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Lulu Sun
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2020 – today
- 2024
- [j12]Fei Bu, Lulu Sun, Meng Zhang, Dong Li:
Reducing the Carbon Emissions of the Decentralized Joint Distribution Alliance by Order Allocation: A 2-Stage Approach Based on Routing Optimization and Worst-Case Estimation. IEEE Access 12: 79264-79275 (2024) - [j11]Meng Zhang, Lulu Sun, Qi Jiang, Wei Cui:
Routing Optimization for Large-Scale Inspection-Maintenance of EV Charging Spots With Multiple Types of Personnel and Composite Customer Satisfaction: A Multi-Stage Approach. IEEE Access 12: 158189-158206 (2024) - [j10]Jialu Xing, Jianping Liu, Jian Wang, Lulu Sun, Xi Chen, Xunxun Gu, Yingfei Wang:
A survey of efficient fine-tuning methods for Vision-Language Models - Prompt and Adapter. Comput. Graph. 119: 103885 (2024) - [j9]Qining Jia, Zelong Wei, Zhanhe Du, Lulu Sun:
How to Lead and Control IT Outsourcing Projects in Data-Rich Environments: A Vendor's Perspective. IEEE Trans. Engineering Management 71: 6233-6244 (2024) - 2023
- [j8]Jian Ma, XinYu Zou, Lulu Sun, Yujie Cheng, Chen Lu, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin:
A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model. Neural Comput. Appl. 35(4): 2947-2971 (2023) - [j7]Xin Shu, Chaoquan Tang, Gongbo Zhou, Ping Zhou, Lulu Sun, Xiaodong Yan:
Extension and Experimental Demonstration of Gait Transition Network for a Snake Robot. IEEE Robotics Autom. Lett. 8(1): 352-359 (2023) - [j6]XinYu Zou, Laifa Tao, Lulu Sun, Chao Wang, Jian Ma, Chen Lu:
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox. Reliab. Eng. Syst. Saf. 237: 109372 (2023) - [c12]Guohui Ding, Wenjing Tang, Zhaoyi Yuan, Lulu Sun, Chunlong Fan:
Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement. ADMA (4) 2023: 18-32 - [c11]Guohui Ding, Yankai Wang, Yuqi Liu, Chao Jiang, Lulu Sun:
DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topological structure. IEEE Big Data 2023: 5761-5769 - [c10]Kaihan Wu, Junhui Lu, Fabing Lin, Yao Huang, Choujun Zhan, Lulu Sun:
A realistic network traffic forecasting method based on VMD and LSTM network. ISCAS 2023: 1-5 - [c9]Lulu Sun, Zhouming Liu, Peilin Yang, Choujun Zhan, Kim-Fung Tsang:
Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting. NCAA (1) 2023: 175-190 - [c8]Zhengyang Hou, Jingeng Fang, Yao Huang, Lulu Sun, Choujun Zhan, Kim-Fung Tsang:
A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation. NCAA (2) 2023: 359-374 - 2022
- [c7]Lulu Sun, Zhouming Liu, Choujun Zhan, Hu Min:
COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network. PRICAI (1) 2022: 175-187 - 2021
- [j5]Zelong Wei, Lulu Sun:
How to leverage manufacturing digitalization for green process innovation: an information processing perspective. Ind. Manag. Data Syst. 121(5): 1026-1044 (2021)
2010 – 2019
- 2019
- [j4]Yi Zhang, Junlong Zhou, Lulu Sun, Jingjing Mao, Jin Sun:
A Novel Firefly Algorithm for Scheduling Bag-of-Tasks Applications Under Budget Constraints on Hybrid Clouds. IEEE Access 7: 151888-151901 (2019) - [j3]Junlong Zhou, Yi Zhang, Lulu Sun, Sisi Zhuang, Cheng Tang, Jin Sun:
Stochastic Virtual Machine Placement for Cloud Data Centers Under Resource Requirement Variations. IEEE Access 7: 174412-174424 (2019) - [c6]Lulu Sun, Ruilin Zhang:
Density Clustering Algorithm Based on the Dynamic Selection of Cluster Center. CyberC 2019: 253-260 - 2018
- [j2]Yongbing Zhang, Lulu Sun, Chenggang Yan, Xiangyang Ji, Qionghai Dai:
Adaptive Residual Networks for High-Quality Image Restoration. IEEE Trans. Image Process. 27(7): 3150-3163 (2018) - [c5]Lulu Sun, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai:
Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks. MMSP 2018: 1-6 - [c4]Lulu Sun, Yongbing Zhang, Chenggang Yan, Xiangyang Ji, Xinhong Hao, Yongdong Zhang, Qionghai Dai:
Image Denoising with Local Dense and Adaptive Global Residual Networks. PCM (1) 2018: 27-37 - 2017
- [c3]Yanming Yang, Weituan Wu, Lulu Sun:
Prediction of mechanical equipment vibration trend using autoregressive integrated moving average model. CISP-BMEI 2017: 1-5 - 2016
- [c2]Lulu Sun, Yongbing Zhang, Wangpeng An, Jingtao Fan, Jian Zhang, Haoqian Wang, Qionghai Dai:
Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network. PCM (1) 2016: 191-200 - 2015
- [c1]Lulu Sun, Shaoshuai Gao:
Robust video decoding by exploiting residual source redundancy. WCSP 2015: 1-5 - 2012
- [j1]Yingwei Jin, Lulu Sun, Yanming Shen, Keqiu Li, Geyong Min:
A highly available spectrum allocation service model in dynamic spectrum market. Future Gener. Comput. Syst. 28(6): 940-946 (2012)
Coauthor Index
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last updated on 2024-11-08 21:31 CET by the dblp team
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