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Jiawen Lu
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2020 – today
- 2024
- [j8]Zhiquan He
, Wu Ran
, Shulin Liu, Kehua Li, Jiawen Lu, Chang-Yong Xie, Yong Liu, Hong Lu
:
Low-Light Image Enhancement With Multi-Scale Attention and Frequency-Domain Optimization. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2861-2875 (2024) - [j7]Jiahui Zhang
, Jinlong Shi, Danping Zou
, Xin Shu
, Suqin Bai
, Jiawen Lu
, Haowei Zhu
, Jun Ni
, Yunhan Sun
:
EPM-Net: Efficient Feature Extraction, Point-Pair Feature Matching for Robust 6-D Pose Estimation. IEEE Trans. Multim. 26: 5120-5130 (2024) - 2023
- [j6]Peng Lu
, Mengdi Li
, Jiawen Lu, Zhuo Zhang
:
History dynamics of unified empire in China (770 BC to 476 BC). CAAI Trans. Intell. Technol. 8(3): 880-892 (2023) - [j5]Jing Shan, Jiawen Lu, Xu Chen, Li Yan, Zongmin Ma:
A Semantics-preserving Approach for Extracting RDF Knowledge from Object-oriented Databases. J. Web Eng. 22(2): 197-220 (2023) - [j4]Zi-Xiao Pan
, Ling Wang
, Jingjing Wang
, Jiawen Lu
:
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 983-994 (2023) - [j3]Jiawen Lu
, Jinlong Shi
, Haowei Zhu
, Jun Ni
, Xin Shu
, Yunhan Sun
, Zhigang Cheng
:
Depth Guidance and Intradomain Adaptation for Semantic Segmentation. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - 2022
- [j2]Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders:
Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. 168: 108140 (2022) - [i3]Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256 (2022) - 2021
- [c9]Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü
, Jia Zeng:
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE 2021: 2511-2522 - [c8]Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He:
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD 2021: 3441-3451 - [c7]Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng:
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS 2021: 23609-23620 - [i2]Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng:
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. CoRR abs/2105.12899 (2021) - 2020
- [c6]Fangwei Li, Jiawen Lu, Haibo Zhang:
Time-reversal ESD for Direction of Arrival Estimation over Multipath channels. ICCC 2020: 1319-1323 - [i1]Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders:
Bilevel Learning Model Towards Industrial Scheduling. CoRR abs/2008.04130 (2020)
2010 – 2019
- 2019
- [j1]Ling Wang
, Jiawen Lu:
A memetic algorithm with competition for the capacitated green vehicle routing problem. IEEE CAA J. Autom. Sinica 6(2): 516-526 (2019) - [c5]Jiawen Lu, Ling Wang:
A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem. CEC 2019: 646-653 - 2017
- [c4]Jiawen Lu, Lizhi Cai, Yang Zhang:
Path reduction of multiple test points in dynamic symbolic execution. ICIS 2017: 857-863 - [c3]Enda Jiang, Ling Wang, Jiawen Lu:
Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop. SSCI 2017: 1-7 - 2016
- [c2]Jiawen Lu, Lizhi Cai, Yang Zhang, Keyi Hong:
Complexity analysis and comparison of test paths based on DSE. SNPD 2016: 533-539 - [c1]Jiayu Gong, Jiawen Lu, Lizhi Cai:
An Induction to the Development of Software Quality Model Standards. TSA 2016: 117-122
Coauthor Index
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last updated on 2024-08-07 21:31 CEST by the dblp team
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