Lulu Sun

According to our database, Lulu Sun authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

How to Lead and Control IT Outsourcing Projects in Data-Rich Environments: A Vendor's Perspective.

Qining Jia, Zelong Wei, Zhanhe Du, Lulu Sun

IEEE Trans. Engineering Management, 2024

A survey of efficient fine-tuning methods for Vision-Language Models - Prompt and Adapter.

Jialu Xing, Jianping Liu, Jian Wang, Lulu Sun, Xi Chen, Xunxun Gu, Yingfei Wang

Comput. Graph., 2024

Routing Optimization for Large-Scale Inspection-Maintenance of EV Charging Spots With Multiple Types of Personnel and Composite Customer Satisfaction: A Multi-Stage Approach.

Meng Zhang, Lulu Sun, Qi Jiang, Wei Cui

IEEE Access, 2024

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.

Fei Bu, Lulu Sun, Meng Zhang, Dong Li

IEEE Access, 2024

2023

A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox.

XinYu Zou, Laifa Tao, Lulu Sun, Chao Wang, Jian Ma, Chen Lu

Reliab. Eng. Syst. Saf., September, 2023

A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model.

Jian Ma, XinYu Zou, Lulu Sun, Yujie Cheng, Chen Lu, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin

Neural Comput. Appl., February, 2023

Extension and Experimental Demonstration of Gait Transition Network for a Snake Robot.

Xin Shu, Chaoquan Tang, Gongbo Zhou, Ping Zhou, Lulu Sun, Xiaodong Yan

IEEE Robotics Autom. Lett., 2023

Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting.

Lulu Sun, Zhouming Liu, Peilin Yang, Choujun Zhan, Kim-Fung Tsang

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation.

Zhengyang Hou, Jingeng Fang, Yao Huang, Lulu Sun, Choujun Zhan, Kim-Fung Tsang

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Deep-supervised adversarial learning-based classification for digital histologic images.

Zhimin Wang, Zong Fan, Lulu Sun, Yao Hao, Hiram A. Gay, Wade L. Thorstad, Xiaowei Wang, Hua Li

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

A realistic network traffic forecasting method based on VMD and LSTM network.

Kaihan Wu, Junhui Lu, Fabing Lin, Yao Huang, Choujun Zhan, Lulu Sun

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topological structure.

Guohui Ding, Yankai Wang, Yuqi Liu, Chao Jiang, Lulu Sun

Proceedings of the IEEE International Conference on Big Data, 2023

Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement.

Guohui Ding, Wenjing Tang, Zhaoyi Yuan, Lulu Sun, Chunlong Fan

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network.

Lulu Sun, Zhouming Liu, Choujun Zhan, Hu Min

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2021

How to leverage manufacturing digitalization for green process innovation: an information processing perspective.

Zelong Wei, Lulu Sun

Ind. Manag. Data Syst., 2021

2019

Stochastic Virtual Machine Placement for Cloud Data Centers Under Resource Requirement Variations.

Junlong Zhou, Yi Zhang, Lulu Sun, Sisi Zhuang, Cheng Tang, Jin Sun

IEEE Access, 2019

A Novel Firefly Algorithm for Scheduling Bag-of-Tasks Applications Under Budget Constraints on Hybrid Clouds.

Yi Zhang, Junlong Zhou, Lulu Sun, Jingjing Mao, Jin Sun

IEEE Access, 2019

Density Clustering Algorithm Based on the Dynamic Selection of Cluster Center.

Lulu Sun, Ruilin Zhang

Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2019

2018

Adaptive Residual Networks for High-Quality Image Restoration.

Yongbing Zhang, Lulu Sun, Chenggang Yan, Xiangyang Ji, Qionghai Dai

IEEE Trans. Image Process., 2018

Image Denoising with Local Dense and Adaptive Global Residual Networks.

Lulu Sun, Yongbing Zhang, Chenggang Yan, Xiangyang Ji, Xinhong Hao, Yongdong Zhang, Qionghai Dai

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks.

Lulu Sun, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

2017

Prediction of mechanical equipment vibration trend using autoregressive integrated moving average model.

Yanming Yang, Weituan Wu, Lulu Sun

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network.

Lulu Sun, Yongbing Zhang, Wangpeng An, Jingtao Fan, Jian Zhang, Haoqian Wang, Qionghai Dai

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2015

Robust video decoding by exploiting residual source redundancy.

Lulu Sun, Shaoshuai Gao

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

2012

A highly available spectrum allocation service model in dynamic spectrum market.

Yingwei Jin, Lulu Sun, Yanming Shen, Keqiu Li, Geyong Min

Future Gener. Comput. Syst., 2012