Feng Wang

69 papers A* 3A 1B 8Misc 1Journal 43Unranked 13
YearRankTypeTitle / Venue / Authors
2026 A* conf
ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL.
AAAI
Zhixiang Zhang, Shuo Chen, Yexin Li, Feng Wang
2026 J jnl
Constrained Multiobjective Optimization Based on Dynamic Priority and Cooperative Offspring Generation.
IEEE Trans. Evol. Comput.
Zhihui He, Feng Wang, Bingdong Li, Aimin Zhou
2026 J jnl
FairDiff: Masked condition diffusion for fairness-aware recommendation.
Expert Syst. Appl.
Genhang Shen, Hanwen Xiao, Jinshan Zhang, Feng Wang, Xiaoye Miao, Meng Xi, Jianwei Yin
2026 J jnl
Truthful approximation for rank-maximal matchings.
Inf. Comput.
Jinshan Zhang, Hao Xu, Feng Wang, Meng Xi, Xiaotie Deng, Jianwei Yin
2025 J jnl
A New Prediction Strategy for Dynamic Multiobjective Optimization Using Diffusion Model.
IEEE Trans. Evol. Comput.
Feng Wang, Jinsong Xie, Aimin Zhou, Ke Tang
2025 J jnl
A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Guoyu Chen, Yinan Guo, Changhe Li, Feng Wang, Dunwei Gong, Liang Yuan
2025 J jnl
A Survey on recent advances in reinforcement learning for intelligent investment decision-making optimization.
Expert Syst. Appl.
Feng Wang, Shicheng Li, Shanshui Niu, Haoran Yang, Xiaodong Li, Xiaotie Deng
2025 J jnl
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts.
Swarm Evol. Comput.
Kai Su, Zhihui He, Feng Wang
2025 A* conf
AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection.
IJCAI
Shicheng Li, Jinshan Zhang, Feng Wang
2025 J jnl
An Air-Ground Unmanned Swarm Collaborative Area Search Strategy Based on the Learning Wolf Pack Algorithm.
IEEE Trans Autom. Sci. Eng.
Qiang Peng, Husheng Wu, Renjun Zhan, Yinan Guo, Jingyi Geng, Feng Wang, Wenxing Fu
2025 A* conf
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
AAAI
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2025 — conf
Large-Scale Contextual Market Equilibrium Computation Through Deep Learning.
IJTCS-FAW
Yunxuan Ma, Yide Bian, Hao Xu, Weitao Yang, Jingshu Zhao, Zhijian Duan, Feng Wang, Xiaotie Deng
2025 J jnl
Towards Calibrating Financial Market Simulators with High-Frequency Data.
Complex Syst. Model. Simul.
Peng Yang, Junji Ren, Feng Wang, Ke Tang
2025 J jnl
Towards Calibrating Financial Market Simulators with High-frequency Data.
CoRR
Peng Yang, Junji Ren, Feng Wang, Ke Tang
2024 J jnl
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model.
IEEE Trans. Emerg. Top. Comput. Intell.
Qiang Peng, Husheng Wu, Na Li, Feng Wang
2024 J jnl
A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties.
IEEE Trans. Fuzzy Syst.
Lianbo Ma, Nan Li, Peican Zhu, Keke Tang, Asad Khan, Feng Wang, Guo Yu
2024 J jnl
A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization.
Appl. Soft Comput.
Shuai Wang, Hui Wang, Zichen Wei, Feng Wang, Qingling Zhu, Jia Zhao, Zhihua Cui
2024 J jnl
A coevolutionary estimation of distribution algorithm based on dynamic differential grouping for mixed-variable optimization problems.
Expert Syst. Appl.
Shijia Huang, Zhe Wang, Yang Ge, Feng Wang
2024 J jnl
A multi-swarm optimizer with a reinforcement learning mechanism for large-scale optimization.
Swarm Evol. Comput.
Xujie Wang, Feng Wang, Qi He, Yinan Guo
2024 J jnl
An improved two-archive artificial bee colony algorithm for many-objective optimization.
Expert Syst. Appl.
Tingyu Ye, Hui Wang, Tao Zeng, Mahamed G. H. Omran, Feng Wang, Zhihua Cui, Jia Zhao
2024 — conf
Deterministic and Universal Truthful Mechanism for Fair Matching.
IJTCS-FAW
Hao Xu, Jinshan Zhang, Feng Wang
2024 J jnl
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
CoRR
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2024 J jnl
Large-Scale Contextual Market Equilibrium Computation through Deep Learning.
CoRR
Yunxuan Ma, Yide Bian, Hao Xu, Weitao Yang, Jingshu Zhao, Zhijian Duan, Feng Wang, Xiaotie Deng
2024 J jnl
Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts.
Swarm Evol. Comput.
Zichen Wei, Hui Wang, Shuai Wang, Zhixia Zhang, Zhihua Cui, Feng Wang, Hu Peng, Jia Zhao
2023 J jnl
Action Pick-up in Dynamic Action Space Reinforcement Learning.
CoRR
Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang
2023 — conf
An Enhanced Subregion Dominance Relation for Evolutionary Many-Objective Optimization.
NCAA (1)
Shuai Wang, Hui Wang, Zichen Wei, Futao Liao, Feng Wang
2023 J jnl
Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem.
Swarm Evol. Comput.
Shicheng Li, Feng Wang, Qi He, Xujie Wang
2023 — conf
Two-Stage Attention Model to Solve Large-Scale Traveling Salesman Problems.
ICONIP (2)
Qi He, Feng Wang, Jingge Song
2022 J jnl
A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization.
Inf. Sci.
Feng Wang, Xujie Wang, Shilei Sun
2022 J jnl
Artificial bee colony based on adaptive search strategy and random grouping mechanism.
Expert Syst. Appl.
Tao Zeng, Wenjun Wang, Hui Wang, Zhihua Cui, Feng Wang, Yun Wang, Jia Zhao
2022 J jnl
Improving artificial bee colony algorithm using modified nearest neighbor sequence.
J. King Saud Univ. Comput. Inf. Sci.
Kai Li, Hui Wang, Wenjun Wang, Feng Wang, Zhihua Cui
2021 J jnl
A new prediction strategy for dynamic multi-objective optimization using Gaussian Mixture Model.
Inf. Sci.
Feng Wang, Fanshu Liao, Yixuan Li, Hui Wang
2021 J jnl
An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows.
Comput. Ind. Eng.
Feng Wang, Fanshu Liao, Yixuan Li, Xuesong Yan, Xu Chen
2021 J jnl
Good for use, but better for choice: A relative model of competing social networking services.
Inf. Manag.
Xiao-Liang Shen, Yangjun Li, Yongqiang Sun, Feng Wang
2020 J jnl
A hybrid convolution network for serial number recognition on banknotes.
Inf. Sci.
Feng Wang, Huiqing Zhu, Wei Li, Kangshun Li
2020 J jnl
An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems.
IEEE Trans. Evol. Comput.
Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang
2020 J jnl
An ensemble learning based prediction strategy for dynamic multi-objective optimization.
Appl. Soft Comput.
Feng Wang, Yixuan Li, Fanshu Liao, Hongyang Yan
2020 B conf
FPA-DNN: A Forward Propagation Acceleration based Deep Neural Network for Ship Detection.
IJCNN
Feng Wang, Fanshu Liao, Huiqing Zhu
2019 J jnl
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization.
Swarm Evol. Comput.
Feng Wang, Yixuan Li, Heng Zhang, Ting Hu, Xiao-Liang Shen
2019 J jnl
Knowledge withholding in online knowledge spaces: Social deviance behavior and secondary control perspective.
J. Assoc. Inf. Sci. Technol.
Xiao-Liang Shen, Yangjun Li, Yongqiang Sun, Jun Chen, Feng Wang
2019 J jnl
Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest.
Inf. Manag.
Xiao-Liang Shen, Yangjun Li, Yongqiang Sun, Zhen-Jiao Chen, Feng Wang
2019 — conf
Using Distance Landscape Strategy for RGV Dynamic Scheduling Problem.
ICCI*CC
Wei Li, Ke Li, Xiang Meng, Feng Wang, Yan Chen, Kangshun Li
2018 J jnl
A hybrid particle swarm optimization algorithm using adaptive learning strategy.
Inf. Sci.
Feng Wang, Heng Zhang, Kangshun Li, Zhiyi Lin, Jun Yang, Xiao-Liang Shen
2018 — conf
A new evolutionary algorithm based on MOEA/D for portfolio optimization.
ICACI
Heng Zhang, Yaoyu Zhao, Feng Wang, Anran Zhang, Pengwei Yang, Xiao-Liang Shen
2018 J jnl
External archive matching strategy for MOEA/D.
Soft Comput.
Feng Wang, Heng Zhang, Yixuan Li, Yaoyu Zhao, Qi Rao
2017 J jnl
A multiobjective box-covering algorithm for fractal modularity on complex networks.
Appl. Soft Comput.
Hongrun Wu, Li Kuang, Feng Wang, Qi Rao, Maoguo Gong, Yuanxiang Li
2017 J jnl
Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction.
Soft Comput.
Feng Wang, Yongquan Zhang, Qi Rao, Kangshun Li, Hao Zhang
2017 — conf
Statistical Analysis of Social Coding in GitHub Hypernetwork.
SEAL
Li Kuang, Feng Wang, Heng Zhang, Yuanxiang Li
2016 J jnl
Empirical analysis: stock market prediction via extreme learning machine.
Neural Comput. Appl.
Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng
2016 B conf
Robust Sparse Subspace Learning for unsupervised feature selection.
IJCNN
Feng Wang, Qi Rao, Yongquan Zhang, Xu Chen
2015 B conf
A discrete particle swarm optimization box-covering algorithm for fractal dimension on complex networks.
CEC
Li Kuang, Feng Wang, Yuanxiang Li, Haiqiang Mao, Min Lin, Fei Yu
2014 B conf
A differential evolution box-covering algorithm for fractal dimension on complex networks.
IEEE Congress on Evolutionary Computation
Li Kuang, Zhiyong Zhao, Feng Wang, Yuanxiang Li, Fei Yu, Zhijie Li
2014 — conf
Accelerated Online Learning for Collaborative Filtering and Recommender Systems.
ICDM Workshops
Yuanxiang Li, Zhijie Li, Feng Wang, Li Kuang
2014 J jnl
An intelligent market making strategy in algorithmic trading.
Frontiers Comput. Sci.
Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang, Haoran Xie
2014 B conf
Stock volatility prediction using multi-kernel learning based extreme learning machine.
IJCNN
Feng Wang, Zhiyong Zhao, Xiaodong Li, Fei Yu, Hao Zhang
2011 — conf
Improving Stock Market Prediction by Integrating Both Market News and Stock Prices.
DEXA (2)
Xiaodong Li, Chao Wang, Jiawei Dong, Feng Wang, Xiaotie Deng, Shanfeng Zhu
2011 J jnl
Using selfish gene theory to construct mutual information and entropy based clusters for bivariate optimizations.
Soft Comput.
Feng Wang, Zhiyi Lin, Cheng Yang, Yuanxiang Li
2010 — conf
Algorithmic Trading Strategy Optimization Based on Mutual Information Entropy Based Clustering.
ISICA (1)
Feng Wang, Keren Dong, Xiaotie Deng
2010 — conf
Empirical Analysis: News Impact on Stock Prices Based on News Density.
ICDM Workshops
Xiaodong Li, Xiaotie Deng, Feng Wang, Keren Dong
2010 J jnl
Hybrid sampling on mutual information entropy-based clustering ensembles for optimizations.
Neurocomputing
Feng Wang, Cheng Yang, Zhiyi Lin, Yuanxiang Li, Yuan Yuan
2009 — conf
A New Virtual Population Based Incremental Learning Approach for Optimizations Using Selfish Gene Theory.
ICNC (5)
Feng Wang, Yuanxiang Li
2009 J jnl
Algorithmic trading system: design and applications.
Frontiers Comput. Sci. China
Feng Wang, Keren Dong, Xiaotie Deng
2009 Misc conf
Covered Interest Arbitrage in Exchange Rate Forecasting Markets.
FAW
Feng Wang, Yuanxiang Li, Cheng Yang
2009 A conf
SGMIEC: using selfish gene theory to construct mutualinformation and entropy based cluster for optimization.
GECCO
Feng Wang, Zhiyi Lin, Cheng Yang, Yuanxiang Li
2009 — conf
SGMIT: using selfish gene theory to construct mutualinformation trees for optimization.
GEC Summit
Feng Wang, Zhiyi Lin, Cheng Yang, Yuanxiang Li
2008 B conf
A new circuit representation method for Analog circuit design automation.
IEEE Congress on Evolutionary Computation
Feng Wang, Yuanxiang Li, Kangshun Li, Zhiyi Lin
2008 B conf
A new method of evolving digital circuit based on gene expres sion programming.
IEEE Congress on Evolutionary Computation
Kangshun Li, Jiusheng Liang, Wensheng Zhang, Feng Wang
2008 B conf
Triangular arbitrage in foreign exchange rate forecasting markets.
IEEE Congress on Evolutionary Computation
Feng Wang, Yuanxiang Li, Li Liang, Kangshun Li
2007 J jnl
Automated analog circuit design using two-layer genetic programming.
Appl. Math. Comput.
Feng Wang, Yuanxiang Li, Li Li, Kangshun Li