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ORCIDShenghong Li 0001
Sheng-Hong Li 0001
Person information
- affiliation: Shanghai Jiaotong University, Department of Electric and Electronic Engineering, China
- affiliation (PhD 1999): Beijing University of Posts and Telecommunications, China
Other persons with the same name
- Shenghong Li (aka: Sheng-Hong Li) — disambiguation page
- Shenghong Li 0002
![[0000-0002-5516-9394]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5516-9394")
— CSIRO, Data61, Australia (and 1 more) - Shenghong Li 0003 (aka: Sheng-Hong Li 0003) — Huzhou University, Department of Mathematics, China (and 1 more)
2020 – today
- 2025
[j69]Haorui Yan, Xi Lin, Shenghong Li, Hao Peng, Bo Zhang:
Global or Local Adaptation? Client-Sampled Federated Meta-Learning for Personalized IoT Intrusion Detection. IEEE Trans. Inf. Forensics Secur. 20: 279-293 (2025)- [c64]Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai:
Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. KDD (1) 2025: 1996-2007 - 2024
- [j68]Yongkang Jiang, Gaolei Li, Shenghong Li, Ying Guo:
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift. Comput. Secur. 139: 103706 (2024) - [j67]Ge Ren, Jun Wu, Gaolei Li, Shenghong Li, Mohsen Guizani:
Protecting Intellectual Property With Reliable Availability of Learning Models in AI-Based Cybersecurity Services. IEEE Trans. Dependable Secur. Comput. 21(2): 600-617 (2024) - [j66]Yongkang Jiang, Gaolei Li, Shenghong Li, Ying Guo, Kai Zhou:
Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference. IEEE Trans. Netw. Serv. Manag. 21(4): 4763-4776 (2024) - [c63]Hongying Zhang, Gaolei Li, Shenghong Li, Hongfu Liu, Shuo Wang, Jianhua Li:
How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models. LAMPS@CCS 2024: 25-34 - [c62]Ge Ren, Gaolei Li, Shenghong Li, Libo Chen, Kui Ren:
ActiveDaemon: Unconscious DNN Dormancy and Waking Up via User-specific Invisible Token. NDSS 2024 - [c61]Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu:
Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. WWW 2024: 1656-1667 - [i6]Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai:
Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. CoRR abs/2411.19064 (2024) - 2023
- [j65]Zhicong Yan, Shenghong Li, Zhongli Duan, Yuanyuan Zhao:
Robust deep semi-supervised learning with label propagation and differential privacy. Frontiers Comput. Sci. 5 (2023) - [j64]Gaolei Li, Jun Wu, Shenghong Li, Wu Yang, Changlian Li:
Multitentacle Federated Learning Over Software-Defined Industrial Internet of Things Against Adaptive Poisoning Attacks. IEEE Trans. Ind. Informatics 19(2): 1260-1269 (2023) - [j63]Wenwen Xia, Yuchen Li, Shenghong Li:
Graph Neural Point Process for Temporal Interaction Prediction. IEEE Trans. Knowl. Data Eng. 35(5): 4867-4879 (2023) - [j62]Wenwen Xia, Yuchen Li, Shenghong Li:
On the Substructure Countability of Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(11): 11681-11692 (2023) - [c60]Zhicong Yan, Shenghong Li, Ruijie Zhao, Yuan Tian, Yuanyuan Zhao:
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation. AsiaCCS 2023: 731-745 - [c59]Yongkang Jiang, Gaolei Li, Shenghong Li:
TagClass: A Tool for Extracting Class-Determined Tags from Massive Malware Labels via Incremental Parsing. DSN 2023: 193-200 - [i5]Zhicong Yan, Shenghong Li, Ruijie Zhao, Yuan Tian, Yuanyuan Zhao:
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation. CoRR abs/2306.08009 (2023) - 2022
- [j61]Xudie Ren, Shenghong Li, Hao Ge:
A parameter-free learning automaton scheme. Frontiers Neurorobotics 16 (2022) - [j60]Ying Guo, Chong Di, Shenghong Li:
A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment. Neural Comput. Appl. 34(9): 6811-6824 (2022) - [j59]Ying Guo, Shenghong Li:
A multi-Markovian switching-based strategy for solving the stochastic point location problem. Neural Comput. Appl. 34(9): 6825-6846 (2022) - [c58]Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li:
Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control. ICDM 2022: 588-597 - 2021
- [j58]Jinchao Huang, Tong Li, Yidong Yuan, Shenghong Li:
M-GBDT2NN: A more generalized framework of GBDT2NN for online update. Ad Hoc Networks 112: 102361 (2021) - [j57]Chong Di, Fangqi Li, Shenghong Li, Jianwei Tian:
Bayesian inference based learning automaton scheme in Q-model environments. Appl. Intell. 51(10): 7453-7468 (2021) - [j56]Jinchao Huang, Guofu Li, Jianwei Tian, Shenghong Li:
Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things. IEEE Internet Things J. 8(20): 15228-15239 (2021) - [j55]Zhicong Yan, Jun Wu, Gaolei Li, Shenghong Li, Mohsen Guizani:
Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures. IEEE Trans. Inf. Forensics Secur. 16: 4827-4842 (2021) - [j54]Chong Di, Qilian Liang, Fangqi Li, Shenghong Li, Fucai Luo:
An Efficient Parameter-Free Learning Automaton Scheme. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4849-4863 (2021) - [c57]Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor:
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation. AAAI 2021: 10585-10593 - [c56]Wenwen Xia, Yuchen Li, Jianwei Tian, Shenghong Li:
Forecasting Interaction Order on Temporal Graphs. KDD 2021: 1884-1893 - [c55]Wenwen Xia, Yuchen Li, Jun Wu, Shenghong Li:
DeepIS: Susceptibility Estimation on Social Networks. WSDM 2021: 761-769 - [i4]Ge Ren, Jun Wu, Gaolei Li, Shenghong Li:
Automatically Lock Your Neural Networks When You're Away. CoRR abs/2103.08472 (2021) - 2020
- [j53]Xudie Ren, Fucai Luo, Shenghong Li:
Mixed geometric loss for bounding box regression in object detection. J. Electronic Imaging 29(5): 053005 (2020) - [j52]Haonan Guo, Shenghong Li, Kaiyue Qi, Ying Guo, Zhengwu Xu:
Learning Automata Based Competition Scheme to Train Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 151-158 (2020) - [j51]Chong Di, Fangqi Li, Shenghong Li:
Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach. IEEE Wirel. Commun. 27(5): 80-87 (2020) - [c54]Yongkang Jiang, Shenghong Li, Tong Li:
EM Meets Malicious Data: A Novel Method for Massive Malware Family Inference. ICBDT 2020: 74-79 - [c53]Wenwen Xia, Fangqi Li, Shenghong Li:
Gaussian Process Bandits for Online Influence Maximization. ICDM (Workshops) 2020: 106-113 - [i3]Jinchao Huang, Guofu Li, Zhicong Yan, Fucai Luo, Shenghong Li:
Joint learning of interpretation and distillation. CoRR abs/2005.11638 (2020) - [i2]Fangqi Li, Chong Di, Shenghong Li:
Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata. CoRR abs/2010.10950 (2020) - [i1]Qianqian Pan, Jun Wu, Xi Zheng, Jianhua Li, Shenghong Li, Athanasios V. Vasilakos:
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT. CoRR abs/2012.14716 (2020)
2010 – 2019
- 2019
- [j50]Chong Di, Shenghong Li, Fangqi Li, Kaiyue Qi:
A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach. IEEE Access 7: 27911-27922 (2019) - [j49]Haonan Guo, Shilin Wang, Jianxun Fan, Shenghong Li:
Learning Automata Based Incremental Learning Method for Deep Neural Networks. IEEE Access 7: 41164-41171 (2019) - [j48]Wenwen Xia, Chong Di, Haonan Guo, Shenghong Li:
Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks. IEEE Access 7: 157807-157817 (2019) - [j47]Chong Di, Bo Zhang, Qilian Liang, Shenghong Li, Ying Guo:
Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications. IEEE Internet Things J. 6(4): 6007-6017 (2019) - [j46]Ying Guo, Shenghong Li:
A Non-Monte-Carlo Parameter-Free Learning Automata Scheme Based on Two Categories of Statistics. IEEE Trans. Cybern. 49(12): 4153-4166 (2019) - [j45]Bin Li, Weisi Guo, Haijun Zhang, Chenglin Zhao, Shenghong Li, Arumugam Nallanathan:
Spectrum Detection and Link Quality Assessment for Heterogeneous Shared Access Networks. IEEE Trans. Veh. Technol. 68(2): 1431-1445 (2019) - [c52]Haiwei An, Chong Di, Shenghong Li:
Weight-Assignment Last-Position Elimination-Based Learning Automata. CSPS 2019: 348-354 - [c51]Weikai Sun, Yinghua Ma, Shenghong Li, Shiyi Zhang:
Similar Cluster Based Continuous Bag-of-Words for Word Vector Training. CSPS 2019: 911-918 - [c50]Hui Zhan, Shenghong Li, Haonan Guo:
A Deep Deformable Convolutional Method for Age-Invariant Face Recognition. CSPS 2019: 2029-2037 - [c49]Shiyi Zhang, Yinghua Ma, Shenghong Li, Weikai Sun:
Collaborative Attention Network for Natural Language Inference. CSPS 2019: 2343-2349 - [c48]Chong Di, Fangqi Li, Kaiyue Qi, Shenghong Li:
Maximizing Influence on Social Networks with Conjugate Learning Automata. GLOBECOM 2019: 1-6 - [c47]Xiao Yang, Xiuzhen Chen, Jin Ma, Shenghong Li:
An Information Diffusion Path Construction Algorithm Based on User Characteristics and Text Characteristics. ICMLC 2019: 1-7 - [c46]Yongkang Jiang, Shenghong Li, Yue Wu, Futai Zou:
A Novel Image-Based Malware Classification Model Using Deep Learning. ICONIP (2) 2019: 150-161 - 2018
- [j44]Jinchao Huang, Lin Zhu, Qilian Liang, Bo Fan, Shenghong Li:
Efficient Classification of Distribution-Based Data for Internet of Things. IEEE Access 6: 69279-69287 (2018) - [j43]Jinchao Huang, Lin Zhu, Bo Fan, Yihong Chen, Wen Jiang, Shenghong Li:
Large-Scale Price Interval Prediction at OTA Sites. IEEE Access 6: 69807-69817 (2018) - [j42]Haonan Guo, Shenghong Li, Bin Li, Yinghua Ma, Xudie Ren:
A New Learning Automata-Based Pruning Method to Train Deep Neural Networks. IEEE Internet Things J. 5(5): 3263-3269 (2018) - [c45]Hua Ding, Chong Di, Shenghong Li:
Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Information. CSPS (3) 2018: 25-33 - [c44]Chong Di, Mingda Guo, Jinchao Huang, Shenghong Li:
A Double Competitive Strategy-Based Learning Automata Algorithm. CSPS (3) 2018: 34-41 - [c43]Shuai Feng, Haonan Guo, Jichao Yang, Zhengwu Xu, Shenghong Li:
A Learning Automata-Based Compression Scheme for Convolutional Neural Network. CSPS (3) 2018: 42-49 - [c42]Zhuoran Han, Shenghong Li:
Research on Machine Translation Model Based on Neural Network. CSPS (3) 2018: 244-251 - [c41]Zhicong Yan, Shuai Feng, Fangqi Li, Zhengwu Xu, Shenghong Li:
A Multi-view Deep Learning Approach for Detecting Threats on 3D Human Body. CSPS (3) 2018: 286-294 - [c40]Haonan Guo, Zhicong Yan, Jichao Yang, Shenghong Li:
An Incremental Scheme with Weight Pruning to Train Deep Neural Network. CSPS (3) 2018: 295-302 - [c39]Yu Su, Kaiyue Qi, Chong Di, Yinghua Ma, Shenghong Li:
Learning Automata Based Feature Selection for Network Traffic Intrusion Detection. DSC 2018: 622-627 - [c38]Yichen Li, Yinghua Ma, Mingda Guo, Shenghong Li:
Anomaly Detection for Power Grid Flow Patterns Based on the Multi-restricted Boltzmann Machines. DSC 2018: 628-633 - 2017
- [j41]Shenghong Li, Mengwei Sun, Ying-Chang Liang, Bin Li, Chenglin Zhao:
Spectrum Sensing for Cognitive Radios With Unknown Noise Variance and Time-variant Fading Channels. IEEE Access 5: 21992-22003 (2017) - [j40]Ying Guo, Hao Ge, Shenghong Li:
A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions. Appl. Intell. 46(4): 845-864 (2017) - [j39]Hao Ge, Jianhua Li, Shenghong Li, Wen Jiang, Yifan Wang:
A novel parallel framework for pursuit learning schemes. Neurocomputing 228: 198-204 (2017) - [j38]Ying Guo, Hao Ge, Shenghong Li:
A loss function based parameterless learning automaton scheme. Neurocomputing 260: 331-340 (2017) - [j37]Yuchen Liu, Aixin Zhang, Shenghong Li, Junhua Tang, Jianhua Li:
A lightweight authentication scheme based on self-updating strategy for space information network. Int. J. Satell. Commun. Netw. 35(3): 231-248 (2017) - [j36]Ying Guo, Shenghong Li, Wen Jiang, Bo Zhang, Yinghua Ma:
Learning automata-based algorithms for solving the stochastic shortest path routing problems in 5G wireless communication. Phys. Commun. 25: 376-385 (2017) - [c37]Chong Di, Yu Su, Zhuoran Han, Shenghong Li:
Learning Automata Based SVM for Intrusion Detection. CSPS 2017: 2067-2074 - [c36]Zhuoran Han, Shenghong Li:
Opportunistic Routing Algorithm Based on Estimator Learning Automata. CSPS 2017: 2486-2492 - [c35]Hao Ge, Jinchao Huang, Chong Di, Jianhua Li, Shenghong Li:
Learning Automata Based Approach for Influence Maximization Problem on Social Networks. DSC 2017: 108-117 - [c34]Yan Zhang, Chong Di, Zhuoran Han, Yichen Li, Shenghong Li:
An Adaptive Honeypot Deployment Algorithm Based on Learning Automata. DSC 2017: 521-527 - [c33]Xudie Ren, Haonan Guo, Shenghong Li, Shilin Wang, Jianhua Li:
A Novel Image Classification Method with CNN-XGBoost Model. IWDW 2017: 378-390 - 2016
- [j35]Hao Ge, Yifan Wang, Shenghong Li, Chun-Lung Philip Chen, Ying Guo:
A cooperative framework of learning automata and its application in tutorial-like system. Neurocomputing 188: 311-318 (2016) - [j34]Wen Jiang, Bin Li, Shenghong Li, Yuanyan Tang, Chun-Lung Philip Chen:
A new prospective for Learning Automata: A machine learning approach. Neurocomputing 188: 319-325 (2016) - [j33]Yuxin Zhao, Shenghong Li, Feng Jin:
Identification of influential nodes in social networks with community structure based on label propagation. Neurocomputing 210: 34-44 (2016) - [j32]Lifan Zhao, Lu Wang, Guoan Bi, Shenghong Li, Lei Yang, Haijian Zhang:
Structured sparsity-driven autofocus algorithm for high-resolution radar imagery. Signal Process. 125: 376-388 (2016) - [j31]Shenghong Li, Hao Ge, Ying-Chang Liang, Feng Zhao, Jianhua Li:
Estimator Goore Game based quality of service control with incomplete information for wireless sensor networks. Signal Process. 126: 77-86 (2016) - [j30]Wen Jiang, De-Shuang Huang, Shenghong Li:
Random Walk-Based Solution to Triple Level Stochastic Point Location Problem. IEEE Trans. Cybern. 46(6): 1438-1451 (2016) - [j29]Shiying Han, Ying-Chang Liang, Boon-Hee Soong, Shenghong Li:
Dynamic Broadband Spectrum Refarming for OFDMA Cellular Systems. IEEE Trans. Wirel. Commun. 15(9): 6203-6214 (2016) - [c32]Jinchao Huang, Yan Yan, Ying Guo, Shenghong Li:
A New Scheme Based on HSSL for Solving the Stochastic Point Location Problem. DSC 2016: 209-214 - [c31]Ying Guo, Hao Ge, Jinchao Huang, Shenghong Li:
A General Strategy for Solving the Stochastic Point Location Problem by Utilizing the Correlation of Three Adjacent Nodes. DSC 2016: 215-221 - [c30]Xu-Die Ren, Hao-Nan Guo, Guan-Chen He, Xu Xu, Chong Di, Sheng-Hong Li:
Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification. DSC 2016: 329-334 - [c29]Wen Jiang, Hao Ge, Tianrong Wu, Fanming Wang, Shenghong Li:
Pursuit Estimator Learning Automata Based Approach for Online Event Pattern Tracking. DSC 2016: 637-641 - [c28]Hao Ge, Haiyu Huang, Yulin Li, Shenghong Li, Jianhua Li:
Two Approaches on Accelerating Bayesian Two Action Learning Automata. ICIC (3) 2016: 239-247 - 2015
- [j28]Hao Ge, Wen Jiang, Shenghong Li, Jianhua Li, Yifan Wang, Yuchun Jing:
A novel estimator based learning automata algorithm. Appl. Intell. 42(2): 262-275 (2015) - [j27]Yuxin Zhao, Shenghong Li, Jia Hou:
Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks. Int. J. Distributed Sens. Networks 11: 828493:1-828493:8 (2015) - [j26]Shenghong Li, Hao Lou, Wen Jiang, Junhua Tang:
Detecting community structure via synchronous label propagation. Neurocomputing 151: 1063-1075 (2015) - [j25]Yuxin Zhao, Wen Jiang, Shenghong Li, Yinghua Ma, Guiyang Su, Xiang Lin:
A cellular learning automata based algorithm for detecting community structure in complex networks. Neurocomputing 151: 1216-1226 (2015) - [j24]Shan Luo, Xiumei Li, Shenghong Li, Guoan Bi:
Adaptive Interference Suppression Based on Lv Distribution for DSSS Communications. J. Circuits Syst. Comput. 24(1): 1550012:1-1550012:27 (2015) - [j23]Bin Li, Shenghong Li, Arumugam Nallanathan, Chenglin Zhao:
Deep Sensing for Future Spectrum and Location Awareness 5G Communications. IEEE J. Sel. Areas Commun. 33(7): 1331-1344 (2015) - [j22]Mengwei Sun, Shenghong Li, Bin Li, Chenglin Zhao:
Spectrum Sensing for Self-Organizing Network in the Presence of Time-Variant Multipath Flat Fading Channels and Unknown Noise Variance. Mob. Networks Appl. 20(4): 435-448 (2015) - [j21]Yujin Zhang, Chenglin Zhao, Yiming Pi, Shenghong Li, Shilin Wang:
Image-splicing forgery detection based on local binary patterns of DCT coefficients. Secur. Commun. Networks 8(14): 2386-2395 (2015) - [j20]Rong Du, Chenglin Zhao, Feng Zhao, Shenghong Li:
Strategies of network coding against nodes conspiracy attack. Secur. Commun. Networks 8(14): 2396-2403 (2015) - [j19]Lu Wang, Chunru Wan, Shenghong Li, Guoan Bi:
Harmonic tonal detectors based on the BOGA. Signal Process. 106: 215-230 (2015) - [j18]Bin Li, Shenghong Li, Arumugam Nallanathan, Yijiang Nan, Chenglin Zhao, Zheng Zhou:
Deep Sensing for Next-Generation Dynamic Spectrum Sharing: More Than Detecting the Occupancy State of Primary Spectrum. IEEE Trans. Commun. 63(7): 2442-2457 (2015) - [j17]Xudong Zhao, Shilin Wang, Shenghong Li, Jianhua Li:
Passive Image-Splicing Detection by a 2-D Noncausal Markov Model. IEEE Trans. Circuits Syst. Video Technol. 25(2): 185-199 (2015) - [j16]Bin Li, Shenghong Li, Jia Hou, Junqiang Fu, Chenglin Zhao, Arumugam Nallanathan:
A Bayesian Approach for Adaptively Modulated Signals Recognition in Next-Generation Communications. IEEE Trans. Signal Process. 63(16): 4359-4372 (2015) - [c27]Xinyi Guo, Wen Jiang, Hao Ge, Shenghong Li:
A New Learning Automata Algorithm for Selection of Optimal Subset. ICIC (1) 2015: 693-702 - 2014
- [j15]Yuxin Zhao, Shenghong Li, Shilin Wang:
Agglomerative Clustering Based on Label Propagation for Detecting Overlapping and Hierarchical Communities in Complex Networks. Adv. Complex Syst. 17(6) (2014) - [j14]Shenghong Li, Guoan Bi:
Time domain averaging and correlation-based improved spectrum sensing method for cognitive radio. EURASIP J. Adv. Signal Process. 2014: 46 (2014) - [j13]Shi-Lin Wang, Alan Wee-Chung Liew, Shenghong Li, Yu-Jin Zhang, Jianhua Li:
Detection of shifted double JPEG compression by an adaptive DCT coefficient model. EURASIP J. Adv. Signal Process. 2014: 101 (2014) - [j12]Rong Du, Chenglin Zhao, Shenghong Li, Jian Li:
Efficient weakly secure network coding scheme against node conspiracy attack based on network segmentation. EURASIP J. Wirel. Commun. Netw. 2014: 5 (2014) - [j11]Bo Su, Quanqiao Yuan, Shilin Wang, Chenglin Zhao, Shenghong Li:
Enhanced state selection Markov model for image splicing detection. EURASIP J. Wirel. Commun. Netw. 2014: 7 (2014) - [j10]Jian Li, Shenghong Li:
Interference of Cognitive Wireless Networks on Rayleigh and Rice Fading Channels. Int. J. Distributed Sens. Networks 10 (2014) - [j9]Wen Jiang, Shenghong Li:
A general method for P-model FSSA learning in triple level environment. Neurocomputing 137: 150-156 (2014) - [j8]Wen Jiang, Chenglin Zhao, Sheng-Hong Li, Lawson Chen:
A new Learning Automata based approach for online tracking of event patterns. Neurocomputing 137: 205-211 (2014) - [j7]Yujin Zhang, Shenghong Li, Shilin Wang, Yun-Qing Shi:
Revealing the Traces of Median Filtering Using High-Order Local Ternary Patterns. IEEE Signal Process. Lett. 21(3): 275-279 (2014) - [j6]Jian Li, Shenghong Li, Feng Zhao, Rong Du:
Co-Channel Interference Modeling in Cognitive Wireless Networks. IEEE Trans. Commun. 62(9): 3114-3128 (2014) - [c26]Yueguo Zhang, Lili Dong, Shenghong Li, Jianhua Li:
Abnormal crowd behavior detection using interest points. BMSB 2014: 1-4 - [c25]Xudong Zhao, Jianhua Li, Shilin Wang, Shenghong Li:
A Distributed Local Margin Learning based scheme for high-dimensional feature processing in image tampering detection. ICME 2014: 1-6 - 2013
- [j5]Guoan Bi, Sanjit K. Mitra, Shenghong Li:
Sampling rate conversion based on DFT and DCT. Signal Process. 93(2): 476-486 (2013) - [c24]Yueguo Zhang, Lili Dong, Jianhua Li, Shenghong Li, Zhiyong John Gao:
A complex network-based approach to estimating the number of people in video surveillance. BMSB 2013: 1-4 - [c23]Tongtong Tao, Hao Ge, Guixian Cai, Shenghong Li:
Adaptive Step Searching for Solving Stochastic Point Location Problem. ICIC (1) 2013: 192-198 - [c22]Daqing Zhang, Shenghong Li, Kongjin Yang, Yuchun Jing:
An error concealment adaptive framework for intra-frames. ICIP 2013: 1880-1884 - [c21]Xudong Zhao, Shilin Wang, Shenghong Li, Jianhua Li, Quanqiao Yuan:
Image splicing detection based on noncausal Markov model. ICIP 2013: 4462-4466 - [c20]Xudong Zhao, Shilin Wang, Shenghong Li, Jianhua Li, Xiang Lin:
A Distributed Scheme for Image Splicing Detection. IWDW 2013: 314-325 - 2012
- [j4]Xiumei Li, Guoan Bi, Shenghong Li:
On uncertainty principle of the local polynomial Fourier transform. EURASIP J. Adv. Signal Process. 2012: 120 (2012) - [j3]Xudong Zhao, Shenghong Li, Shilin Wang, Jianhua Li, Kongjin Yang:
Optimal chroma-like channel design for passive color image splicing detection. EURASIP J. Adv. Signal Process. 2012: 240 (2012) - [c19]Fang Wang, Aixin Zhang, Jianhua Li, Shenghong Li:
Perceptual Compressive Sensing Scheme Based on Human Vision System. ACIS-ICIS 2012: 351-355 - [c18]Yuxin Zhao, Shenghong Li, Xiuzhen Chen:
Community Detection Using Label Propagation in Entropic Order. CIT 2012: 18-24 - [c17]Yueguo Zhang, Lili Dong, Shenghong Li, Jianhua Li:
A complex network-based approach for interest point detection in images. BMSB 2012: 1-4 - [c16]Xiuzhen Chen, Jianhua Li, Shenghong Li, Yanan Wang:
Hierarchical activeness state evaluation model for BBS network community. CHINACOM 2012: 206-211 - [c15]Luyi Chen, Shilin Wang, Shenghong Li, Jianhua Li:
Countering Universal Image Tampering Detection with Histogram Restoration. IWDW 2012: 282-289 - 2011
- [j2]Junhua Tang, Sisi Dai, Jianhua Li, Shenghong Li:
Gossip-based scalable directed diffusion for wireless sensor networks. Int. J. Commun. Syst. 24(11): 1418-1430 (2011) - [j1]Xiuzhen Chen, Shenghong Li, Jianhua Li, Zhiyuan Zhang:
Quantitative Similarity Evaluation of Internet Social Network Entities Based on Supernetwork. J. Comput. Networks Commun. 2011: 150762:1-150762:9 (2011) - [c14]Liangxiu Li, Shenghong Li, Xiuzhen Chen:
A new genetics-based diffusion model for social networks. CASoN 2011: 76-81 - [c13]Zhiyuan Zhang, Aixin Zhang, Jianhua Li, Shenghong Li:
An efficient angle-based shape matching approach towards object recognition. ICME 2011: 1-5 - [c12]Xudong Zhao, Shilin Wang, Shenghong Li, Jianhua Li:
A Comprehensive Study on Third Order Statistical Features for Image Splicing Detection. IWDW 2011: 243-256 - [c11]Luyi Chen, Shilin Wang, Shenghong Li, Jianhua Li:
New Feature Presentation of Transition Probability Matrix for Image Tampering Detection. IWDW 2011: 376-386 - 2010
- [c10]Xudong Zhao, Jianhua Li, Shenghong Li, Shilin Wang:
Detecting Digital Image Splicing in Chroma Spaces. IWDW 2010: 12-22 - [c9]Xuping Zheng, Aixin Zhang, Shenghong Li, Bo Jin, Junhua Tang:
Interleaving Embedding Scheme for ECC-Based Multimedia Fingerprinting. IWDW 2010: 211-223
2000 – 2009
- 2008
- [c8]Jian Li, Bo Su, Shenghong Li, Shilin Wang, Danhong Yao:
A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition. IDEAL 2008: 57-64 - 2007
- [c7]Ming Zhao, Shilin Wang, Shenghong Li, Xiang Li, Zhi Xue:
Feature Analysis and Classification for Filtering Junk Information in Animation. ICNC (3) 2007: 551-555 - 2006
- [c6]Shenghong Li, Lili Cui, Jong-Uk Choi, Xuenan Cui:
An Audio Copyright Protection Schemes Based on SMM in Cepstrum Domain. SSPR/SPR 2006: 923-927 - 2005
- [c5]Shi-Lin Wang, Hong Hui, Shenghong Li, Hao Zhang, Yong-yu Shi, Wen-tao Qu:
Exploring Content-Based and Image-Based Features for Nude Image Detection. FSKD (2) 2005: 324-328 - [c4]Qiang Sun, Jianhua Li, Xinran Liang, Shenghong Li:
Using Double-Layer One-Class Classification for Anti-jamming Information Filtering. ISNN (3) 2005: 361-366 - 2004
- [c3]Qiang Li, Jianhua Li, Xiang Li, Shenghong Li:
Evaluation Incompleteness of Knowledge in Data Mining. AWCC 2004: 278-284 - 2001
- [c2]Sheng-Hong Li, Hong-Wen Zhu:
Harmonic retrieval in mixed non-Gaussian and gaussian ARMA noises using higher-order statistics. ISCAS (2) 2001: 113-116
1990 – 1999
- 1999
- [c1]Shenghong Li, Zemin Liu:
A general CAC approach using novel ant algorithm training based neural network. IJCNN 1999: 1885-1888
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[+][–] Unpaywalled article links
Add open access links from 
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[+][–] Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
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Add a list of references from 
, 
, and 
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load references from crossref.org and opencitations.net
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Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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Load additional information about publications from 
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last updated on 2025-05-15 21:32 CEST by the dblp team
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