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ORCIDYuan Jin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[c31]Tianyi Han, Jingya Li, Zhipeng Guo, Yuan Jin:
Scalable Acceleration for Classification-Based Derivative-Free Optimization. AAAI 2025: 17050-17058- 2024
- [j31]Yi Wu, Sian Chen, Yuan Jin, Huiming Xu, Xin Zhou
, Xiao Wang, Adrian Chong, Jin Li, Da Yan:
Novel occupancy detection method based on convolutional neural network model using PIR sensor and smart meter data. Adv. Eng. Informatics 62: 102589 (2024) - [j30]Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin:
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. Knowl. Based Syst. 284: 111300 (2024) - [j29]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95: 103199 (2024) - [j28]Haojie Li, Yuan Jin, Gang Ren:
Interpretable Prediction of Pedestrian Crossing Intention: Fusion of Human Skeletal Information in Natural Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(11): 18153-18170 (2024) - [c30]Yuwei Dai, Yingwei Zhang, Yiqiang Chen, Yang Gu, Yuan Jin, Wei Zhang:
Utilizing Attention-based Ensemble Mechanism to Identify Discriminative Feature Combinations for Sleep Staging. BIBM 2024: 1469-1474 - [c29]Weining Weng, Yang Gu, Shuai Guo, Yuan Ma, Yuchen Liu, Yuan Jin, Fulong Xiao, Yiqiang Chen:
Wafformer: Wave-Frequency Cross-Prediction and Alignment for Knowledge-Enhanced Sleep Representation. BIBM 2024: 2673-2679 - [c28]Gege Ma, Yuan Jin, Tianling Lyu, Geng Chen, Zhuoxuan Wu, Jiaqi Zhao, Wentao Zhu:
MM-DCNet: A Multi-Scale and Multi-MOdality Dynamic Convolutional Network for Lung Cancer Subtypes Classification. ISBI 2024: 1-5 - [i23]Yuan Jin, Gege Ma, Geng Chen, Tianling Lyu, Jan Egger, Junhui Lyu, Shaoting Zhang, Wentao Zhu:
CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images. CoRR abs/2407.13092 (2024) - 2023
- [j27]Yunxiang Zhao, Mingda Hu, Yuan Jin, Fei Chen, Xin Wang, Boqian Wang, Junjie Yue, Hongguang Ren:
Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning. Int. J. Appl. Earth Obs. Geoinformation 125: 103559 (2023) - [j26]Yuan Jin, Ainong Li, Jinhu Bian, Xi Nan, Guangbin Lei:
Modeling the Impact of Investment and National Planning Policies on Future Land Use Development: A Case Study for Myanmar. ISPRS Int. J. Geo Inf. 12(1): 22 (2023) - [j25]Landu Jiang, Cheng Luo, Zexiong Liao, Xuan Li, Qiuxia Chen, Yuan Jin, Kezhong Lu, Dian Zhang:
SmartRolling: A human-machine interface for wheelchair control using EEG and smart sensing techniques. Inf. Process. Manag. 60(3): 103262 (2023) - [j24]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. 85: 102757 (2023) - [j23]Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - [c27]Yuan Jin, Hong Xu, Xujuan Su:
Digital Transformation, Dynamic Capabilities and Enterprise Innovation Performance Based on Dynamic Capability Theory and Upper Echelon Theory. DMI 2023: 276-288 - [c26]Gege Ma, Yuan Jin, Jianhu Pan, Shaoting Zhang, Dimitris N. Metaxas, Wentao Zhu:
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. EMBC 2023: 1-6 - [c25]Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger:
Multicenter aortic vessel tree extraction using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [i22]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR abs/2308.04663 (2023) - [i21]Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - [i20]Tianyi Han, Jingya Li, Zhipeng Guo, Yuan Jin:
A Region-Shrinking-Based Acceleration for Classification-Based Derivative-Free Optimization. CoRR abs/2309.11036 (2023) - 2022
- [j22]Xinmin Ma, Zhenyu Chen, Pan Chen, Yuan Jin, Yue Wang, Liyun Yang, Zhaoran Zhang:
Intelligent Quality Evaluation System for Vertical Shaft Blasting and its Application. IEEE Access 10: 61175-61191 (2022) - [j21]Xinyao Xie, Jie Tian, Changlin Wu, Ainong Li, Huaan Jin, Jinhu Bian, Zhengjian Zhang, Xi Nan, Yuan Jin:
Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale. Int. J. Appl. Earth Obs. Geoinformation 108: 102755 (2022) - [j20]Yuan Jin, Yang Yang:
ProtPlat: an efficient pre-training platform for protein classification based on FastText. BMC Bioinform. 23(1): 66 (2022) - [j19]Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng:
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. Biomed. Signal Process. Control. 77: 103824 (2022) - [j18]Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova:
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Inf. Syst. 103: 101871 (2022) - [j17]Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe:
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. J. Digit. Imaging 35(2): 340-355 (2022) - [c24]Hansol Lee, Yuan Jin, Jaeki Song:
What makes users reliant on the virtual assistant? The side effect of attachment. AMCIS 2022 - [c23]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. EMNLP 2022: 4937-4948 - [c22]Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua:
Enhancement of aortic dissections in CT angiography: are common filters robust enough? Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [i19]Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng:
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. CoRR abs/2204.13838 (2022) - [i18]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR abs/2209.03245 (2022) - [i17]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. CoRR abs/2211.03616 (2022) - [i16]Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin:
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing. CoRR abs/2212.12139 (2022) - 2021
- [j16]Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang:
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. Data Min. Knowl. Discov. 35(2): 505-532 (2021) - [j15]Muhammad Kamran, Jinhu Bian, Ainong Li, Guangbin Lei, Xi Nan, Yuan Jin:
Investigating Eco-Environmental Vulnerability for China-Pakistan Economic Corridor Key Sector Punjab Using Multi-Sources Geo-Information. ISPRS Int. J. Geo Inf. 10(9): 625 (2021) - [j14]Yuan Jin, Ho Cheung Brian Lee, Sulin Ba, Jan Stallaert:
Winning by Learning? Effect of Knowledge Sharing in Crowdsourcing Contests. Inf. Syst. Res. 32(3): 836-859 (2021) - [j13]Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern:
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. 7: e773 (2021) - [j12]Zhimiao Yu, Jiarui Lu, Yuan Jin, Yang Yang:
KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1305-1314 (2021) - [j11]Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c21]Weicong Tan, Yuan Jin, Ming Liu, He Zhang:
BiDKT: Deep Knowledge Tracing with BERT. ADHOCNETS/TRIDENTCOM 2021: 260-278 - [c20]Nakul R. Padalkar, Yuan Jin:
Microgrid Cooperatives in Emerging Countries - Impact of Decentralization in Rural India. AMCIS 2021 - [c19]Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng:
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. BIBM 2021: 1032-1036 - [c18]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) 2021: 1042-1052 - [c17]Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine:
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. EMNLP (Findings) 2021: 3334-3340 - [c16]Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. EMNLP (Findings) 2021: 4091-4098 - [c15]He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI 2021: 4713-4720 - [c14]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger:
Deep learning and particle filter-based aortic dissection vessel tree segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c13]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. AutoImplant@MICCAI 2021: 45-62 - [i15]He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR abs/2103.00498 (2021) - [i14]Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang:
Federated Learning Meets Natural Language Processing: A Survey. CoRR abs/2107.12603 (2021) - [i13]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger:
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR abs/2108.02998 (2021) - [i12]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR abs/2108.05269 (2021) - [i11]Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. CoRR abs/2110.01280 (2021) - [i10]Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine:
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. CoRR abs/2110.07160 (2021) - [i9]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. CoRR abs/2110.07161 (2021) - 2020
- [j10]Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A technical survey on statistical modelling and design methods for crowdsourcing quality control. Artif. Intell. 287: 103351 (2020) - [j9]Yuan Jin, Si-Zhao Joe Qin, Qiang Huang:
Modeling inter-layer interactions for out-of-plane shape deviation reduction in additive manufacturing. IISE Trans. 52(7): 721-731 (2020) - [c12]Yuan Jin, Jianning Li, Jan Egger:
High-Resolution Cranial Implant Prediction via Patch-Wise Training. AutoImplant@MICCAI 2020: 94-103 - [c11]Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari:
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. SIGIR 2020: 1949-1952 - [i8]Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao:
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering. CoRR abs/2002.09145 (2020) - [i7]Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin:
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR abs/2006.10517 (2020) - [i6]Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari:
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. CoRR abs/2007.08954 (2020) - [i5]Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb:
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR abs/2011.06428 (2020)
2010 – 2019
- 2019
- [b1]Yuan Jin:
Modelling Techniques and Inference Procedures for Improving Quality Control in Crowdsourcing Applications. Monash University, Australia, 2019 - [c10]Xin Wang, Lan Yang, Yan Zhu, Huayi Zhan, Yuan Jin:
Querying Knowledge Graphs with Natural Languages. DEXA (2) 2019: 30-46 - [i4]Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu:
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data. CoRR abs/1910.05570 (2019) - 2018
- [j8]Jiahong Wu, Yuan Jin, Jianguo Yao:
EC3: Cutting Cooling Energy Consumption Through Weather-Aware Geo-Scheduling Across Multiple Datacenters. IEEE Access 6: 2028-2038 (2018) - [j7]Mohamed Toufik Ailane, Jianguo Yao, Yuan Jin:
Chorus-Line Algorithm for Clock Synchronization. IEEE Access 6: 8412-8425 (2018) - [j6]Xiaohui Zhao, Hanyang Ma, Yuan Jin, Jianguo Yao:
Measuring Instability of Mobility Management in Cellular Networks. IEEE Netw. 32(5): 138-144 (2018) - [j5]Yu Zhang, Yuan Jin, Jianguo Yao, Guchuan Zhu, Bin Wen:
Power Peak Shaving With Data Transmission Delays for Thermal Management in Smart Buildings. IEEE Trans. Ind. Informatics 14(4): 1532-1541 (2018) - [c9]Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML 2018: 192-207 - [c8]Yuan Jin, Lan Du, Ye Zhu, Mark J. Carman:
Leveraging Label Category Relationships in Multi-class Crowdsourcing. PAKDD (2) 2018: 128-140 - [i3]Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR abs/1802.04009 (2018) - [i2]Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova:
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. CoRR abs/1810.03393 (2018) - [i1]Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control. CoRR abs/1812.02736 (2018) - 2017
- [j4]Yuan Jin, Yong He, Jianke Du:
A novel path planning methodology for extrusion-based additive manufacturing of thin-walled parts. Int. J. Comput. Integr. Manuf. 30(12): 1301-1315 (2017) - [c7]Yuan Jin:
Online Community Participation and Crowdsourcing Performance. AMCIS 2017 - [c6]Yuan Jin, Mark James Carman, Dongwoo Kim, Lexing Xie:
Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. HCOMP 2017: 79-88 - 2016
- [j3]Paula A. Vasquez, Yuan Jin, Erik Palmer, David Hill, M. Gregory Forest:
Modeling and Simulation of Mucus Flow in Human Bronchial Epithelial Cell Cultures - Part I: Idealized Axisymmetric Swirling Flow. PLoS Comput. Biol. 12(8) (2016) - [c5]Yuan Jin, Si-Zhao Joe Qin, Qiang Huang:
Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing. CASE 2016: 786-791 - [c4]Yuan Jin, Mark James Carman, Lexing Xie:
A Little Competition Never Hurt Anyone's Relevance Assessments. GamifIR@SIGIR 2016: 29-36 - 2015
- [c3]Yuan Jin, Grace Rumantir:
A Two Tiered Finite Mixture Modelling Framework to Cluster Customers on EFTPOS Network. Australasian Conference on Artificial Intelligence 2015: 276-284 - [c2]Yuan Jin, Si-Zhao Joe Qin, Qiang Huang:
Out-of-plane geometric error prediction for additive manufacturing. CASE 2015: 918-923 - 2014
- [j2]Yuan Jin, Yong He, Jianzhong Fu, Zhi-Wei Lin, Wenfeng Gan:
A fine-interpolation-based parametric interpolation method with a novel real-time look-ahead algorithm. Comput. Aided Des. 55: 37-48 (2014)
2000 – 2009
- 2008
- [c1]Lilan Liu, Haiyang Sun, Tao Yu, Yuan Jin:
Research on SLA negotiation in Manufacturing Grid. CSCWD 2008: 862-868 - 2004
- [j1]Yuan Jin, Hanif M. Ladak:
Software for interactive segmentation of the carotid artery from 3D black blood magnetic resonance images. Comput. Methods Programs Biomed. 75(1): 31-43 (2004)
Coauthor Index
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