Lida Zhu

According to our database, Lida Zhu authored at least 28 papers between 2007 and 2026.

Collaborative distances:

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

2026

Calibration of Sparse LiDAR and Camera Based on Spatial Feature Analysis and Adaptive Constraints.

Hui Shi, Lida Zhu, Jianyu Yang, Shaoping Hu, Guofa Wang

IEEE Trans. Intell. Transp. Syst., January, 2026

A fusion prediction model of tool wear based on physical information and machine learning in five-axis milling TC4 titanium alloy.

Shaoqing Qin, Lida Zhu, Yanpeng Hao, Yiming Huang, Qiuyu Qin, Degang Qin, Tianming Yan, Zhichao Yang, Jianhua Yong, Xin Shu

Robotics Comput. Integr. Manuf., 2026

In-situ monitoring and ensemble learning for micro-pore distribution prediction in laser-directed energy deposition.

Miao Yu, Lida Zhu, Zhichao Yang, Jinsheng Ning

Eng. Appl. Artif. Intell., 2026

Machining error prediction of five-axis milling thin-walled components based on finite element and machine learning.

Shaoqing Qin, Lida Zhu, Yuanzhe Jiang, Yanpeng Hao, Yiming Huang, Mingxi Chen, Shangqi Jian

Adv. Eng. Informatics, 2026

2025

Knowledge-based intelligent ensemble monitoring method of grit wear in ultrasonic assisted grinding.

Lida Zhu, Shaoqing Qin, Yanpeng Hao, Tianming Yan, Zhichao Yang, Jianhua Yong, Xin Shu

Adv. Eng. Informatics, 2025

MSU3D: Multi-Scale 3D Convolutional Neural Network for Lung Nodule Segmentation.

Mengtong Wu, Xulei Zhao, Zonglin Yang, Lida Zhu, Xizi Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MA-HybridBTS: Modality-Aware Multi-Scale Hybrid 3D Conv-Transformer for Brain Tumor Segmentation.

Jiaqi Wang, Shiqi Miao, Na Qin, Xizi Chen, Xiaolin Chen, Lida Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

In Situ Monitoring and Innovative Feature Fusion Neural Network for Enhanced Laser-Directed Energy Deposition Track Geometry Prediction and Control.

Miao Yu, Lida Zhu, Zhichao Yang, Jinsheng Ning

IEEE Trans. Instrum. Meas., 2024

A Network Enhancement Method to Identify Spurious Drug-Drug Interactions.

Huan Wang, Ziwen Cui, Yinguang Yang, Baijing Wang, Lida Zhu, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation.

Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang

CoRR, 2024

Causal Invariant Hierarchical Molecular Representation for Out-of-distribution Molecular Property Prediction.

Xinlong Wen, Yifei Guo, Shuoying Wei, Wenhan Long, Lida Zhu, Rongbo Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation.

Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction.

Shuoying Wei, Xinlong Wen, Lida Zhu, Songquan Li, Rongbo Zhu

CoRR, 2023

ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction.

Shuoying Wei, Songquan Li, Yifei Guo, Lida Zhu, Xinlong Wen, Rongbo Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Vision-Sensor-Assisted Probabilistic Localization Method for Indoor Environment.

Hui Shi, Jianyu Yang, Jiashun Shi, Lida Zhu, Guofa Wang

Sensors, 2022

DSEATM: drug set enrichment analysis uncovering disease mechanisms by biomedical text mining.

Zhi-Hui Luo, Lida Zhu, Ya-Min Wang, Sheng Hu Qian, Menglu Li, Wen Zhang, Zhen-Xia Chen

Briefings Bioinform., 2022

2019

Efficient Network Representations Learning: An Edge-Centric Perspective.

Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2019

Predicting Potential Drug-Target Interactions with Multi-label Learning and Ensemble Learning.

Lida Zhu, Jun Yuan

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Subnetwork identification and chemical modulation for neural regeneration: A study combining network guided forest and heat diffusion model.

Hui Wang, Gang Wang, Lida Zhu, Xuan Xu, Bo Diao, Hong-Yu Zhang

Quant. Biol., 2018

2015

Integration of a prognostic gene module with a drug sensitivity module to identify drugs that could be repurposed for breast cancer therapy.

Lida Zhu, Juan Liu

Comput. Biol. Medicine, 2015

A systems chemical biology approach to identify targets of antibacterial agents: A case study of Chelerythrine and Rhein.

Lida Zhu, Chang-Shou He, Ye-Mao Liu, Yuan Quan, Jing Chen, Qiang Zhu, Qingye Zhang, Hong-yu Zhang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2010

Modelling on conflict resolution of collaborative design.

Junming Hou, Chong Su, Lida Zhu, Wanshan Wang

Int. J. Model. Identif. Control., 2010

2009

Analysis of dynamic characteristic and structure optimisation for hybrid machine tool.

Chunxia Zhu, Lida Zhu, Jianrong Wang, Cong Su, Wanshan Wang

Int. J. Model. Identif. Control., 2009

Analysis of dynamic performance simulation for turn-milling centre.

Lida Zhu, Tianbiao Yu, Junming Hou, Wanshan Wang, Xingyu Jiang

Int. J. Model. Identif. Control., 2009

2008

Research and Development of Simulation System for Virtual Grinding.

Chong Su, Lida Zhu, Junming Hou, Wanshan Wang

Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

The Modeling and Simulation of Dynamic Error on Turn-Milling Centre.

Lida Zhu, Gang Li, Ertao Chen, Chong Su, Wanshan Wang

Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008

2007

Research on motion simulation for robot based on virtual reality.

Lida Zhu, Chunxia Zhu, Jianyu Yang, Tianbiao Yu, Jiashun Shi, Wanshan Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

Dynamics simulation for flexible parallel robot.

Chunxia Zhu, Lida Zhu, Yongxia Liu, Guangqi Cai

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007