A general CAC approach using novel ant algorithm training based neural network. - Shenghong Li 001; Zemin Liu (IJCNN, 1999)

Harmonic retrieval in mixed non-Gaussian and gaussian ARMA noises using higher-order statistics. - Sheng-Hong Li 001; Hong-Wen Zhu (ISCAS (2), 2001)

Evaluation Incompleteness of Knowledge in Data Mining. - Qiang Li 026; Jianhua Li 001; Xiang Li; Shenghong Li 001 (AWCC, 2004)

Exploring Content-Based and Image-Based Features for Nude Image Detection. - Shi-Lin Wang; Hong Hui; Shenghong Li 001; Hao Zhang; Yong-yu Shi; Wen-tao Qu (FSKD (2), 2005)

Using Double-Layer One-Class Classification for Anti-jamming Information Filtering. - Qiang Sun; Jianhua Li 001; Xinran Liang; Shenghong Li 001 (ISNN (3), 2005)

An Audio Copyright Protection Schemes Based on SMM in Cepstrum Domain. - Shenghong Li 001; Lili Cui; Jong-Uk Choi; Xuenan Cui (SSPR/SPR, 2006)

Feature Analysis and Classification for Filtering Junk Information in Animation. - Ming Zhao; Shilin Wang; Shenghong Li 001; Xiang Li; Zhi Xue (ICNC (3), 2007)

A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition. - Jian Li; Bo Su; Shenghong Li 001; Shilin Wang; Danhong Yao (IDEAL, 2008)

Detecting Digital Image Splicing in Chroma Spaces. - Xudong Zhao; Jianhua Li 001; Shenghong Li 001; Shilin Wang (IWDW, 2010)

Interleaving Embedding Scheme for ECC-Based Multimedia Fingerprinting. - Xuping Zheng; Aixin Zhang; Shenghong Li 001; Bo Jin; Junhua Tang (IWDW, 2010)

A new genetics-based diffusion model for social networks. - Liangxiu Li; Shenghong Li 001; Xiuzhen Chen (CASoN, 2011)

An efficient angle-based shape matching approach towards object recognition. - Zhiyuan Zhang; Aixin Zhang; Jianhua Li 001; Shenghong Li 001 (ICME, 2011)

New Feature Presentation of Transition Probability Matrix for Image Tampering Detection. - Luyi Chen; Shilin Wang; Shenghong Li 001; Jianhua Li 001 (IWDW, 2011)

A Comprehensive Study on Third Order Statistical Features for Image Splicing Detection. - Xudong Zhao; Shilin Wang; Shenghong Li 001; Jianhua Li 001 (IWDW, 2011)

Gossip-based scalable directed diffusion for wireless sensor networks. - Junhua Tang; Sisi Dai; Jianhua Li 001; Shenghong Li 001 (Int. J. Commun. Syst., 2011)

Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork. - Xiuzhen Chen; Shenghong Li 001; Jianhua Li 001; Zhiyuan Zhang (J. Comput. Networks Commun., 2011)

Perceptual Compressive Sensing Scheme Based on Human Vision System. - Fang Wang; Aixin Zhang; Jianhua Li 001; Shenghong Li 001 (ACIS-ICIS, 2012)

Community Detection Using Label Propagation in Entropic Order. - Yuxin Zhao 002; Shenghong Li 001; Xiuzhen Chen (CIT, 2012)

A complex network-based approach for interest point detection in images. - Yueguo Zhang; Lili Dong; Shenghong Li 001; Jianhua Li 001 (BMSB, 2012)

Hierarchical activeness state evaluation model for BBS network community. - Xiuzhen Chen; Jianhua Li 001; Shenghong Li 001; Yanan Wang (CHINACOM, 2012)

Countering Universal Image Tampering Detection with Histogram Restoration. - Luyi Chen; Shilin Wang; Shenghong Li 001; Jianhua Li 001 (IWDW, 2012)

On uncertainty principle of the local polynomial Fourier transform. - Xiumei Li; Guoan Bi; Shenghong Li 001 (EURASIP J. Adv. Signal Process., 2012)

Optimal chroma-like channel design for passive color image splicing detection. - Xudong Zhao; Shenghong Li 001; Shilin Wang; Jianhua Li 001; Kongjin Yang (EURASIP J. Adv. Signal Process., 2012)

A complex network-based approach to estimating the number of people in video surveillance. - Yueguo Zhang; Lili Dong; Jianhua Li 001; Shenghong Li 001; Zhiyong John Gao (BMSB, 2013)

Adaptive Step Searching for Solving Stochastic Point Location Problem. - Tongtong Tao; Hao Ge; Guixian Cai; Shenghong Li 001 (ICIC (1), 2013)

An error concealment adaptive framework for intra-frames. - Daqing Zhang 001; Shenghong Li 001; Kongjin Yang; Yuchun Jing (ICIP, 2013)

Image splicing detection based on noncausal Markov model. - Xudong Zhao; Shilin Wang; Shenghong Li 001; Jianhua Li 001; Quanqiao Yuan (ICIP, 2013)

A Distributed Scheme for Image Splicing Detection. - Xudong Zhao; Shilin Wang; Shenghong Li 001; Jianhua Li 001; Xiang Lin (IWDW, 2013)

Sampling rate conversion based on DFT and DCT. - Guoan Bi; Sanjit K. Mitra; Shenghong Li 001 (Signal Process., 2013)

Abnormal crowd behavior detection using interest points. - Yueguo Zhang; Lili Dong; Shenghong Li 001; Jianhua Li 001 (BMSB, 2014)

A Distributed Local Margin Learning based scheme for high-dimensional feature processing in image tampering detection. - Xudong Zhao; Jianhua Li 001; Shilin Wang; Shenghong Li 001 (ICME, 2014)

Agglomerative Clustering Based on Label Propagation for Detecting Overlapping and Hierarchical Communities in Complex Networks. - Yuxin Zhao 002; Shenghong Li 001; Shilin Wang (Adv. Complex Syst., 2014)

Time domain averaging and correlation-based improved spectrum sensing method for cognitive radio. - Shenghong Li 001; Guoan Bi (EURASIP J. Adv. Signal Process., 2014)

Detection of shifted double JPEG compression by an adaptive DCT coefficient model. - Shi-Lin Wang; Alan Wee-Chung Liew; Shenghong Li 001; Yu-Jin Zhang; Jianhua Li 001 (EURASIP J. Adv. Signal Process., 2014)

Efficient weakly secure network coding scheme against node conspiracy attack based on network segmentation. - Rong Du; Chenglin Zhao; Shenghong Li 001; Jian Li (EURASIP J. Wirel. Commun. Netw., 2014)

Enhanced state selection Markov model for image splicing detection. - Bo Su; Quanqiao Yuan; Shilin Wang; Chenglin Zhao; Shenghong Li 001 (EURASIP J. Wirel. Commun. Netw., 2014)

Interference of Cognitive Wireless Networks on Rayleigh and Rice Fading Channels. - Jian Li; Shenghong Li 001 (Int. J. Distributed Sens. Networks, 2014)

A general method for P-model FSSA learning in triple level environment. - Wen Jiang 001; Shenghong Li 001 (Neurocomputing, 2014)

A new Learning Automata based approach for online tracking of event patterns. - Wen Jiang 001; Chenglin Zhao; Sheng-Hong Li 001; Lawson Chen (Neurocomputing, 2014)

Revealing the Traces of Median Filtering Using High-Order Local Ternary Patterns. - Yujin Zhang; Shenghong Li 001; Shilin Wang; Yun-Qing Shi 001 (IEEE Signal Process. Lett., 2014)

Co-Channel Interference Modeling in Cognitive Wireless Networks. - Jian Li; Shenghong Li 001; Feng Zhao 002; Rong Du (IEEE Trans. Commun., 2014)

A New Learning Automata Algorithm for Selection of Optimal Subset. - Xinyi Guo; Wen Jiang 001; Hao Ge; Shenghong Li 001 (ICIC (1), 2015)

A novel estimator based learning automata algorithm. - Hao Ge; Wen Jiang 001; Shenghong Li 001; Jianhua Li 001; Yifan Wang 007; Yuchun Jing (Appl. Intell., 2015)

Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks. - Yuxin Zhao 002; Shenghong Li 001; Jia Hou (Int. J. Distributed Sens. Networks, 2015)

Detecting community structure via synchronous label propagation. - Shenghong Li 001; Hao Lou; Wen Jiang 001; Junhua Tang (Neurocomputing, 2015)

A cellular learning automata based algorithm for detecting community structure in complex networks. - Yuxin Zhao 002; Wen Jiang 001; Shenghong Li 001; Yinghua Ma; Guiyang Su; Xiang Lin (Neurocomputing, 2015)

Adaptive Interference Suppression Based on Lv Distribution for DSSS Communications. - Shan Luo 002; Xiumei Li; Shenghong Li 001; Guoan Bi (J. Circuits Syst. Comput., 2015)

Deep Sensing for Future Spectrum and Location Awareness 5G Communications. - Bin Li 002; Shenghong Li 001; Arumugam Nallanathan; Chenglin Zhao (IEEE J. Sel. Areas Commun., 2015)

Spectrum Sensing for Self-Organizing Network in the Presence of Time-Variant Multipath Flat Fading Channels and Unknown Noise Variance. - Mengwei Sun; Shenghong Li 001; Bin Li 002; Chenglin Zhao (Mob. Networks Appl., 2015)

Strategies of network coding against nodes conspiracy attack. - Rong Du; Chenglin Zhao; Feng Zhao 002; Shenghong Li 001 (Secur. Commun. Networks, 2015)

Image-splicing forgery detection based on local binary patterns of DCT coefficients. - Yujin Zhang; Chenglin Zhao; Yiming Pi; Shenghong Li 001; Shilin Wang (Secur. Commun. Networks, 2015)

Harmonic tonal detectors based on the BOGA. - Lu Wang 003; Chunru Wan; Shenghong Li 001; Guoan Bi (Signal Process., 2015)

Deep Sensing for Next-Generation Dynamic Spectrum Sharing: More Than Detecting the Occupancy State of Primary Spectrum. - Bin Li 002; Shenghong Li 001; Arumugam Nallanathan; Yijiang Nan; Chenglin Zhao; Zheng Zhou 001 (IEEE Trans. Commun., 2015)

Passive Image-Splicing Detection by a 2-D Noncausal Markov Model. - Xudong Zhao; Shilin Wang; Shenghong Li 001; Jianhua Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2015)

A Bayesian Approach for Adaptively Modulated Signals Recognition in Next-Generation Communications. - Bin Li 002; Shenghong Li 001; Jia Hou; Junqiang Fu; Chenglin Zhao; Arumugam Nallanathan (IEEE Trans. Signal Process., 2015)

A General Strategy for Solving the Stochastic Point Location Problem by Utilizing the Correlation of Three Adjacent Nodes. - Ying Guo 004; Hao Ge; Jinchao Huang 001; Shenghong Li 001 (DSC, 2016)

A New Scheme Based on HSSL for Solving the Stochastic Point Location Problem. - Jinchao Huang 001; Yan Yan; Ying Guo 004; Shenghong Li 001 (DSC, 2016)

Pursuit Estimator Learning Automata Based Approach for Online Event Pattern Tracking. - Wen Jiang 001; Hao Ge; Tianrong Wu; Fanming Wang; Shenghong Li 001 (DSC, 2016)

Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification. - Xu-Die Ren; Hao-Nan Guo; Guan-Chen He; Xu Xu; Chong Di 001; Sheng-Hong Li 001 (DSC, 2016)

Two Approaches on Accelerating Bayesian Two Action Learning Automata. - Hao Ge; Haiyu Huang 004; Yulin Li; Shenghong Li 001; Jianhua Li 001 (ICIC (3), 2016)

A cooperative framework of learning automata and its application in tutorial-like system. - Hao Ge; Yifan Wang 007; Shenghong Li 001; Chun-Lung Philip Chen; Ying Guo 004 (Neurocomputing, 2016)

A new prospective for Learning Automata: A machine learning approach. - Wen Jiang 001; Bin Li 002; Shenghong Li 001; Yuanyan Tang; Chun-Lung Philip Chen (Neurocomputing, 2016)

Identification of influential nodes in social networks with community structure based on label propagation. - Yuxin Zhao 002; Shenghong Li 001; Feng Jin (Neurocomputing, 2016)

Estimator Goore Game based quality of service control with incomplete information for wireless sensor networks. - Shenghong Li 001; Hao Ge; Ying-Chang Liang; Feng Zhao 002; Jianhua Li 001 (Signal Process., 2016)

Structured sparsity-driven autofocus algorithm for high-resolution radar imagery. - Lifan Zhao; Lu Wang 003; Guoan Bi; Shenghong Li 001; Lei Yang 015; Haijian Zhang (Signal Process., 2016)

Random Walk-Based Solution to Triple Level Stochastic Point Location Problem. - Wen Jiang 001; De-Shuang Huang; Shenghong Li 001 (IEEE Trans. Cybern., 2016)

Dynamic Broadband Spectrum Refarming for OFDMA Cellular Systems. - Shiying Han; Ying-Chang Liang; Boon-Hee Soong; Shenghong Li 001 (IEEE Trans. Wirel. Commun., 2016)

Learning Automata Based SVM for Intrusion Detection. - Chong Di 001; Yu Su; Zhuoran Han; Shenghong Li 001 (CSPS, 2017)

Opportunistic Routing Algorithm Based on Estimator Learning Automata. - Zhuoran Han; Shenghong Li 001 (CSPS, 2017)

Learning Automata Based Approach for Influence Maximization Problem on Social Networks. - Hao Ge; Jinchao Huang 001; Chong Di 001; Jianhua Li 001; Shenghong Li 001 (DSC, 2017)

An Adaptive Honeypot Deployment Algorithm Based on Learning Automata. - Yan Zhang; Chong Di 001; Zhuoran Han; Yichen Li; Shenghong Li 001 (DSC, 2017)

A Novel Image Classification Method with CNN-XGBoost Model. - Xudie Ren; Haonan Guo; Shenghong Li 001; Shilin Wang; Jianhua Li 001 (IWDW, 2017)

Spectrum Sensing for Cognitive Radios With Unknown Noise Variance and Time-variant Fading Channels. - Shenghong Li 001; Mengwei Sun; Ying-Chang Liang; Bin Li 002; Chenglin Zhao (IEEE Access, 2017)

A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions. - Ying Guo 004; Hao Ge; Shenghong Li 001 (Appl. Intell., 2017)

A novel parallel framework for pursuit learning schemes. - Hao Ge; Jianhua Li 001; Shenghong Li 001; Wen Jiang 001; Yifan Wang 007 (Neurocomputing, 2017)

A loss function based parameterless learning automaton scheme. - Ying Guo 004; Hao Ge; Shenghong Li 001 (Neurocomputing, 2017)

A lightweight authentication scheme based on self-updating strategy for space information network. - Yuchen Liu 001; Aixin Zhang; Shenghong Li 001; Junhua Tang; Jianhua Li 001 (Int. J. Satell. Commun. Netw., 2017)

Learning automata-based algorithms for solving the stochastic shortest path routing problems in 5G wireless communication. - Ying Guo 004; Shenghong Li 001; Wen Jiang 001; Bo Zhang 063; Yinghua Ma (Phys. Commun., 2017)

A Double Competitive Strategy-Based Learning Automata Algorithm. - Chong Di 001; Mingda Guo; Jinchao Huang 001; Shenghong Li 001 (CSPS (3), 2018)

A Learning Automata-Based Compression Scheme for Convolutional Neural Network. - Shuai Feng; Haonan Guo; Jichao Yang; Zhengwu Xu; Shenghong Li 001 (CSPS (3), 2018)

An Incremental Scheme with Weight Pruning to Train Deep Neural Network. - Haonan Guo; Zhicong Yan; Jichao Yang; Shenghong Li 001 (CSPS (3), 2018)

Research on Machine Translation Model Based on Neural Network. - Zhuoran Han; Shenghong Li 001 (CSPS (3), 2018)

Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Information. - Hua Ding; Chong Di 001; Shenghong Li 001 (CSPS (3), 2018)

A Multi-view Deep Learning Approach for Detecting Threats on 3D Human Body. - Zhicong Yan; Shuai Feng; Fangqi Li 001; Zhengwu Xu; Shenghong Li 001 (CSPS (3), 2018)

Anomaly Detection for Power Grid Flow Patterns Based on the Multi-restricted Boltzmann Machines. - Yichen Li; Yinghua Ma; Mingda Guo; Shenghong Li 001 (DSC, 2018)

Learning Automata Based Feature Selection for Network Traffic Intrusion Detection. - Yu Su; Kaiyue Qi; Chong Di 001; Yinghua Ma; Shenghong Li 001 (DSC, 2018)

Large-Scale Price Interval Prediction at OTA Sites. - Jinchao Huang 001; Lin Zhu; Bo Fan; Yihong Chen; Wen Jiang 001; Shenghong Li 001 (IEEE Access, 2018)

Efficient Classification of Distribution-Based Data for Internet of Things. - Jinchao Huang 001; Lin Zhu; Qilian Liang; Bo Fan; Shenghong Li 001 (IEEE Access, 2018)

A New Learning Automata-Based Pruning Method to Train Deep Neural Networks. - Haonan Guo; Shenghong Li 001; Bin Li 002; Yinghua Ma; Xudie Ren (IEEE Internet Things J., 2018)

Weight-Assignment Last-Position Elimination-Based Learning Automata. - Haiwei An; Chong Di 001; Shenghong Li 001 (CSPS, 2019)

Similar Cluster Based Continuous Bag-of-Words for Word Vector Training. - Weikai Sun; Yinghua Ma; Shenghong Li 001; Shiyi Zhang (CSPS, 2019)

A Deep Deformable Convolutional Method for Age-Invariant Face Recognition. - Hui Zhan; Shenghong Li 001; Haonan Guo (CSPS, 2019)

Collaborative Attention Network for Natural Language Inference. - Shiyi Zhang; Yinghua Ma; Shenghong Li 001; Weikai Sun (CSPS, 2019)

Maximizing Influence on Social Networks with Conjugate Learning Automata. - Chong Di 001; Fangqi Li 001; Kaiyue Qi; Shenghong Li 001 (GLOBECOM, 2019)

An Information Diffusion Path Construction Algorithm Based on User Characteristics and Text Characteristics. - Xiao Yang; Xiuzhen Chen; Jin Ma; Shenghong Li 001 (ICMLC, 2019)

A Novel Image-Based Malware Classification Model Using Deep Learning. - Yongkang Jiang; Shenghong Li 001; Yue Wu 010; Futai Zou (ICONIP (2), 2019)

A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach. - Chong Di 001; Shenghong Li 001; Fangqi Li 001; Kaiyue Qi (IEEE Access, 2019)

Learning Automata Based Incremental Learning Method for Deep Neural Networks. - Haonan Guo; Shilin Wang; Jianxun Fan; Shenghong Li 001 (IEEE Access, 2019)

Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks. - Wenwen Xia; Chong Di 001; Haonan Guo; Shenghong Li 001 (IEEE Access, 2019)

Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications. - Chong Di 001; Bo Zhang 063; Qilian Liang; Shenghong Li 001; Ying Guo 004 (IEEE Internet Things J., 2019)

A Non-Monte-Carlo Parameter-Free Learning Automata Scheme Based on Two Categories of Statistics. - Ying Guo 004; Shenghong Li 001 (IEEE Trans. Cybern., 2019)

Spectrum Detection and Link Quality Assessment for Heterogeneous Shared Access Networks. - Bin Li 002; Weisi Guo; Haijun Zhang 001; Chenglin Zhao; Shenghong Li 001; Arumugam Nallanathan (IEEE Trans. Veh. Technol., 2019)

EM Meets Malicious Data: A Novel Method for Massive Malware Family Inference. - Yongkang Jiang; Shenghong Li 001; Tong Li (ICBDT, 2020)

Gaussian Process Bandits for Online Influence Maximization. - Wenwen Xia; Fangqi Li 001; Shenghong Li 001 (ICDM (Workshops), 2020)

Joint learning of interpretation and distillation. - Jinchao Huang 001; Guofu Li; Zhicong Yan; Fucai Luo; Shenghong Li 001 (CoRR, 2020)

Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata. - Fangqi Li 001; Chong Di 001; Shenghong Li 001 (CoRR, 2020)

Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT. - Qianqian Pan; Jun Wu 001; Xi Zheng 001; Jianhua Li 001; Shenghong Li 001; Athanasios V. Vasilakos (CoRR, 2020)

Mixed geometric loss for bounding box regression in object detection. - Xudie Ren; Fucai Luo; Shenghong Li 001 (J. Electronic Imaging, 2020)

Learning Automata Based Competition Scheme to Train Deep Neural Networks. - Haonan Guo; Shenghong Li 001; Kaiyue Qi; Ying Guo 004; Zhengwu Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach. - Chong Di 001; Fangqi Li 001; Shenghong Li 001 (IEEE Wirel. Commun., 2020)

DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation. - Zhicong Yan; Gaolei Li; Yuan Tian 017; Jun Wu 001; Shenghong Li 001; Mingzhe Chen; H. Vincent Poor (AAAI, 2021)

Forecasting Interaction Order on Temporal Graphs. - Wenwen Xia; Yuchen Li 001; Jianwei Tian; Shenghong Li 001 (KDD, 2021)

DeepIS: Susceptibility Estimation on Social Networks. - Wenwen Xia; Yuchen Li 001; Jun Wu 001; Shenghong Li 001 (WSDM, 2021)

M-GBDT2NN: A more generalized framework of GBDT2NN for online update. - Jinchao Huang 001; Tong Li; Yidong Yuan; Shenghong Li 001 (Ad Hoc Networks, 2021)

Bayesian inference based learning automaton scheme in Q-model environments. - Chong Di 001; Fangqi Li 001; Shenghong Li 001; Jianwei Tian (Appl. Intell., 2021)

Automatically Lock Your Neural Networks When You're Away. - Ge Ren; Jun Wu 001; Gaolei Li; Shenghong Li 001 (CoRR, 2021)

Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things. - Jinchao Huang 001; Guofu Li; Jianwei Tian; Shenghong Li 001 (IEEE Internet Things J., 2021)

Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures. - Zhicong Yan; Jun Wu 001; Gaolei Li; Shenghong Li 001; Mohsen Guizani (IEEE Trans. Inf. Forensics Secur., 2021)

An Efficient Parameter-Free Learning Automaton Scheme. - Chong Di 001; Qilian Liang; Fangqi Li 001; Shenghong Li 001; Fucai Luo (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control. - Wenwen Xia; Yuchen Li 001; Wentian Guo; Shenghong Li 001 (ICDM, 2022)

A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment. - Ying Guo 004; Chong Di 001; Shenghong Li 001 (Neural Comput. Appl., 2022)

A multi-Markovian switching-based strategy for solving the stochastic point location problem. - Ying Guo 004; Shenghong Li 001 (Neural Comput. Appl., 2022)

A parameter-free learning automaton scheme. - Xudie Ren; Shenghong Li 001; Hao Ge (Frontiers Neurorobotics, 2022)

DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation. - Zhicong Yan; Shenghong Li 001; Ruijie Zhao 001; Yuan Tian 017; Yuanyuan Zhao (AsiaCCS, 2023)

TagClass: A Tool for Extracting Class-Determined Tags from Massive Malware Labels via Incremental Parsing. - Yongkang Jiang; Gaolei Li; Shenghong Li 001 (DSN, 2023)

Robust deep semi-supervised learning with label propagation and differential privacy. - Zhicong Yan; Shenghong Li 001; Zhongli Duan; Yuanyuan Zhao (Frontiers Comput. Sci., 2023)

Multitentacle Federated Learning Over Software-Defined Industrial Internet of Things Against Adaptive Poisoning Attacks. - Gaolei Li; Jun Wu 001; Shenghong Li 001; Wu Yang 001; Changlian Li (IEEE Trans. Ind. Informatics, 2023)

Graph Neural Point Process for Temporal Interaction Prediction. - Wenwen Xia; Yuchen Li 001; Shenghong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

On the Substructure Countability of Graph Neural Networks. - Wenwen Xia; Yuchen Li 001; Shenghong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement. - Ge Ren; Gaolei Li; Bo Zhang; Xiaoyang Jiang; Shiyong Qiu; Liangjie Liu; Wei Du; Shuilin Li; Hao Peng; Shenghong Li 001 (ICONIP (8), 2024)

How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models. - Hongying Zhang; Gaolei Li; Shenghong Li 001; Hongfu Liu 003; Shuo Wang 012; Jianhua Li 001 (LAMPS@CCS, 2024)

ActiveDaemon: Unconscious DNN Dormancy and Waking Up via User-specific Invisible Token. - Ge Ren; Gaolei Li; Shenghong Li 001; Libo Chen; Kui Ren 001 (NDSS, 2024)

Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. - Hua Ding; Lixing Chen; Shenghong Li 001; Yang Bai 010; Pan Zhou 001; Zhe Qu (WWW, 2024)

BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift. - Yongkang Jiang; Gaolei Li; Shenghong Li 001; Ying Guo 004 (Comput. Secur., 2024)

Protecting Intellectual Property With Reliable Availability of Learning Models in AI-Based Cybersecurity Services. - Ge Ren; Jun Wu 001; Gaolei Li; Shenghong Li 001; Mohsen Guizani (IEEE Trans. Dependable Secur. Comput., 2024)

Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference. - Yongkang Jiang; Gaolei Li; Shenghong Li 001; Ying Guo 004; Kai Zhou 001 (IEEE Trans. Netw. Serv. Manag., 2024)

A Novel Lightweight YOLO Method for Satellite Remote Sensing via Matrix Decomposition. - Hongfu Liu 003; Hongyu Fu; Bin Li 002; Cheng Sun; Shenghong Li 001; Chenglin Zhao (ICIC (22), 2025)

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. - Yutong Zhang 003; Lixing Chen; Shenghong Li 001; Nan Cao 001; Yang Shi 007; Jiaxin Ding 001; Zhe Qu; Pan Zhou 001; Yang Bai 010 (KDD (1), 2025)

Global or Local Adaptation? Client-Sampled Federated Meta-Learning for Personalized IoT Intrusion Detection. - Haorui Yan; Xi Lin 003; Shenghong Li 001; Hao Peng 002; Bo Zhang 063 (IEEE Trans. Inf. Forensics Secur., 2025)