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ORCIDYing Xiao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Ying Xiao 0001 — VT iDirect Inc., Herndon, VA, USA (and 1 more)
- Ying Xiao 0002 — Zhejiang University, Computer Academy, Hangzhou, China
- Ying Xiao 0003 — Palantir Technologies (and 1 more)
- Ying Xiao 0004 — Dalian National University, College of Information and Communication Engineering, Liaoning, China
- Ying Xiao 0005 (aka: Xiao Ying 0005) — Wuxi Institute of Technology, School of Internet of Things Technology, Jiangsu, China
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2020 – today
- 2024
[j30]Haitao Xiong, Ying Xiao, Haiping Zhao, Kui Xuan, Yao Zhao, Juan Li
:
AD-YOLOv5: An object detection approach for key parts of sika deer based on deep learning. Comput. Electron. Agric. 217: 108610 (2024)- [j29]Ying Xiao, Hou-Biao Li, Yu-pu Zhang:
DBGSA: A novel data adaptive bregman clustering algorithm. Eng. Appl. Artif. Intell. 131: 107846 (2024) - [j28]Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela R. Jackson, Ying Xiao, Tanveer F. Syeda-Mahmood, Richard Tuli, Jun Deng:
Digital twins for health: a scoping review. npj Digit. Medicine 7(1) (2024) - [j27]Ying Xiao, Jie M. Zhang, Yepang Liu, Mohammad Reza Mousavi, Sicen Liu, Dingyuan Xue:
MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions. Proc. ACM Softw. Eng. 1(FSE): 2121-2143 (2024) - [j26]Rui Liu, Ying Xiao, Yini Peng, Xin Tian:
DDFSRM: Denoising Diffusion Fusion Model for Line-Scanning Super-Resolution. IEEE Trans. Computational Imaging 10: 1357-1367 (2024) - [c25]Jian Chen, Mingcong Chen, Qingxiang Zhao, Shuai Wang, Yihe Wang, Ying Xiao, Jian Hu, Danny Tat Ming Chan, Kam Tong Leo Yeung, David Yuen Chung Chan, Hongbin Liu:
Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy. ICRA 2024: 5906-5912 - [i15]Jian Chen, Mingcong Chen, Qingxiang Zhao, Shuai Wang, Yihe Wang, Ying Xiao, Jian Hu, Danny Tat Ming Chan, Kam Tong Leo Yeung, David Yuen Chung Chan, Hongbin Liu:
Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy. CoRR abs/2402.09679 (2024) - 2023
- [j25]Ying Xiao, Weiting Chen, Jiangtao Wang:
Self-supervised monocular depth estimation based on pseudo-pose guidance and grid regularization. Appl. Intell. 53(9): 10149-10161 (2023) - [j24]Zheng Wang, Ying Xiao, Li Peng, Zhuolin Zhang, Xiaojun Li, Yang Xue, Jie Zhang, Jianglin Zhang:
Artificial intelligence-based detection and assessment of ascites on CT scans. Expert Syst. Appl. 224: 119979 (2023) - [j23]Song Cui, Lijuan Duan, Yuanhua Qiao, Ying Xiao:
Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features. J. Ambient Intell. Humaniz. Comput. 14(11): 15557-15572 (2023) - [j22]Nan Chen, Ying Xiao, Zhijun Liu:
Coriolis mass flowmeter signal processing system based on time-varying signal model. J. Comput. Methods Sci. Eng. 23(2): 837-853 (2023) - [j21]Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv, Jian Yang:
Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines. BMC Medical Informatics Decis. Mak. 23(1): 247 (2023) - [j20]Junhao Liang, Weisheng Zhang, Jianghui Yang, Meilong Wu, Qionghai Dai, Hongfang Yin, Ying Xiao, Lingjie Kong:
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer. Nat. Mac. Intell. 5(4): 408-420 (2023) - [c24]Ying Xiao, Yunhong Xiao, Dunfeng Zhou:
Construction of Cloud Platform Volunteer Service System Based on Internet. BDMIP 2023: 205-209 - [c23]Ruizhe Zhang, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks. BIBM 2023: 984-987 - [c22]Hao Guan, Ying Xiao, Jiaying Li, Yepang Liu, Guangdong Bai:
A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization. ICSE 2023: 147-158 - [c21]Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao:
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. PAKDD (3) 2023: 374-386 - [i14]David A. Clunie, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao, Keyvan Farahani:
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations. CoRR abs/2303.10473 (2023) - [i13]Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu:
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software. CoRR abs/2305.14396 (2023) - [i12]Yuanzheng Ma, Xinyue Wang, Benqi Zhao, Ying Xiao, Shijie Deng, Jian Song, Xun Guan:
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image. CoRR abs/2306.14487 (2023) - [i11]Ying Xiao, Houbiao Li, Yu-pu Zhang:
DBGSA: A Novel Data Adaptive Bregman Clustering Algorithm. CoRR abs/2307.14375 (2023) - 2022
- [j19]Du Wang, Sang Ho Lee, Huaizhi Geng, Haoyu Zhong, John Plastaras, Andrzej Wojcieszynski, Richard Caruana, Ying Xiao:
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma. Frontiers Artif. Intell. 5 (2022) - [j18]Zheng Wang, Zhaoying Li, Ying Xiao, Xiaowei Liu, Muzhou Hou, Shuijiao Chen:
Three feature streams based on a convolutional neural network for early esophageal cancer identification. Multim. Tools Appl. 81(26): 38001-38018 (2022) - [j17]Juan Qiu, Dongfeng Han, Rendong Li, Ying Xiao, Hong Zhu, Jing Xia, Jie Jiang, Yifei Han, Qihui Shao, Yi Yan, Xiaodong Li:
Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood. Remote. Sens. 14(15): 3707 (2022) - [c20]Pei Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network. BIBM 2022: 154-157 - [c19]Zhijie Xiao, Donghong Cai, Zhicheng Dong, Ying Xiao, Yonghao Shi, Kunmei Liu:
CNXA: A Novel Attention Mechanism Aided Convolution Network. CCIS 2022: 227-233 - [c18]Lirong Zhang, Ying Xiao, Mingfei Qu:
Teaching and Training System of Power Grid Monitoring Technology Based on Multimodal Information Processing. eLEOT (1) 2022: 445-460 - [c17]Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi:
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. KDD 2022: 2842-2850 - [c16]Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi:
Graph-based Representation Learning for Web-scale Recommender Systems. KDD 2022: 4784-4785 - [i10]Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi:
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. CoRR abs/2202.05387 (2022) - [i9]Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao:
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval. CoRR abs/2205.06205 (2022) - 2021
- [j16]Zheng Wang, Ying Xiao, Futian Weng, Xiaojun Li, Danhua Zhu, Fanggen Lu, Xiaowei Liu, Muzhou Hou, Yu Meng:
R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks. J. Digit. Imaging 34(2): 337-350 (2021) - [j15]Jingwei Wu, Ying Xiao, Chuanzi Li, Zhongshi Nie, Desheng Wang, Bin Chen:
High-Resolution MRI to Evaluate Benefit of Middle Cerebral Artery Stenosis in Secondary Prevention in Patients with Acute Cerebral Infarction. J. Medical Imaging Health Informatics 11(7): 1911-1919 (2021) - [j14]Zheng Wang, Ying Xiao, Yong Li, Jie Zhang, Fanggen Lu, Muzhou Hou, Xiaowei Liu:
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays. Pattern Recognit. 110: 107613 (2021) - [j13]Yonghe Lu, Jiayi Luo, Ying Xiao, Hou Zhu:
Text representation model of scientific papers based on fusing multi-viewpoint information and its quality assessment. Scientometrics 126(8): 6937-6963 (2021) - 2020
- [j12]Juan Li, Chen Xu, Lingxu Jiang, Ying Xiao, Limiao Deng, Zhongzhi Han:
Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning. IEEE Access 8: 18832-18840 (2020) - [j11]Li Yan, Hai-Tao Zhang, Jorge M. Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan:
An interpretable mortality prediction model for COVID-19 patients. Nat. Mach. Intell. 2(5): 283-288 (2020) - [j10]Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. 67(10): 2735-2744 (2020) - [c15]Lijuan Duan, Yao Wang, Ying Xiao, Yuanhua Qiao, Changming Wang:
Prediction of Seizure via Residual Networks Based on Decision Fusion. CISP-BMEI 2020: 807-813
2010 – 2019
- 2019
- [j9]Ya Gao, Ying Xiao:
Frame based multicast scheduling for buffered Clos-network switches. Clust. Comput. 22(Supplement): 2563-2570 (2019) - [c14]Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao:
Towards Unconstrained End-to-End Text Spotting. ICCV 2019: 4703-4713 - [c13]Behrooz Ghorbani, Shankar Krishnan, Ying Xiao:
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. ICML 2019: 2232-2241 - [c12]Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. ISBI 2019: 846-849 - [c11]Hangfan Liu, Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. ISBI 2019: 1303-1306 - [c10]Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) 2019: 583-592 - [c9]Xinyan Liu, Huijuan Ruan, Ying Xiao:
Looking Forward to Seeing Real Experiences through Photos? It Depends on the Quality of Photos. WHICEB 2019: 8 - [i8]Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. CoRR abs/1901.01449 (2019) - [i7]Behrooz Ghorbani, Shankar Krishnan, Ying Xiao:
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. CoRR abs/1901.10159 (2019) - [i6]Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao:
Towards Unconstrained End-to-End Text Spotting. CoRR abs/1908.09231 (2019) - 2018
- [c8]Ying Xiao, Christie I. Ezeife:
E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data. DaWaK 2018: 70-82 - [c7]Shankar Krishnan, Ying Xiao, Rif A. Saurous:
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks. ICLR (Poster) 2018 - [c6]R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous:
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. ICML 2018: 4700-4709 - [c5]Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, Rif A. Saurous:
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. ICML 2018: 5167-5176 - [c4]Lili Liu, Lijuan Duan, Ying Xiao, Yuanhua Qiao:
A Novel Seizure Prediction Method Based on Generative Features. IScIDE 2018: 672-682 - [i5]Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Fei Ren, Ye Jia, Rif A. Saurous:
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. CoRR abs/1803.09017 (2018) - [i4]R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous:
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. CoRR abs/1803.09047 (2018) - 2017
- [j8]Fei Hu, Xinyi Zhang, Yayun Cheng, Ying Xiao, Mengting Song:
Influence of surface roughness on polarization property in passive millimeter-wave imaging. IEICE Electron. Express 14(21): 20171005 (2017) - [j7]Xinsheng Xu, Jing Lin, Ying Xiao, Jianzhe Yu:
An Approach to Extract Product Features from Chinese Consumer Reviews and Establish Product Feature Structure Tree. Int. J. Comput. Linguistics Chin. Lang. Process. 22(1) (2017) - [c3]Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous:
Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH 2017: 4006-4010 - [i3]Yuxuan Wang, R. J. Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc V. Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous:
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR abs/1703.10135 (2017) - [i2]Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous:
Uncovering Latent Style Factors for Expressive Speech Synthesis. CoRR abs/1711.00520 (2017) - [i1]Shankar Krishnan, Ying Xiao, Rif A. Saurous:
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks. CoRR abs/1712.03298 (2017) - 2015
- [j6]Ying Xiao, Wanlin Gao, Ganghong Zhang, Han Zhang:
Compressed Sensing Based Apple Image Measurement Matrix Selection. Int. J. Distributed Sens. Networks 11: 901073:1-901073:7 (2015) - [j5]Ying Xiao:
Model-Based Virtual Thermal Sensors for Lithium-Ion Battery in EV Applications. IEEE Trans. Ind. Electron. 62(5): 3112-3122 (2015) - 2014
- [j4]Huan Liu, Ying Xiao, Wei-Dong Tang, Yan-Hui Zhou:
Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction. Int. J. Autom. Comput. 11(5): 469-479 (2014) - 2011
- [j3]Ying Xiao, Xuange Peng:
A Soft Linen Emulsion Rate Intelligent Control System Based on the Domain Interpolation Algorithm with Self Adjusting. J. Softw. 6(8): 1429-1436 (2011) - 2010
- [j2]Ying Xiao, Xuange Peng, Ming Leng, Bing Zhu:
The Research of Image Collection Method for Sediment Online-Detection. J. Comput. 5(6): 893-900 (2010) - [c2]Xuange Peng, Ying Xiao, Bing Zhu:
Research of Image Acquisition Device for River Sediment. IITSI 2010: 771-776
2000 – 2009
- 2003
- [j1]Ying Xiao, Darek Michalski, James M. Galvin, Yair Censor:
The Least-Intensity Feasible Solution for Aperture-Based Inverse Planning in Radiation Therapy. Ann. Oper. Res. 119(1-4): 183-203 (2003) - [c1]Ying Xiao, Winfried Just:
A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria. GECCO 2003: 154-155
Coauthor Index
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