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2020 – today
- 2024
[j15]Lingyun Huang
, Min Liang, Yuhan Xiong, Xiaomeng Wu, Cher Ping Lim:
A systematic review of technology-enabled teacher professional development during COVID -19 pandemic. Comput. Educ. 223: 105168 (2024)- [j14]Lingyun Huang, Juan Zheng, Susanne P. Lajoie, Yuxin Chen, Cindy E. Hmelo-Silver, Minhong Wang:
Examining university teachers' self-regulation in using a learning analytics dashboard for online collaboration. Educ. Inf. Technol. 29(7): 8523-8547 (2024) - [j13]Yiming Liu, Lingyun Huang, Tenzin Doleck:
How teachers' self-regulation, emotions, perceptions, and experiences predict their capacities for learning analytics dashboard: A Bayesian approach. Educ. Inf. Technol. 29(9): 10437-10472 (2024) - [j12]Mingyu Wang, Chao Chen, Ziyue Xu, Lang Xu, Weiwei Zhan, Jing Xiao, Yiqing Hou, Bingsheng Huang, Lingyun Huang, Shuo Li:
An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. Medical Image Anal. 97: 103255 (2024) - [i19]Lingyun Huang, Jianxu Mao, Yaonan Wang, Junfei Yi, Ziming Tao:
CVPT: Cross-Attention help Visual Prompt Tuning adapt visual task. CoRR abs/2408.14961 (2024) - 2023
- [j11]Susanne P. Lajoie, Eric G. Poitras, Tenzin Doleck, Lingyun Huang:
Time in various phases of self-regulation and problem-solving performance in an Intelligent Tutoring System. Educ. Inf. Technol. 28(5): 5605-5620 (2023) - [j10]Lingyun Huang, Tenzin Doleck, Boyin Chen, Xiaoshan Huang, Chengyi Tan, Susanne P. Lajoie, Minhong Wang:
Multimodal learning analytics for assessing teachers' self-regulated learning in planning technology-integrated lessons in a computer-based environment. Educ. Inf. Technol. 28(12): 15823-15843 (2023) - [j9]Eric G. Poitras, Tenzin Doleck, Lingyun Huang, Laurel Dias, Susanne P. Lajoie:
Time-driven modeling of student self-regulated learning in network-based tutors. Interact. Learn. Environ. 31(4): 2490-2511 (2023) - [c22]Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang:
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. AAAI 2023: 11192-11200 - [i18]Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian:
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. CoRR abs/2301.01448 (2023) - [i17]Daoan Zhang, Mingkai Chen, Chenming Li, Lingyun Huang, Jianguo Zhang:
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization. CoRR abs/2302.02350 (2023) - 2022
- [c21]Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers:
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI 2022: 121-129 - [i16]Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang:
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. CoRR abs/2211.14513 (2022) - 2021
- [j8]Lingyun Huang, Shan Li, Eric G. Poitras, Susanne P. Lajoie:
Latent profiles of self-regulated learning and their impacts on teachers' technology integration. Br. J. Educ. Technol. 52(2): 695-713 (2021) - [j7]Juan Zheng, Lingyun Huang, Shan Li, Susanne P. Lajoie, Yuxin Chen, Cindy E. Hmelo-Silver:
Self-regulation and emotion matter: A case study of instructor interactions with a learning analytics dashboard. Comput. Educ. 161: 104061 (2021) - [j6]Lingyun Huang, Susanne P. Lajoie:
Process analysis of teachers' self-regulated learning patterns in technological pedagogical content knowledge development. Comput. Educ. 166: 104169 (2021) - [j5]Lingyun Huang, Laurel Dias, Elizabeth Nelson, Lauren Liang, Susanne P. Lajoie, Eric G. Poitras:
The Role of Self-Improving Tutoring Systems in Fostering Pre-Service Teacher Self-Regulated Learning. Frontiers Artif. Intell. 4 (2021) - [j4]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Yuxing Tang, Xiaohui Lin, Rushan Ouyang, Mingxiang Wu, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Peng Chang, Jie Ma:
MommiNet-v2: Mammographic multi-view mass identification networks. Medical Image Anal. 73: 102204 (2021) - [j3]Jie Xing, Chao Chen, Qinyang Lu, Xun Cai, Aijun Yu, Yi Xu, Xiaoling Xia, Yue Sun, Jing Xiao, Lingyun Huang:
Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images. IEEE J. Biomed. Health Informatics 25(6): 2058-2070 (2021) - [j2]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Trans. Medical Imaging 40(10): 2759-2770 (2021) - [c20]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CVPR 2021: 13743-13752 - [c19]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) 2021: 3-12 - [c18]Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) 2021: 33-42 - [c17]Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. PRIME@MICCAI 2021: 47-58 - [c16]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c15]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 2021: 145-153 - [c14]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - [c13]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. MICCAI (5) 2021: 270-280 - [c12]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. MLMI@MICCAI 2021: 296-305 - [c11]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. MICCAI (2) 2021: 341-351 - [c10]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. MICCAI (2) 2021: 515-525 - [c9]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [i15]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i14]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data. CoRR abs/2103.12972 (2021) - [i13]Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images. CoRR abs/2103.13482 (2021) - [i12]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR abs/2104.14629 (2021) - [i11]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. CoRR abs/2105.01218 (2021) - [i10]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection. CoRR abs/2105.01828 (2021) - [i9]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. CoRR abs/2109.09271 (2021) - [i8]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i7]Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho:
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. CoRR abs/2110.05280 (2021) - [i6]Peng Wang, Yuhsuan Wu, Bolin Lai, Xiaoyun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu:
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. CoRR abs/2110.08817 (2021) - [i5]Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho:
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. CoRR abs/2111.01544 (2021) - 2020
- [c8]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Peng Chang, Shibin Wu, Lingyun Huang, Wei Xu, Mei Han, Jing Xiao, Mingxiang Wu, Jie Ma:
MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System. HealthCom 2020: 1-7 - [c7]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang:
MommiNet: Mammographic Multi-view Mass Identification Networks. MICCAI (6) 2020: 200-210 - [i4]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. CoRR abs/2009.02577 (2020) - [i3]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CoRR abs/2012.04701 (2020) - [i2]Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. CoRR abs/2012.06964 (2020) - [i1]Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. CoRR abs/2012.15359 (2020)
2010 – 2019
- 2019
- [j1]Eric G. Poitras, Zachary Mayne, Lingyun Huang, Laurel Udy, Susanne P. Lajoie:
Scaffolding student teachers' information-seeking behaviours with a network-based tutoring system. J. Comput. Assist. Learn. 35(6): 731-746 (2019) - [c6]Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma:
Deep Learning Based Mass Detection in Mammograms. GlobalSIP 2019: 1-5 - [c5]Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma:
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. ICCV Workshops 2019: 362-370 - [c4]Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma:
Deep Learning Based Lesion Detection For Mammograms. ICHI 2019: 1-3 - [c3]Chun-xi Yang, Jie Zhu, Jing Zhang, Lingyun Huang:
A Resource-aware Distributed Kalman Filter with Stochastic Communication Based on Site-percolation Model. ISIE 2019: 1213-1218 - 2015
- [c2]ShouGuang Wang, Carla Seatzu, Lingyun Huang:
A three-stage deadlock prevention strategy for S3PR nets. CASE 2015: 286-291 - 2011
- [c1]Colin B. Compas, Ben A. Lin, Smita Sampath, Lingyun Huang, Qifeng Wei, Albert J. Sinusas, James S. Duncan:
Comparing Shape Tracking, Speckle Tracking, and a Combined Method for Deformation Analysis in Echocardiography. HISB 2011: 120-125
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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