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ORCIDNing Yu
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
- Ning Yu 0001 — University of Central Florida, School of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more)
- Ning Yu 0002
![[0000-0002-6532-3770]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6532-3770")
— Beijing University of Aeronautics and Astronautics (Beihang University), China (and 1 more) - Ning Yu 0003 — Ludwig Maximilian University of Munich, Germany
- Ning Yu 0004 — State University of New York, Brockport, NY, USA (and 2 more)
- Ning Yu 0005 — Indiana University, School of Library and Information Science, Bloomington, USA
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2020 – today
- 2023
[j20]Yu Shi, Xi Zhang, Ning Yu:
PL-Transformer: a POS-aware and layer ensemble transformer for text classification. Neural Comput. Appl. 35(2): 1971-1982 (2023)- [i25]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
Model-Agnostic Hierarchical Attention for 3D Object Detection. CoRR abs/2301.02650 (2023) - 2022
- [j19]Wei Peng, Hancheng Liu, Wei Dai, Ning Yu, Jianxin Wang:
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinform. 38(19): 4546-4553 (2022) - [j18]Ning Yu, Lin Nan, Tao Ku:
Robot hand-eye cooperation based on improved inverse reinforcement learning. Ind. Robot 49(5): 877-884 (2022) - [j17]Fei Deng, Xi-Ran Zhang, Ning Yu, Lin Zhao:
An Improved RAPID Imaging Method of Defects in Composite Plate Based on Feature Identification by Machine Learning. Sensors 22(21): 8413 (2022) - [j16]Ailong Ma, Ning Yu, Zhuo Zheng, Yanfei Zhong, Liangpei Zhang:
A Supervised Progressive Growing Generative Adversarial Network for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c42]Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Auditing Membership Leakages of Multi-Exit Networks. CCS 2022: 1917-1931 - [c41]Tu Bui, Ning Yu, John P. Collomosse:
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. ECCV (14) 2022: 146-163 - [c40]Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang:
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. ICIC (2) 2022: 245-259 - [c39]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR 2022 - [c38]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR 2022 - [c37]Ning Yu, Ailong Ma, Yanfei Zhong, Xiaodong Gong:
HFGAN: A Heterogeneous Fusion Generative Adversarial Network for Sar-to-Optical Image Translation. IGARSS 2022: 2864-2867 - [i24]Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CoRR abs/2201.07513 (2022) - [i23]Tu Bui, Ning Yu, John P. Collomosse:
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. CoRR abs/2207.02063 (2022) - [i22]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR abs/2207.05801 (2022) - [i21]Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi:
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand. CoRR abs/2208.03382 (2022) - [i20]Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Auditing Membership Leakages of Multi-Exit Networks. CoRR abs/2208.11180 (2022) - [i19]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. CoRR abs/2210.00957 (2022) - [i18]Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang:
Membership Inference Attacks Against Text-to-image Generation Models. CoRR abs/2210.00968 (2022) - [i17]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. CoRR abs/2210.04802 (2022) - [i16]Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang:
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. CoRR abs/2210.06998 (2022) - [i15]Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou:
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. CoRR abs/2212.08841 (2022) - [i14]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. CoRR abs/2212.09877 (2022) - 2021
- [j15]Huoyou Li, Jianshiun Hu, Jingwen Yu, Ning Yu, Qingqiang Wu:
UFaceNet: Research on Multi-Task Face Recognition Algorithm Based on CNN. Algorithms 14(9): 268 (2021) - [j14]Ning Yu, Timothy Haskins:
Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York. Informatics 8(3): 47 (2021) - [j13]Dan Ke, Heci Zhang, Ning Yu, Yanbin Tu:
Who will stay with the brand after posting non-5/5 rating of purchase? An empirical study of online consumer repurchase behavior. Inf. Syst. E Bus. Manag. 19(2): 405-437 (2021) - [j12]Ning Yu, Lin Nan, Tao Ku:
Multipolicy Robot-Following Model Based on Reinforcement Learning. Sci. Program. 2021: 5692105:1-5692105:8 (2021) - [c36]Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. BMVC 2021: 35 - [c35]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CVPR 2021: 7872-7881 - [c34]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c33]Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz:
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV 2021: 14428-14437 - [c32]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI 2021: 2534-2541 - [i13]Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. CoRR abs/2101.11080 (2021) - [i12]Ning Yu, Timothy Haskins:
KNN, An Underestimated Model for Regional Rainfall Forecasting. CoRR abs/2103.15235 (2021) - [i11]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i10]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR abs/2105.14376 (2021) - 2020
- [j11]Jing Li, Ning Yu:
Key Technology of Virtual Roaming System in the Museum of Ancient High-Imitative Calligraphy and Paintings. IEEE Access 8: 151072-151086 (2020) - [j10]Tarek F. Abdelzaher, Jisun An, Marya Bazzi, Jeremy Blackburn, Ugur Kursuncu, Yelena Mejova, Jérémie Rappaz, Horacio Saggion, Panayiotis Smeros, Sanjaya Wijeratne, Ning Yu:
Reports of the Workshops Held at the 2020 International Association for the Advancement of Artificial Intelligence Conference on Web and Social Media. AI Mag. 41(4): 115-120 (2020) - [j9]Ning Yu, Chunyu Lin, Yao Zhao, Meiqin Liu, Xue Zhang:
IET Image Processing. IET Image Process. 14(12): 2711-2718 (2020) - [j8]Gaocai Wang, Ning Yu:
Risk Situation Assessment Model Based on Interdomain Interaction in Cloud Computing Environment. Secur. Commun. Networks 2020: 7816925:1-7816925:12 (2020) - [c31]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS 2020: 343-362 - [c30]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. GCPR 2020: 86-100 - [c29]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) 2020: 377-393 - [c28]Mack Blackburn, Ning Yu, Alex Memory, W. Graham Mueller:
Detecting and Annotating Narratives in Social Media: A Vision Paper. ICWSM Workshops 2020 - [c27]Mack Blackburn, Ning Yu, John Berrie, Brian Gordon, David Longfellow, William Tirrell, Mark Williams:
Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach. STOC@LREC 2020: 41-47 - [i9]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR abs/2004.03355 (2020) - [i8]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. CoRR abs/2004.03706 (2020) - [i7]Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz:
Black-Box Watermarking for Generative Adversarial Networks. CoRR abs/2007.08457 (2020) - [i6]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CoRR abs/2011.14107 (2020) - [i5]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR abs/2012.08726 (2020)
2010 – 2019
- 2019
- [j7]Jiaping Zhang, Yi Zhang, Mingwang Cheng, Ning Yu, Xinyu Wei, Zhenyu Zhang:
Impact of Information Access on Poverty Alleviation Effectiveness: Evidence From China. IEEE Access 7: 149013-149025 (2019) - [c26]Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác:
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. CVPR 2019: 12164-12173 - [c25]Chunyu Lin, Ning Yu, Huihui Bai, Meiqin Liu, Yao Zhao:
Improving Cube-to-ERP Conversion Performance with Geometry Features of 360 Video Structure. DCC 2019: 591 - [c24]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV 2019: 7555-7565 - [i4]Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác:
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. CoRR abs/1901.03447 (2019) - [i3]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR abs/1909.03935 (2019) - 2018
- [c23]Ning Yu, Kun Liu, Kun Ma:
Analysis of Public Opinion Heat Trend in Universities on The Basis of Markov Chain. ICEBE 2018: 218-222 - [c22]Ning Yu, Graham Horwood:
Veracity Enriched Event Extraction. SocialSens@IoTDI 2018: 3 - [c21]Ning Yu, Xiaohui Shen, Zhe L. Lin, Radomír Mech, Connelly Barnes:
Learning to Detect Multiple Photographic Defects. WACV 2018: 1387-1396 - [i2]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. CoRR abs/1811.08180 (2018) - 2017
- [j6]Zhihua Li, Chengyu Yan, Xinrong Yu, Ning Yu:
Bayesian network-based Virtual Machines consolidation method. Future Gener. Comput. Syst. 69: 75-87 (2017) - [j5]Zhihua Li, Ziyuan Li, Ning Yu, Steven Wen:
Locality-Based Visual Outlier Detection Algorithm for Time Series. Secur. Commun. Networks 2017: 1869787:1-1869787:10 (2017) - [c20]Yang Li, Yi An, Ning Yu, Rui-bo Zhu:
Multiresolution process neural network and its learning algorithm. ICSAI 2017: 576-581 - 2016
- [j4]Xiaoming Liu, Qing Shi, Huaping Wang, Tao Sun, Ning Yu, Qiang Huang, Toshio Fukuda:
Microbubbles for High-Speed Assembly of Cell-Laden Vascular-Like Microtube. IEEE Robotics Autom. Lett. 1(2): 754-759 (2016) - [c19]Chengyu Yan, Zhihua Li, Xinrong Yu, Ning Yu:
Bayesian Networks-Based Selection Algorithm for Virtual Machine to Be Migrated. BDCloud-SocialCom-SustainCom 2016: 573-578 - [c18]Yana Guo, Qing Shi, Zhan Yang, Huaping Wang, Ning Yu, Lining Sun, Qiang Huang, Toshio Fukuda:
Automated pick-up of carbon nanotubes inside a scanning electron microscope. IROS 2016: 5318-5323 - [c17]Ning Yu, Hongzhi Wang, Paul A. Yushkevich:
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation. Patch-MI@MICCAI 2016: 100-108 - [i1]Ning Yu, Xiaohui Shen, Zhe L. Lin, Radomír Mech, Connelly Barnes:
Automatic Image Defect Diagnosis. CoRR abs/1612.01635 (2016) - 2015
- [c16]Xiaoming Liu, Qing Shi, Huaping Wang, Tao Sun, Ning Yu, Qiang Huang, Toshio Fukuda:
Automated bubble-based assembly of cell-laden microgels into vascular-like microtubes. IROS 2015: 798-803 - [c15]Ning Yu, Jia Wu, Susan P. Weinstein, Bilwaj Gaonkar, Brad M. Keller, Ahmed Bilal Ashraf, YunQing Jiang, Christos Davatzikos, Emily F. Conant, Despina Kontos:
A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2015: 94140O - [c14]Jia Wu, Yangming Ou, Susan P. Weinstein, Emily F. Conant, Ning Yu, Vahid Hoshmand, Brad M. Keller, Ahmed Bilal Ashraf, Mark Rosen, Angela DeMichele, Christos Davatzikos, Despina Kontos:
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration. Medical Imaging: Computer-Aided Diagnosis 2015: 94141Z - [c13]Ning Yu, Masahiro Nakajima, Qing Shi, Masaru Takeuchi, Zhan Yang, Qiang Huang, Toshio Fukuda:
Measurement of MWCNT/Tungsten contact resistance by bridging CNT on two tungsten electrodes with two manipulators. SII 2015: 956-959 - 2014
- [j3]Ning Yu:
Exploring Co-training strategies for opinion detection. J. Assoc. Inf. Sci. Technol. 65(10): 2098-2110 (2014) - [c12]Can Liu, Sandra Kübler, Ning Yu:
Feature Selection for Highly Skewed Sentiment Analysis Tasks. SocialNLP@COLING 2014: 2-11 - [c11]Can Liu, Chun Guo, Daniel Dakota, Sridhar Rajagopalan, Wen Li, Sandra Kübler, Ning Yu:
"My Curiosity was Satisfied, but not in a Good Way": Predicting User Ratings for Online Recipes. SocialNLP@COLING 2014: 12-21 - [c10]Ning Yu, Xiaoming Liu, Huaping Wang, Shaoqi Chen, Qing Shi, Qiang Huang, Toshio Fukuda:
Bubble-based assembly of micro-tube with coordinated multiple manipulators. MHS 2014: 1-3 - [p1]Ning Yu:
Sentiment Analysis in UGC. Mining User Generated Content 2014: 43-65 - 2012
- [c9]Haibo Yang, Yanyan Zhang, Ning Yu:
Study on Information Literacy of College Students with University Library. ICICA (1) 2012: 414-420 - [c8]Leiyi Zhao, Ning Yu, Xiaoyan Yang, Chunhao Huang, Zhun Liu:
Analysis of Overall E-Business Solution on Personalized Medical Care - - Taking Private Hospitals for Example. WHICEB 2012: 50 - 2011
- [c7]Ning Yu, Sandra Kübler:
Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains. CoNLL 2011: 200-209 - [c6]Songlin Yang, Ning Yu, Feng Zhu, Huilei Li:
One Optimization Method on the Navigation Performance Reliability of Planing Craft. PRDC 2011: 288-289 - 2010
- [c5]Ning Yu, Sandra Kübler:
Semi-supervised Learning for Opinion Detection. Web Intelligence/IAT Workshops 2010: 249-252
2000 – 2009
- 2009
- [j2]Ning Yu, Gregory A. Bakken:
Efficient Exploration of Large Combinatorial Chemistry Spaces by Monomer-Based Similarity Searching. J. Chem. Inf. Model. 49(4): 745-755 (2009) - [c4]Ning Yu, Kyu Hong Cho, Qiang Cheng, Rafael A. Tesorero:
A Hybrid Computational Approach for the Prediction of Small Non-coding RNAs from Genome Sequences. CSE (2) 2009: 1071-1076 - [c3]Nan Hua, Ning Yu, Yi Guo:
Research on Service Oriented and Middleware Based Active QoS Infrastructure of Wireless Sensor Networks. ISPAN 2009: 208-213 - 2005
- [j1]Anthony T. Chronopoulos, Satish Penmatsa, Ning Yu, Yu Du:
Scalable loop self-scheduling schemes for heterogeneous clusters. Int. J. Comput. Sci. Eng. 1(2/3/4): 110-117 (2005) - [c2]Susan C. Herring, Inna Kouper, John C. Paolillo, Lois Ann Scheidt, Michael Tyworth, Peter Welsch, Elijah Wright, Ning Yu:
Conversations in the Blogosphere: An Analysis "From the Bottom Up". HICSS 2005 - 2002
- [c1]Anthony T. Chronopoulos, Satish Penmatsa, Ning Yu:
Scalable Loop Self-Scheduling Schemes for Heterogeneous Clusters. CLUSTER 2002: 353-359
Coauthor Index
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