Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. - Peng Yang 008; Ke Tang 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2014)

A new Evolutionary multi-objective algorithm for Convex Hull Maximization. - Wenjing Hong; Guanzhou Lu; Peng Yang 008; Yong Wang 002; Ke Tang 001 (CEC, 2015)

Negatively Correlated Cooperative Search. - Ke Tang 001; Peng Yang 008; Xin Yao 001 (CoRR, 2015)

Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. - Peng Yang 008; Ke Tang 001; Xiaofen Lu (IEEE Trans. Cybern., 2015)

Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints. - Peng Yang 008; Ke Tang 001; José Antonio Lozano 001; Xianbin Cao 001 (IEEE Trans. Robotics, 2015)

A multi-modal optimization approach to single path planning for unmanned aerial vehicle. - Peng Yang 008; Guanzhou Lu; Ke Tang 001; Xin Yao 001 (CEC, 2016)

High-dimensional Black-box Optimization via Divide and Approximate Conquer. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (CoRR, 2016)

Negatively Correlated Search. - Ke Tang 001; Peng Yang 008; Xin Yao 001 (IEEE J. Sel. Areas Commun., 2016)

A Quality-Sensitive Method for Learning from Crowds. - Jinhong Zhong; Peng Yang 008; Ke Tang 001 (IEEE Trans. Knowl. Data Eng., 2017)

A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN. - Dongjun Qian; Peng Yang 008; Ke Tang 001 (PRICAI (1), 2018)

Turning High-Dimensional Optimization Into Computationally Expensive Optimization. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

An Experimental Study of Large-scale Capacitated Vehicle Routing Problems. - Er Zhuo; Yunjie Deng; Zhewei Su; Peng Yang 008; Bo Yuan 006; Xin Yao 001 (CEC, 2019)

Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. - Dongbin Jiao; Peng Yang 008; Liqun Fu 001; Liangjun Ke; Ke Tang 001 (ICC, 2019)

Optimal Stochastic and Online Learning with Individual Iterates. - Yunwen Lei; Peng Yang 008; Ke Tang 001; Ding-Xuan Zhou (NeurIPS, 2019)

A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (IEEE Access, 2019)

Negatively Correlated Search as a Parallel Exploration Search Strategy. - Peng Yang 008; Ke Tang 001; Xin Yao 001 (CoRR, 2019)

Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. - Wenjing Hong; Peng Yang 008; Yiwen Wang; Ke Tang 001 (PPSN (1), 2020)

Few-shots Parameter Tuning via Co-evolution. - Ke Tang 001; Shengcai Liu; Peng Yang 008; Xin Yao 001 (CoRR, 2020)

Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. - Dongbin Jiao; Peng Yang 008; Liqun Fu 001; Liangjun Ke; Ke Tang 001 (IEEE Internet Things J., 2020)

Implicit Neural Network for Implicit Data Regression Problems. - Zhibin Miao; Jinghui Zhong; Peng Yang 008; Shibin Wang; Dong Liu 008 (ICONIP (5), 2021)

Parallel Random Embedding with Negatively Correlated Search. - Qi Yang 010; Peng Yang 008; Ke Tang 001 (ICSI (2), 2021)

Robust Dynamic Network Embedding via Ensembles. - Chengbin Hou; Guoji Fu; Peng Yang 008; Shan He 001; Ke Tang 001 (CoRR, 2021)

Parallel exploration via negatively correlated search. - Peng Yang 008; Qi Yang 010; Ke Tang 001; Xin Yao 001 (Frontiers Comput. Sci., 2021)

Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. - Wenjing Hong; Peng Yang 008; Ke Tang 001 (Int. J. Autom. Comput., 2021)

A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. - Minshi Chen; Jianxun Chen; Peng Yang 008; Shengcai Liu; Ke Tang 001 (Multim. Tools Appl., 2021)

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. - Ke Tang 001; Shengcai Liu; Peng Yang 008; Xin Yao 001 (IEEE Trans. Evol. Comput., 2021)

Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing. - Jianqi Cao; Guiying Li; Peng Yang 008 (BIC-TA, 2022)

Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. - Lan Tang; Xiaxi Li; Jinyuan Zhang; Guiying Li; Peng Yang 008; Ke Tang 001 (BIC-TA, 2022)

TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning. - Haoquan Li; Laoming Zhang; Daoan Zhang; Lang Fu; Peng Yang 008; Jianguo Zhang 001 (ECCV (20), 2022)

Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration. - Dongbin Jiao; Lingyu Wang; Peng Yang 008; Weibo Yang; Yu Peng; Zhanhuan Shang; Ke Tang 001; Fengyuan Ren (CoRR, 2022)

Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search. - Peng Yang 008; Hu Zhang 002; Yanglong Yu; Mingjia Li 002; Ke Tang 001 (Swarm Evol. Comput., 2022)

Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. - Wenxing Lan; Ziyuan Ye; Peijun Ruan; Jialin Liu 001; Peng Yang 008; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. - Yongfan Lu; Bingdong Li; Hong Qian; Wenjing Hong; Peng Yang 008; Aimin Zhou (GECCO, 2023)

Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer. - Peng Yang 008; Laoming Zhang; Haifeng Liu; Guiying Li (CoRR, 2023)

Diversity from Human Feedback. - Ren-Jian Wang; Ke Xue 001; Yutong Wang; Peng Yang 008; Haobo Fu; Qiang Fu 016; Chao Qian 001 (CoRR, 2023)

Pointer Networks Trained Better via Evolutionary Algorithms. - Muyao Zhong; Shengcai Liu; Bingdong Li; Haobo Fu; Ke Tang 001; Peng Yang 008 (CoRR, 2023)

An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations. - Jinghui Zhong; Tiantian Cheng; Wei-Li Liu; Peng Yang 008; Ying Lin 001; Jun Zhang 003 (IEEE Trans. Comput. Soc. Syst., 2023)

Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. - Wenjie Chen; Wenjing Hong; Hu Zhang 002; Peng Yang 008; Ke Tang 001 (IEEE Trans Autom. Sci. Eng., 2023)

Differential evolution guided by approximated Pareto set for multiobjective optimization. - Shuai Wang; Aimin Zhou; Bingdong Li; Peng Yang 008 (Inf. Sci., 2023)

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Yongfan Lu; Zixiang Di; Bingdong Li; Shengcai Liu; Hong Qian; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. - Bingdong Li; Zixiang Di; Yanting Yang; Hong Qian; Peng Yang 008; Hao Hao; Ke Tang 001; Aimin Zhou (CoRR, 2024)

A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks. - Dongbin Jiao; Zihao Wang; Wen Fan; Weibo Yang; Peng Yang 008; Zhanhuan Shang; Shi Yan (CoRR, 2024)

Unmanned Aerial Vehicle-enabled grassland restoration with energy-sensitive of trajectory design and restoration areas allocation via a cooperative memetic algorithm. - Dongbin Jiao; Lingyu Wang; Peng Yang 008; Weibo Yang; Yu Peng; Zhanhuan Shang; Fengyuan Ren (Eng. Appl. Artif. Intell., 2024)

Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. - Bingdong Li; Yongfan Lu; Hong Qian; Wenjing Hong; Peng Yang 008; Aimin Zhou (Swarm Evol. Comput., 2024)

Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. - Guiying Li; Peng Yang 008; Chao Qian 001; Richang Hong; Ke Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors With Variance-Bounded REINFORCE. - Junjie Zhao; Chengxi Zhang; Min Qin; Peng Yang 008 (IEEE Trans. Signal Process., 2025)

Domain-Agnostic Co-Evolution of Generalizable Parallel Algorithm Portfolios. - Zhiyuan Wang; Shengcai Liu; Peng Yang 008; Ke Tang 001 (CoRR, 2025)

Hardware-Aware DNN Compression for Homogeneous Edge Devices. - Kunlong Zhang; Guiying Li; Ning Lu 006; Peng Yang 008; Ke Tang 001 (CoRR, 2025)

Causal Inference-Based Large-Scale Multiobjective Optimization. - Bingdong Li; Yanting Yang; Peng Yang 008; Guiying Li; Ke Tang 001; Aimin Zhou (IEEE Trans. Evol. Comput., 2025)

Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network. - Bingdong Li; Mei Jiang; Hong Qian; Ke Tang 001; Aimin Zhou; Peng Yang 008 (CoRR, 2025)

A Two-Population Algorithm for Large-Scale Multiobjective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection. - Bingdong Li; Yan Zhang; Peng Yang 008; Xin Yao 001; Aimin Zhou (IEEE Trans. Evol. Comput., 2025)

Hyperbolic Neural Network-Based Preselection for Expensive Multiobjective Optimization. - Bingdong Li; Yanting Yang; Wenjing Hong; Peng Yang 008; Aimin Zhou (IEEE Trans. Evol. Comput., 2025)