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Jinbiao Chen
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Journal Articles
- 2024
- [j7]Lixiang Fu, Jinbiao Chen, Zhuoying Wang, Tao Zang, Huandong Chen, Shulei Wu, Yuchen Zhao:
MSFANet: multi-scale fusion attention network for mangrove remote sensing lmage segmentation using pattern recognition. J. Cloud Comput. 13(1): 27 (2024) - 2022
- [j6]Jinbiao Chen, Huiyu Zhang, Qingxin Chen, Ning Mao, Jiahai Wang
:
Performance analysis of flexible flow shop with parallel manufacturing cells. Comput. Ind. Eng. 173: 108739 (2022) - [j5]Caogen Hong
CD-Surv: a contrastive-based model for dynamic survival analysis. Health Inf. Sci. Syst. 10(1): 5 (2022) - [j4]Shulei Wu
Road rage detection algorithm based on fatigue driving and facial feature point location. Neural Comput. Appl. 34(15): 12361-12371 (2022) - 2021
- [j3]Jiebin Chu, Jinbiao Chen
Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. J. Biomed. Informatics 115: 103710 (2021) - 2013
- [j2]Jinbiao Chen, Yongcai Wang, Yuexuan Wang, Changjian Hu:
Stair Scheduling for Data Collection in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - 2010
- [j1]Yongcai Wang, Yuexuan Wang, Xiao Qi, Liwen Xu, Jinbiao Chen, Guanyu Wang:
L3SN: A Level-Based, Large-Scale, Longevous Sensor Network System for Agriculture Information Monitoring. Wirel. Sens. Netw. 2(9): 655-660 (2010)
Conference and Workshop Papers
- 2023
- [c9]Zijun Liao, Jinbiao Chen, Zizhen Zhang
Solving Job-Shop Scheduling Problem via Deep Reinforcement Learning with Attention Model. IEA/AIE (2) 2023: 201-212 - [c8]Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen:
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. NeurIPS 2023 - [c7]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS 2023 - 2022
- [c6]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee:
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. NeurIPS 2022 - [c5]Jinbiao Chen, Huanhuan Huang, Zizhen Zhang, Jiahai Wang:
Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows. PPSN (1) 2022: 356-370 - [c4]Hang Zhang, Zizhen Zhang, Jinbiao Chen, Jiahai Wang:
Solving Quadratic Traveling Salesman Problem with Deep Reinforcement Learning. SMC 2022: 2508-2513 - [c3]Te Ye, Zizhen Zhang, Jinbiao Chen, Jiahai Wang:
Weight-Specific-Decoder Attention Model to Solve Multiobjective Combinatorial Optimization Problems. SMC 2022: 2839-2844 - 2014
- [c2]Jinbiao Chen, Xiao Qi, Yongcai Wang:
An efficient solution to locate sparsely congested links by network tomography. ICC 2014: 1278-1283 - 2010
- [c1]Shijun Ying, Jinbiao Chen, Chaojian Shi:
Target recognition for marine search and rescue radar. ICNC 2010: 676-679
Informal and Other Publications
- 2023
- [i3]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR abs/2310.15195 (2023) - [i2]Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen:
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. CoRR abs/2310.15196 (2023) - 2022
- [i1]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. CoRR abs/2210.07686 (2022)
Coauthor Index
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