Shenghong Li

Orcid: 0000-0002-0767-2307

Affiliations:
  • Shanghai Jiaotong University, Department of Electric and Electronic Engineering, China
  • Beijing University of Posts and Telecommunications, China (PhD 1999)


According to our database1, Shenghong Li authored at least 133 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference.
IEEE Trans. Netw. Serv. Manag., August, 2024

Protecting Intellectual Property With Reliable Availability of Learning Models in AI-Based Cybersecurity Services.
IEEE Trans. Dependable Secur. Comput., 2024

BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift.
Comput. Secur., 2024

Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale.
Proceedings of the ACM on Web Conference 2024, 2024

ActiveDaemon: Unconscious DNN Dormancy and Waking Up via User-specific Invisible Token.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

2023
On the Substructure Countability of Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., November, 2023

Graph Neural Point Process for Temporal Interaction Prediction.
IEEE Trans. Knowl. Data Eng., May, 2023

Multitentacle Federated Learning Over Software-Defined Industrial Internet of Things Against Adaptive Poisoning Attacks.
IEEE Trans. Ind. Informatics, 2023

Robust deep semi-supervised learning with label propagation and differential privacy.
Frontiers Comput. Sci., 2023

TagClass: A Tool for Extracting Class-Determined Tags from Massive Malware Labels via Incremental Parsing.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
A parameter-free learning automaton scheme.
Frontiers Neurorobotics, September, 2022

A multi-Markovian switching-based strategy for solving the stochastic point location problem.
Neural Comput. Appl., 2022

A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment.
Neural Comput. Appl., 2022

Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
An Efficient Parameter-Free Learning Automaton Scheme.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures.
IEEE Trans. Inf. Forensics Secur., 2021

Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things.
IEEE Internet Things J., 2021

Automatically Lock Your Neural Networks When You're Away.
CoRR, 2021

Bayesian inference based learning automaton scheme in Q-model environments.
Appl. Intell., 2021

M-GBDT2NN: A more generalized framework of GBDT2NN for online update.
Ad Hoc Networks, 2021

DeepIS: Susceptibility Estimation on Social Networks.
Proceedings of the WSDM '21, 2021

Forecasting Interaction Order on Temporal Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach.
IEEE Wirel. Commun., 2020

Learning Automata Based Competition Scheme to Train Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Mixed geometric loss for bounding box regression in object detection.
J. Electronic Imaging, 2020

Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT.
CoRR, 2020

Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata.
CoRR, 2020

Joint learning of interpretation and distillation.
CoRR, 2020

Gaussian Process Bandits for Online Influence Maximization.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

EM Meets Malicious Data: A Novel Method for Massive Malware Family Inference.
Proceedings of the ICBDT 2020: 3rd International Conference on Big Data Technologies, 2020

2019
Spectrum Detection and Link Quality Assessment for Heterogeneous Shared Access Networks.
IEEE Trans. Veh. Technol., 2019

A Non-Monte-Carlo Parameter-Free Learning Automata Scheme Based on Two Categories of Statistics.
IEEE Trans. Cybern., 2019

Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications.
IEEE Internet Things J., 2019

Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks.
IEEE Access, 2019

Learning Automata Based Incremental Learning Method for Deep Neural Networks.
IEEE Access, 2019

A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach.
IEEE Access, 2019

A Novel Image-Based Malware Classification Model Using Deep Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Information Diffusion Path Construction Algorithm Based on User Characteristics and Text Characteristics.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Maximizing Influence on Social Networks with Conjugate Learning Automata.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Collaborative Attention Network for Natural Language Inference.
Proceedings of the Communications, Signal Processing, and Systems, 2019

A Deep Deformable Convolutional Method for Age-Invariant Face Recognition.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Similar Cluster Based Continuous Bag-of-Words for Word Vector Training.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Weight-Assignment Last-Position Elimination-Based Learning Automata.
Proceedings of the Communications, Signal Processing, and Systems, 2019

2018
A New Learning Automata-Based Pruning Method to Train Deep Neural Networks.
IEEE Internet Things J., 2018

Efficient Classification of Distribution-Based Data for Internet of Things.
IEEE Access, 2018

Large-Scale Price Interval Prediction at OTA Sites.
IEEE Access, 2018

Learning Automata Based Feature Selection for Network Traffic Intrusion Detection.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Anomaly Detection for Power Grid Flow Patterns Based on the Multi-restricted Boltzmann Machines.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

A Multi-view Deep Learning Approach for Detecting Threats on 3D Human Body.
Proceedings of the Communications, Signal Processing, and Systems, 2018

Research on Machine Translation Model Based on Neural Network.
Proceedings of the Communications, Signal Processing, and Systems, 2018

An Incremental Scheme with Weight Pruning to Train Deep Neural Network.
Proceedings of the Communications, Signal Processing, and Systems, 2018

A Learning Automata-Based Compression Scheme for Convolutional Neural Network.
Proceedings of the Communications, Signal Processing, and Systems, 2018

A Double Competitive Strategy-Based Learning Automata Algorithm.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Learning automata-based algorithms for solving the stochastic shortest path routing problems in 5G wireless communication.
Phys. Commun., 2017

A lightweight authentication scheme based on self-updating strategy for space information network.
Int. J. Satell. Commun. Netw., 2017

A loss function based parameterless learning automaton scheme.
Neurocomputing, 2017

A novel parallel framework for pursuit learning schemes.
Neurocomputing, 2017

A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions.
Appl. Intell., 2017

Spectrum Sensing for Cognitive Radios With Unknown Noise Variance and Time-variant Fading Channels.
IEEE Access, 2017

A Novel Image Classification Method with CNN-XGBoost Model.
Proceedings of the Digital Forensics and Watermarking - 16th International Workshop, 2017

An Adaptive Honeypot Deployment Algorithm Based on Learning Automata.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Learning Automata Based Approach for Influence Maximization Problem on Social Networks.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Opportunistic Routing Algorithm Based on Estimator Learning Automata.
Proceedings of the Communications, Signal Processing, and Systems, 2017

Learning Automata Based SVM for Intrusion Detection.
Proceedings of the Communications, Signal Processing, and Systems, 2017

2016
Dynamic Broadband Spectrum Refarming for OFDMA Cellular Systems.
IEEE Trans. Wirel. Commun., 2016

Random Walk-Based Solution to Triple Level Stochastic Point Location Problem.
IEEE Trans. Cybern., 2016

Structured sparsity-driven autofocus algorithm for high-resolution radar imagery.
Signal Process., 2016

Estimator Goore Game based quality of service control with incomplete information for wireless sensor networks.
Signal Process., 2016

Identification of influential nodes in social networks with community structure based on label propagation.
Neurocomputing, 2016

A new prospective for Learning Automata: A machine learning approach.
Neurocomputing, 2016

A cooperative framework of learning automata and its application in tutorial-like system.
Neurocomputing, 2016

Two Approaches on Accelerating Bayesian Two Action Learning Automata.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Pursuit Estimator Learning Automata Based Approach for Online Event Pattern Tracking.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

A New Scheme Based on HSSL for Solving the Stochastic Point Location Problem.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

A General Strategy for Solving the Stochastic Point Location Problem by Utilizing the Correlation of Three Adjacent Nodes.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
A Bayesian Approach for Adaptively Modulated Signals Recognition in Next-Generation Communications.
IEEE Trans. Signal Process., 2015

Passive Image-Splicing Detection by a 2-D Noncausal Markov Model.
IEEE Trans. Circuits Syst. Video Technol., 2015

Deep Sensing for Next-Generation Dynamic Spectrum Sharing: More Than Detecting the Occupancy State of Primary Spectrum.
IEEE Trans. Commun., 2015

Harmonic tonal detectors based on the BOGA.
Signal Process., 2015

Image-splicing forgery detection based on local binary patterns of DCT coefficients.
Secur. Commun. Networks, 2015

Strategies of network coding against nodes conspiracy attack.
Secur. Commun. Networks, 2015

Spectrum Sensing for Self-Organizing Network in the Presence of Time-Variant Multipath Flat Fading Channels and Unknown Noise Variance.
Mob. Networks Appl., 2015

Deep Sensing for Future Spectrum and Location Awareness 5G Communications.
IEEE J. Sel. Areas Commun., 2015

Adaptive Interference Suppression Based on Lv Distribution for DSSS Communications.
J. Circuits Syst. Comput., 2015

A cellular learning automata based algorithm for detecting community structure in complex networks.
Neurocomputing, 2015

Detecting community structure via synchronous label propagation.
Neurocomputing, 2015

Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2015

A novel estimator based learning automata algorithm.
Appl. Intell., 2015

A New Learning Automata Algorithm for Selection of Optimal Subset.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Co-Channel Interference Modeling in Cognitive Wireless Networks.
IEEE Trans. Commun., 2014

Revealing the Traces of Median Filtering Using High-Order Local Ternary Patterns.
IEEE Signal Process. Lett., 2014

A new Learning Automata based approach for online tracking of event patterns.
Neurocomputing, 2014

A general method for P-model FSSA learning in triple level environment.
Neurocomputing, 2014

Interference of Cognitive Wireless Networks on Rayleigh and Rice Fading Channels.
Int. J. Distributed Sens. Networks, 2014

Enhanced state selection Markov model for image splicing detection.
EURASIP J. Wirel. Commun. Netw., 2014

Efficient weakly secure network coding scheme against node conspiracy attack based on network segmentation.
EURASIP J. Wirel. Commun. Netw., 2014

Detection of shifted double JPEG compression by an adaptive DCT coefficient model.
EURASIP J. Adv. Signal Process., 2014

Time domain averaging and correlation-based improved spectrum sensing method for cognitive radio.
EURASIP J. Adv. Signal Process., 2014

Agglomerative Clustering Based on Label Propagation for Detecting Overlapping and Hierarchical Communities in Complex Networks.
Adv. Complex Syst., 2014

A Distributed Local Margin Learning based scheme for high-dimensional feature processing in image tampering detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Abnormal crowd behavior detection using interest points.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

2013
Sampling rate conversion based on DFT and DCT.
Signal Process., 2013

A Distributed Scheme for Image Splicing Detection.
Proceedings of the Digital-Forensics and Watermarking - 12th International Workshop, 2013

Image splicing detection based on noncausal Markov model.
Proceedings of the IEEE International Conference on Image Processing, 2013

An error concealment adaptive framework for intra-frames.
Proceedings of the IEEE International Conference on Image Processing, 2013

Adaptive Step Searching for Solving Stochastic Point Location Problem.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

A complex network-based approach to estimating the number of people in video surveillance.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013

2012
Optimal chroma-like channel design for passive color image splicing detection.
EURASIP J. Adv. Signal Process., 2012

On uncertainty principle of the local polynomial Fourier transform.
EURASIP J. Adv. Signal Process., 2012

Countering Universal Image Tampering Detection with Histogram Restoration.
Proceedings of the Digital Forensics and Watermaking - 11th International Workshop, 2012

Hierarchical activeness state evaluation model for BBS network community.
Proceedings of the 7th International Conference on Communications and Networking in China, 2012

A complex network-based approach for interest point detection in images.
Proceedings of the IEEE international Symposium on Broadband Multimedia Systems and Broadcasting, 2012

Community Detection Using Label Propagation in Entropic Order.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

Perceptual Compressive Sensing Scheme Based on Human Vision System.
Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012

2011
Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork.
J. Comput. Networks Commun., 2011

Gossip-based scalable directed diffusion for wireless sensor networks.
Int. J. Commun. Syst., 2011

A Comprehensive Study on Third Order Statistical Features for Image Splicing Detection.
Proceedings of the Digital Forensics and Watermarking - 10th International Workshop, 2011

New Feature Presentation of Transition Probability Matrix for Image Tampering Detection.
Proceedings of the Digital Forensics and Watermarking - 10th International Workshop, 2011

An efficient angle-based shape matching approach towards object recognition.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

A new genetics-based diffusion model for social networks.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2011

2010
Interleaving Embedding Scheme for ECC-Based Multimedia Fingerprinting.
Proceedings of the Digital Watermarking - 9th International Workshop, 2010

Detecting Digital Image Splicing in Chroma Spaces.
Proceedings of the Digital Watermarking - 9th International Workshop, 2010

2008
A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

2007
Feature Analysis and Classification for Filtering Junk Information in Animation.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
An Audio Copyright Protection Schemes Based on SMM in Cepstrum Domain.
Proceedings of the Structural, 2006

2005
Using Double-Layer One-Class Classification for Anti-jamming Information Filtering.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Exploring Content-Based and Image-Based Features for Nude Image Detection.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Evaluation Incompleteness of Knowledge in Data Mining.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004

2001
Harmonic retrieval in mixed non-Gaussian and gaussian ARMA noises using higher-order statistics.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

1999
A general CAC approach using novel ant algorithm training based neural network.
Proceedings of the International Joint Conference Neural Networks, 1999


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