Peican Zhu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 56

Top Topics

Unsupervised Feature Selection

Influence Maximization

Spectral Embedding

Top Venues

Appl. Math. Comput.

IEEE Trans. Reliab.

Publications

Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian
Reparameterization Head for Efficient Multi-Input Networks. ICASSP (2024)
Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan
Node Injection Attack Based on Label Propagation Against Graph Neural Network. CoRR (2024)
Peican Zhu, Zepeng Fan, Sensen Guo, Keke Tang, Xingyu Li
Improving adversarial transferability through hybrid augmentation. Comput. Secur. 139 (2024)
Zijun Pu, Qunfei Zhang, Yangtao Xue, Peican Zhu, Xiaodong Cui
A Novel Multi-Feature Fusion Model Based on Pre-Trained Wav2vec 2.0 for Underwater Acoustic Target Recognition. Remote. Sens. 16 (13) (2024)
Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. AAAI (2024)
Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang
A General Black-box Adversarial Attack on Graph-based Fake News Detectors. CoRR (2024)
Yang Liu, Yebiao Zhong, Xiaoyu Li, Peican Zhu, Zhen Wang
Vital Nodes Identification via Evolutionary Algorithm With Percolation Optimization in Complex Networks. IEEE Trans. Netw. Sci. Eng. 11 (4) (2024)
Yang Liu, Guangbo Liang, Xi Wang, Peican Zhu, Zhen Wang
Diffusion Containment in Complex Networks Through Collective Influence of Connections. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. CoRR (2024)
Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking. AAAI (2024)
Peican Zhu, Botao Wang, Keke Tang, Haifeng Zhang, Xiaodong Cui, Zhen Wang
A knowledge-guided graph attention network for emotion-cause pair extraction. Knowl. Based Syst. 286 (2024)
Haifeng Zhang, Feng Zhang, Huan Wang, Chuang Ma, Peican Zhu
A novel privacy-preserving graph convolutional network via secure matrix multiplication. Inf. Sci. 657 (2024)
Yang Liu, Guangbo Liang, Xi Wang, Zhuoyu Wang, Peican Zhu, Zhen Wang
Efficient approaches for attaining epidemic-free networks with minimum edge removal set. Commun. Nonlinear Sci. Numer. Simul. 130 (2024)
Sensen Guo, Xiaoyu Li, Peican Zhu, Baocang Wang, Zhiying Mu, Jinxiong Zhao
MixCam-attack: Boosting the transferability of adversarial examples with targeted data augmentation. Inf. Sci. 657 (2024)
Lianbo Ma, Nan Li, Peican Zhu, Keke Tang, Asad Khan, Feng Wang, Guo Yu
A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Jiaheng Hua, Xiaodong Cui, Xianghua Li, Keke Tang, Peican Zhu
Multimodal fake news detection through data augmentation-based contrastive learning. Appl. Soft Comput. 136 (2023)
Xu He, Keke Tang, Yawen Shi, Yin Li, Weilong Peng, Peican Zhu
Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue? SMC (2023)
Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu
Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. KSEM (1) (2023)
Shu Yin, Peican Zhu, Xinyu Wu, Jiajin Huang, Xianghua Li, Zhen Wang, Chao Gao
Integrating information by Kullback-Leibler constraint for text classification. Neural Comput. Appl. 35 (24) (2023)
Peican Zhu, Xin Hou, Keke Tang, Yang Liu, Yin-Ping Zhao, Zhen Wang
Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint. Inf. Sci. 622 (2023)
Keke Tang, Yawen Shi, Tianrui Lou, Weilong Peng, Xu He, Peican Zhu, Zhaoquan Gu, Zhihong Tian
Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds. IEEE Internet Things J. 10 (6, March 15) (2023)
Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu
HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. CIKM (2023)
Zhen Wang, Xiangfeng Dai, Peican Zhu, Rong Wang, Xuelong Li, Feiping Nie
Fast Optimization of Spectral Embedding and Improved Spectral Rotation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Qi Li, Le Cheng, Wei Wang, Xianghua Li, Shudong Li, Peican Zhu
Influence maximization through exploring structural information. Appl. Math. Comput. 442 (2023)
Zepeng Fan, Peican Zhu, Chao Gao, Jinbang Hong, Keke Tang
DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. KSEM (2) (2023)
Shudong Li, Chuanyu Zhao, Qing Li, Jiuming Huang, Dawei Zhao, Peican Zhu
BotFinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection. World Wide Web (WWW) 26 (4) (2023)
Hao Xuan, Peican Zhu, Xingyu Li
Advancing Adversarial Robustness Through Adversarial Logit Update. CoRR (2023)
Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang
Matching Words for Out-of-distribution Detection. ICDM (2023)
Shudong Li, Guojin Zhong, Yanlin Jin, Xiaobo Wu, Peican Zhu, Zhen Wang
A Deceptive Reviews Detection Method Based on Multidimensional Feature Construction and Ensemble Feature Selection. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Sensen Guo, Xiaoyu Li, Peican Zhu, Zhiying Mu
ADS-detector: An attention-based dual stream adversarial example detection method. Knowl. Based Syst. 265 (2023)
Ruoyu Li, Qing Li, Yucheng Huang, Wenbin Zhang, Peican Zhu, Yong Jiang
IoTEnsemble: Detection of Botnet Attacks on Internet of Things. ESORICS (2) (2022)
Jinzhuo Liu, Yunchen Peng, Peican Zhu, Yong Yu
The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation. Entropy 24 (5) (2022)
Peican Zhu, Le Cheng, Chao Gao, Zhen Wang, Xuelong Li
Locating Multi-Sources in Social Networks With a Low Infection Rate. IEEE Trans. Netw. Sci. Eng. 9 (3) (2022)
Caiwei Zhen, Yuxian Wang, Jiaquan Geng, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng
A review and performance evaluation of clustering frameworks for single-cell Hi-C data. Briefings Bioinform. 23 (6) (2022)
Xiaoyu Li, Danyang Jia, Xiaotong Niu, Chen Liu, Peican Zhu, Dujuan Liu, Chen Chu
Ability-based asymmetrical fitness calculation promotes cooperation in spatial prisoner's dilemma game. Appl. Math. Comput. 412 (2022)
Guorui Xie, Qing Li, Chupeng Cui, Peican Zhu, Dan Zhao, Wanxin Shi, Zhuyun Qi, Yong Jiang, Xi Xiao
Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches. SRDS (2022)
Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. CoRR (2022)
Peican Zhu, Xin Hou, Zhen Wang, Feiping Nie
Compactness Score: A Fast Filter Method for Unsupervised Feature Selection. CoRR (2022)
Jinbang Hong, Keke Tang, Chao Gao, Songxin Wang, Sensen Guo, Peican Zhu
GM-Attack: Improving the Transferability of Adversarial Attacks. KSEM (3) (2022)
Haiqiang Wang, Xuyuan Dong, Zheng Luo, Junyou Zhu, Peican Zhu, Chao Gao
Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge. KSEM (2021)
Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu, Chao Gao
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection. KSEM (2021)
Peican Zhu, Xiaoyu Wang, Danyang Jia, Yangming Guo, Shudong Li, Chen Chu
Investigating the co-evolution of node reputation and edge-strategy in prisoner's dilemma game. Appl. Math. Comput. 386 (2020)
Jun Hu, Chengyi Xia, Huijia Li, Peican Zhu, Wenjun Xiong
Properties and structural analyses of USA's regional electricity market: A visibility graph network approach. Appl. Math. Comput. 385 (2020)
Ping Hou, Jun Hu, Jie Gao, Peican Zhu
Stability Analysis for Memristor-Based Complex-Valued Neural Networks with Time Delays. Entropy 21 (2) (2019)
Peican Zhu, Qiang Zhi, Yangming Guo, Zhen Wang
Analysis of Epidemic Spreading Process in Adaptive Networks. IEEE Trans. Circuits Syst. II Express Briefs (7) (2019)
Xiangfeng Dai, Peican Zhu, Yangming Guo, Zhen Wang
Coevolution of Vaccination Opinions and Awareness Affecting the Spread of Epidemics. IEEE Access 7 (2019)
Peican Zhu, Qiang Zhi, Zhen Wang, Yangming Guo
Stochastic Analysis and Optimal Design of Majority Systems. IEEE Trans. Circuits Syst. II Express Briefs (1) (2019)
Peican Zhu, Xinyu Wang, Shudong Li, Yangming Guo, Zhen Wang
Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties. Appl. Math. Comput. 359 (2019)
Peican Zhu, Ruoning Lv, Yangming Guo, Shubin Si
Optimal Design of Redundant Structures by Incorporating Various Costs. IEEE Trans. Reliab. 67 (3) (2018)
Peican Zhu, Xiaogang Song, Leibo Liu, Zhen Wang, Jie Han
Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation. IEEE Access 6 (2018)
Xiaogang Song, Zhengjun Zhai, Ruoning Lv, Yangming Guo, Peican Zhu
Optimal Design of the k-Out-of-n: G (F) Majority Voter. IEEE Access 5 (2017)
Peican Zhu, Yangming Guo, Fabrizio Lombardi, Jie Han
Approximate reliability of multi-state two-terminal networks by stochastic analysis. IET Networks 6 (5) (2017)
Xiaogang Song, Zhengjun Zhai, Peican Zhu, Jie Han
A Stochastic Computational Approach for the Analysis of Fuzzy Systems. IEEE Access 5 (2017)
Peican Zhu, Jie Han, Yangming Guo, Fabrizio Lombardi
Reliability and Criticality Analysis of Communication Networks by Stochastic Computation. IEEE Netw. 30 (6) (2016)
Xiaoping Yang, Zhongxia Zhang, Zhong-qiu Zhang, Yuting Mo, Lianbei Li, Li Yu, Peican Zhu
Automatic Construction and Global Optimization of a Multisentiment Lexicon. Comput. Intell. Neurosci. 2016 (2016)
Peican Zhu, Jie Han, Leibo Liu, Fabrizio Lombardi
Reliability Evaluation of Phased-Mission Systems Using Stochastic Computation. IEEE Trans. Reliab. 65 (3) (2016)
Peican Zhu, Jie Han, Leibo Liu, Fabrizio Lombardi
A Stochastic Approach for the Analysis of Dynamic Fault Trees With Spare Gates Under Probabilistic Common Cause Failures. IEEE Trans. Reliab. 64 (3) (2015)
Peican Zhu, Jie Han, Leibo Liu, Ming Jian Zuo
A Stochastic Approach for the Analysis of Fault Trees With Priority AND Gates. IEEE Trans. Reliab. 63 (2) (2014)
Peican Zhu, Jinghang Liang, Jie Han
Gene perturbation and intervention in context-sensitive stochastic Boolean networks. BMC Syst. Biol. 8 (2014)
Peican Zhu, Jie Han
Asynchronous Stochastic Boolean Networks as Gene Network Models. J. Comput. Biol. 21 (10) (2014)
Peican Zhu, Jie Han
Stochastic Multiple-Valued Gene Networks. IEEE Trans. Biomed. Circuits Syst. 8 (1) (2014)
Jie Han, Hao Chen, Jinghang Liang, Peican Zhu, Zhixi Yang, Fabrizio Lombardi
A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation. IEEE Trans. Computers 63 (6) (2014)