黄文

黄文

个人简介

黄文，2022年毕业于电子科技大学，师从周世杰教授；现为四川大学计算机学院副研究员，博士后合作导师彭舰；2020年在澳大利亚悉尼科技大学计算机学院联合培养博士，合作导师朱天清。主要研究方向为差分隐私、公钥密码学、人文与人工智能交叉。得获2022年四川省优秀毕业生、2022年电子科技大学优秀毕业生、2022年电子科技大学优秀博士毕业论文、2022年ACM成都分会优秀研究生（博士）论文奖。目前，在CCF-A类期刊与会议、中科院一区等高水平期刊发表论文30余篇，如IEEE Transactions on Information Forensics and Security (TIFS)，2025 IEEE 41st International Conference on Data Engineering (ICDE)，IEEE Transactions on Services Computing (TSC)，Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)，IEEE Transactions on Industrial Informatics(TII)，，IEEE Transactions on Intelligent Transportation Systems (TITS)，IEEE Internet of Things Journal (IoTJ)，Neurocomputing。先后主持了教育部人文社科一般项目、中国博士后科学基金面上项目、四川大学—鹏程尚学教育基金项目、四川大学专职博士后研发基金项目，并参与国家自然科学基金面上项目、国家科技重大专项、四川省重大专项。获得发明专利3项。

发表论文

部分期刊论文

  1. Huang Wen, Zhou Shijie, Liao Yongjian. Unexpected information leakage of differential privacy due to the linear property of queries [J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 3123-37. (SCI， 1 区，IF=6.013，CCF A类)
  2. Huang Wen, Zhang Ganglin, Liao Yongjian, Peng Jian, Huang Feihu, Yang Jvlong. Secure Neural Network Prediction in the Cloud-Based Open Neural Network Service [J]. IEEE Transactions on Services Computing, 2023. (SCI， 1 区，IF=7.6，CCF A类)
  3. Huang Wen, Zhou Shijie, Liao Yongjian, Chen Hongjie. An efficient differential privacy logistic classification mechanism [J]. IEEE Internet of Things Journal, 2019, 6(6): 10620-6. (SCI, 1区，IF=9.936)
  4. Huang Wen, Zhou Shijie, Zhu Tianqing, Liao Yongjian. Privately publishing internet of things data: Bring personalized sampling into differentially private mechanisms [J]. IEEE Internet of Things Journal, 2021, 9(1): 80-91. (SCI，1 区，IF=9.936)
  5. Wen Huang, Zhishuo Zhang, Weixin Zhao, Jian Peng, Wenzheng Xu, Yongjian Liao, Shijie Zhou, and Ziming Wang, “Auditing privacy budget of differentially private neural network models,” Neurocomputing, vol. 614, p. 128756, 2025/01/21/ 2025, doi: https://doi.org/10.1016/j.neucom.2024.128756. (SCI，1 区，IF=5.5)
  6. Huang Wen, Zhuo Ming, Zhu Tianqing, Zhou Shijie, Liao Yongjian. Differential privacy: Review of improving utility through cryptography‐based technologies [J]. Concurrency and Computation: Practice and Experience, 2023, 35(5): e7565. (SCI，4 区，IF=1.7)
  7. 黄文 王钰涵 周世杰 廖永建 刘启和；第二届指挥控制网络安全大会, 差分隐私机制隐私泄露的量化分析 2021
  8. Zhang Zhishuo, Huang Ying, Huang Wen*, Liao Yongjian, Zhou Shijie. A Fully Auditable Data Propagation Scheme With Dynamic Vehicle Management for EC-ITS [J]. IEEE Transactions on Intelligent Transportation Systems, 2024. (SCI, 1区，IF=8.3)
  9. Zhang Zhishuo, Huang Ying, Huang Wen*, Pan Wenbo, Liao Yongjian, and Zhou Shijie, “An Auto-Upgradable End-to-End Preauthenticated Secure Communication Protocol for UAV-Aided Perception Intelligent System,” IEEE Internet of Things Journal, vol. 11, no. 18, pp. 30187-30203, 2024, doi: 10.1109/JIOT.2024.3413010. (SCI, 1区，IF=9.936)
  10. Zhang Zhishuo, Huang Wen*, Huang Ying, Liao Yongjian, Zhang Zhun, Zhou Shijie. A Domain Isolated Tripartite Authenticated Key Agreement Protocol With Dynamic Revocation and Online Public Identity Updating for IIoT [J]. IEEE Internet of Things Journal, 2024. (SCI, 1区，IF=9.936)
  11. Zhang Zhishuo, Huang Wen*, Yang Lin, Liao Yongjian, Zhou Shijie. A Stronger Secure Ciphertext Fingerprint based Commitment Scheme for Robuster Verifiable OD-CP-ABE in IMCC [J]. IEEE Internet of Things Journal, 2023. (SCI, 1区，IF=9.936)
  12. Wenzheng Xu, Heng Shao, Qunli Shen, Jian Peng, Wen Huang*, Weifa Liang, Tang Liu, Xin-Wei Yao, Tao Lin, and Sajal K. Das, Collect Spatiotemporally Correlated Data in IoT Networks With an Energy-constrained UAV [J]. IEEE Internet of Things Journal, 2023. (SCI, 1区，IF=9.936)
  13. Zhang Zhishuo, Huang Wen, Cai Songying, Yang Lin, Liao Yongjian, Zhou Shijie. An efficient reusable attribute-based signature scheme for mobile services with multi access policies in fog computing [J]. Computer Communications, 2022, 196: 9-22. ( SCI，2区，IF= 3.777 )
  14. Zhishuo Zhang Huixi Yang, Wen Huang, Yongjian Liao, Shijie Zhou. Reusable attribute-based signature with attribute revocation and authenticated key agreement[J]. Chinese Journal of Network and Information Security, 2024, 10(2): 81-94.
  15. Ran Zhu, Jian Peng*, Wen Huang, Yujun He, and Chengyi Tang, “Dynamic graph attention-guided graph clustering with entropy minimization self-supervision,” Applied Intelligence, vol. 54, no. 24, pp. 12819-12834, 2024/12/01 2024, doi: 10.1007/s10489-024-05745-y. (SCI, 2区 IF=3.9)
  16. 禚明 刘乐源 周世杰* 杨鹏 万思敏 黄文; 一种空间信息网络抗毁分析的新方法 2020
  17. Qiu Shilin, Liu Qihe, Zhou Shijie*, Huang Wen. Adversarial attack and defense technologies in natural language processing: A survey [J]. Neurocomputing, 2022, 492: 278-307 (SCI，3区，IF= 5.719).

部分会议论文

  1. Zikun Zhou, Wen Huang*, Xingyi Wang, Zhishuo Zhang, Zhun Zhang, Jian Peng, Feihu Huang. Improving Federated Domain Generalization through Dynamical Weights Calculated from Data Influences on Global Model Update[C]. proceedings of the 39th Annual AAAI Conference on Artificial Intelligence, 2025 (CCF A类)
  2. Wenzheng Xu, Honglin Mao , Heng Shao , Weifa Liang , Jian Peng , Wen Huang* , Zichuan Xu , Pan Zhou , Jeffrey Xu Yu. An Adaptive Sampling Algorithm for the Top-K Group Betweenness Centrality, proceedings of the 41st IEEE International Conference on Data Engineering 2025. (CCF A类)
  3. Huang Wen, Zhou Shijie, Zhu Tianqing, Liao Yongjian, Wu Chunjiang, Qiu Shilin. Improving laplace mechanism of differential privacy by personalized sampling; proceedings of the 2020 IEEE 19th international conference on trust, security and privacy in computing and communications (TrustCom), F, 2020 [C].
  4. Huang Wen, Zhou Shijie, Liao Yongjian. Improving the Number of Queries Supported by Differentially Private Mechanisms; proceedings of the 2021 IEEE 15th International Conference on Big Data Science and Engineering (BigDataSE), F, 2021 [C]. IEEE.

主持项目

  1. 《汉语大字典》编纂修订所用古文字语料库的智能建设与研究 (教育部人文社科一般项目)
  2. 面向差分隐私人工智能模型的隐私预算审计方法 (中国博士后科学基金面上项目)
  3. 时变架构中基于差分隐私的动态异构物联网数据采集方案研究 (四川省博士后特别资助)
  4. 面向位置数据的差分隐私数据效用优化 (四川大学—鹏程尚学教育基金项目)
  5. 隐私预算审计方法的通用性增强研究 (四川大学专职博士后研发基金项目)

部分参与项目

  1. 基于视网膜图像技术的DR“既变”状态表征与智能预测及评价研究 (国家自然科学基金委员会面上项目)
  2. 材料数据资源共享公益服务系统 (重点新材料研发及应用国家科技重大专项)
  3. 大数据隐私保护关键技术研究 (四川省重大专项)
  4. 面向移云计算的加密文件分类算法研究 (四川省重大专项)

获奖情况

  1. 2022年 ACM成都分会优秀研究生（博士）论文奖
  2. 2022年 电子科技大学优秀博士毕业论文
  3. 2022年 电子科技大学校优秀毕业生
  4. 2022年 四川省优秀毕业生
  5. 2021年 获得电子科技大学“学术新秀”
  6. 2021年 获得腾讯奖学金