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Frontiers in Big Data
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March 11, 2021
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan, Ninghao Liu, Xia Hu
Plant Phenomics (Washington, D.C.)
|
July 1, 2026
Contrastive multi-view representation learning for multi-camera plant phenotyping: A cotton field study
Daniel Petti, Changying Li, Ninghao Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 2, 2026
Optimizing Trust and Safety Regions for Text-to-Image Generation in High-Dimensional Manifold Spaces
Xiang Yang, Xiaohui Li, Yuke Wang, et al.
Journal of Healthcare Engineering
|
October 26, 2017
An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums
Jun Gao, Ninghao Liu, Mark Lawley, et al.
Frontiers in Big Data
|
February 28, 2022
Defense Against Explanation Manipulation
Ruixiang Tang, Ninghao Liu, Fan Yang, et al.
BMC Medical Informatics and Decision Making
|
December 15, 2020
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Identification of Cancer Survivors Living with PTSD on Social Media
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
January 8, 2021
Differentiated Explanation of Deep Neural Networks With Skewed Distributions
Weijie Fu, Meng Wang, Mengnan Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 5, 2025
AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias
Yili Wang, Yaohua Liu, Ninghao Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
July 28, 2024
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning
Shuang Zhou, Xiao Huang, Ninghao Liu, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Frontiers in Big Data
|
March 11, 2021
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan, Ninghao Liu, Xia Hu
Plant Phenomics (Washington, D.C.)
|
July 1, 2026
Contrastive multi-view representation learning for multi-camera plant phenotyping: A cotton field study
Daniel Petti, Changying Li, Ninghao Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 2, 2026
Optimizing Trust and Safety Regions for Text-to-Image Generation in High-Dimensional Manifold Spaces
Xiang Yang, Xiaohui Li, Yuke Wang, et al.
Journal of Healthcare Engineering
|
October 26, 2017
An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums
Jun Gao, Ninghao Liu, Mark Lawley, et al.
Frontiers in Big Data
|
February 28, 2022
Defense Against Explanation Manipulation
Ruixiang Tang, Ninghao Liu, Fan Yang, et al.
BMC Medical Informatics and Decision Making
|
December 15, 2020
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Identification of Cancer Survivors Living with PTSD on Social Media
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
January 8, 2021
Differentiated Explanation of Deep Neural Networks With Skewed Distributions
Weijie Fu, Meng Wang, Mengnan Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 5, 2025
AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias
Yili Wang, Yaohua Liu, Ninghao Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
July 28, 2024
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning
Shuang Zhou, Xiao Huang, Ninghao Liu, et al.
Page
of 2