Mengnan Zhao

Orcid: 0000-0001-8319-4266

According to our database1, Mengnan Zhao authored at least 37 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Adversarial Attacks on Scene Graph Generation.
IEEE Trans. Inf. Forensics Secur., 2024

Class correlation correction for unbiased scene graph generation.
Pattern Recognit., 2024

Adversarial Training: A Survey.
CoRR, 2024

Separable Multi-Concept Erasure from Diffusion Models.
CoRR, 2024

Catastrophic Overfitting: A Potential Blessing in Disguise.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Temporal knowledge graph reasoning triggered by memories.
Appl. Intell., December, 2023

Protecting by attacking: A personal information protecting method with cross-modal adversarial examples.
Neurocomputing, September, 2023

EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation.
CoRR, 2023

Fast Adversarial Training with Smooth Convergence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection.
IEEE Trans. Inf. Forensics Secur., 2022

APR-QKDN: A Quantum Key Distribution Network Routing Scheme Based on Application Priority Ranking.
Entropy, 2022

DDKA-QKDN: Dynamic On-Demand Key Allocation Scheme for Quantum Internet of Things Secured by QKD Network.
Entropy, 2022

2021
What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization?
IEEE Trans. Inf. Theory, 2021

Are You Confident That You Have Successfully Generated Adversarial Examples?
IEEE Trans. Circuits Syst. Video Technol., 2021

Adversarial Analysis for Source Camera Identification.
IEEE Trans. Circuits Syst. Video Technol., 2021

V-LDAA: A New Lattice-Based Direct Anonymous Attestation Scheme for VANETs System.
Secur. Commun. Networks, 2021

Virtual Sample Generation and Ensemble Learning Based Image Source Identification With Small Training Samples.
Int. J. Digit. Crime Forensics, 2021

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More.
CoRR, 2021

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

A Tale of Two Efficient and Informative Negative Sampling Distributions.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
A Constant-time Adaptive Negative Sampling.
CoRR, 2020

Source Camera Identification Based on Coupling Coding and Adaptive Filter.
IEEE Access, 2020

2019
Generalized Nullspace Property for Structurally Sparse Signals.
CoRR, 2019

Mining heterogeneous network for drug repositioning using phenotypic information extracted from social media and pharmaceutical databases.
Artif. Intell. Medicine, 2019

2018
Data set mentions and citations: A content analysis of full-text publications.
J. Assoc. Inf. Sci. Technol., 2018

Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance.
CoRR, 2018

Exploiting OHC Data with Tensor Decomposition for Off-Label Drug Use Detection.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Sparse Recovery over Graph Incidence Matrices.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

2017
Off-Label Drug Use Detection Based on Heterogeneous Network Mining.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Determining Associations with Word Embedding in Heterogeneous Network for Detecting Off-Label Drug Uses.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Automated Off-label Drug Use Detection from User Generated Content.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Detecting Off-label Uses of Prescription Drugs with Meta-Path-Based Mining.
Proceedings of the AMIA 2017, 2017

2016
Patterns of Interaction within Smoking Cessation Groups on Facebook: A Social Network Analysis.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Mining Online Heterogeneous Healthcare Networks for Drug Repositioning.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015
Extraction of Clinical Phenotypic Information from Online Heterogeneous Healthcare Networks.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015


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