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Intelligent Virtual Machine Provisioning in Cloud Computing.

Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin

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

Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints.

Zhendong Lei, Shaowei Cai, Chuan Luo

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

Two-goal Local Search and Inference Rules for Minimum Dominating Set.

Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin

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

2019

Empirical investigation of stochastic local search for maximum satisfiability.

Yi Chu, Chuan Luo, Shaowei Cai, Haihang You

Frontiers Comput. Sci., 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

Local Search with Efficient Automatic Configuration for Minimum Vertex Cover.

Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Feature Search: A Neural Architecture for Automated Feature Engineering.

Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

An efficient local search algorithm for the winner determination problem.

Haochen Zhang, Shaowei Cai, Chuan Luo, Minghao Yin

J. Heuristics, 2017

CCEHC: An efficient local search algorithm for weighted partial maximum satisfiability.

Chuan Luo, Shaowei Cai, Kaile Su, Wenxuan Huang

Artif. Intell., 2017

CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract).

Chuan Luo, Shaowei Cai, Kaile Su, Wenxuan Huang

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

From Decimation to Local Search and Back: A New Approach to MaxSAT.

Shaowei Cai, Chuan Luo, Haochen Zhang

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

Hard Neighboring Variables Based Configuration Checking in Stochastic Local Search for Weighted Partial Maximum Satisfiability.

Yi Chu, Chuan Luo, Wenxuan Huang, Haihang You, Dongrui Fan

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

New local search methods for partial MaxSAT.

Shaowei Cai, Chuan Luo, Jinkun Lin, Kaile Su

Artif. Intell., 2016

2015

Clause States Based Configuration Checking in Local Search for Satisfiability.

Chuan Luo, Shaowei Cai, Kaile Su, Wei Wu

IEEE Trans. Cybern., 2015

CCLS: An Efficient Local Search Algorithm for Weighted Maximum Satisfiability.

Chuan Luo, Shaowei Cai, Wei Wu, Zhong Jie, Kaile Su

IEEE Trans. Computers, 2015

Improving WalkSAT By Effective Tie-Breaking and Efficient Implementation.

Shaowei Cai, Chuan Luo, Kaile Su

Comput. J., 2015

CCAnr: A Configuration Checking Based Local Search Solver for Non-random Satisfiability.

Shaowei Cai, Chuan Luo, Kaile Su

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2015, 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

2014

Scoring Functions Based on Second Level Score for k-SAT with Long Clauses.

Shaowei Cai, Chuan Luo, Kaile Su

J. Artif. Intell. Res., 2014

More efficient two-mode stochastic local search for random 3-satisfiability.

Chuan Luo, Kaile Su, Shaowei Cai

Appl. Intell., 2014

Double Configuration Checking in Stochastic Local Search for Satisfiability.

Chuan Luo, Shaowei Cai, Wei Wu, Kaile Su

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Tailoring Local Search for Partial MaxSAT.

Shaowei Cai, Chuan Luo, John Thornton, Kaile Su

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

NuMVC: An Efficient Local Search Algorithm for Minimum Vertex Cover.

Shaowei Cai, Kaile Su, Chuan Luo, Abdul Sattar

J. Artif. Intell. Res., 2013

Focused Random Walk with Configuration Checking and Break Minimum for Satisfiability.

Chuan Luo, Shaowei Cai, Wei Wu, Kaile Su

Proceedings of the Principles and Practice of Constraint Programming, 2013

FWLS: A Local Search for Graph Coloring.

Wei Wu, Chuan Luo, Kaile Su

Proceedings of the Frontiers in Algorithmics <i>and</i> Algorithmic Aspects in Information and Management, 2013

Improving WalkSAT for Random k-Satisfiability Problem with k > 3.

Shaowei Cai, Kaile Su, Chuan Luo

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Improving Local Search for Random 3-SAT Using Quantitative Configuration Checking.

Chuan Luo, Kaile Su, Shaowei Cai

Proceedings of the ECAI 2012, 2012