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期刊论文:

  1. 王晨旭，孙一帆，柳博洋，师金宸，沈彦成，王 伟，基于区块链的动态多云多副本数据完整性审计方法研究，计算机学报，2025(48)2:497-516.

  2. Kuiyu Zhu, Tao Qin, Xin Wang, Zhaoli Liu, Chenxu Wang, Distribution-aware hybrid noise augmentation in graph contrastive learning for recommendation, Expert Systems With Applications, 257(2024):125118, 2024.

  3. Chenxu Wang, Zhizhong Wan, Panpan Meng, Shihao Wang, Zhanggong Wang, Graph contrastive learning with high-order feature interactions and adversarial Wasserstein-distance-based Alignment, International Journal of Machine Learning and Cybernetics, 1-12. Accepted. DOI: 10.1007/s13042-024-02461-4. (WOS:001360213300001)

  4. Yumeng Dai, Yifan Shao, Chenxu Wang, Xiaohong Guan, Graph augmentation against structural poisoning attacks via structure and attribute reconciliation, International Journal of Machine Learning and Cybernetics, September 2024, DOI: 10.1007/s13042-024-02380-4 (WOS:001320716900002)

  5. Lulin Liu, Tao Qin, Yuankun Zhou, Chenxu Wang, Xiaohong Guan, SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics [J]. IEEE Transactions on Affective Computing, 2024.

  6. Chenxu Wang, Yifan Sun, Boyang Liu, Lei Xue, Xiaohong Guan, Blockchain-based Dynamic Cloud Data Integrity Auditing via Non-leaf Node Sampling of Rank-based Merkle Hash Tree, IEEE Transactions on Network Science and Engineering, 2024(5)11:3931-3942. (WOS:001294586400012)

  7. 王晨旭，王凯月，王梦勤. 基于半监督和自监督图表示学习的恶意节点检测方法[J]. 软件学报，2024:1-12.

  8. Chenxu Wang, Aodian Liu, Tao Qin, Learning-to-Rank Debias with Popularity-weighted Negative Sampling and Popularity Regularization, Neurocomputing, 2024, 587: 127681 (WOS:001230489900001)

  9. Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang and Yi Long, Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection, in Big Data Mining and Analytics, 2024(7)3: 920-941. doi: 10.26599/BDMA.2024.9020013. (WOS:001306486900003)

  10. 秦涛，杜尚恒，常元元，王晨旭. ChatGPT的工作原理、关键技术及未来发展趋势[J]. 西安交通大学学报，2024, 58(1): 1-12.

  11. 王晨旭，汪瑾权，杨鑫，基于二级时空分桶的伴随轨迹查询，计算机学报，2024，47(1):131-147. DOI: 10.11897/SP.J.1016.2024.00131

  12. Chexu Wang*, Peijing Jiang, Xiangliang Zhang, Pinghui Wang*, Tao Qin, Xiaohong Guan, GTCAlign: Global Topology Consistency-based Graph Alignment, IEEE Transactions on Knowledge and Data Engineering, 2023, 2023(01): 1-16. DOI: 10.1109/TKDE.2023.3312358 (WOS:001196644600027)

  13. 王晨旭，周俊铭，姜佩京，基于拓扑结构表示学习的大规模无监督图对齐方法研究，计算机学报，2023, 46(7): 1350-1365. DOI: 10.11897/SP.J.1016.2023.01350 (EI:20233714727334)

  14. Chenxu Wang, Zhenhao Huang, Yue Wan, Junyu Wei, Junzhou Zhao, Pinghui Wang, FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs, Information Fusion, 2022, 89(2023): 41-52. Online: https://doi.org/10.1016/j.inffus.2022.08.002 

  15. Chenxu Wang, Yue Wan, Zhenhao Huang, Panpan Meng, Pinghui Wang, AEP: Aligning Knowledge Graphs via Embedding Propagation, Neurocomputing (2022), 507(2022):130-144. Online: https://doi.org/10.1016/j.neucom.2022.08.018  

  16. Chenxu Wang, Zhiyang Zhu, Panpan Meng, Yumo Qiu, Leveraging Network Structure for Efficient Dynamic Negative Sampling in Network Embedding, Information Sciences, 2022(606)August: 853-863. Online: https://doi.org/10.1016/j.ins.2022.05.107 

  17. Chenxu Wang, Yu Yang, Kaiqiang Suo, Pinghui Wang, MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback[J]. Knowledge-Based Systems, 2022(249)August: 108946. Online: https://doi.org/10.1016/j.knosys.2022.108946 

  18. Changyu Wang, Pinghui, Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan and Jun Liu and Kevin Chen-Chuan Chang, SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.

  19. Chenxu Wang, Yang Wang, Zhiyuan Zhao, Dong Qin, Xiapu Luo, Tao Qin, Credible Seed Identification for Large-scale Structural Network Alignment, Data Mining and Knowledge Discovery, 2020: 1-33.

  20. Chenxu Wang, Wei Rao, Pinghui Wang, Jun Liu, Xiaohong Guan, Towards Understanding the Instability of Network Embedding, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, 1-15, doi:10.1109/TKDE.2020.2989512 (SCI, CCF A)

  21. Chenxu Wang, Chongxiao Hao, Xiaohong Guan, Hierarchical and Overlapping Social Circle Identification in Ego Networks based on Link Clustering, Neurocomputing, 2020, 381: 322-335, online: https://doi.org/10.1016/j.neucom.2019.11.080

  22. Chenxu Wang*, Tony T. N. Miu, Xiapu Luo*, Jinhe Wang, SkyShield: A Sketch-Based Defense System Against Application Layer DDoS Attacks, IEEE Transactions on Information Forensics and Security (TIFS), 2018, 13(3):559-573. (SCI, CCF A)

  23. Chenxu Wang, Gaoshuai Wang, Xiapu Luo, Hui Li, Modeling rumor propagation and mitigation across multiple social networks, Physica A: Statistical Mechanics and its Applications. 2019, 553(1 December 2019): 122240. Online: https://doi.org/10.1016/j.physa.2019.122240

  24. Chenxu Wang, Xiaohong Guan, Tao Qin, Tao Yang, Modeling heterogeneous and correlated human dynamics of online activities with double Pareto distributions, Information Sciences. 330(2016):186-198. (IF: 4.038)

  25. Chenxu Wang, Xiaohong Guan, Tao Qin, Tao Yang. Modeling the Heterogeneity of Human Dynamics based on the Measurements of Influential Users in Sina Microblog [J]. Physica A: Statistical Mechanics and its Applications, 2015, 428(2015):239-249. (SCI: CF1SL, IF: 1.732) (EI:20143118012119)

  26. Tao Qin, Wei Li, Chenxu Wang, Xingjun Zhang. A New Way for User’s Web Communication Visualization and Measurement: Modeling, Experiment and Application [J]. IEICE Transctions on Communications, 2014, E97-B(4):730-737.

  27. Tao Qin, Xiaohong Guan, Chenxu Wang, Zhaoli Liu. MUCM: Multilevel User Cluster Mining Based on Behavior Profiles for Network Monitoring [J], IEEE System Journal, 2014, PP(99):1-12.

会议论文:

  1. Shihao Wang, Chenxu Wang, Panpan Meng, Zhanggong Wang, AFANS: Augmentation-Free Graph Contrastive Learning with Adversarial Negative Sampling, International Conference on Intelligent Computing (ICIC) 2024, pp. 376–387, 2024.

  2. Chenxu Wang*, Xin Yang, Tianyi Li, Jiaxing Wei, Pinghui Wang*, Hongzhen Xiang, Christain S. Jensen, SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning, IEEE International Conference on Data Engineering (ICDE) 2024:4518-4531, MAY 13 - 17, 2024, Utrecht, Netherlands. Accepted, (EI:20243216830614) (CCF A)

  3. Chenxu Wang, Xichan Nie, Jinfeng Chen, Pinghui Wang, Junzhou Zhao, Xiaohong Guan, SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning, International World Wide Web Conference, WWW 2024: 618-628, MAY 13 - 17, 2024, SINGAPORE, Accepted (EI:20242216163377) (CCF A)

  4. Shuai Ju, Chenxu Wang, Beyond Simple Text Style Transfer: Unveiling Compound Text Style Transfer with Prompt-based Pre-trained Language Models, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), 2024, Accepted. (EI:20242416239446)

  5. Shuohan Wu, zihao li, Luyi Yan, Weimin Chen, Muhui Jiang, Chenxu Wang, Xiapu Luo, Hao Zhou, Are We There Yet? Unraveling the State-of-the-Art Smart Contract Fuzzers, International Conference on Software Engineering (ICSE) 2024, Accepted. 

  6. Wang, Chenxu, Rao, Wei, Guo, Wenna, Wang, Pinghui, Liu, Jun, Guan, Xiaohong, Towards Understanding the Instability of Network Embedding (Extended Abstract), Proceedings in International Conference on Data Engineering (ICDE), Volume 2023-April, Pages 3825-3826, 2023. DOI: 10.1109/ICDE55515.2023.00339 (EI:20233314551736)

  7. Chenxu Wang, Xinxin Sang, A Blockchain-based On-chain and Off-chain Dual-trusted Carbon Emission Trading System with Reputation Mechanism, BlockSys 2023, 2023, First Online: 25 November 2023, DOI: https://doi.org/10.1007/978-981-99-8101-4_12 (EI:20234915164959)

  8. ZhiXuan Ni, Chenxu Wang, Jing Tao, Qi Zhang. A Deobfuscation System based on Markov models[C]//2022 2nd International Conference on Computer Network Security and Software Engineering. 2022-02. DOI: 10.1117/12.2640798

  9. Xiaoming Fan, Chenxu Wang, Advertisement Extraction from Content Marketing Articles via Segment-Aware Sentence Classification, CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2021), 2021: 631-642.

  10. Kunpeng Yu, Chenxu Wang, Yan Cai, Xiapu Luo, Zijiang Yang, Detecting concurrency vulnerabilities based on partial orders of memory and thread events, Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2021), 2021:280-291. (CCF A)

  11. Chenxu Wang, Xinxin Sang, Lang Gao, A Cross-chain Gateway for Efficient Supply Chain Data Management, BenchCouncil Federated Intelligent Computing and Blockchain Conference, 2020:318-333.

  12. Zhenhao Huang, Chenxu Wang, Measuring the Semantic Stability of Word Embedding, The 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2020). 2020:378-390.  

  13. Xiaoming Fan, Chenxu Wang, Xiao Liang, Extracting Advertisements from Content Marketing Articles based on TopicCNN, Intl Conf on Cyber Science and Technology Congress, 2020: 343-348.

  14. Yawei Wang, Chenxu Wang, Xiapu Luo, Kaixiang Zhang, Huizhong Li, Highly concurrent and scalable model for IoT data sharing and management[C]// 13th International Conference on Network and System Security, NSS 2019.  

  15. Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C.S. Lui, Xiaohong Guan, A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets, KDD 2019. 2019:25-33. (CCF A, EI: 20193507365421)

  16. Yiming Jiang, Chenxu Wang, Yawei Wang, Lang Gao, A Privacy-Preserving E-Commerce System Based on the Blockchain Technology[C]//2019 IEEE 2th International Workshop on Blockchain Oriented Software Engineering (IWBOSE). IEEE, 2019: 50-55. (EI: 20191506756903)

  17. Tony Miu Tung, Chenxu Wang, Jinhe Wang, Understanding the Behaviors of BGP-based DDoS Protection Services, Proceedings of 12th International Conference on Network and System Security, NSS 2018, 2018:463-473. (EI: 20185206306675)

  18. Zhiyuan Zhao, Chenxu Wang, Wei Rao, Slop: Towards An Efficient and Universal Streaming Log Parser [C], International Conference on Information and Communications Security (ICICS), Lille, France, Oct 2018.

  19. Yiming Jiang, Chenxu Wang, Ye Huang, Siyu Long, Yilun Huo, A Cross-Chain Solution to Integration of IoT Tangle for Data Access Management [C], IEEE International Conference on Blockchain (Blockchain-2018), Halifax, Canada, July 30 – Aug 03, 2018.

  20. Chenxu Wang, Zhiyuan Zhao, Yang Wang, Dong Qin, Xiapu Luo and Tao Qin, DeepMatching: A Structural Seed Identification Framework for Social Network Alignment [C], Proc. of 38th IEEE International Conference on Distributed Computing Systems (ICDCS), Vienna, Austria, July 2018. 

  21. Dong Qin, Chenxu Wang, Yiming Jiang, RPchain: A Blockchain-Based Academic Social Networking Service for Credible Reputation Building [C], International Conference on Blockchain, ICBC 2018, LNCS 10974, pp. 183–198, 2018. 

  22. Muhui Jiang, Chenxu Wang, Xiapu Luo, MiuTong Miu and Ting Chen, Characterizing the Impacts of Application Layer DDoS Attacks, 2017 IEEE International Conference on Web Services (ICWS), Honolulu, HI, 2017, pp. 500-507. 

  23. Chenxu Wang, Yang Wang, Tao Qin, Hui Li, From Micro to Macro: Propagated Constraints in Social Networks, IEEE CASE 2017, pp. 1534-1539. 10.1109/COASE.2017.8256321 (EI: 20181504993405)

  24. [POSTER:] TungNgai Miu, Chenxu Wang*, Xiapu Luo, Jinhe Wang, Modeling User Browsing Activity for Application Layer DDoS Attack Detection [C]. 12th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2016: 747-750. (EI: 20172703892882)

  25. Chenxu Wang, Xiaohong Guan, Tao Qin. Microblog Friends Automatic Clustering Framework based on Similarity Measurement, 11th World Congress on Intelligent Control and Automation (WCICA), Shenyang, China, 2014:5143-5148. (EI: 20152600977827)

  26. Chenxu Wang, Xiaohong Guan, Tao Qin. Who Are Active? An In-depth Measurement on User Activity Characteristics in Sina Microblog [C]. IEEE Global Communications Conference, GLOBECOM 2012, Anaheim, CA, USA, 2012:2083-2088. (EI:20132016338453)

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  1. 中国电子技术标准化研究院，企业横向课题，面向电子行业人工智能视觉在线检测系统的测评工具开发，2024.6~2026.5，在研，主持
  2. 深圳赛西信息技术有限公司，企业横向课题，人工智能云端训练用高密度集群服务器项目-人工智能评测数据管理工具集成，2023.11至2024.6，在研，主持
  3. 大规模无监督图表示学习不稳定性机理研究，国家自然科学基金面上项目，2023年1月~2026年12月
  4. 时空网格数据压缩技术开发，电信科学技术第十研究所，横向课题，2021年6月~2022年6月
  5. 中国电子技术标准化研究院人工智能测试工具开发。横向课题，2021年6月~2021年12月
  6. 基于机器学习的区块链智能合约智能测试分析方法研究。横向课题，2020年6月~2021年12月
  7. 针对网络热点事件的信息跨社交媒体传播规律测量与建模方法研究。国家自然科学基金项目，2017年1月~2019年12月
  8. 基于多层区块链结构的物联网数据系统设计方案。华为横向课题，2019年1月~2020年6月
  9. 基于多源数据融合的社交用户人物画像及身份定位技术。博士后特别资助项目，2018年1月~2019年12月
  10. 社交媒体信息分享行为动力学建模及其在信息传播预测中的应用研究。基本科研业务项目，2016年1月~2018年12月
  11. 基于位置的移动社交网络精准营销算法研究。中国博士后项目基金，2016年1月~2017年12月
  12. 网络热点信息跨平台传播建模方法研究。陕西省博士后基金一等，2017年1月~2018年12月
  13. 大规模区块链跨链技术研究，CCF腾讯犀牛鸟-微众银行专项项目，2018年10月~2019年10月
  14. 面向大规模多社交网络的用户身份关联，CCF-鲲鹏基金项目，2018年10月~2019年10月
  15. “音乐与幂律”主题展品的设计与开发，横向课题，2016年1月~2016年12月