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ORCIDJialong Shi
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2020 – today
- 2026
[j16]Haotian Zhang
, Jialong Shi, Jianyong Sun, Qingfu Zhang, Zongben Xu:
Neuro-PLS: A Generalizable Local Search Framework for Multiobjective Combinatorial Optimization. IEEE Trans. Evol. Comput. 30(4): 1564-1578 (2026)- [j15]Ye Fan, Xiaotong Sun, Rugui Yao, Tong-Xing Zheng, Xiaoya Zuo, Jialong Shi:
Physical Layer Key Generation of LEO Satellite Communication Based on OTFS Technology. IEEE Trans. Veh. Technol. 75(5): 8675-8680 (2026) - [j14]Ye Fan, Wanying Su, Huaihai Ma, Rugui Yao, Kang Han, Jialong Shi, Xiaoya Zuo:
A Novel DT-Domain MRC-Based Method for Joint OTFS Channel Estimation and Signal Detection. IEEE Wirel. Commun. Lett. 15: 675-679 (2026) - [c13]Kexin Zhu, Jialong Shi, Jianyong Sun, Mingen Kuang, Ye Fan:
Vibroseis Vehicle Routing Problem with Spatio-Temporal Coupled Constraints. GECCO Companion 2026: 1335-1343 - [c12]Shengming Sun, Jialong Shi:
Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution. GECCO Companion 2026: 1434-1440 - [i13]Chentong Chen, Mengyuan Zhong, Ye Fan, Jialong Shi, Jianyong Sun:
TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design. CoRR abs/2601.21239 (2026) - [i12]Yifan Shi, Jialong Shi, Jiayi Wang, Ye Fan, Jianyong Sun:
MIRROR: A Multi-Agent Framework with Iterative Adaptive Revision and Hierarchical Retrieval for Optimization Modeling in Operations Research. CoRR abs/2602.03318 (2026) - [i11]Hongyu Wang, Yuhan Jing, Yibing Shi, Enjin Zhou, Haotian Zhang, Jialong Shi:
Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP. CoRR abs/2603.20702 (2026) - [i10]Shengming Sun, Jialong Shi:
Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution. CoRR abs/2604.16420 (2026) - [i9]Mingen Kuang, Xudong Deng, Xi Lin, Ye Fan, Jianyong Sun, Jialong Shi:
LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization. CoRR abs/2606.00718 (2026) - 2025
- [j13]Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang:
A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. Expert Syst. Appl. 263: 125611 (2025) - [j12]Ye Fan, Zhi Liu, Rugui Yao, Hao Jiang, Jialong Shi, Xu Yang, Xiaoya Zuo, Victor C. M. Leung:
Multi-Objective Regular Mapping QoS Path Planning for Mega LEO Constellation Networks. IEEE Trans. Commun. 73(10): 9704-9719 (2025) - [c11]Feng Luan, Jialong Shi, Jianyong Sun:
Controllable Multimodal Landscapes: An Interpretable Surrogate Model for Combinatorial Spaces and Its Application to the k-Order Traveling Salesman Problem. SMC 2025: 1428-1433 - [i8]Chentong Chen, Mengyuan Zhong, Jianyong Sun, Ye Fan, Jialong Shi:
HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design. CoRR abs/2508.13333 (2025) - 2024
- [j11]Yuhao Kang, Jialong Shi, Jianyong Sun, Qingfu Zhang, Ye Fan:
New techniques to improve neighborhood exploration in pareto local search. Expert Syst. Appl. 254: 124296 (2024) - [j10]Jialong Shi, Jianyong Sun, Qingfu Zhang, Haotian Zhang, Ye Fan:
Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. IEEE Trans. Cybern. 54(4): 2369-2382 (2024) - [c10]Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan:
On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. CEC 2024: 1-8 - [c9]Haotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, Zongben Xu:
A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. GECCO Companion 2024: 423-426 - [i7]Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang:
A New Parallel Cooperative Landscape Smoothing Algorithm and Its Applications on TSP and UBQP. CoRR abs/2401.03237 (2024) - [i6]Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan:
On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. CoRR abs/2407.19676 (2024) - 2023
- [j9]Haotian Zhang, Jianyong Sun, Zongben Xu, Jialong Shi:
Learning unified mutation operator for differential evolution by natural evolution strategies. Inf. Sci. 632: 594-616 (2023) - [j8]Haotian Zhang, Jianyong Sun, Yuhao Wang, Jialong Shi, Zongben Xu:
Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1511-1526 (2023) - [c8]Zhenhua Zheng, Bo Yan, Jialong Shi:
User Experience Analysis of Library Intelligent Book-Lending Cabinets Service Based on MOA Model༚Case Study of China. CCHI 2023: 290-301 - [c7]Yuhao Kang, Jialong Shi, Jianyong Sun, Ye Fan:
Improving Neighborhood Exploration Mechanism to Speed up PLS. GECCO 2023: 688-694 - 2022
- [j7]Jialong Shi, Jianyong Sun, Qingfu Zhang, Kai Ye:
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. IEEE Trans. Cybern. 52(1): 495-507 (2022) - [c6]Haotian Zhang, Jialong Shi, Jianyong Sun, Zongben Xu:
Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. GECCO Companion 2022: 383-386 - 2021
- [j6]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems. Appl. Soft Comput. 103: 107157 (2021) - 2020
- [j5]Jialong Shi, Qingfu Zhang, Jianyong Sun:
PPLS/D: Parallel Pareto Local Search Based on Decomposition. IEEE Trans. Cybern. 50(3): 1060-1071 (2020)
2010 – 2019
- 2019
- [c5]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem. EMO 2019: 114-125 - [i5]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem. CoRR abs/1906.03223 (2019) - [i4]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition. CoRR abs/1911.04658 (2019) - 2018
- [j4]Jialong Shi, Qingfu Zhang:
A new cooperative framework for parallel trajectory-based metaheuristics. Appl. Soft Comput. 65: 374-386 (2018) - [j3]Jialong Shi, Qingfu Zhang:
Corrigendum to "A new cooperative framework for parallel trajectory-based metaheuristics" [Applied Soft Computing 65 (2018) 374-386]. Appl. Soft Comput. 70: 946 (2018) - [j2]Jialong Shi, Qingfu Zhang, Edward P. K. Tsang:
EB-GLS: an improved guided local search based on the big valley structure. Memetic Comput. 10(3): 333-350 (2018) - [c4]Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun:
Parallel pareto local search revisited: first experimental results on bi-objective UBQP. GECCO 2018: 753-760 - 2017
- [c3]Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe:
A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. CEC 2017: 557-564 - [c2]Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel:
Using Parallel Strategies to Speed up Pareto Local Search. SEAL 2017: 62-74 - [i3]Jialong Shi, Qingfu Zhang, Edward P. K. Tsang:
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure. CoRR abs/1709.07576 (2017) - [i2]Jialong Shi, Qingfu Zhang:
A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics. CoRR abs/1709.08902 (2017) - [i1]Jialong Shi, Qingfu Zhang:
PPLS/D: Parallel Pareto Local Search based on Decomposition. CoRR abs/1709.09785 (2017) - 2015
- [j1]Ruiya Chai, Yian Zhu, Wei Lu, Jialong Shi:
基于扩展窗口的时序不完备诊断方法研究 (Extended Observation Window for Diagnosing Discrete-event Systems with Incomplete Event Sequence Model). 计算机科学 42(10): 222-225 (2015) - 2012
- [c1]Yian Zhu, Yue Li, Jingling Xue, Tian Tan, Jialong Shi, Yang Shen, Chunyan Ma:
What Is System Hang and How to Handle It. ISSRE 2012: 141-150
Coauthor Index
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last updated on 2026-08-21 02:23 CEST by the dblp team
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