Sheng-lan Liu

According to our database, Sheng-lan Liu authored at least 113 papers between 2004 and 2025.

Collaborative distances:

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

2025

Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples.

Rui Liu, Xiaoxi Ding, Shenglan Liu, Hebin Zheng, Yuanyaun Xu, Yimin Shao

Reliab. Eng. Syst. Saf., 2025

2024

Hierarchical Neighbors Embedding.

Shenglan Liu, Yang Yu, Kaiyuan Liu, Feilong Wang, Wujun Wen, Hong Qiao

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation.

Yunheng Li, Kai-Yuan Liu, Sheng-lan Liu, Lin Feng, Hong Qiao

IEEE Trans. Circuits Syst. Video Technol., January, 2024

"Where Does the Devil Lie?": Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation.

Guoguang Hua, Dalian Zheng, Shishun Tian, Wenbin Zou, Shenglan Liu, Xia Li

IEEE Trans. Multim., 2024

Multi-feature fusion stock prediction based on knowledge graph.

Zhenghao Liu, Yuxing Qian, Wenlong Lv, Yanbin Fang, Shenglan Liu

Electron. Libr., 2024

More Pictures Say More: Visual Intersection Network for Open Set Object Detection.

Bingcheng Dong, Yuning Ding, Jinrong Zhang, Sifan Zhang, Shenglan Liu

CoRR, 2024

Underwater Variable Zoom: Depth-Guided Perception Network for Underwater Image Enhancement.

Zhixiong Huang, Xinying Wang, Jinjiang Li, Shenglan Liu, Lin Feng

CoRR, 2024

Underwater image enhancement via cross-wise transformer network focusing on pre-post differences.

Zhixiong Huang, Jinjiang Li, Xinying Wang, Zhen Hua, Shenglan Liu, Lin Feng

Appl. Soft Comput., 2024

2M-AF: A Strong Multi-Modality Framework For Human Action Quality Assessment with Self-supervised Representation Learning.

Yuning Ding, Sifan Zhang, Shenglan Liu, Jinrong Zhang, Wenyue Chen, Haifei Duan, Bingcheng Dong, Tao Sun

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Network Virtualization Security: Threats, Measures, and Use Cases.

Qin Qiu, Sijia Xu, Shenglan Liu, Tianni Xu, Bei Zhao

Proceedings of the ITU Kaleidoscope 2024: Innovation and Digital Transformation for a Sustainable World, 2024

Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation.

Yule Liu, Zhuben Dong, Shenglan Liu, Wujun Wen, Lin Feng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Decoupling Spatio-Temporal Network for Fine-Grained Temporal Action Segmentation.

Haifei Duan, Shenglan Liu, Chenwei Tan, Yuning Ding, Jirui Tian, Feilong Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Skeleton-based action recognition with local dynamic spatial-temporal aggregation.

Lianyu Hu, Shenglan Liu, Wei Feng

Expert Syst. Appl., December, 2023

Identifying the potential miRNA biomarkers based on multi-view networks and reinforcement learning for diseases.

Benzhe Su, Weiwei Wang, Xiaohui Lin, Shenglan Liu, Xin Huang

Briefings Bioinform., November, 2023

Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application.

Rui Liu, Xiaoxi Ding, Shenglan Liu, Qihang Wu, Yimin Shao

IEEE Trans. Instrum. Meas., 2023

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion.

Xinying Wang, Cheng Cheng, Shenglan Liu, Ruoxi Song, Xiang-Hai Wang, Lin Feng

IEEE Trans. Geosci. Remote. Sens., 2023

Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism.

Lin Feng, Lu-Yao Liu, Sheng-lan Liu, Jian Zhou, Han-Qing Yang, Jie Yang

Multim. Tools Appl., 2023

End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning.

Wujun Wen, Jinrong Zhang, Shenglan Liu, Yunheng Li, Qifeng Li, Lin Feng

CoRR, 2023

Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating.

Shenglan Liu, Yu-Ning Ding, Si-Fan Zhang, Wenyue Chen, Ning Zhou, Hao Liu, Guihong Lao

CoRR, 2023

Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition.

Sheng-lan Liu, Yu-Ning Ding, Jinrong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Feilong Wang, Gao Huang

CoRR, 2023

Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation.

Chenwei Tan, Tao Sun, Talas Fu, Yuhan Wang, Minjie Xu, Shenglan Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Local Neighbor Propagation Embedding.

Wenduo Ma, Hengzhi Yu, Shenglan Liu, Yang Yu, Yunheng Li

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Multi-Scale Spatio-Temporal Aggregation Network for Human Motion Prediction.

Haoyu Su, Shenglan Liu, Zewen Gao, Yifeng Dong, Junshi Yang, Suhao Ding

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation.

Kaiyuan Liu, Yunheng Li, Shenglan Liu, Chenwei Tan, Zihang Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Spatial Focus Attention for Fine-Grained Skeleton-Based Action Tasks.

Kaiyuan Liu, Yunheng Li, Yuanfeng Xu, Shuai Liu, Shenglan Liu

IEEE Signal Process. Lett., 2022

Security Standards and Measures for Massive IoT in the 5G Era.

Qin Qiu, Ding Wang, Xuetao Du, Shengquan Yu, Shenglan Liu, Bei Zhao

Mob. Networks Appl., 2022

Multiview nonlinear discriminant structure learning for emotion recognition.

Shuai Guo, Li Song, Rong Xie, Lin Li, Shenglan Liu

Knowl. Based Syst., 2022

Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition.

Lianyu Hu, Shenglan Liu, Wei Feng

CoRR, 2022

DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion.

Yao Xiao, Yang Li, Qingjun Yu, Shenglan Liu, Jialin Gang

IEEE Access, 2022

Image Classification Based on a Weighted CNN Model.

Hao Peng, Jian Zhou, Shenglan Liu

Proceedings of the World Automation Congress, 2022

Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection.

Yang Liu, Wanxiao Yang, Hangyou Yu, Lin Feng, Yuqiu Kong, Shenglan Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Vision Shared and Representation Isolated Network for Person Search.

Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Double Attention Network Based on Sparse Sampling.

Zhuben Dong, Yunheng Li, Yiwei Sun, Conghui Hao, Kaiyuan Liu, Tao Sun, Shenglan Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval.

Shenglan Liu, Muxin Sun, Lin Feng, Hong Qiao, Shuyuan Chen, Yang Liu

IEEE Trans. Neural Networks Learn. Syst., 2021

Real-Time 2-D Lidar Odometry Based on ICP.

Fuxing Li, Shenglan Liu, Xuedong Zhao, Liyan Zhang

Sensors, 2021

Bottom-up broadcast neural network for music genre classification.

Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu

Multim. Tools Appl., 2021

Three Degree Binary Graph and Shortest Edge Clustering for re-ranking in multi-feature image retrieval.

Guihong Lao, Shenglan Liu, Chenwei Tan, Yang Wang, Guangzhe Li, Li Xu, Lin Feng, Feilong Wang

J. Vis. Commun. Image Represent., 2021

Efficient Two-Step Networks for Temporal Action Segmentation.

Yunheng Li, Zhuben Dong, Kaiyuan Liu, Lin Feng, Lianyu Hu, Jie Zhu, Li Xu, Yuhan Wang, Shenglan Liu

Neurocomputing, 2021

Deep graph convolution neural network with non-negative matrix factorization for community discovery.

Shuliang Xu, Shenglan Liu, Lin Feng

CoRR, 2021

Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery.

Shuliang Xu, Shenglan Liu, Lin Feng

CoRR, 2021

An online course mode based on microlecture videos: Using CAD geometric modeling course as an example.

Hao Liu, Shuhao Xu, Shenglan Liu

Comput. Appl. Eng. Educ., 2021

Skeleton-Based Action Recognition With Low-Level Features of Adaptive Graph Convolutional Networks.

Jialin Gang, Yao Xiao, Shenglan Liu, Yao Lu

IEEE Access, 2021

Weighted P-Rank: a Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network.

Jian Zhou, Shenglan Liu, Lin Feng, Jie Yang, Ning Cai

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition.

Hao Liu, Shenglan Liu, Lin Feng, Lianyu Hu, Xiang Li, Heyu Fu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Spatial-Temporal Attention Network with Multi-similarity Loss for Fine-Grained Skeleton-Based Action Recognition.

Xiang Li, Shenglan Liu, Yunheng Li, Hao Liu, Jinjing Zhao, Lin Feng, Guihong Lao, Guangzhe Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition.

Guihong Lao, Lianyu Hu, Shenglan Liu, Zhuben Dong, Wujun Wen

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset.

Shenglan Liu, Aibin Zhang, Yunheng Li, Jian Zhou, Li Xu, Zhuben Dong, Renhao Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Study on Security and Privacy in 5G-Enabled Applications.

Qin Qiu, Shenglan Liu, Sijia Xu, Shengquan Yu

Wirel. Commun. Mob. Comput., 2020

Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score.

Lin Feng, Jian Zhou, Shenglan Liu, Ning Cai, Jie Yang

Scientometrics, 2020

Correction to: Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score.

Lin Feng, Jian Zhou, Sheng-lan Liu, Ning Cai, Jie Yang

Scientometrics, 2020

Multi-feature weighting neighborhood density clustering.

Shuliang Xu, Lin Feng, Shenglan Liu, Jian Zhou, Hong Qiao

Neural Comput. Appl., 2020

Manifold graph embedding with structure information propagation for community discovery.

Shuliang Xu, Shenglan Liu, Lin Feng

Knowl. Based Syst., 2020

Cascade regression based on extreme learning machine for face alignment.

Caifeng Liu, Lin Feng, Huibing Wang, Shenglan Liu, Kaiyuan Liu

J. Electronic Imaging, 2020

Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition.

Shenglan Liu, Shuai Guo, Wei Wang, Hong Qiao, Yang Wang, Wenbo Luo

Inf. Sci., 2020

Deep attention based music genre classification.

Yang Yu, Sen Luo, Shenglan Liu, Hong Qiao, Yang Liu, Lin Feng

Neurocomputing, 2020

Fuzzy granularity neighborhood extreme clustering.

Shuliang Xu, Shenglan Liu, Lin Feng

Neurocomputing, 2020

FSD-10: A fine-grained classification dataset for figure skating.

Shenglan Liu, Xiang Liu, Gao Huang, Hong Qiao, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Ge Guo

Neurocomputing, 2020

An incrementally cascaded broad learning framework to facial landmark tracking.

Caifeng Liu, Lin Feng, Shuai Guo, Huibing Wang, Shenglan Liu, Hong Qiao

Neurocomputing, 2020

Self-adaption neighborhood density clustering method for mixed data stream with concept drift.

Shuliang Xu, Lin Feng, Shenglan Liu, Hong Qiao

Eng. Appl. Artif. Intell., 2020

Angular Embedding: A New Angular Robust Principal Component Analysis.

Shenglan Liu, Yang Yu

CoRR, 2020

Local Neighbor Propagation Embedding.

Shenglan Liu, Yang Yu

CoRR, 2020

FSD-10: A Dataset for Competitive Sports Content Analysis.

Sheng-lan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao

CoRR, 2020

HFNet: A Novel Model for Human Focused Sports Action Recognition.

Lianyu Hu, Lin Feng, Shenglan Liu

Proceedings of the MMSports '20: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, 2020

Bionic Vision Descriptor for Image Retrieval.

Guangzhe Li, Shenglan Liu, Feilong Wang, Lin Feng

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Discriminative STGCN for Skeleton Oriented Action Recognition.

Lin Feng, Qing Yuan, Yang Liu, Qianxin Huang, Shenglan Liu, Yingping Li

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network.

Lin Feng, Zhenning Lu, Shenglan Liu, Dong Jiang, Yang Liu, Lianyu Hu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Fuzzy rough clustering for categorical data.

Shuliang Xu, Shenglan Liu, Jian Zhou, Lin Feng

Int. J. Mach. Learn. Cybern., 2019

An ELM based local topology preserving hashing.

Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun

Int. J. Mach. Learn. Cybern., 2019

Multi-view laplacian least squares for human emotion recognition.

Shuai Guo, Lin Feng, Zhanbo Feng, Yi-Hao Li, Yang Wang, Sheng-lan Liu, Hong Qiao

Neurocomputing, 2019

Rough extreme learning machine: A new classification method based on uncertainty measure.

Lin Feng, Shuliang Xu, Feilong Wang, Shenglan Liu, Hong Qiao

Neurocomputing, 2019

Hierarchic Neighbors Embedding.

Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng

CoRR, 2019

Color Recognition for Rubik's Cube Robot.

Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong

CoRR, 2019

A Fast Online Cascaded Regression Algorithm for Face Alignment.

Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Color Recognition for Rubik's Cube Robot.

Lin Feng, Dong Jiang, Aibin Zhang, Shenglan Liu, Feilong Wang, Yang Liu

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Neural Method for Explicit Mapping of Weighted Locally Linear Embedding in Image Retrieval.

Shenglan Liu, Xiang Liu, Yang Wang, Qing Yuan, Huihua Guan, Kaiyuan Liu

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Neighborhood Graph Embedding for Nodes Clustering of Social Network.

Shuliang Xu, Shenglan Liu, Lin Feng

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Manifold Warp Segmentation of Human Action.

Shenglan Liu, Lin Feng, Yang Liu, Hong Qiao, Jun Wu, Wei Wang

IEEE Trans. Neural Networks Learn. Syst., 2018

Global similarity preserving hashing.

Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun

Soft Comput., 2018

Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval.

Laihang Yu, Lin Feng, Huibing Wang, Li Li, Yang Liu, Shenglan Liu

Signal Image Video Process., 2018

Perceptual uniform descriptor and ranking on manifold for image retrieval.

Shenglan Liu, Jun Wu, Lin Feng, Hong Qiao, Yang Liu, Wenbo Luo, Wei Wang

Inf. Sci., 2018

Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction.

Shenglan Liu, Jun Wu, Lin Feng, Sen Luo, Deqin Yan

Neurocomputing, 2018

Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition.

Shenglan Liu, Shuai Guo, Hong Qiao, Yang Wang, Bin Wang, Wenbo Luo, Mingming Zhang, Keye Zhang, Bixuan Du

CoRR, 2018

Perceptual Visual Interactive Learning.

Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang

CoRR, 2018

Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement.

Yang Liu, Lin Feng, Shenglan Liu, Muxin Sun

IEEE Access, 2018

Automatic Feature Learning for MOOC Forum Thread Classification.

Lin Feng, Huimin Lu, Shenglan Liu, Guochao Liu, Sen Luo

Proceedings of the 2018 International Conference on Big Data and Computing, 2018

2017

Multi-view spectral clustering via robust local subspace learning.

Lin Feng, Lei Cai, Yang Liu, Shenglan Liu

Soft Comput., 2017

Robust discriminative extreme learning machine for relevance feedback in image retrieval.

Shenglan Liu, Lin Feng, Yang Liu, Jun Wu, Muxin Sun, Wei Wang

Multidimens. Syst. Signal Process., 2017

Image retrieval framework based on texton uniform descriptor and modified manifold ranking.

Jun Wu, Lin Feng, Shenglan Liu, Muxin Sun

J. Vis. Commun. Image Represent., 2017

Music Genre Classification with Paralleling Recurrent Convolutional Neural Network.

Lin Feng, Sheng-lan Liu, Jianing Yao

CoRR, 2017

Hand Gesture Recognition with Leap Motion.

Youchen Du, Shenglan Liu, Lin Feng, Menghui Chen, Jie Wu

CoRR, 2017

Rough extreme learning machine: a new classification method based on uncertainty measure.

Shuliang Xu, Lin Feng, Feilong Wang, Shenglan Liu

CoRR, 2017

Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval.

Sheng-lan Liu, Jun Wu, Lin Feng, Feilong Wang

CoRR, 2017

Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot.

Shenglan Liu, Muxin Sun, Wei Wang, Feilong Wang

CoRR, 2017

Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks.

Shenglan Liu, Lin Feng, Jun Wu, Gang Hou, Guangjie Han

Comput. Electr. Eng., 2017

A Transferable Framework: Classification and Visualization of MOOC Discussion Threads.

Lin Feng, Guochao Liu, Sen Luo, Shenglan Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Hashing Based State Variation for Human Motion Segmentation.

Yang Liu, Lin Feng, Muxin Sun, Shenglan Liu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Extend semi-supervised ELM and a frame work.

Sheng-lan Liu, Lin Feng, Huibing Wang, Yao Xiao

Neural Comput. Appl., 2016

Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns.

Li Li, Lin Feng, Laihang Yu, Jun Wu, Sheng-lan Liu

J. Electronic Imaging, 2016

Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval.

Shenglan Liu, Jun Wu, Lin Feng, Yang Liu, Hong Qiao, Wenbo Luo, Muxin Sun, Wei Wang

CoRR, 2016

Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect.

Shenglan Liu, Muxin Sun, Lin Feng, Yang Liu, Jun Wu

CoRR, 2016

2015

Scatter Balance: An Angle-Based Supervised Dimensionality Reduction.

Sheng-lan Liu, Lin Feng, Hong Qiao

IEEE Trans. Neural Networks Learn. Syst., 2015

Global Correlation Descriptor: A novel image representation for image retrieval.

Lin Feng, Jun Wu, Sheng-lan Liu, Hongwei Zhang

J. Vis. Commun. Image Represent., 2015

Locality Structured Sparsity Preserving Embedding.

Lin Feng, Huibing Wang, Sheng-lan Liu, Hongwei Zhang

Int. J. Pattern Recognit. Artif. Intell., 2015

A novel CBIR system with WLLTSA and ULRGA.

Lin Feng, Sheng-lan Liu, Yao Xiao, Qiao Hong, Bin Wu

Neurocomputing, 2015

Probability fuzzy SVM for image retrieval.

Deshan Liu, Deqin Yan, Yonghua Tang, Shenglan Liu

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014

Robust activation function and its application: Semi-supervised kernel extreme learning method.

Sheng-lan Liu, Lin Feng, Yao Xiao, Huibing Wang

Neurocomputing, 2014

2013

Maximal Similarity Embedding.

Lin Feng, Sheng-lan Liu, Zhen-Yu Wu, Bo Jin

Neurocomputing, 2013

2010

Constructing Surface Features through Deformation.

Xiaoping Wang, Shenglan Liu, Liyan Zhang

Int. J. Image Graph., 2010

An angle optimized global embedding algorithm.

Deqin Yan, Sheng-lan Liu

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2007

Segmenting Periodic Reliefs on Triangle Meshes.

Shenglan Liu, Ralph R. Martin, Frank C. Langbein, Paul L. Rosin

Proceedings of the Mathematics of Surfaces XII, 2007

2006

Segmenting reliefs on triangle meshes.

Shenglan Liu, Ralph R. Martin, Frank C. Langbein, Paul L. Rosin

Proceedings of the ACM Symposium on Solid and Physical Modeling 2006, 2006

2004

Two-dimensional data sequence and its grey generation.

Xueliang Ping, Rurong Zhou, Shenglan Liu

Proceedings of the IEEE International Conference on Systems, 2004

Segmentation and Parametrization of Arbitrary Polygon Meshes.

Liyan Zhang, Shenglan Liu, Xi Wu, Laishui Zhou

Proceedings of the 2004 Geometric Modeling and Processing (GMP 2004), 2004