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2020 – today
- 2024
[j10]Lianghao Li
, Jianqing Lin, Cheng He, Linqiang Pan:
Clustering-based genetic offspring generation for solving multi-objective optimization problems with intricate Pareto sets. Appl. Soft Comput. 154: 111341 (2024)- [j9]Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin:
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28(1): 47-61 (2024) - 2023
- [e3]Linqiang Pan, Dongming Zhao, Lianghao Li, Jianqing Lin:
Bio-Inspired Computing: Theories and Applications - 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18, 2022, Revised Selected Papers. Communications in Computer and Information Science 1801, Springer 2023, ISBN 978-981-99-1548-4 [contents] - 2022
- [j8]Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Comput. 14(2): 237-251 (2022) - [j7]Linqiang Pan, Yi Zhao, Lianghao Li:
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems. Swarm Evol. Comput. 69: 101019 (2022) - [j6]Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin:
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization. Swarm Evol. Comput. 75: 101181 (2022) - [c12]Lianghao Li, Cheng He, Hongbin Li:
A Comparison of Large-Scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation. BIC-TA 2022: 222-232 - [e2]Linqiang Pan, Zhihua Cui, Jianghui Cai, Lianghao Li:
Bio-Inspired Computing: Theories and Applications - 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part I. Communications in Computer and Information Science 1565, Springer 2022, ISBN 978-981-19-1255-9 [contents] - [e1]Linqiang Pan, Zhihua Cui, Jianghui Cai, Lianghao Li:
Bio-Inspired Computing: Theories and Applications - 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part II. Communications in Computer and Information Science 1566, Springer 2022, ISBN 978-981-19-1252-8 [contents] - 2021
- [j5]Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng:
Adaptive simulated binary crossover for rotated multi-objective optimization. Swarm Evol. Comput. 60: 100759 (2021) - [j4]Lianghao Li, Cheng He, Wenting Xu, Linqiang Pan:
Pioneer selection for evolutionary multiobjective optimization with discontinuous feasible region. Swarm Evol. Comput. 65: 100932 (2021) - [j3]Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan:
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Trans. Cybern. 51(6): 3325-3337 (2021) - [c11]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. CEC 2021: 2149-2155 - [c10]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. EMO 2021: 296-307 - [c9]Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. EMO 2021: 672-683 - 2020
- [j2]Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan:
A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization. IEEE Trans. Cybern. 50(8): 3477-3490 (2020)
2010 – 2019
- 2019
- [j1]Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - 2016
- [c8]Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang:
Multi-Domain Active Learning for Recommendation. AAAI 2016: 2358-2364 - 2013
- [c7]Daniel L. Silver, Qiang Yang, Lianghao Li:
Lifelong Machine Learning Systems: Beyond Learning Algorithms. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c6]Xuetao Ding, Xiaoming Jin, Yujia Li, Lianghao Li:
Celebrity Recommendation with Collaborative Social Topic Regression. IJCAI 2013: 2612-2618 - [c5]Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang:
Contextual rule-based feature engineering for author-paper identification. KDD Cup 2013: 6:1-6:6 - [c4]Ning Zheng, Xiaoming Jin, Lianghao Li:
Cross-region collaborative filtering for new point-of-interest recommendation. WWW (Companion Volume) 2013: 45-46 - [c3]Xiaochen Zhang, Xiaoming Jin, Lianghao Li, Dou Shen:
Discovering multilingual concepts from unaligned web documents by exploring associated images. WWW (Companion Volume) 2013: 173-174 - 2012
- [c2]Lianghao Li, Xiaoming Jin, Mingsheng Long:
Topic Correlation Analysis for Cross-Domain Text Classification. AAAI 2012: 998-1004 - [c1]Lianghao Li, Xiaoming Jin, Sinno Jialin Pan, Jian-Tao Sun:
Multi-domain active learning for text classification. KDD 2012: 1086-1094
Coauthor Index
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last updated on 2024-08-05 21:20 CEST by the dblp team
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