Jiawen Lu

28 papers A* 3B 1C 3Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive sample repulsion against class-specific counterfactuals for explainable imbalanced classification.
Neural Networks
Yu Hao, Xin Gao, Xinping Diao, Yuan Li, Yukun Lin, Tianyang Chen, Qiangwei Li, Jiawen Lu
2025 J jnl
A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection.
Appl. Soft Comput.
Bing Xue, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Meng Xu, Taizhi Wang, Jiawen Lu
2025 J jnl
A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field.
Knowl. Based Syst.
Lingli Chen, Xin Gao, Jing Liu, Yunkai Zhang, Xinping Diao, Taizhi Wang, Jiawen Lu, Zhihang Meng
2025 J jnl
Ellipsoid-SLAM: enhancing dynamic scene understanding through ellipsoidal object representation and trajectory tracking.
Vis. Comput.
Haowei Zhu, Suqin Bai, Jinlong Shi, Jiawen Lu, Xin Zuo, Shucheng Huang, Xu Yao
2025 J jnl
IOFusion: instance segmentation and optical-flow guided 3D reconstruction in dynamic scenes.
Vis. Comput.
Haowei Zhu, Suqin Bai, Jinlong Shi, Chenggen Wang, Yunhan Sun, Jiawen Lu, Xin Shu, Shucheng Huang
2025 J jnl
Low-Light Image Enhancement via Multi-Exposure Progressive Contrastive Regularization.
IEEE Trans. Circuits Syst. Video Technol.
Zuojie Xie, Hao Ren, Junjian Huang, Zhiquan He, Hong Lu, Yong Liu, Jiawen Lu, Lvfan Yuan, Shulin Liu, Changyong Xie
2024 J jnl
EPM-Net: Efficient Feature Extraction, Point-Pair Feature Matching for Robust 6-D Pose Estimation.
IEEE Trans. Multim.
Jiahui Zhang, Jinlong Shi, Danping Zou, Xin Shu, Suqin Bai, Jiawen Lu, Haowei Zhu, Jun Ni, Yunhan Sun
2024 J jnl
Low-Light Image Enhancement With Multi-Scale Attention and Frequency-Domain Optimization.
IEEE Trans. Circuits Syst. Video Technol.
Zhiquan He, Wu Ran, Shulin Liu, Kehua Li, Jiawen Lu, Chang-Yong Xie, Yong Liu, Hong Lu
2024 J jnl
Real-Time Attentive Dilated U-Net for Extremely Dark Image Enhancement.
ACM Trans. Multim. Comput. Commun. Appl.
Junjian Huang, Hao Ren, Shulin Liu, Yong Liu, Chuanlu Lv, Jiawen Lu, Changyong Xie, Hong Lu
2023 J jnl
A Semantics-preserving Approach for Extracting RDF Knowledge from Object-oriented Databases.
J. Web Eng.
Jing Shan, Jiawen Lu, Xu Chen, Li Yan, Zongmin Ma
2023 J jnl
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell.
Zi-Xiao Pan, Ling Wang, Jingjing Wang, Jiawen Lu
2023 J jnl
Depth Guidance and Intradomain Adaptation for Semantic Segmentation.
IEEE Trans. Instrum. Meas.
Jiawen Lu, Jinlong Shi, Haowei Zhu, Jun Ni, Xin Shu, Yunhan Sun, Zhigang Cheng
2023 J jnl
History dynamics of unified empire in China (770 BC to 476 BC).
CAAI Trans. Intell. Technol.
Peng Lu, Mengdi Li, Jiawen Lu, Zhuo Zhang
2023 J jnl
RDF(S) Store in Object-Relational Databases.
J. Database Manag.
Zongmin Ma, Daiyi Li, Jiawen Lu, Ruizhe Ma, Li Yan
2022 J jnl
Bilevel learning for large-scale flexible flow shop scheduling.
Comput. Ind. Eng.
Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders
2022 J jnl
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition.
CoRR
Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo
2021 A* conf
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
NeurIPS
Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
2021 A* conf
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem.
KDD
Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
2021 A* conf
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems.
ICDE
Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü, Jia Zeng
2021 J jnl
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems.
CoRR
Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng
2020 J jnl
Bilevel Learning Model Towards Industrial Scheduling.
CoRR
Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders
2020 C conf
Time-reversal ESD for Direction of Arrival Estimation over Multipath channels.
ICCC
Fangwei Li, Jiawen Lu, Haibo Zhang
2019 B conf
A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem.
CEC
Jiawen Lu, Ling Wang
2019 J jnl
A memetic algorithm with competition for the capacitated green vehicle routing problem.
IEEE CAA J. Autom. Sinica
Ling Wang, Jiawen Lu
2017 — conf
Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop.
SSCI
Enda Jiang, Ling Wang, Jiawen Lu
2017 C conf
Path reduction of multiple test points in dynamic symbolic execution.
ICIS
Jiawen Lu, Lizhi Cai, Yang Zhang
2016 — conf
An Induction to the Development of Software Quality Model Standards.
TSA
Jiayu Gong, Jiawen Lu, Lizhi Cai
2016 C conf
Complexity analysis and comparison of test paths based on DSE.
SNPD
Jiawen Lu, Lizhi Cai, Yang Zhang, Keyi Hong