On-Line Graphics Recognition. - Xiangyu Jin; Liu Wenyin; Jianyong Sun; Zhengxing Sun (PG, 2002)

User Adaptation for Online Sketchy Shape Recognition. - Zhengxing Sun; Liu Wenyin; Binbin Peng; Bin Zhang; Jianyong Sun (GREC, 2003)

Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model. - Zhengxing Sun; Wei Jiang; Jianyong Sun (ICMLC, 2005)

DE/EDA: A new evolutionary algorithm for global optimization. - Jianyong Sun; Qingfu Zhang 001; Edward P. K. Tsang (Inf. Sci., 2005)

An evolutionary algorithm with guided mutation for the maximum clique problem. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang (IEEE Trans. Evol. Comput., 2005)

Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang; John A. Ford (Towards a New Evolutionary Computation, 2006)

Iterated Local Search with Guided Mutation. - Qingfu Zhang 001; Jianyong Sun (IEEE Congress on Evolutionary Computation, 2006)

On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. - Ata Kabán; Jianyong Sun; Somak Raychaudhury; Louisa Nolan (Discovery Science, 2006)

Robust mixtures in the presence of measurement errors. - Jianyong Sun; Ata Kabán; Somak Raychaudhury (ICML, 2007)

Robust Visual Mining of Data with Error Information. - Jianyong Sun; Ata Kabán; Somak Raychaudhury (PKDD, 2007)

Combinations of estimation of distribution algorithms and other techniques. - Qingfu Zhang 001; Jianyong Sun; Edward P. K. Tsang (Int. J. Autom. Comput., 2007)

DICOM Image Secure Communications With Internet Protocols IPv6 and IPv4. - Jianguo Zhang; Fenghai Yu; Jianyong Sun; Yuanyuan Yang; Chenwen Liang (IEEE Trans. Inf. Technol. Biomed., 2007)

Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints. - Qingfu Zhang 001; Jianyong Sun; Gaoxi Xiao; Edward P. K. Tsang (IEEE Trans. Syst. Man Cybern. Part B, 2007)

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. - Jianyong Sun; Qingfu Zhang 001; Jin Li 005; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2008)

An Evolutionary Approach for Survivable Network under SRLG Constraints. - Yueheng Sun; Jianyong Sun; Qingfu Zhang 001 (ICNC (4), 2009)

A novel memetic algorithm for constrained optimization. - Jianyong Sun; Jonathan M. Garibaldi (IEEE Congress on Evolutionary Computation, 2010)

Robust mixture modeling using the Pearson type VII distribution. - Jianyong Sun; Ata Kabán; Jonathan M. Garibaldi (IJCNN, 2010)

Robust mixture clustering using Pearson type VII distribution. - Jianyong Sun; Ata Kabán; Jonathan M. Garibaldi (Pattern Recognit. Lett., 2010)

A fast algorithm for robust mixtures in the presence of measurement errors. - Jianyong Sun; Ata Kabán (IEEE Trans. Neural Networks, 2010)

Robust Dirichlet Process mixtures. - Jianyong Sun; Jonathan M. Garibaldi (ICNC, 2011)

Two-stage EDA-based approach for all optical WDM mesh network survivability under SRLG constraints. - Jianyong Sun (Appl. Soft Comput., 2011)

Grid-based implementation of XDS-I as part of image-enabled EHR for regional healthcare in Shanghai. - Jianguo Zhang; Kai Zhang; Yuanyuan Yang; Jianyong Sun; Tonghui Ling; Guangrong Wang; Yun Ling; Derong Peng (Int. J. Comput. Assist. Radiol. Surg., 2011)

A comparative study of novel robust clustering algorithms. - Jianyong Sun; Jonathan M. Garibaldi (Intell. Data Anal., 2012)

Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review. - Jianyong Sun; Jonathan M. Garibaldi; Charlie Hodgman (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Robust Bayesian Clustering for Replicated Gene Expression Data. - Jianyong Sun; Jonathan M. Garibaldi; Kim Kenobi (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation. - Jianyong Sun; Jonathan M. Garibaldi; Natalio Krasnogor; Qingfu Zhang 001 (Evol. Comput., 2013)

Canonical Correlation Analysis on Data With Censoring and Error Information. - Jianyong Sun; Simeon Keates (IEEE Trans. Neural Networks Learn. Syst., 2013)

Unsupervised robust Bayesian feature selection. - Jianyong Sun; Aimin Zhou (IJCNN, 2014)

MOEA/D with Adaptive Weight Adjustment. - Yutao Qi; Xiaoliang Ma 001; Fang Liu 001; Licheng Jiao; Jianyong Sun; Jianshe Wu (Evol. Comput., 2014)

Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem. - Jianyong Sun; Qingfu Zhang 001; Xin Yao 001 (IEEE Trans. Cybern., 2014)

Continuous ultrasound speckle tracking with Gaussian mixtures. - Colas Schretter; Jianyong Sun; Shaun Bundervoet; Ann Dooms; Peter Schelkens; Catarina de Brito Carvalho; Pieter Slagmolen; Jan D'hooge (EMBC, 2015)

On Accelerated Gradient Approximation for Least Square Regression with L1-Regularization. - Yongquan Zhang; Jianyong Sun (SSCI, 2015)

Estimates on compressed neural networks regression. - Yongquan Zhang; Youmei Li; Jianyong Sun; Jiabing Ji (Neural Networks, 2015)

An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. - Aimin Zhou; Jianyong Sun; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2015)

Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm. - Jianyong Sun; Hu Zhang 002; Aimin Zhou; Qingfu Zhang 001 (CoRR, 2016)

A multi-cycled sequential memetic computing approach for constrained optimisation. - Jianyong Sun; Jonathan M. Garibaldi; Yongquan Zhang; Abdallah Al-Shawabkeh (Inf. Sci., 2016)

A new learning based dynamic multi-objective optimisation evolutionary algorithm. - Xiaogang Fu; Jianyong Sun (CEC, 2017)

A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization. - Xiaogang Fu; Jianyong Sun; Qingfu Zhang 001 (UKCI, 2017)

A New Steady-State MOEA/D for Sparse Optimization. - Hui Li 020; Jianyong Sun; Yuanyuan Fan; Mingyang Wang; Qingfu Zhang 001 (UKCI, 2017)

Parallel pareto local search revisited: first experimental results on bi-objective UBQP. - Jialong Shi; Qingfu Zhang 001; Bilel Derbel; Arnaud Liefooghe; Jianyong Sun (GECCO, 2018)

Balancing exploration and exploitation in multiobjective evolutionary optimization. - Jianyong Sun; Hu Zhang 002; Qingfu Zhang 001; Huanhuan Chen (GECCO (Companion), 2018)

Image Reconstruction with Smoothed Mixtures of Regressions. - Colas Schretter; Jianyong Sun; Peter Schelkens (ICIP, 2018)

Reference-Inspired Many-Objective Evolutionary Algorithm Based on Decomposition. - Xiaogang Fu; Jianyong Sun (Comput. J., 2018)

From Adaptive Kernel Density Estimation to Sparse Mixture Models. - Colas Schretter; Jianyong Sun; Peter Schelkens (CoRR, 2018)

A decomposition-based archiving approach for multi-objective evolutionary optimization. - Yong Zhang 016; Dun-Wei Gong; Jianyong Sun; Bo-Yang Qu (Inf. Sci., 2018)

A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems. - Dunwei Gong; Yuyan Han; Jianyong Sun (Knowl. Based Syst., 2018)

MOEA/D with chain-based random local search for sparse optimization. - Hui Li 020; Jianyong Sun; Mingyang Wang; Qingfu Zhang 001 (Soft Comput., 2018)

Three-Dimensional Visual Patient Based on Electronic Medical Diagnostic Records. - Liehang Shi; Jianyong Sun; Yuanyuan Yang; Tonghui Ling; Mingqing Wang; Yiping Gu; Zhiming Yang; Yanqing Hua; Jianguo Zhang (IEEE J. Biomed. Health Informatics, 2018)

Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model. - Jianyong Sun; Aimin Zhou; Simeon Keates; Shengbin Liao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. - Aimin Zhou; Jinyuan Zhang; Jianyong Sun; Guixu Zhang (AAAI, 2019)

A Clustering-Based Multiobjective Evolutionary Algorithm for Balancing Exploration and Exploitation. - Wei Zheng 004; Jianyu Wu; Chenghu Zhang; Jianyong Sun (BIC-TA (1), 2019)

Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization. - Genghui Li; Qingfu Zhang 001; Jianyong Sun; Zhonghua Han (CEC, 2019)

An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm. - Wei Zheng 004; Jianyong Sun; Hui Li 020 (CEC, 2019)

MOEA/D with Two Types of Weight Vectors for Handling Constraints. - Qingling Zhu; Qingfu Zhang 001; Qiuzhen Lin; Jianyong Sun (CEC, 2019)

Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D. - Hui Li 020; Jianyong Sun; Qingfu Zhang 001; Yuxiang Shui (EMO, 2019)

Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (EMO, 2019)

Feature Fusion Attention Visual Question Answering. - Chunlin Wang; Jianyong Sun; Xiaolin Chen (ICMLC, 2019)

A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction. - Hui Li 020; Jianyong Sun; Deyu Meng; Qinfu Zhang (IEEE Access, 2019)

Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2019)

Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2019)

Gaussian Belief Propagation for Solving Network Utility Maximization with Delivery Contracts. - Shengbin Liao; Jianyong Sun (Entropy, 2019)

Balancing exploration and exploitation in multiobjective evolutionary optimization. - Hu Zhang 002; Jianyong Sun; Tonglin Liu; Ke Zhang 020; Qingfu Zhang 001 (Inf. Sci., 2019)

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. - Hui Li 020; Jingda Deng; Qingfu Zhang 001; Jianyong Sun (Swarm Evol. Comput., 2019)

A new learning-based adaptive multi-objective evolutionary algorithm. - Jianyong Sun; Hu Zhang 002; Aimin Zhou; Qingfu Zhang 001; Ke Zhang 020 (Swarm Evol. Comput., 2019)

Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. - Jianyong Sun; Hu Zhang 002; Aimin Zhou; Qingfu Zhang 001; Ke Zhang 020; Zhenbiao Tu; Kai Ye 001 (IEEE Trans. Evol. Comput., 2019)

A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. - Zhenkun Wang 001; Yew-Soon Ong; Jianyong Sun; Abhishek Gupta 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Adaptive Structural Hyper-Parameter Configuration by Q-Learning. - Haotian Zhang; Jianyong Sun; Zongben Xu (CEC, 2020)

Learning to be Global Optimizer. - Haotian Zhang; Jianyong Sun; Zongben Xu (CoRR, 2020)

Amortized Variational Deep Q Network. - Haotian Zhang; Yuhao Wang 006; Jianyong Sun; Zongben Xu (CoRR, 2020)

MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability. - Peng Jia 004; Xiaofei Yang 003; Li Guo 012; Bowen Liu; Jiadong Lin; Hao Liang; Jianyong Sun; Chengsheng Zhang; Kai Ye 001 (Genom. Proteom. Bioinform., 2020)

PPLS/D: Parallel Pareto Local Search Based on Decomposition. - Jialong Shi; Qingfu Zhang 001; Jianyong Sun (IEEE Trans. Cybern., 2020)

Learning to Search for MIMO Detection. - Jianyong Sun; Yiqing Zhang 001; Jiang Xue 001; Zongben Xu (IEEE Trans. Wirel. Commun., 2020)

Learning to Mutate for Differential Evolution. - Haotian Zhang; Jianyong Sun; Zongben Xu (CEC, 2021)

Continuous Encoding for Community Detection in Attribute Networks with Preserving Node Information. - Wei Zheng 004; Xin Liu 078; Jianyong Sun (CEC, 2021)

Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. - Hui Li 020; Yuxiang Shui; Jianyong Sun; Qingfu Zhang 001 (EMO, 2021)

Continuous encoding for community detection in complex networks. - Wei Zheng 004; Yiqing Zhang 001; Jianyong Sun (GECCO Companion, 2021)

Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001 (Appl. Soft Comput., 2021)

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient. - Jianyong Sun; Xin Liu 078; Thomas Bäck; Zongben Xu (IEEE Trans. Evol. Comput., 2021)

Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. - Haotian Zhang; Jialong Shi; Jianyong Sun; Zongben Xu (GECCO Companion, 2022)

Network Abnormality Location Algorithm Based on Greedy Monte Carlo Tree. - Chunlin Wang; Neng Yang; Jianyong Sun; Wanjin Xu; Xiaolin Chen (ICMLC, 2022)

Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition. - Wei Zheng 004; Jianyong Sun (Inf. Sci., 2022)

Deep alternating non-negative matrix factorisation. - Jianyong Sun; Qingming Kong; Zongben Xu (Knowl. Based Syst., 2022)

Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001; Kai Ye 001 (IEEE Trans. Cybern., 2022)

Graph Neural Network Encoding for Community Detection in Attribute Networks. - Jianyong Sun; Wei Zheng 004; Qingfu Zhang 001; Zongben Xu (IEEE Trans. Cybern., 2022)

Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection. - Yiqing Zhang 001; Jianyong Sun; Jiang Xue 001; Geoffrey Ye Li; Zongben Xu (IEEE Trans. Signal Process., 2022)

The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. - Yuxiang Shui; Hui Li 020; Jianyong Sun; Qingfu Zhang 001 (CEC, 2023)

A Modified MOEA/D Based on Guided Search Directions for Large-scale Multiobjective Optimization. - Yanhui Tang; Hui Li 020; Yuxiang Shui; Jianyong Sun (CEC, 2023)

Improving Neighborhood Exploration Mechanism to Speed up PLS. - Yuhao Kang; Jialong Shi; Jianyong Sun; Ye Fan 006 (GECCO, 2023)

Learning from Few Demonstrations with Frame-Weighted Motion Generation. - Jianyong Sun; Jens Kober; Michael Gienger; Jihong Zhu 002 (ISER, 2023)

A Douglas-Rachford Splitting Approach Based Deep Network for MIMO Signal Detection. - Rongchao Sun; Yiqing Zhang 001; Hanying Zheng 003; Jianhua Guo; Jianyong Sun; Jiang Xue 001 (WCNC, 2023)

A Two-Stage Majorization-Minimization Based Beamforming for Downlink Massive MIMO. - Qian Xu 017; Jianyong Sun (WCNC, 2023)

Learning unified mutation operator for differential evolution by natural evolution strategies. - Haotian Zhang; Jianyong Sun; Zongben Xu; Jialong Shi (Inf. Sci., 2023)

Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. - Haotian Zhang; Jianyong Sun; Thomas Bäck; Qingfu Zhang 001; Zongben Xu (IEEE Comput. Intell. Mag., 2023)

Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. - Genghui Li; Zhenkun Wang 001; Qingfu Zhang 001; Jianyong Sun (IEEE Trans. Evol. Comput., 2023)

Learning Adaptive Differential Evolution by Natural Evolution Strategies. - Haotian Zhang; Jianyong Sun; Kay Chen Tan; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. - Zhongju Yuan; Genghui Li; Zhenkun Wang 001; Jianyong Sun; Ran Cheng (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Continuous Encoding for Overlapping Community Detection in Attributed Network. - Wei Zheng 004; Jianyong Sun; Qingfu Zhang 001; Zongben Xu (IEEE Trans. Cybern., 2023)

Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection. - Shijie Li; Junmin Liu; Weilin Shen; Jianyong Sun; Chengli Tan (Comput. Vis. Image Underst., 2023)

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. - Haotian Zhang; Jianyong Sun; Yuhao Wang 006; Jialong Shi; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. - Xin Liu 078; Jianyong Sun; Qingfu Zhang 001; Zhenkun Wang 001; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System. - Qian Xu 017; Jianyong Sun; Zongben Xu (IEEE Trans. Veh. Technol., 2023)

A Q-learning Evolutionary Multiobjective Framework for Multiobjective Optimization with Separable and Interacting Variables. - Hui Li; Yanhui Tang; Yuxiang Shui; Jianyong Sun (CEC, 2024)

On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. - Wei Wang; Jialong Shi; Jianyong Sun; Arnaud Liefooghe; Qingfu Zhang 001; Ye Fan 006 (CEC, 2024)

A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. - Haotian Zhang; Jialong Shi; Jianyong Sun; Ali Wagdy Mohamed; Zongben Xu (GECCO Companion, 2024)

New techniques to improve neighborhood exploration in pareto local search. - Yuhao Kang; Jialong Shi; Jianyong Sun; Qingfu Zhang 001; Ye Fan 006 (Expert Syst. Appl., 2024)

Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network. - Qingming Kong; Jianyong Sun; Zongben Xu (Knowl. Based Syst., 2024)

Improving Signal Detector by Precoding in Uplink Multiuser MIMO System. - Yiqing Zhang 001; Jianyong Sun; Jiang Xue 001; Zongben Xu (IEEE Trans. Veh. Technol., 2024)

Addressing posterior collapse by splitting decoders in variational recurrent autoencoders. - Jianyong Sun; Fan Song; Qiaohong Li (Neurocomputing, 2024)

Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models. - Yuxiang Shui; Hui Li 020; Jianyong Sun; Qingfu Zhang 001 (Inf. Sci., 2024)

Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling. - Qingming Kong; Jianyong Sun; Yongquan Zhang; Zongben Xu (IEEE Trans. Cybern., 2024)

Objective Extraction for Simplifying Many-Objective Solution Sets. - Genghui Li; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. - Jialong Shi; Jianyong Sun; Qingfu Zhang 001; Haotian Zhang; Ye Fan 006 (IEEE Trans. Cybern., 2024)

A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. - Jingda Deng; Qingfu Zhang 001; Jianyong Sun; Hui Li 020 (IEEE Trans. Evol. Comput., 2024)

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. - Jingda Deng; Jianyong Sun; Qingfu Zhang 001; Hui Li 020 (AAAI, 2025)

Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework. - Yingze Zhong; Hui Li; Zhan Shi; Jianyong Sun (CEC, 2025)

Evo-SINDy: Universal Discovery of Partial Differential Equations Using Cooperative Evolutionary Computation. - Yuxin Jiang; Jianyong Sun (GECCO, 2025)

A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. - Wei Wang; Jialong Shi; Jianyong Sun; Arnaud Liefooghe; Qingfu Zhang 001 (Expert Syst. Appl., 2025)

Exploring cluster-dependent isomorphism in multi-objective evolutionary optimization. - Wei Zheng 004; Jianyong Sun (Expert Syst. Appl., 2025)

Regularity-based evolutionary multi-objective optimization review. - Yulan Lu; Xueyi Guo; Jinggai Geng; Shuai Wang 050; Zhenkun Wang 001; Aimin Zhou; Jianyong Sun; Xinhui Si; Xin Sun; Hu Zhang 002 (Swarm Evol. Comput., 2025)

Cross-Channel Model-Driven Learning for Massive MIMO Detection by HyperNetwork. - Yiqing Zhang 001; Jianyong Sun; Jiang Xue 001; Zongben Xu (IEEE Trans. Wirel. Commun., 2025)

Learning to Insert for Constructive Neural Vehicle Routing Solver. - Fu Luo; Xi Lin 001; Mengyuan Zhong; Fei Liu 044; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2025)

Efficient MU-MIMO Beamforming Based on Majorization-Minimization and Deep Unfolding. - Qian Xu 017; Jianyong Sun; Zongben Xu (IEEE Trans. Wirel. Commun., 2025)

HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design. - Chentong Chen; Mengyuan Zhong; Jianyong Sun; Ye Fan; Jialong Shi (CoRR, 2025)

Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree. - Jingda Deng; Jianyong Sun; Qingfu Zhang 001; Hui Li 020 (IEEE Trans. Evol. Comput., 2025)