Research on Compensation Fuzzy Reasoning and application in DoS attack detection. - Jingjiao Li; Cholman Ho; Sonil Gwak; Zhenni Li; Zongho Choe (FSKD, 2012)

Dictionary learning by nonnegative matrix factorization with 1/2-norm sparsity constraint. - Zhenni Li; Zunyi Tang; Shuxue Ding (CYBCONF, 2013)

Sparse representation and dictionary learning based on alternating parallel coordinate descent. - Zunyi Tang; Toshiyo Tamura; Shuxue Ding; Zhenni Li (iCAST/UMEDIA, 2013)

A SoC design and implementation of dynamic image edge detection based on the LEON3 open source processor. - Zhenni Li; Jingjiao Li; Liang Li; Yue Zhao; Chaoqun Rong (ICNC, 2013)

Improving dictionary learning using the Itakura-Saito divergence. - Zhenni Li; Shuxue Ding; Yujie Li 002; Zunyi Tang; Wuhui Chen (ChinaSIP, 2014)

A dictionary-learning algorithm for the analysis sparse model with a determinant-type of sparsity measure. - Yujie Li 002; Shuxue Ding; Zhenni Li (DSP, 2014)

Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure. - Wuhui Chen; Banage T. G. S. Kumara; Incheon Paik; Zhenni Li (BigDataService, 2015)

Dictionary learning with ℓ1/2 regularizer for sparsity based on proximal operator. - Zhenni Li; Shuxue Ding; Yujie Li 002; Wuhui Chen (iCAST, 2015)

Analysis dictionary learning based on summation of blocked determinants measure of sparseness. - Yujie Li 002; Shuxue Ding; Zhenni Li (DSP, 2015)

Dictionary learning with log-regularizer for sparse representation. - Zhenni Li; Shuxue Ding; Yujie Li 002 (DSP, 2015)

An efficient algorithm for dictionary learning with a mixed-norm regularizer for sparsity based on proximal operator. - Zhenni Li; Shuxue Ding; Takafumi Hayashi; Wuhui Chen; Yujie Li 002 (ICSPCS, 2015)

Non-negative Dictionary-Learning Algorithm for the Analysis Model Based on L1 Norm. - Yujie Li 002; Shuxue Ding; Zhenni Li; Wuhui Chen (IIAI-AAI, 2015)

A Fast Algorithm for Learning Overcomplete Dictionary for Sparse Representation Based on Proximal Operators. - Zhenni Li; Shuxue Ding; Yujie Li 002 (Neural Comput., 2015)

An Asynchronous 2D-Torus Network-on-Chip Using Adaptive Routing Algorithm. - Zhenni Li; Jingjiao Li; Aiyun Yan; Lan Yao (BigCom, 2016)

Target Detection and Tracking in Big Surveillance Video Data. - Aiyun Yan; Jingjiao Li; Zhenni Li; Lan Yao (BigCom, 2016)

Dictionary learning for sparse representation using weighted ℓ1-norm. - Haoli Zhao; Shuxue Ding; Yujie Li 002; Zhenni Li; Xiang Li 005; Benying Tan (GlobalSIP, 2016)

Nonnegative sparse representation based on the determinant measure. - Yujie Li 002; Shuxue Ding; Benying Tan; Zhenni Li; Haoli Zhao (DSP, 2016)

An efficient algorithm for incoherent analysis dictionary learning based on proximal operator. - Zhenni Li; Takafumi Hayashi; Shuxue Ding; Xiang Li 005 (SMC, 2016)

Dictionary learning with the cosparse analysis model based on summation of blocked determinants as the sparseness measure. - Yujie Li 002; Shuxue Ding; Zhenni Li (Digit. Signal Process., 2016)

Tology-Aware Optimal Data Placement Algorithm for Network Traffic Optimization. - Wuhui Chen; Incheon Paik; Zhenni Li (IEEE Trans. Computers, 2016)

Dictionary learning in the analysis sparse representation with optimization on Stiefel manifold. - Yujie Li 002; Shuxue Ding; Zhenni Li; Xiang Li 005; Benying Tan (GlobalSIP, 2017)

Defect detection on thin-wall structure via dictionary learning. - Xiang Li 005; Shuxue Ding; Zhenni Li; Haoli Zhao; Benying Tan (I2MTC, 2017)

Incoherent dictionary learning with log-regularizer based on proximal operators. - Zhenni Li; Shuxue Ding; Takafumi Hayashi; Yujie Li 002 (Digit. Signal Process., 2017)

Analysis dictionary learning using block coordinate descent framework with proximal operators. - Zhenni Li; Shuxue Ding; Takafumi Hayashi; Yujie Li 002 (Neurocomputing, 2017)

Cost-Aware Streaming Workflow Allocation on Geo-Distributed Data Centers. - Wuhui Chen; Incheon Paik; Zhenni Li (IEEE Trans. Computers, 2017)

An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace. - Huakun Huang; Haoli Zhao; Xiang Li 005; Shuxue Ding; Lingjun Zhao; Zhenni Li (IEEE Access, 2018)

Overcomplete Transform Learning With the log Regularizer. - Zhenni Li; Shengli Xie; Wuhui Chen; Zuyuan Yang (IEEE Access, 2018)

A cost minimization data allocation algorithm for dynamic datacenter resizing. - Wuhui Chen; Incheon Paik; Zhenni Li; Neil Y. Yen (J. Parallel Distributed Comput., 2018)

Dictionary learning with the ({{ ell }_{1/2}} ) -regularizer and the coherence penalty and its convergence analysis. - Zhenni Li; Takafumi Hayashi; Shuxue Ding; Yujie Li 002 (Int. J. Mach. Learn. Cybern., 2018)

Manifold optimization-based analysis dictionary learning with an ℓ1∕2-norm regularizer. - Zhenni Li; Shuxue Ding; Yujie Li 002; Zuyuan Yang; Shengli Xie; Wuhui Chen (Neural Networks, 2018)

Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis. - Zhenni Li; Shuxue Ding; Wuhui Chen; Zuyuan Yang; Shengli Xie (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Sparse Representation Based on the Analysis Model With Optimization on the Stiefel Manifold. - Yujie Li 002; Shuxue Ding; Benying Tan; Haoli Zhao; Zhenni Li (IEEE Access, 2019)

An $ ell_{1/2}$ -Norm Regularizer-Based Sparse Coding Framework for Gaze Prediction in First-Person Videos. - Yujie Li 002; Zhenni Li; Atsunori Kanemura (IEEE Access, 2019)

Credit-Based Payments for Fast Computing Resource Trading in Edge-Assisted Internet of Things. - Zhenni Li; Zuyuan Yang; Shengli Xie; Wuhui Chen; Kang Liu (IEEE Internet Things J., 2019)

A Novel Debt-Credit Mechanism for Blockchain-Based Data-Trading in Internet of Vehicles. - Kang Liu; Wuhui Chen; Zibin Zheng; Zhenni Li; Wei Liang 005 (IEEE Internet Things J., 2019)

Computing Resource Trading for Edge-Cloud-Assisted Internet of Things. - Zhenni Li; Zuyuan Yang; Shengli Xie (IEEE Trans. Ind. Informatics, 2019)

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Haonan Huang; Naiyao Liang; Wei Yan; Zuyuan Yang; Zhenni Li; Weijun Sun (ICDM (Workshops), 2020)

Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Weijun Sun; Shengli Xie (Knowl. Based Syst., 2020)

Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie; Chun-Yi Su (Knowl. Based Syst., 2020)

Modeling the Impact of the MoreData Parameter for Wireless Power-Saving Protocols. - Li Feng 001; Qinglin Zhao; Zhiguo Shi 001; Zhenni Li; Yong Liang 001 (IEEE Trans. Green Commun. Netw., 2020)

SatOpt Partition: Dividing Throughput-Stability Region for IEEE 802.11 DCF Networks. - Qinglin Zhao; Li Feng 001; Lian Zhao; Zhenni Li; Yong Liang 001 (IEEE Trans. Veh. Technol., 2020)

Gradient-Free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. - Ying Xie; Zhenni Li; Haoli Zhao (PRCV (4), 2021)

Co-attention fusion based deep neural network for Chinese medical answer selection. - Xichen Chen; Zuyuan Yang; Naiyao Liang; Zhenni Li; Weijun Sun (Appl. Intell., 2021)

A Residual Network and FPGA Based Real-Time Depth Map Enhancement System. - Zhenni Li; Haoyi Sun; Yuliang Gao; Jiao Wang (Entropy, 2021)

A fast DC-based dictionary learning algorithm with the SCAD penalty. - Zhenni Li; Chao Wan; Benying Tan; Zuyuan Yang; Shengli Xie (Neurocomputing, 2021)

NOMA-Enabled Cooperative Computation Offloading for Blockchain-Empowered Internet of Things: A Learning Approach. - Zhenni Li; Minrui Xu; Jiangtian Nie; Jiawen Kang 001; Wuhui Chen; Shengli Xie (IEEE Internet Things J., 2021)

Block-Sparse Coding-Based Machine Learning Approach for Dependable Device-Free Localization in IoT Environment. - Lingjun Zhao; Huakun Huang; Chunhua Su; Shuxue Ding; Huawei Huang; Zhiyuan Tan 001; Zhenni Li (IEEE Internet Things J., 2021)

Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie; Weijun Sun (Knowl. Based Syst., 2021)

Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering. - Zuyuan Yang; Naiyao Liang; Wei Yan; Zhenni Li; Shengli Xie (IEEE Trans. Cybern., 2021)

QoS-Aware Data Placement for MapReduce Applications in Geo-Distributed Data Centers. - Wuhui Chen; Baichuan Liu; Incheon Paik; Zhenni Li; Zibin Zheng (IEEE Trans. Engineering Management, 2021)

Mind the Machines: Applying Implicit Measures of Mind Perception in Social Robotics. - Zhenni Li; Leonie Terfurth; Joshua Pepe Woller; Eva Wiese (HRI, 2022)

Brain Tumor Grading Prediction and Brain Health Management Based on Multi-Physiological Data Fusion. - Xiangrong Han; Binhui Wang; Guoliang Jiao; Liang Wen; Zhenni Li (ICCAI, 2022)

An Intelligent Scoring Method for Sketch Portrait Based on Attention Convolution Neural Network. - Shaolong Zheng; Zewei Xu; Zhenni Li; Yihui Cai; Mingyu Han; Yi Ji (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Wei Han (Appl. Intell., 2022)

A Converged Deep Graph Semi-NMF Algorithm for Learning Data Representation. - Haonan Huang; Zuyuan Yang; Zhenni Li; Weijun Sun (Circuits Syst. Signal Process., 2022)

Structured Sparse Coding With the Group Log-regularizer for Key Frame Extraction. - Zhenni Li; Yujie Li 002; Benying Tan; Shuxue Ding; Shengli Xie (IEEE CAA J. Autom. Sinica, 2022)

Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie (Neurocomputing, 2022)

Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber-Physical Systems. - Minrui Xu; Jialiang Peng; Brij B. Gupta; Jiawen Kang 001; Zehui Xiong; Zhenni Li; Ahmed A. Abd El-Latif 001 (IEEE Internet Things J., 2022)

Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie (Inf. Process. Manag., 2022)

Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT. - Zhenni Li; Wensheng Su; Minrui Xu; Rong Yu 001; Dusit Niyato; Shengli Xie (IEEE J. Sel. Areas Commun., 2022)

Group non-convex sparsity regularized partially shared dictionary learning for multi-view learning. - Haoli Zhao; Peng Zhong; Haiqin Chen; Zhenni Li; Wuhui Chen; Zibin Zheng (Knowl. Based Syst., 2022)

Incomplete Multiview Clustering With Cross-View Feature Transformation. - Naiyao Liang; Zuyuan Yang; Lingjiang Li; Zhenni Li; Shengli Xie (IEEE Trans. Artif. Intell., 2022)

Accelerated Log-Regularized Convolutional Transform Learning and Its Convergence Guarantee. - Zhenni Li; Haoli Zhao; Yongcheng Guo; Zuyuan Yang; Shengli Xie (IEEE Trans. Cybern., 2022)

An Immersive Embodied Interaction Artwork of Cantonese Porcelain. - Yi Ji 001; Shengyang Zhong; Yihui Cai; Junxian Lin; Zhenni Li (CCHI, 2023)

Research on the Design of Building a Personalized Intelligent Art Interaction System from the Perspective of Scenes. - Yihui Cai; Yi Ji; Xudong Cai; Yinghe Xiao; Zhenni Li; Shaolong Zheng (HCI (45), 2023)

What is Your Location Privacy Worth? Monetary Valuation of Different Location Types and Privacy Influencing Factors. - Vera Schmitt; Zhenni Li; Maija Poikela; Robert P. Spang; Sebastian Möller 001 (WISEC, 2023)

Adaptive sparsity-regularized deep dictionary learning based on lifted proximal operator machine. - Zhenni Li; Ying Xie; Kungan Zeng; Shengli Xie; Banage T. G. S. Kumara (Knowl. Based Syst., 2023)

Auto-weighted collective matrix factorization with graph dual regularization for multi-view clustering. - Mingyang Liu 001; Zuyuan Yang; Lingjiang Li; Zhenni Li; Shengli Xie (Knowl. Based Syst., 2023)

Spot Detection for Laser Sensors Based on Annular Convolution Filtering. - Lingjiang Li; Maolin Li; Weijun Sun; Zhenni Li; Zuyuan Yang (Sensors, 2023)

Double Sparse Deep Reinforcement Learning via Multilayer Sparse Coding and Nonconvex Regularized Pruning. - Haoli Zhao; Jiqiang Wu; Zhenni Li; Wuhui Chen; Zibin Zheng (IEEE Trans. Cybern., 2023)

A convergence algorithm for graph co-regularized transfer learning. - Zuyuan Yang; Naiyao Liang; Zhenni Li; Shengli Xie (Sci. China Inf. Sci., 2023)

A DCA-based sparse coding for video summarization with MCP. - Yujie Li 002; Zhenni Li; Benying Tan; Shuxue Ding (IET Image Process., 2023)

Semi-supervised multi-view clustering by label relaxation based non-negative matrix factorization. - Zuyuan Yang; Huimin Zhang; Naiyao Liang; Zhenni Li; Weijun Sun (Vis. Comput., 2023)

Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer. - Zhenni Li; Zuyuan Yang; Haoli Zhao; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dynamic sparse coding-based value estimation network for deep reinforcement learning. - Haoli Zhao; Zhenni Li; Wensheng Su; Shengli Xie (Neural Networks, 2023)

Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering. - Haoli Zhao; Zhenni Li; Wuhui Chen; Zibin Zheng; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dictionary Learning-Structured Reinforcement Learning With Adaptive-Sparsity Regularizer. - Zhenni Li; Jianhao Tang; Haoli Zhao; Ci Chen; Shengli Xie (IEEE Trans. Aerosp. Electron. Syst., 2024)

A Few-Shot Learning-Based Semi-Supervised Method to Enhance NLOS Recognition Accuracy Across Multiple Locations by Cross-Spatiotemporal Information. - Kungan Zeng; Zhenni Li; Shengli Xie; Qianming Wang; Wuhui Chen; Zibin Zheng (IEEE Trans. Instrum. Meas., 2024)

Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise. - Naiyao Liang; Zuyuan Yang; Junhang Chen; Zhenni Li; Shengli Xie (IEEE Trans. Big Data, 2024)

An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments. - Yahang Qin; Zhenni Li; Shengli Xie; Haoli Zhao; Qianming Wang (Sensors, 2024)

Log-Regularized Dictionary-Learning-Based Reinforcement Learning Algorithm for GNSS Positioning Correction. - Jianhao Tang; Xueni Chen; Zhenni Li; Haoli Zhao; Shengli Xie; Kan Xie; Victor Kuzin; Bo Li 034 (IEEE Internet Things J., 2024)

Adaptive Output Synchronization With Designated Convergence Rate of Multiagent Systems Based on Off-Policy Reinforcement Learning. - Chengjie Huang; Ci Chen; Kan Xie; Zhenni Li; Shengli Xie (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Spatiotemporal Information-Driven Cross-Attention Model With Sparse Representation for GNSS NLOS Signal Classification. - Kungan Zeng; Zhenni Li; Haoli Zhao; Kan Xie; Shengli Xie; Dusit Niyato; Wuhui Chen; Zibin Zheng (IEEE Internet Things J., 2024)

Compressing Deep Reinforcement Learning Networks With a Dynamic Structured Pruning Method for Autonomous Driving. - Wensheng Su; Zhenni Li; Minrui Xu; Jiawen Kang 001; Dusit Niyato; Shengli Xie (IEEE Trans. Veh. Technol., 2024)

Mitigating NLOS Interference in GNSS Single-Point Positioning Based on Dual Self-Attention Networks. - Kungan Zeng; Qianming Wang; Jianhao Tang; Zhenni Li; Kan Xie; Shengli Xie (IEEE Internet Things J., 2025)

Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion. - Naiyao Liang; Zuyuan Yang; Wei Han; Zhenni Li; Shengli Xie (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Enhanced Precise Point Positioning Method Based on Intelligent Identification of NLOS Signal. - Qianming Wang; Kan Xie; Zhenni Li; Kungan Zeng; Shengli Xie; Maodeng Li; Banage T. G. S. Kumara (IEEE Internet Things J., 2025)