Lianghao Li

29 papers A* 4B 1C 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clustering-based genetic offspring generation using DBSCAN with correlation distance.
J. Membr. Comput.
Lianghao Li, Haibo Mi, Zhen Li, Jun Fu
2025 J jnl
Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization.
CoRR
Ruiqing Sun, Dawei Feng, Xing Zhou, Lianghao Li, Sheng Qi, Bo Ding, Yijie Wang, Rui Wang, Huaimin Wang
2024 J jnl
Clustering-based genetic offspring generation for solving multi-objective optimization problems with intricate Pareto sets.
Appl. Soft Comput.
Lianghao Li, Jianqing Lin, Cheng He, Linqiang Pan
2024 J jnl
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis.
IEEE Trans. Evol. Comput.
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
2024 — conf
M
ICONIP (3)
Hailong Liu, Lianghao Li, Haibo Mi, Bo Ding
2023 — ed.
Bio-Inspired Computing: Theories and Applications - 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18, 2022, Revised Selected Papers
BIC-TA
Linqiang Pan, Dongming Zhao, Lianghao Li, Jianqing Lin
2023 J jnl
Evolutionary multiobjective optimization via efficient sampling-based offspring generation.
Complex Intell. Syst.
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin
2022 — conf
A Comparison of Large-Scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation.
BIC-TA
Lianghao Li, Cheng He, Hongbin Li
2022 J jnl
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization.
Swarm Evol. Comput.
Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin
2022 J jnl
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation.
Memetic Comput.
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
2022 — ed.
Bio-Inspired Computing: Theories and Applications - 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part I
BIC-TA (1)
Linqiang Pan, Zhihua Cui, Jianghui Cai, Lianghao Li
2022 — ed.
Bio-Inspired Computing: Theories and Applications - 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part II
BIC-TA (2)
Linqiang Pan, Zhihua Cui, Jianghui Cai, Lianghao Li
2022 J jnl
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems.
Swarm Evol. Comput.
Linqiang Pan, Yi Zhao, Lianghao Li
2021 J jnl
Adaptive simulated binary crossover for rotated multi-objective optimization.
Swarm Evol. Comput.
Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng
2021 B conf
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation.
CEC
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
2021 C conf
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization.
EMO
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
2021 J jnl
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets.
IEEE Trans. Cybern.
Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan
2021 C conf
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation.
EMO
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
2021 J jnl
Pioneer selection for evolutionary multiobjective optimization with discontinuous feasible region.
Swarm Evol. Comput.
Lianghao Li, Cheng He, Wenting Xu, Linqiang Pan
2020 J jnl
A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization.
IEEE Trans. Cybern.
Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan
2019 J jnl
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput.
Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao
2016 A* conf
Multi-Domain Active Learning for Recommendation.
AAAI
Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang
2013 A* conf
Celebrity Recommendation with Collaborative Social Topic Regression.
IJCAI
Xuetao Ding, Xiaoming Jin, Yujia Li, Lianghao Li
2013 — conf
Contextual rule-based feature engineering for author-paper identification.
KDD Cup
Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang
2013 — conf
Cross-region collaborative filtering for new point-of-interest recommendation.
WWW (Companion Volume)
Ning Zheng, Xiaoming Jin, Lianghao Li
2013 — conf
Discovering multilingual concepts from unaligned web documents by exploring associated images.
WWW (Companion Volume)
Xiaochen Zhang, Xiaoming Jin, Lianghao Li, Dou Shen
2013 — conf
Lifelong Machine Learning Systems: Beyond Learning Algorithms.
AAAI Spring Symposium: Lifelong Machine Learning
Daniel L. Silver, Qiang Yang, Lianghao Li
2012 A* conf
Multi-domain active learning for text classification.
KDD
Lianghao Li, Xiaoming Jin, Sinno Jialin Pan, Jian-Tao Sun
2012 A* conf
Topic Correlation Analysis for Cross-Domain Text Classification.
AAAI
Lianghao Li, Xiaoming Jin, Mingsheng Long