Peican Zhu

According to our database, Peican Zhu authored at least 67 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning.

Tong Li, Chenjia Bai, Kang Xu, Chen Chu, Peican Zhu, Zhen Wang

Neural Networks, 2025

2024

A Heuristic Framework for Sources Detection in Social Networks via Graph Convolutional Networks.

Le Cheng, Peican Zhu, Chao Gao, Zhen Wang, Xuelong Li

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Node Injection Attack Based on Label Propagation Against Graph Neural Network.

Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan

IEEE Trans. Comput. Soc. Syst., October, 2024

Simplex Pattern Prediction Based on Dynamic Higher Order Path Convolutional Networks.

Jianrui Chen, Meixia He, Peican Zhu, Zhihui Wang

IEEE Trans. Comput. Soc. Syst., October, 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., July, 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, Guo Yu

IEEE Trans. Fuzzy Syst., May, 2024

Efficient approaches for attaining epidemic-free networks with minimum edge removal set.

Yang Liu, Guangbo Liang, Xi Wang, Zhuoyu Wang, Peican Zhu, Zhen Wang

Commun. Nonlinear Sci. Numer. Simul., March, 2024

A novel privacy-preserving graph convolutional network via secure matrix multiplication.

Haifeng Zhang, Feng Zhang, Huan Wang, Chuang Ma, Peican Zhu

Inf. Sci., February, 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., February, 2024

Vital Nodes Identification via Evolutionary Algorithm With Percolation Optimization in Complex Networks.

Yang Liu, Yebiao Zhong, Xiaoyu Li, Peican Zhu, Zhen Wang

IEEE Trans. Netw. Sci. Eng., 2024

Diffusion Containment in Complex Networks Through Collective Influence of Connections.

Yang Liu, Guangbo Liang, Xi Wang, Peican Zhu, Zhen Wang

IEEE Trans. Inf. Forensics Secur., 2024

A knowledge-guided graph attention network for emotion-cause pair extraction.

Peican Zhu, Botao Wang, Keke Tang, Haifeng Zhang, Xiaodong Cui, Zhen Wang

Knowl. Based Syst., 2024

Improving adversarial transferability through hybrid augmentation.

Peican Zhu, Zepeng Fan, Sensen Guo, Keke Tang, Xingyu Li

Comput. Secur., 2024

SymAttack: Symmetry-aware Imperceptible Adversarial Attacks on 3D Point Clouds.

Keke Tang, Zhensu Wang, Weilong Peng, Lujie Huang, Le Wang, Peican Zhu, Wenping Wang, Zhihong Tian

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A General Black-box Adversarial Attack on Graph-based Fake News Detectors.

Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Successful Strategy for Multichannel Iterated Prisoner's Dilemma.

Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reparameterization Head for Efficient Multi-Input Networks.

Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian

Proceedings of the IEEE International Conference on Acoustics, 2024

Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning.

Botao Wang, Keke Tang, Peican Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CORES: Convolutional Response-based Score for Out-of-distribution Detection.

Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking.

Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Integrating information by Kullback-Leibler constraint for text classification.

Shu Yin, Peican Zhu, Xinyu Wu, Jiajin Huang, Xianghua Li, Zhen Wang, Chao Gao

Neural Comput. Appl., August, 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, Jiuming Huang, Dawei Zhao, Peican Zhu

World Wide Web (WWW), July, 2023

ADS-detector: An attention-based dual stream adversarial example detection method.

Sensen Guo, Xiaoyu Li, Peican Zhu, Zhiying Mu

Knowl. Based Syst., April, 2023

Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint.

Peican Zhu, Xin Hou, Keke Tang, Yang Liu, Yin-Ping Zhao, Zhen Wang

Inf. Sci., April, 2023

Multimodal fake news detection through data augmentation-based contrastive learning.

Jiaheng Hua, Xiaodong Cui, Xianghua Li, Keke Tang, Peican Zhu

Appl. Soft Comput., March, 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

IEEE Trans. Comput. Soc. Syst., February, 2023

Fast Optimization of Spectral Embedding and Improved Spectral Rotation.

Zhen Wang, Xiangfeng Dai, Peican Zhu, Rong Wang, Xuelong Li, Feiping Nie

IEEE Trans. Knowl. Data Eng., 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

Advancing Adversarial Robustness Through Adversarial Logit Update.

Hao Xuan, Peican Zhu, Xingyu Li

CoRR, 2023

Influence maximization through exploring structural information.

Qi Li, Le Cheng, Wei Wang, Xianghua Li, Shudong Li, Peican Zhu

Appl. Math. Comput., 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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training.

Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu

Proceedings of the Knowledge Science, Engineering and Management, 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

Proceedings of the Knowledge Science, Engineering and Management, 2023

Matching Words for Out-of-distribution Detection.

Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets.

Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Locating Multi-Sources in Social Networks With a Low Infection Rate.

Peican Zhu, Le Cheng, Chao Gao, Zhen Wang, Xuelong Li

IEEE Trans. Netw. Sci. Eng., 2022

The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation.

Jinzhuo Liu, Yunchen Peng, Peican Zhu, Yong Yu

Entropy, 2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.

Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu

CoRR, 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, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng

Briefings Bioinform., 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

Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches.

Guorui Xie, Qing Li, Chupeng Cui, Peican Zhu, Dan Zhao, Wanxin Shi, Zhuyun Qi, Yong Jiang, Xi Xiao

Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

GM-Attack: Improving the Transferability of Adversarial Attacks.

Jinbang Hong, Keke Tang, Chao Gao, Songxin Wang, Sensen Guo, Peican Zhu

Proceedings of the Knowledge Science, Engineering and Management, 2022

IoTEnsemble: Detection of Botnet Attacks on Internet of Things.

Ruoyu Li, Qing Li, Yucheng Huang, Wenbin Zhang, Peican Zhu, Yong Jiang

Proceedings of the Computer Security - ESORICS 2022, 2022

2021

A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection.

Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu, Chao Gao

Proceedings of the Knowledge Science, Engineering and Management, 2021

Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge.

Haiqiang Wang, Xuyuan Dong, Zheng Luo, Junyou Zhu, Peican Zhu, Chao Gao

Proceedings of the Knowledge Science, Engineering and Management, 2021

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

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

2019

Stochastic Analysis and Optimal Design of Majority Systems.

Peican Zhu, Qiang Zhi, Zhen Wang, Yangming Guo

IEEE Trans. Circuits Syst. II Express Briefs, 2019

Analysis of Epidemic Spreading Process in Adaptive Networks.

Peican Zhu, Qiang Zhi, Yangming Guo, Zhen Wang

IEEE Trans. Circuits Syst. II Express Briefs, 2019

Stability Analysis for Memristor-Based Complex-Valued Neural Networks with Time Delays.

Ping Hou, Jun Hu, Jie Gao, Peican Zhu

Entropy, 2019

Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties.

Peican Zhu, Xinyu Wang, Shudong Li, Yangming Guo, Zhen Wang

Appl. Math. Comput., 2019

Coevolution of Vaccination Opinions and Awareness Affecting the Spread of Epidemics.

Xiangfeng Dai, Peican Zhu, Yangming Guo, Zhen Wang

IEEE Access, 2019

2018

Optimal Design of Redundant Structures by Incorporating Various Costs.

Peican Zhu, Ruoning Lv, Yangming Guo, Shubin Si

IEEE Trans. Reliab., 2018

Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation.

Peican Zhu, Xiaogang Song, Leibo Liu, Zhen Wang, Jie Han

IEEE Access, 2018

2017

Approximate reliability of multi-state two-terminal networks by stochastic analysis.

Peican Zhu, Yangming Guo, Fabrizio Lombardi, Jie Han

IET Networks, 2017

A Stochastic Computational Approach for the Analysis of Fuzzy Systems.

Xiaogang Song, Zhengjun Zhai, Peican Zhu, Jie Han

IEEE Access, 2017

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

2016

Reliability Evaluation of Phased-Mission Systems Using Stochastic Computation.

Peican Zhu, Jie Han, Leibo Liu, Fabrizio Lombardi

IEEE Trans. Reliab., 2016

Reliability and Criticality Analysis of Communication Networks by Stochastic Computation.

Peican Zhu, Jie Han, Yangming Guo, Fabrizio Lombardi

IEEE Netw., 2016

Automatic Construction and Global Optimization of a Multisentiment Lexicon.

Xiaoping Yang, Zhongxia Zhang, Zhong-qiu Zhang, Yuting Mo, Lianbei Li, Li Yu, Peican Zhu

Comput. Intell. Neurosci., 2016

2015

A Stochastic Approach for the Analysis of Dynamic Fault Trees With Spare Gates Under Probabilistic Common Cause Failures.

Peican Zhu, Jie Han, Leibo Liu, Fabrizio Lombardi

IEEE Trans. Reliab., 2015

2014

A Stochastic Approach for the Analysis of Fault Trees With Priority AND Gates.

Peican Zhu, Jie Han, Leibo Liu, Ming Jian Zuo

IEEE Trans. Reliab., 2014

A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation.

Jie Han, Hao Chen, Jinghang Liang, Peican Zhu, Zhixi Yang, Fabrizio Lombardi

IEEE Trans. Computers, 2014

Stochastic Multiple-Valued Gene Networks.

Peican Zhu, Jie Han

IEEE Trans. Biomed. Circuits Syst., 2014

Asynchronous Stochastic Boolean Networks as Gene Network Models.

Peican Zhu, Jie Han

J. Comput. Biol., 2014

Gene perturbation and intervention in context-sensitive stochastic Boolean networks.

Peican Zhu, Jinghang Liang, Jie Han

BMC Syst. Biol., 2014