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2020 – today
- 2024
[j9]Xiaosong Li
, Yanxia Wu, Chuheng Tang, Yan Fu, Lidan Zhang:
Explicitly learning augmentation invariance for image classification by Consistent Augmentation. Eng. Appl. Artif. Intell. 130: 107541 (2024)- [c11]Lidan Zhang, Bengisu Tulu:
Unraveling User Engagement with Technology: An Umbrella Review. AMCIS 2024 - [c10]Saud Aljohani, Seham Bukhari, Lidan Zhang:
Comprehensive Perspective in Dental Diagnosis: A Machine Learning Framework for Unbiased Detection of Dental abscess. SIGMIS-CPR 2024: 26:1 - 2023
- [j8]Xiaosong Li, Yanxia Wu, Yan Fu, Lidan Zhang, Ruize Hong:
A lightweight bus passenger detection model based on YOLOv5. IET Image Process. 17(14): 3927-3937 (2023) - [j7]Xiaosong Li, Yanxia Wu, Chuheng Tang, Yan Fu, Lidan Zhang:
Improving generalization of convolutional neural network through contrastive augmentation. Knowl. Based Syst. 272: 110543 (2023) - [c9]Doaa Alrefaei, Lidan Zhang, Gaayathri Sankar, Soussan Djamasbi, Bengisu Tulu, Carlie Flanagan, Adam Kalayjian, Connie Ge, Camarlin Franco, Shazeb Meraj, Susanne Muehlschlegel:
Using Eye Tracking to Measure User Engagement with a Decision Aid. HCI (9) 2023: 57-70 - [c8]Lidan Zhang, Bengisu Tulu, Soussan Djamasbi, Gaayathri Sankar, Susanne Muehlschlegel:
Investigating User Satisfaction: An Adaptation of IS Success Model for Short-term Use. HICSS 2023: 2860-2869 - 2022
- [j6]Xiaosong Li, Yanxia Wu, Yan Fu, Chuheng Tang, Lidan Zhang:
Neighbour feature attention-based pooling. Neurocomputing 501: 285-293 (2022) - [c7]Lidan Zhang, Bengisu Tulu, Soussan Djamasbi:
Investigating User Satisfaction: An Adaptation of IS Success Model for Short-term Use. AMCIS 2022 - [c6]Lidan Zhang, Bengisu Tulu, Steven Jenkins, Nick Richardson, Steve Shoptaw, Faye S. Taxman:
Design and Evaluation of the Probation/Parole and Reentry Coach App (PARCA): A Platform to Support a Successful Reentry into Community. HICSS 2022: 1-10 - [c5]Lidan Zhang, Fei Li, Xinxin Zhang, Xiangbin Wu:
RTAS: Road Test with Artificial Scenarios. ITSC 2022: 1012-1017 - 2021
- [j5]Fang Liu, Kaimin Zheng, Liu Wang, Chuan Xu, Lidan Zhang, Tianxin Wang, YuChang Liu, Xiang Li, Lijian Zhang, Yong Zhang, Min Xiao:
Approaching quantum-limited phase tracking with a large photon flux in a fiber Mach-Zehnder interferometer. Quantum Inf. Process. 20(4): 164 (2021) - [j4]Ye Yuan, Yanxia Wu, Yan Fu, Yulei Wu, Lidan Zhang, Yan Jiang:
An Advanced SAR Image Despeckling Method by Bernoulli-Sampling-Based Self-Supervised Deep Learning. Remote. Sens. 13(18): 3636 (2021) - 2020
- [j3]Xiadong Li, Enle Chen, Bina Guo, Wan Yang, Ruozhen Han, Chengcheng Hu, Lidan Zhang, Chuandi Pan, Shenglin Ma, Yu Kuang:
The impact of respiratory motion and CT pitch on the robustness of radiomics feature extraction in 4DCT lung imaging. Comput. Methods Programs Biomed. 197: 105719 (2020)
2010 – 2019
- 2019
- [c4]Ping Guo, Lidan Zhang, Lu Cao, Yingzhe Shen, Xuesong Shi, Haibing Ren, Yimin Zhang:
Customized Object Recognition and Segmentation by One Shot Learning with Human Robot Interaction. ICRA 2019: 4356-4361 - [i2]Lidan Zhang, Qi She, Ping Guo:
Stochastic trajectory prediction with social graph network. CoRR abs/1907.10233 (2019) - [i1]Lei Zhu, Qi She, Lidan Zhang, Ping Guo:
A Spectral Nonlocal Block for Neural Networks. CoRR abs/1911.01059 (2019) - 2018
- [j2]Xiadong Li, Ziheng Deng, Qinghua Deng, Lidan Zhang, Tianye Niu, Yu Kuang:
A Novel Deep Learning Framework for Internal Gross Target Volume Definition From 4D Computed Tomography of Lung Cancer Patients. IEEE Access 6: 37775-37783 (2018) - 2013
- [c3]Zhihua Liu, Lidan Zhang, Haibing Ren, Ji-yeun Kim:
A robust region-based active contour model with point classification for ultrasound breast lesion segmentation. Medical Imaging: Computer-Aided Diagnosis 2013: 86701P - 2012
- [j1]Lidan Zhang, Kwok-Ping Chan:
Adaptive Bayesian HMM for Fully Unsupervised Chinese Part-of-Speech Induction. ACM Trans. Asian Lang. Inf. Process. 11(3): 9:1-9:22 (2012) - 2011
- [b1]Lidan Zhang:
Exploiting linguistic knowledge for statistical natural language processing. University of Hong Kong, 2011 - 2010
- [c2]Lidan Zhang, Kwok-Ping Chan, Chunyu Kit, Dongfeng Cai:
Bigram HMM with Context Distribution Clustering for Unsupervised Chinese Part-of-Speech tagging. CIPS-SIGHAN 2010
2000 – 2009
- 2009
- [c1]Lidan Zhang, Kwok Ping Chan:
Dependency Parsing with Energy-based Reinforcement Learning. IWPT 2009: 234-237
Coauthor Index
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