Gene perturbation and intervention in context-sensitive stochastic Boolean networks. - Peican Zhu; Jinghang Liang; Jie Han 001 (BMC Syst. Biol., 2014)

Asynchronous Stochastic Boolean Networks as Gene Network Models. - Peican Zhu; Jie Han 001 (J. Comput. Biol., 2014)

Stochastic Multiple-Valued Gene Networks. - Peican Zhu; Jie Han 001 (IEEE Trans. Biomed. Circuits Syst., 2014)

A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation. - Jie Han 001; Hao Chen; Jinghang Liang; Peican Zhu; Zhixi Yang; Fabrizio Lombardi (IEEE Trans. Computers, 2014)

A Stochastic Approach for the Analysis of Fault Trees With Priority AND Gates. - Peican Zhu; Jie Han 001; Leibo Liu; Ming Jian Zuo (IEEE Trans. Reliab., 2014)

A Stochastic Approach for the Analysis of Dynamic Fault Trees With Spare Gates Under Probabilistic Common Cause Failures. - Peican Zhu; Jie Han 001; Leibo Liu; Fabrizio Lombardi (IEEE Trans. Reliab., 2015)

Automatic Construction and Global Optimization of a Multisentiment Lexicon. - Xiaoping Yang; Zhongxia Zhang; Zhong-qiu Zhang; Yuting Mo; Lianbei Li; Li Yu 002; Peican Zhu (Comput. Intell. Neurosci., 2016)

Reliability and Criticality Analysis of Communication Networks by Stochastic Computation. - Peican Zhu; Jie Han 001; Yangming Guo; Fabrizio Lombardi (IEEE Netw., 2016)

Reliability Evaluation of Phased-Mission Systems Using Stochastic Computation. - Peican Zhu; Jie Han 001; Leibo Liu; Fabrizio Lombardi (IEEE Trans. Reliab., 2016)

Optimal Design of the k-Out-of-n: G (F) Majority Voter. - Xiaogang Song; Zhengjun Zhai; Ruoning Lv; Yangming Guo; Peican Zhu (IEEE Access, 2017)

A Stochastic Computational Approach for the Analysis of Fuzzy Systems. - Xiaogang Song; Zhengjun Zhai; Peican Zhu; Jie Han 001 (IEEE Access, 2017)

Approximate reliability of multi-state two-terminal networks by stochastic analysis. - Peican Zhu; Yangming Guo; Fabrizio Lombardi; Jie Han 001 (IET Networks, 2017)

Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation. - Peican Zhu; Xiaogang Song; Leibo Liu; Zhen Wang 004; Jie Han 001 (IEEE Access, 2018)

Optimal Design of Redundant Structures by Incorporating Various Costs. - Peican Zhu; Ruoning Lv; Yangming Guo; Shubin Si (IEEE Trans. Reliab., 2018)

Coevolution of Vaccination Opinions and Awareness Affecting the Spread of Epidemics. - Xiangfeng Dai; Peican Zhu; Yangming Guo; Zhen Wang 004 (IEEE Access, 2019)

Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties. - Peican Zhu; Xinyu Wang 022; Shudong Li; Yangming Guo; Zhen Wang 004 (Appl. Math. Comput., 2019)

Stability Analysis for Memristor-Based Complex-Valued Neural Networks with Time Delays. - Ping Hou; Jun Hu; Jie Gao; Peican Zhu (Entropy, 2019)

Analysis of Epidemic Spreading Process in Adaptive Networks. - Peican Zhu; Qiang Zhi; Yangming Guo; Zhen Wang 004 (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Stochastic Analysis and Optimal Design of Majority Systems. - Peican Zhu; Qiang Zhi; Zhen Wang 004; Yangming Guo (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Properties and structural analyses of USA's regional electricity market: A visibility graph network approach. - Jun Hu; Chengyi Xia; Huijia Li; Peican Zhu; Wenjun Xiong (Appl. Math. Comput., 2020)

Investigating the co-evolution of node reputation and edge-strategy in prisoner's dilemma game. - Peican Zhu; Xiaoyu Wang; Danyang Jia; Yangming Guo; Shudong Li; Chen Chu (Appl. Math. Comput., 2020)

Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge. - Haiqiang Wang; Xuyuan Dong; Zheng Luo; Junyou Zhu; Peican Zhu; Chao Gao (KSEM, 2021)

A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection. - Ze Yin; Yue Deng 003; Fan Zhang 094; Zheng Luo; Peican Zhu; Chao Gao (KSEM, 2021)

IoTEnsemble: Detection of Botnet Attacks on Internet of Things. - Ruoyu Li 003; Qing Li 006; Yucheng Huang; Wenbin Zhang; Peican Zhu; Yong Jiang 001 (ESORICS (2), 2022)

GM-Attack: Improving the Transferability of Adversarial Attacks. - Jinbang Hong; Keke Tang; Chao Gao; Songxin Wang; Sensen Guo; Peican Zhu (KSEM (3), 2022)

Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches. - Guorui Xie; Qing Li 006; Chupeng Cui; Peican Zhu; Dan Zhao 003; Wanxin Shi; Zhuyun Qi; Yong Jiang 001; Xi Xiao (SRDS, 2022)

Ability-based asymmetrical fitness calculation promotes cooperation in spatial prisoner's dilemma game. - Xiaoyu Li; Danyang Jia; Xiaotong Niu; Chen Liu; Peican Zhu; Dujuan Liu; Chen Chu (Appl. Math. Comput., 2022)

A review and performance evaluation of clustering frameworks for single-cell Hi-C data. - Caiwei Zhen; Yuxian Wang; Jiaquan Geng; Lu Han; Jingyi Li; Jinghao Peng; Tao Wang 082; Jianye Hao; Xuequn Shang 001; Zhongyu Wei; Peican Zhu; Jiajie Peng (Briefings Bioinform., 2022)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Di Jin 001; Cuiying Huo; Jianwu Dang 001; Peican Zhu; Weixiong Zhang; Witold Pedrycz; Lingfei Wu 001 (CoRR, 2022)

The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation. - Jinzhuo Liu; Yunchen Peng; Peican Zhu; Yong Yu 009 (Entropy, 2022)

Locating Multi-Sources in Social Networks With a Low Infection Rate. - Peican Zhu; Le Cheng; Chao Gao; Zhen Wang 004; Xuelong Li 001 (IEEE Trans. Netw. Sci. Eng., 2022)

HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. - Qi Li; Xingyu Li; Xiaodong Cui; Keke Tang; Peican Zhu (CIKM, 2023)

Matching Words for Out-of-distribution Detection. - Keke Tang; Xujian Cai; Weilong Peng; Daizong Liu; Peican Zhu; Pan Zhou 001; Zhihong Tian; Wenping Wang 001 (ICDM, 2023)

DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. - Zepeng Fan; Peican Zhu; Chao Gao; Jinbang Hong; Keke Tang (KSEM (2), 2023)

Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. - Keke Tang; Tianrui Lou; Xu He; Yawen Shi; Peican Zhu; Zhaoquan Gu (KSEM (1), 2023)

Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue? - Xu He; Keke Tang; Yawen Shi; Yin Li; Weilong Peng; Peican Zhu (SMC, 2023)

Influence maximization through exploring structural information. - Qi Li; Le Cheng; Wei Wang 070; Xianghua Li; Shudong Li; Peican Zhu (Appl. Math. Comput., 2023)

Advancing Adversarial Robustness Through Adversarial Logit Update. - Hao Xuan; Peican Zhu; Xingyu Li (CoRR, 2023)

Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds. - Keke Tang; Yawen Shi; Tianrui Lou; Weilong Peng; Xu He; Peican Zhu; Zhaoquan Gu; Zhihong Tian (IEEE Internet Things J., 2023)

Fast Optimization of Spectral Embedding and Improved Spectral Rotation. - Zhen Wang 004; Xiangfeng Dai; Peican Zhu; Rong Wang 001; Xuelong Li 001; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Deceptive Reviews Detection Method Based on Multidimensional Feature Construction and Ensemble Feature Selection. - Shudong Li; Guojin Zhong; Yanlin Jin; Xiaobo Wu; Peican Zhu; Zhen Wang 004 (IEEE Trans. Comput. Soc. Syst., 2023)

Multimodal fake news detection through data augmentation-based contrastive learning. - Jiaheng Hua; Xiaodong Cui; Xianghua Li; Keke Tang; Peican Zhu (Appl. Soft Comput., 2023)

Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint. - Peican Zhu; Xin Hou; Keke Tang; Yang Liu 144; Yin-Ping Zhao; Zhen Wang 004 (Inf. Sci., 2023)

ADS-detector: An attention-based dual stream adversarial example detection method. - Sensen Guo; Xiaoyu Li; Peican Zhu; Zhiying Mu (Knowl. Based Syst., 2023)

BotFinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection. - Shudong Li; Chuanyu Zhao; Qing Li 006; Jiuming Huang; Dawei Zhao 001; Peican Zhu (World Wide Web (WWW), 2023)

Integrating information by Kullback-Leibler constraint for text classification. - Shu Yin 003; Peican Zhu; Xinyu Wu; Jiajin Huang; Xianghua Li; Zhen Wang 004; Chao Gao (Neural Comput. Appl., 2023)

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. - Le Cheng; Peican Zhu; Keke Tang; Chao Gao; Zhen Wang 004 (AAAI, 2024)

GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking. - Shu Yin 003; Peican Zhu; Lianwei Wu; Chao Gao; Zhen Wang 004 (AAAI, 2024)

MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion. - Manman Yuan; Weiming Jia; Xiong Luo; Jiazhen Ye; Peican Zhu; Junlin Li (BIBM, 2024)

CORES: Convolutional Response-based Score for Out-of-distribution Detection. - Keke Tang; Chao Hou; Weilong Peng; Runnan Chen; Peican Zhu; Wenping Wang 001; Zhihong Tian (CVPR, 2024)

Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning. - Botao Wang; Keke Tang; Peican Zhu (EMNLP (Findings), 2024)

Reparameterization Head for Efficient Multi-Input Networks. - Keke Tang; Wenyu Zhao; Weilong Peng; Xiang Fang; Xiaodong Cui; Peican Zhu; Zhihong Tian (ICASSP, 2024)

A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. - Zhen Wang 004; Zhaoheng Cao; Juan Shi; Peican Zhu; Shuyue Hu; Chen Chu (IJCAI, 2024)

A General Black-box Adversarial Attack on Graph-based Fake News Detectors. - Peican Zhu; Zechen Pan; Yang Liu 144; Jiwei Tian; Keke Tang; Zhen Wang 004 (IJCAI, 2024)

SymAttack: Symmetry-aware Imperceptible Adversarial Attacks on 3D Point Clouds. - Keke Tang; Zhensu Wang; Weilong Peng; Lujie Huang; Le Wang 008; Peican Zhu; Wenping Wang 001; Zhihong Tian (ACM Multimedia, 2024)

Improving adversarial transferability through hybrid augmentation. - Peican Zhu; Zepeng Fan; Sensen Guo; Keke Tang; Xingyu Li (Comput. Secur., 2024)

A knowledge-guided graph attention network for emotion-cause pair extraction. - Peican Zhu; Botao Wang; Keke Tang; Haifeng Zhang 003; Xiaodong Cui; Zhen Wang 004 (Knowl. Based Syst., 2024)

Diffusion Containment in Complex Networks Through Collective Influence of Connections. - Yang Liu 144; Guangbo Liang; Xi Wang 013; Peican Zhu; Zhen Wang 004 (IEEE Trans. Inf. Forensics Secur., 2024)

Vital Nodes Identification via Evolutionary Algorithm With Percolation Optimization in Complex Networks. - Yang Liu 144; Yebiao Zhong; Xiaoyu Li; Peican Zhu; Zhen Wang 004 (IEEE Trans. Netw. Sci. Eng., 2024)

MixCam-attack: Boosting the transferability of adversarial examples with targeted data augmentation. - Sensen Guo; Xiaoyu Li; Peican Zhu; Baocang Wang; Zhiying Mu; Jinxiong Zhao (Inf. Sci., 2024)

A novel privacy-preserving graph convolutional network via secure matrix multiplication. - Haifeng Zhang 003; Feng Zhang; Huan Wang; Chuang Ma; Peican Zhu (Inf. Sci., 2024)

Efficient approaches for attaining epidemic-free networks with minimum edge removal set. - Yang Liu 144; Guangbo Liang; Xi Wang 013; Zhuoyu Wang; Peican Zhu; Zhen Wang 004 (Commun. Nonlinear Sci. Numer. Simul., 2024)

A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties. - Lianbo Ma; Nan Li; Peican Zhu; Keke Tang; Asad Khan; Feng Wang 048; Guo Yu 001 (IEEE Trans. Fuzzy Syst., 2024)

A Novel Multi-Feature Fusion Model Based on Pre-Trained Wav2vec 2.0 for Underwater Acoustic Target Recognition. - Zijun Pu; Qunfei Zhang; Yangtao Xue; Peican Zhu; Xiaodong Cui (Remote. Sens., 2024)

Simplex Pattern Prediction Based on Dynamic Higher Order Path Convolutional Networks. - Jianrui Chen; Meixia He; Peican Zhu; Zhihui Wang 002 (IEEE Trans. Comput. Soc. Syst., 2024)

Node Injection Attack Based on Label Propagation Against Graph Neural Network. - Peican Zhu; Zechen Pan; Keke Tang; Xiaodong Cui; Jinhuan Wang; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

A Heuristic Framework for Sources Detection in Social Networks via Graph Convolutional Networks. - Le Cheng; Peican Zhu; Chao Gao; Zhen Wang 004; Xuelong Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges. - Meixia He; Peican Zhu; Keke Tang; Yangming Guo (AAAI, 2025)

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field. - Keke Tang; Weiyao Ke; Weilong Peng; Xiaofei Wang; Ziyong Du; Zhize Wu; Peican Zhu; Zhihong Tian (ICASSP, 2025)

Attribute-Based Out-of-Distribution Detection Using LLaVA. - Daojie Zhao; Chao Hou; Yongwei Nie; Peican Zhu; Keke Tang (ICIC (19), 2025)

EIA: Edge-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. - Zhensu Wang; Weilong Peng; Le Wang 008; Zhizhe Wu; Peican Zhu; Keke Tang (MMM (1), 2025)

Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning. - Tong Li; Chenjia Bai; Kang Xu; Chen Chu; Peican Zhu; Zhen Wang 004 (Neural Networks, 2025)

Deep Spectral Clustering With Projected Adaptive Feature Selection. - Yang Zhao 021; Zixuan Bi; Peican Zhu; Aihong Yuan; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Efficient Source Detection in Incomplete Networks via Sensor Deployment and Source Approaching. - Le Cheng; Peican Zhu; Keke Tang; Chao Gao; Zhen Wang 004 (IEEE Trans. Inf. Forensics Secur., 2025)

SDSI: Source Detection in Structurally Incomplete Social Networks. - Le Cheng; Peican Zhu; Chao Gao; Zhen Wang 004; Xuelong Li 001 (IEEE Trans. Netw. Sci. Eng., 2025)

EOOD: Entropy-based Out-of-distribution Detection. - Guide Yang; Chao Hou; Weilong Peng; Xiang Fang; Yongwei Nie; Peican Zhu; Keke Tang (CoRR, 2025)

Compactness score: a fast filter method for unsupervised feature selection. - Peican Zhu; Xin Hou; Keke Tang; Zhen Wang 004; Feiping Nie 001 (Ann. Oper. Res., 2025)

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion. - Le Cheng; Peican Zhu; Yangming Guo; Keke Tang; Chao Gao; Zhen Wang 004 (CoRR, 2025)

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs. - Le Cheng; Peican Zhu; Yangming Guo; Chao Gao; Zhen Wang 004; Keke Tang (CoRR, 2025)

Dynamic Quasi-Hyperbolic Momentum Iterative Attack With Small Perturbation for 4D-Flight Trajectory Prediction. - Zhengyang Zhao 002; Buhong Wang; Xuan Yao; Jiwei Tian; Ruochen Dong; Peican Zhu (IEEE Internet Things J., 2025)

VaVLM: Toward Efficient Edge-Cloud Video Analytics With Vision-Language Models. - Yang Zhang; Hanling Wang; Qing Bai; Hai-Feng Liang; Peican Zhu; Gabriel-Miro Muntean; Qing Li 006 (IEEE Trans. Broadcast., 2025)

Cage-Based Deformation for Transferable and Undefendable Point Cloud Attack. - Keke Tang; Ziyong Du; Weilong Peng; Xiaofei Wang; Peican Zhu; Ligang Liu 001; Zhihong Tian (CoRR, 2025)

KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection. - Peican Zhu; Yubo Jing; Le Cheng; Keke Tang; Yangming Guo (CoRR, 2025)

SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection. - Peican Zhu; Yubo Jing; Le Cheng; Bin Chen; Xiaodong Cui; Lianwei Wu; Keke Tang (CoRR, 2025)

Transferable and Undefendable Point Cloud Attacks via Medial Axis Transform. - Keke Tang; Yuze Gao; Weilong Peng; Xiaofei Wang; Meie Fang; Peican Zhu (CoRR, 2025)