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Peng Yang 0008
Person information
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- affiliation (former): University of Science and Technology of China, School of Computer Science and Technology, USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications, Hefei, China
Other persons with the same name
- Peng Yang — disambiguation page
- Peng Yang 0001 — Rutgers University, Computer Science Department, Piscataway, NJ, USA (and 1 more)
- Peng Yang 0002 — University of Tokyo, Japan
- Peng Yang 0003
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Peng Yang 0004
- Peng Yang 0005
- Peng Yang 0006 — Washington University in St. Louis, Preston M. Green Department of Electrical and Systems Engineering, MO, USA
- Peng Yang 0007
- Peng Yang 0009
- Peng Yang 0010 — King Abdullah University of Science and Technology, Saudi Arabia
- Peng Yang 0011
- Peng Yang 0012 — Chongqing University of Arts and Sciences, China
- Peng Yang 0013
- Peng Yang 0014
- Peng Yang 0015
- Peng Yang 0016
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2020 – today
- 2024
- [j19]Dongbin Jiao
Unmanned Aerial Vehicle-enabled grassland restoration with energy-sensitive of trajectory design and restoration areas allocation via a cooperative memetic algorithm. Eng. Appl. Artif. Intell. 133: 108084 (2024) - [j18]Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. Swarm Evol. Comput. 86: 101506 (2024) - [j17]Guiying Li
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1666-1680 (2024) - [i16]Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou:
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. CoRR abs/2405.08604 (2024) - [i15]Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou:
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. CoRR abs/2405.08674 (2024) - [i14]Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou:
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. CoRR abs/2407.00487 (2024) - [i13]Dongbin Jiao, Zihao Wang, Wen Fan, Weibo Yang, Peng Yang, Zhanhuan Shang, Shi Yan:
A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks. CoRR abs/2407.20585 (2024) - 2023
- [j16]Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang:
Differential evolution guided by approximated Pareto set for multiobjective optimization. Inf. Sci. 630: 669-687 (2023) - [j15]Wenjie Chen
Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. IEEE Trans Autom. Sci. Eng. 20(2): 1156-1169 (2023) - [j14]Jinghui Zhong
An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations. IEEE Trans. Comput. Soc. Syst. 10(1): 297-310 (2023) - [c14]Yongfan Lu
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. GECCO 2023: 722-730 - [i12]Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang:
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding. CoRR abs/2301.13374 (2023) - [i11]Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li:
Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer. CoRR abs/2305.03463 (2023) - [i10]Ren-Jian Wang
Diversity from Human Feedback. CoRR abs/2310.06648 (2023) - [i9]Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang:
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR abs/2312.01150 (2023) - 2022
- [j13]Peng Yang
Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search. Swarm Evol. Comput. 68: 100974 (2022) - [j12]Wenxing Lan
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. IEEE Trans. Evol. Comput. 26(4): 704-718 (2022) - [c13]Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang:
Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. BIC-TA 2022: 233-247 - [c12]Jianqi Cao
Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing. BIC-TA 2022: 408-418 - [c11]Haoquan Li
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning. ECCV (20) 2022: 524-540 - [i8]Dongbin Jiao, Lingyu Wang, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang, Ke Tang, Fengyuan Ren:
Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration. CoRR abs/2204.04666 (2022) - 2021
- [j11]Peng Yang, Qi Yang
Parallel exploration via negatively correlated search. Frontiers Comput. Sci. 15(5): 155333 (2021) - [j10]Wenjing Hong
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. Int. J. Autom. Comput. 18(2): 155-169 (2021) - [j9]Minshi Chen, Jianxun Chen, Peng Yang, Shengcai Liu, Ke Tang:
A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. Multim. Tools Appl. 80(20): 30775-30787 (2021) - [j8]Ke Tang
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. 25(3): 595-607 (2021) - [c10]Zhibin Miao, Jinghui Zhong, Peng Yang, Shibin Wang, Dong Liu:
Implicit Neural Network for Implicit Data Regression Problems. ICONIP (5) 2021: 187-195 - [c9]Qi Yang
Parallel Random Embedding with Negatively Correlated Search. ICSI (2) 2021: 339-351 - [i7]Chengbin Hou
Robust Dynamic Network Embedding via Ensembles. CoRR abs/2105.14557 (2021) - 2020
- [j7]Dongbin Jiao
Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. IEEE Internet Things J. 7(3): 1690-1703 (2020) - [c8]Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang:
Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. PPSN (1) 2020: 470-483 - [i6]Ke Tang, Shengcai Liu, Peng Yang, Xin Yao:
Few-shots Parameter Tuning via Co-evolution. CoRR abs/2007.00501 (2020) - [i5]Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang:
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. CoRR abs/2009.03603 (2020)
2010 – 2019
- 2019
- [j6]Peng Yang
A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. IEEE Access 7: 163105-163118 (2019) - [c7]Er Zhuo, Yunjie Deng, Zhewei Su, Peng Yang, Bo Yuan, Xin Yao:
An Experimental Study of Large-scale Capacitated Vehicle Routing Problems. CEC 2019: 1195-1202 - [c6]Dongbin Jiao
Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. ICC 2019: 1-7 - [c5]Yunwen Lei, Peng Yang, Ke Tang, Ding-Xuan Zhou:
Optimal Stochastic and Online Learning with Individual Iterates. NeurIPS 2019: 5416-5426 - [i4]Peng Yang, Ke Tang, Xin Yao:
Negatively Correlated Search as a Parallel Exploration Search Strategy. CoRR abs/1910.07151 (2019) - 2018
- [j5]Peng Yang
Turning High-Dimensional Optimization Into Computationally Expensive Optimization. IEEE Trans. Evol. Comput. 22(1): 143-156 (2018) - [c4]Dongjun Qian, Peng Yang, Ke Tang:
A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN. PRICAI (1) 2018: 490-502 - [i3]Peng Yang, Ke Tang, Xin Yao:
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. CoRR abs/1812.02500 (2018) - 2017
- [j4]Jinhong Zhong, Peng Yang
A Quality-Sensitive Method for Learning from Crowds. IEEE Trans. Knowl. Data Eng. 29(12): 2643-2654 (2017) - 2016
- [j3]Ke Tang, Peng Yang
Negatively Correlated Search. IEEE J. Sel. Areas Commun. 34(3): 542-550 (2016) - [c3]Peng Yang, Guanzhou Lu, Ke Tang, Xin Yao
A multi-modal optimization approach to single path planning for unmanned aerial vehicle. CEC 2016: 1735-1742 - [i2]Peng Yang, Ke Tang, Xin Yao:
High-dimensional Black-box Optimization via Divide and Approximate Conquer. CoRR abs/1603.03518 (2016) - 2015
- [j2]Peng Yang
Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. IEEE Trans. Cybern. 45(8): 1438-1449 (2015) - [j1]Peng Yang
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints. IEEE Trans. Robotics 31(5): 1130-1146 (2015) - [c2]Wenjing Hong, Guanzhou Lu, Peng Yang, Yong Wang, Ke Tang:
A new Evolutionary multi-objective algorithm for Convex Hull Maximization. CEC 2015: 931-938 - [i1]Ke Tang, Peng Yang, Xin Yao:
Negatively Correlated Cooperative Search. CoRR abs/1504.04914 (2015) - 2014
- [c1]Peng Yang, Ke Tang, José Antonio Lozano:
Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. IEEE Congress on Evolutionary Computation 2014: 1469-1476
Coauthor Index
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