Eigenfolds: a new approach for analysis of vibrating vocal folds. - Liu Li; Nikolas P. Galatsanos; Diane Bless (ISBI, 2002)

Quantitative QoS Management Implement Mechanism in IP-DiffServ. - Jin-Yu Zhang; Liu Li; Hong-Hui Li; Liu Feng (J. Comput. Sci. Technol., 2005)

The Design of Biaxial Joint for Mobile Electronics with the Analysis on Arthrosis. - Zhao Danpu; Yi Qiang; Chenghui Nie; Chen Ken; Liu Li; Leon Xu; Antti O. Salo (BIODEVICES (1), 2008)

Research on the Optimization of Encryption and Authentication Mode of EAX about Broadband Wireless Communications Equipment. - Qingbo Zhang; Jiaming He; Liu Li (CSIE (1), 2009)

Groundwater Environment Evolution and Evaluating Indexes. - Xing Li-ting; Liu Li (ESIAT (1), 2009)

Design of Teaching System for Computer Network Application Learning. - Liu Li; Tianzhou Chen; Qingsong Shi; Wei Hu 001 (CIT, 2010)

Application of Concept Maps-based Anchored Instruction in Programming Course. - Liu Li; Haijun Mao; Licheng Xu (CIT, 2010)

The Discussion on Virtual B2C Collaboration of Online Shopping. - Gao Hong; Liu Li (ICEE, 2010)

Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations. - Bing Zhao; Young-Suk Lee 001; Xiaoqiang Luo; Liu Li (ACL, 2011)

Generalized Local Binary Patterns for Texture Classification. - Liu Li; Paul W. Fieguth; Gangyao Kuang (BMVC, 2011)

Data-Driven Approach Based on Semantic Roles for Recognizing Temporal Expressions and Events in Chinese. - Hector Llorens; Estela Saquete; Borja Navarro; Liu Li; Zhongshi He (NLDB, 2011)

Distributed optimization for global data association in non-overlapping camera networks. - Jiuqing Wan; Liu Li (ICDSC, 2013)

Classification of atorvastatin effect based on shape and texture features in ultrasound images. - Xin Yang; Rui Wang; Liu Li; Aaron Fenster; Mingyue Ding (Image Processing, 2013)

GPU-Based Block-Wise Nonlocal Means Denoising for 3D Ultrasound Images. - Liu Li; Wenguang Hou; Xuming Zhang; Mingyue Ding (Comput. Math. Methods Medicine, 2013)

Vibrotactile TV for immersive experience. - Shafiq ur Réhman 002; Muhammad Sikandar Lal Khan; Liu Li; Haibo Li 001 (APSIPA, 2014)

Optimal Transmit Design at Relay Nodes for Secure AF Relay Networks. - Lingxiang Li; Liu Li; Zhi Chen 002; Jun Fang 001 (VTC Spring, 2015)

Selection of the exciting current frequency in electromagnetic tomography. - Liu Li; Zhanjun Wang (ICSAI, 2016)

Cost-Effective Provisioning of Spot Instances in Clouds. - He Miao; Liu Li (ISCID (2), 2016)

Footstep Planning for Rapid Path Following in Humanoid Robots. - Zhang Jiwen; Liu Li; Ken Chen (Int. J. Humanoid Robotics, 2016)

Distributed data association in smart camera network via dual decomposition. - Jiuqing Wan; Chen Xu; Bu Shaocong; Liu Li (Inf. Fusion, 2018)

Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model. - Liu Li; Mai Xu; Xiaofei Wang 004; Lai Jiang; Hanruo Liu (CVPR, 2019)

Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis. - Xiaofei Wang 004; Mai Xu; Liu Li; Zulin Wang; Zhenyu Guan (MICCAI (1), 2019)

Two-stream Adaptive Convolutional Neural Network for Crowd Counting. - Yang Mo; SongLing Fu; Qijun Zhang; Dan Li; Liu Li; Chuanfu Xu (CSAI, 2020)

The Effect of The Number of Sensor Coils on Sensitivity in Electromagnetic Tomography. - Siqi Xu; Qian Zhao; Liu Li; Nan Li; Wenjun Tan (ISICDM, 2020)

DeepGF: Glaucoma Forecast Using the Sequential Fundus Images. - Liu Li; Xiaofei Wang 004; Mai Xu; Hanruo Liu; Ximeng Chen (MICCAI (5), 2020)

A Pilot Study on Mandarin Chinese Cued Speech. - Liu Li; Feng Gang (CoRR, 2020)

CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models. - Quan Quan; Qiyuan Wang 001; Liu Li; Yuanqi Du; S. Kevin Zhou (CoRR, 2020)

A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection. - Liu Li; Mai Xu; Hanruo Liu; Yang Li 010; Xiaofei Wang 004; Lai Jiang; Zulin Wang; Xiang Fan; Ningli Wang (IEEE Trans. Medical Imaging, 2020)

Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images. - Xiaofei Wang 004; Mai Xu; Jicong Zhang; Lai Jiang; Liu Li (AAAI, 2021)

Data Mining-Based and Network Pharmacology-Based Analysis of Medication Rules and Action Mechanism of Professor Zhou Zhongying in Lung Cancer Treatment. - Song Wang; Yue Li; Kongfa Hu; Fang Ye; Liu Li (BIBM, 2021)

Teaching Quality Evaluation Method of Human Resource Management Based on Big Data. - Liu Li; Caiming Zhang 002 (eLEOT (2), 2021)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (UNSURE/PIPPI@MICCAI, 2021)

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Yongli Xu; Man Hu 003; Hanruo Liu; Hao Yang 008; Huaizhou Wang; Shuai Lu 003; Tianwei Liang; Xiaoxing Li; Mai Xu; Liu Li; Huiqi Li; Xin Ji; et al. (npj Digit. Medicine, 2021)

Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis. - Xiaofei Wang 004; Lai Jiang; Liu Li; Mai Xu; Xin Deng 002; Lisong Dai; Xiangyang Xu; Tianyi Li 004; Yichen Guo; Zulin Wang; Pier Luigi Dragotti (IEEE Trans. Medical Imaging, 2021)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Recovering medical images from CT film photos. - Quan Quan; Qiyuan Wang 001; Yuanqi Du; Liu Li; S. Kevin Zhou (CoRR, 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

Development of prospect theory in decision making with different types of fuzzy sets: A state-of-the-art literature review. - Xiaoli Tian; Jiangshui Ma; Liu Li; Zeshui Xu; Ming Tang 003 (Inf. Sci., 2022)

Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images. - Xiaofei Wang 004; Mai Xu; Jicong Zhang; Lai Jiang; Liu Li; Mengxian He; Ningli Wang; Hanruo Liu; Zulin Wang (IEEE J. Biomed. Health Informatics, 2022)

Research on the Funding Effectiveness of National Major Scientific Research Instrument Development Projects Based on Literature Big Data Analysis. - Yitong Liu; Xueshen Shang; Xiaomeng Li; Caijun Yang; Lili Wang; Yu Zhang 180; Feng Pan; Liu Li (ACAI, 2023)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. - Qiang Ma 004; Liu Li; Vanessa Kyriakopoulou; Joseph V. Hajnal; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (4), 2023)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)

Research on the Training Model and Evaluation System of Interdisciplinary Professional Master Degree Education Based on Fuzzy Comprehensive Evaluation Method. - Shilong Jia; Liu Li; Jiaxin Xiao; Zhao Lei (ICEIT, 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 2024)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (11), 2024)

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. - Weitong Zhang; Chengqi Zang; Liu Li; Sarah Cechnicka; Cheng Ouyang; Bernhard Kainz (NeurIPS, 2024)

Metasurface-generated large and arbitrary analog convolution kernels for accelerated machine vision. - Ruiqi Liang; Shuai Wang; Yiying Dong; Liu Li; Ying Kuang; Bohan Zhang; Yuanmu Yang (CoRR, 2024)

In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning. - Yifei Duan; Liu Li; Zirui Zhai; Jinxia Yao (CoRR, 2024)

Research on system parameter optimisation in electromagnetic tomography technology. - Liu Li; Yue Luo; Yao Huang; Lijuan Wu (Int. J. Wirel. Mob. Comput., 2025)

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. - Qiang Ma 004; Kaili Liang; Liu Li; Saga Masui; Yourong Guo; Chiara Nosarti; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)