Few-shots Parameter Tuning via Co-evolution

Jul 01, 2020
Ke Tang, Shengcai Liu, Peng Yang, Xin Yao

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A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem

Jun 27, 2020
Han Zhang, Jialin Liu, Xin Yao

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* Accepted at PPSN2020 

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Continual Local Training for Better Initialization of Federated Models

May 26, 2020
Xin Yao, Lifeng Sun

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* This paper has been accepted to 2020 IEEE International Conference on Image Processing (ICIP 2020) 

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Knee Point Identification Based on Trade-Off Utility

May 23, 2020
Ke Li, Haifeng Nie, Huifu Gao, Xin Yao

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A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros

May 14, 2020
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao

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* Accepted at IEEE CEC2020 

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Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property

Apr 29, 2020
Weijie Zheng, Huanhuan Chen, Xin Yao

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How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance

Feb 27, 2020
Miqing Li, Tao Chen, Xin Yao

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* submitted, 7 figures and 5 tables 

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Dynamic Multi-objective Optimization of the Travelling Thief Problem

Feb 07, 2020
Daniel Herring, Michael Kirley, Xin Yao

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Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

Jan 20, 2020
Tao Chen, Rami Bahsoon, Xin Yao

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* submitted; 31 pages, 10 tables and 29 figures 

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Adaptive Initialization Method for K-means Algorithm

Nov 27, 2019
Jie Yang, Yu-Kai Wang, Xin Yao, Chin-Teng Lin

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* 22 pages, 2 figures, 11 tables 

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On Performance Estimation in Automatic Algorithm Configuration

Nov 19, 2019
Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao

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* accepted by AAAI 2020 

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Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

Oct 24, 2019
Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun

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* Neural Computation, Volume 31, Issue 11, November 2019, p.2266-2291 

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Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating

Oct 22, 2019
Xin Yao, Tianchi Huang, Rui-Xiao Zhang, Ruiyu Li, Lifeng Sun

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* This manuscript has been accepted to the Workshop on Federated Learning for Data Privacy and Confidentiality (FL - NeurIPS 2019, in Conjunction with NeurIPS 2019) 

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Negatively Correlated Search as a Parallel Exploration Search Strategy

Oct 16, 2019
Peng Yang, Ke Tang, Xin Yao

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Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points

Sep 30, 2019
Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao

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* 32 pages, 22 figures 

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A Simple Yet Effective Approach to Robust Optimization Over Time

Sep 05, 2019
Lukáš Adam, Xin Yao

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Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs

Sep 01, 2019
Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun

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* This is a combination version of our papers in VCIP 2018 and ICIP 2019 

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Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning

Aug 06, 2019
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun

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* ACM Multimedia 2019 

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Competitive Co-evolution for Dynamic Constrained Optimisation

Jul 31, 2019
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao

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Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms

Apr 22, 2019
Hao Tong, Jialin Liu, Xin Yao

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Learning Topological Representation for Networks via Hierarchical Sampling

Feb 15, 2019
Guoji Fu, Chengbin Hou, Xin Yao

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Representation Learning for Heterogeneous Information Networks via Embedding Events

Jan 29, 2019
Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao

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Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems

Jan 17, 2019
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao

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A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization

Dec 06, 2018
Peng Yang, Ke Tang, Xin Yao

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* 12 pages, 0 figures 

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Analysis of Noisy Evolutionary Optimization When Sampling Fails

Oct 11, 2018
Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao

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