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2020 – today
- 2025
[j47]Tong Li, Chenjia Bai
, Kang Xu, Chen Chu, Peican Zhu, Zhen Wang:
Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning. Neural Networks 181: 106852 (2025)- 2024
- [j46]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: 107753 (2024) - [j45]Peican Zhu, Zepeng Fan, Sensen Guo, Keke Tang, Xingyu Li:
Improving adversarial transferability through hybrid augmentation. Comput. Secur. 139: 103674 (2024) - [j44]Haifeng Zhang, Feng Zhang, Huan Wang, Chuang Ma, Peican Zhu:
A novel privacy-preserving graph convolutional network via secure matrix multiplication. Inf. Sci. 657: 119897 (2024) - [j43]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: 119918 (2024) - [j42]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: 111342 (2024) - [j41]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): 2442 (2024) - [j40]Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan:
Node Injection Attack Based on Label Propagation Against Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 11(5): 5858-5870 (2024) - [j39]Jianrui Chen, Meixia He, Peican Zhu, Zhihui Wang:
Simplex Pattern Prediction Based on Dynamic Higher Order Path Convolutional Networks. IEEE Trans. Comput. Soc. Syst. 11(5): 6623-6636 (2024) - [j38]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): 3274-3285 (2024) - [j37]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: 1510-1524 (2024) - [j36]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): 3838-3850 (2024) - [j35]Le Cheng, Peican Zhu, Chao Gao, Zhen Wang, Xuelong Li:
A Heuristic Framework for Sources Detection in Social Networks via Graph Convolutional Networks. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 7002-7014 (2024) - [c18]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: 55-63 - [c17]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: 347-355 - [c16]Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian:
CORES: Convolutional Response-based Score for Out-of-distribution Detection. CVPR 2024: 10916-10925 - [c15]Botao Wang, Keke Tang, Peican Zhu:
Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning. EMNLP (Findings) 2024: 10773-10783 - [c14]Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian:
Reparameterization Head for Efficient Multi-Input Networks. ICASSP 2024: 6190-6194 - [c13]Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu:
A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. IJCAI 2024: 274-282 - [c12]Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang:
A General Black-box Adversarial Attack on Graph-based Fake News Detectors. IJCAI 2024: 568-576 - [c11]Keke Tang, Zhensu Wang, Weilong Peng, Lujie Huang, Le Wang, Peican Zhu, Wenping Wang, Zhihong Tian:
SymAttack: Symmetry-aware Imperceptible Adversarial Attacks on 3D Point Clouds. ACM Multimedia 2024: 3131-3140 - [i5]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 abs/2403.00014 (2024) - [i4]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 abs/2404.15744 (2024) - [i3]Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan:
Node Injection Attack Based on Label Propagation Against Graph Neural Network. CoRR abs/2405.18824 (2024) - 2023
- [j34]Qi Li, Le Cheng, Wei Wang, Xianghua Li, Shudong Li, Peican Zhu:
Influence maximization through exploring structural information. Appl. Math. Comput. 442: 127721 (2023) - [j33]Jiaheng Hua, Xiaodong Cui, Xianghua Li, Keke Tang, Peican Zhu:
Multimodal fake news detection through data augmentation-based contrastive learning. Appl. Soft Comput. 136: 110125 (2023) - [j32]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): 5158-5169 (2023) - [j31]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: 68-82 (2023) - [j30]Sensen Guo, Xiaoyu Li, Peican Zhu, Zhiying Mu:
ADS-detector: An attention-based dual stream adversarial example detection method. Knowl. Based Syst. 265: 110388 (2023) - [j29]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): 17521-17535 (2023) - [j28]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): 153-165 (2023) - [j27]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): 1515-1527 (2023) - [j26]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): 1793-1809 (2023) - [c10]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: 4064-4068 - [c9]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: 578-587 - [c8]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: 276-288 - [c7]Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu:
Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. KSEM (1) 2023: 328-342 - [c6]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: 2620-2627 - [i2]Hao Xuan, Peican Zhu, Xingyu Li:
Advancing Adversarial Robustness Through Adversarial Logit Update. CoRR abs/2308.15072 (2023) - 2022
- [j25]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: 126572 (2022) - [j24]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) - [j23]Jinzhuo Liu, Yunchen Peng, Peican Zhu, Yong Yu:
The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation. Entropy 24(5): 694 (2022) - [j22]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): 1853-1865 (2022) - [c5]Ruoyu Li, Qing Li, Yucheng Huang, Wenbin Zhang, Peican Zhu, Yong Jiang:
IoTEnsemble: Detection of Botnet Attacks on Internet of Things. ESORICS (2) 2022: 569-588 - [c4]Jinbang Hong, Keke Tang, Chao Gao, Songxin Wang, Sensen Guo, Peican Zhu:
GM-Attack: Improving the Transferability of Adversarial Attacks. KSEM (3) 2022: 489-500 - [c3]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: 225-236 - [i1]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 abs/2205.00256 (2022) - 2021
- [c2]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: 179-190 - [c1]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: 311-322 - 2020
- [j21]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: 125434 (2020) - [j20]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: 125474 (2020)
2010 – 2019
- 2019
- [j19]Xiangfeng Dai, Peican Zhu, Yangming Guo, Zhen Wang:
Coevolution of Vaccination Opinions and Awareness Affecting the Spread of Epidemics. IEEE Access 7: 61558-61569 (2019) - [j18]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: 512-524 (2019) - [j17]Ping Hou, Jun Hu, Jie Gao, Peican Zhu:
Stability Analysis for Memristor-Based Complex-Valued Neural Networks with Time Delays. Entropy 21(2): 120 (2019) - [j16]Peican Zhu, Qiang Zhi, Zhen Wang, Yangming Guo:
Stochastic Analysis and Optimal Design of Majority Systems. IEEE Trans. Circuits Syst. II Express Briefs 66-II(1): 131-135 (2019) - [j15]Peican Zhu, Qiang Zhi, Yangming Guo, Zhen Wang:
Analysis of Epidemic Spreading Process in Adaptive Networks. IEEE Trans. Circuits Syst. II Express Briefs 66-II(7): 1252-1256 (2019) - 2018
- [j14]Peican Zhu, Xiaogang Song, Leibo Liu, Zhen Wang, Jie Han:
Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation. IEEE Access 6: 35292-35304 (2018) - [j13]Peican Zhu, Ruoning Lv, Yangming Guo, Shubin Si:
Optimal Design of Redundant Structures by Incorporating Various Costs. IEEE Trans. Reliab. 67(3): 1084-1095 (2018) - 2017
- [j12]Xiaogang Song, Zhengjun Zhai, Peican Zhu, Jie Han:
A Stochastic Computational Approach for the Analysis of Fuzzy Systems. IEEE Access 5: 13465-13477 (2017) - [j11]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: 22647-22656 (2017) - [j10]Peican Zhu, Yangming Guo, Fabrizio Lombardi, Jie Han:
Approximate reliability of multi-state two-terminal networks by stochastic analysis. IET Networks 6(5): 116-124 (2017) - 2016
- [j9]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: 2093406:1-2093406:8 (2016) - [j8]Peican Zhu, Jie Han, Yangming Guo, Fabrizio Lombardi:
Reliability and Criticality Analysis of Communication Networks by Stochastic Computation. IEEE Netw. 30(6): 70-76 (2016) - [j7]Peican Zhu, Jie Han, Leibo Liu, Fabrizio Lombardi:
Reliability Evaluation of Phased-Mission Systems Using Stochastic Computation. IEEE Trans. Reliab. 65(3): 1612-1623 (2016) - 2015
- [j6]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): 878-892 (2015) - 2014
- [j5]Peican Zhu, Jinghang Liang, Jie Han:
Gene perturbation and intervention in context-sensitive stochastic Boolean networks. BMC Syst. Biol. 8: 60 (2014) - [j4]Peican Zhu, Jie Han:
Asynchronous Stochastic Boolean Networks as Gene Network Models. J. Comput. Biol. 21(10): 771-783 (2014) - [j3]Peican Zhu, Jie Han:
Stochastic Multiple-Valued Gene Networks. IEEE Trans. Biomed. Circuits Syst. 8(1): 42-53 (2014) - [j2]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): 1336-1350 (2014) - [j1]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): 480-494 (2014)
Coauthor Index
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