个人简介

聂何望，男，汉族，籍贯江西省九江市，博士/讲师。2025年6月毕业于华中科技大学，获网络与信息安全博士学位。长期致力于人工智能安全、可逆信息隐藏、神经网络模型水印等领域的研究。

主持中央网信办创新资助计划项目，参与国家重点研发计划、国家科学自然基金地区科学基金项目、广西高校中青年教师基础能力提升项目等重要科研项目研究。已在国内外著名期刊和会议发表论文十余篇，其中SCI一区TOP国际期刊论文5篇、CCF-B类国际期刊/会议论文6篇，获授权发明专利3件，软件著作权3件。

学术任职

• 中国图象图形学学会数字媒体取证与安全专委会委员
• “新一代图像安全技术研讨会” 程序委员会委员 (PC Member)

期刊审稿人

• IEEE Transactions on Artificial Intelligence
• IEEE Access
• Knowledge-Based Systems
• Expert Systems with Applications
• Engineering Applications of Artificial Intelligence
• Information Processing & Management
• Information Fusion
• Information Sciences
• Applied Soft Computing
• Neural Networks
• Neurocomputing
• Signal Processing
• Ad Hoc Networks
• Cluster Computing
• Complex & Intelligent Systems
• EURASIP Journal on Image and Video Processing
• IET Image Processing
• PLOS ONE
• Journal of King Saud University -- Computer and Information Sciences
• Smart Health
• Computer Law & Security Review
• International Journal of Computational Intelligence Systems

会议审稿人

• ICASSP
• ICME
• IJCNN

科研项目

• 中央网信办，网络安全学院学生创新资助计划，AI数据模型防泄露检测工具，2024.04-2025.04，5万元，结题，主持
• 国家重点研发计划 (2021YFB2012200)，开放式数控系统安全可信技术，2021.11-2024.10，2297万元，结题，参与
• 广西教育厅 (2021KY0861)，基于注意力卷积神经网络的目标检测算法研究，2021.01-2025.04，2万元，结题，参与
• 国家自然科学基金 (61962008)，基于矩阵分解的彩色图像哈希算法研究，2020.01-2023.12，40万元，结题，参与

论文发表

期刊论文 (按年份)

• 1.
  Compression Is No Barrier: Dataset Copyright Protection with Compression-Resistant Backdoor Watermarks

  Nie Hewang, Xuemei Yuan.
  Information Processing & Management, 2025.

  SCI一区TOPCCF B
• 2.
  Beyond Protection: Unveiling Neural Network Copyright Trading

  Xuemei Yuan, Nie Hewang†.
  Knowledge-Based Systems, 2025.

  SCI一区TOPCCF C
• 3.
  Secure Industrial Federated Learning: Label Encryption for Model Protection

  Xuemei Yuan, Nie Hewang†.
  Engineering Applications of Artificial Intelligence, 2025.

  SCI一区TOPCCF C
• 4.
  Federated Learning with Bilateral Defense via Blockchain

  Jue Xiao∗, Nie Hewang∗, Xueming Tang, Songfeng Lu.
  Neural Networks, 2025.

  SCI二区CCF B

• 5.
  Deep Model Intellectual Property Protection with Compression-Resistant Model Watermarking

  Nie Hewang, Songfeng Lu, Junjun Wu, Jianxin Zhu.
  IEEE Transactions on Artificial Intelligence, 2024.
• 6.
  PersistVerifty: Federated model ownership verification with spatial attention and boundary sampling

  Nie Hewang, Songfeng Lu.
  Knowledge-Based Systems, 2024.

  SCI一区TOPCCF C
• 7.
  FedCRMW: Federated model ownership verification with compression-resistant model watermarking

  Nie Hewang, Songfeng Lu.
  Expert Systems with Applications, 2024.

  SCI一区TOPCCF C
• 8.
  Securing IP in Edge AI: Neural Network Watermarking for Multimodal Models

  Nie Hewang, Songfeng Lu.
  Applied Intelligence, 2024.

  SCI三区CCF C

• 9.
  Color image reversible data hiding with double-layer embedding

  Zhenjun Tang, Nie Hewang, Chi-Man Pun, Heng Yao, Chunqiang Yu, Xianquan Zhang.
  IEEE Access, 2020.

  SCI四区

会议论文 (按年份)

• 1.
  Optimized Dynamic Watermarking for Audio DNNs with Adaptive Embedding and Boundary Sampling

  Hao Fei∗, Nie Hewang∗, Siqi Sun, Songfeng Lu, Ting Luo, Dunbo Cai, Zhiguo Huang, Runqing Zhang.
  ICASSP 2025.

  CCF B
• 2.
  FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer

  Jue Xiao, Zepu Yi, Nie Hewang, Zhi Lu, Xueming Tang, Songfeng Lu, Zhiguo Huang, Runqing Zhang.
  ICASSP 2025.

  CCF B
• 3.
  VeriChroma: Ownership Verification for Federated Models via RGB Filters

  Nie Hewang, Songfeng Lu, Mu Wang, Jue Xiao, Zhi Lu, Zepu Yi.
  Euro-Par 2024.

  CCF B
• 4.
  Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning

  Zhi Lu, Songfeng Lu, Yongquan Cui, Junjun Wu, Nie Hewang, Jue Xiao, Zepu Yi.
  Euro-Par 2024.

  CCF B

发明专利与软件著作权

• 路松峰, 路直, 聂何望, 杨豪. 一种基于国产密码的工控数据安全防护系统及其工作方法. CN118133298A (2024).
• 路松峰, 周立天, 朱建新, 罗勇, 聂何望. 一种基于LSTM的数控系统日志审计方法及终端. CN116781321A (2023).
• 路松峰, 肖珏, 路直, 聂何望, 杨豪. 一种适用于数控系统的流加密机及其工作方法. CN116684076A (2023).
• 聂何望, 唐振军, 梁晓萍, 广西师范大学. 抗压缩的联邦学习模型水印系统V1.0，登记号：2025R11L2606607
• 聂何望, 唐振军, 陈旅, 广西师范大学. 基于边界采样的音频深度神经网络模型水印系统V1.0，登记号：2025SR2186923
• 聂何望, 唐振军, 凌曼, 广西师范大学. 基于SVM的车牌识别软件V1.0，登记号：2018SR219059

荣誉奖项

• 优秀毕业博士研究生 (2025)
• 博士研究生国家奖学金 (2023-2024)

教学与指导

指导本科生获奖：

• 高锐 (2019级)：全国蓝桥杯大赛广西赛区三等奖
• 韩林荣 (2019级)：全国蓝桥杯大赛广西赛区二等奖

About

Hewang Nie is a Lecturer with a Ph.D. in Cyberspace Security from Huazhong University of Science and Technology (June 2025). His research focuses on AI security, reversible information hiding, and neural network watermarking.

He has led a student innovation funding project from the Cyberspace Administration of China and participated in major research programs including the National Key R&D Program of China and the National Natural Science Foundation of China. He has published over ten papers in well-known journals and conferences, including five papers in SCI Q1 (TOP) journals and six papers in CCF-B journals/conferences. He holds 3 authorized invention patents and 3 software copyrights.

Research Interests

• AI Security; Intellectual Property Protection for Neural Network Models
• Multimedia Information Security; Neural Network Watermarking; Reversible Information Hiding; Image Watermarking
• Federated Learning Security; Model Ownership Verification
• Artificial Intelligence in Healthcare; Medical Image Processing

Academic Service

• Member of the Digital Media Forensics and Security Committee, CSIG.
• PC Member for Workshop on New-Generation Image Security Technologies.

Journal Reviewer

• IEEE Transactions on Artificial Intelligence
• IEEE Access
• Knowledge-Based Systems
• Expert Systems with Applications
• Engineering Applications of Artificial Intelligence
• Information Processing & Management
• Information Fusion
• Information Sciences
• Applied Soft Computing
• Neural Networks
• Neurocomputing
• Signal Processing
• Ad Hoc Networks
• Cluster Computing
• Complex & Intelligent Systems
• EURASIP Journal on Image and Video Processing
• IET Image Processing
• PLOS ONE
• Journal of King Saud University -- Computer and Information Sciences
• Smart Health
• Computer Law & Security Review
• International Journal of Computational Intelligence Systems

Conference Reviewer

• ICASSP
• ICME
• IJCNN

Projects

• Cyberspace Administration of China, AI Data/Model Leakage Detection Tool, 2024.04-2025.04, PI.
• National Key R&D Program (2021YFB2012200), Security for Open CNC Systems, 2021.11-2024.10, Participant.
• Guangxi Education Department, Object Detection with Attention-based CNN, 2021.01-2025.04, Participant.
• National Natural Science Foundation of China (61962008), Color Image Hashing, 2020.01-2023.12, Participant.

Publications

Journal Articles

• [1]
  Compression Is No Barrier: Dataset Copyright Protection with Compression-Resistant Backdoor Watermarks

  Hewang Nie, Xuemei Yuan.
  Information Processing & Management, 2025.

  CAS Q1CCF B
• [2]
  Beyond Protection: Unveiling Neural Network Copyright Trading

  Xuemei Yuan, Hewang Nie†.
  Knowledge-Based Systems, 2025.

  CAS Q1CCF C
• [3]
  Secure Industrial Federated Learning: Label Encryption for Model Protection

  Xuemei Yuan, Hewang Nie†.
  Engineering Applications of Artificial Intelligence, 2025.

  CAS Q1CCF C
• [4]
  Federated Learning with Bilateral Defense via Blockchain

  Jue Xiao∗, Hewang Nie∗, Xueming Tang, Songfeng Lu.
  Neural Networks, 2025.

  CAS Q2CCF B

• [5]
  Deep Model Intellectual Property Protection with Compression-Resistant Model Watermarking

  Hewang Nie, Songfeng Lu, Junjun Wu, Jianxin Zhu.
  IEEE Transactions on Artificial Intelligence, 2024.
• [6]
  PersistVerifty: Federated model ownership verification with spatial attention and boundary sampling

  Hewang Nie, Songfeng Lu.
  Knowledge-Based Systems, 2024.

  CAS Q1CCF C
• [7]
  FedCRMW: Federated model ownership verification with compression-resistant model watermarking

  Hewang Nie, Songfeng Lu.
  Expert Systems with Applications, 2024.

  CAS Q1CCF C
• [8]
  Securing IP in Edge AI: Neural Network Watermarking for Multimodal Models

  Hewang Nie, Songfeng Lu.
  Applied Intelligence, 2024.

  CAS Q3CCF C

• [9]
  Color image reversible data hiding with double-layer embedding

  Zhenjun Tang, Hewang Nie, Chi-Man Pun, Heng Yao, Chunqiang Yu, Xianquan Zhang.
  IEEE Access, 2020.

  CAS Q4

Conference Papers

• [10]
  Optimized Dynamic Watermarking for Audio DNNs with Adaptive Embedding and Boundary Sampling

  Hao Fei∗, Hewang Nie∗, Siqi Sun, Songfeng Lu, Ting Luo, Dunbo Cai, Zhiguo Huang, Runqing Zhang.
  ICASSP 2025.

  CCF B
• [11]
  FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer

  Jue Xiao, Zepu Yi, Hewang Nie, Zhi Lu, Xueming Tang, Songfeng Lu, Zhiguo Huang, Runqing Zhang.
  ICASSP 2025.

  CCF B
• [12]
  VeriChroma: Ownership Verification for Federated Models via RGB Filters

  Hewang Nie, Songfeng Lu, Mu Wang, Jue Xiao, Zhi Lu, Zepu Yi.
  Euro-Par 2024.

  CCF B
• [13]
  Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning

  Zhi Lu, Songfeng Lu, Yongquan Cui, Junjun Wu, Hewang Nie, Jue Xiao, Zepu Yi.
  Euro-Par 2024.

  CCF B

Patents & Software Copyrights

Patents

• Songfeng Lu, Zhi Lu, Hewang Nie, Hao Yang. Industrial Control Data Security Protection System. CN118133298A (2024).
• Songfeng Lu, Litian Zhou, Jianxin Zhu, Yong Luo, Hewang Nie. Log Audit Method for CNC Systems based on LSTM. CN116781321A (2023).
• Songfeng Lu, Jue Xiao, Zhi Lu, Hewang Nie, Hao Yang. Stream Cipher Device for CNC Systems. CN116684076A (2023).

Software Copyrights

• Hewang Nie, Zhenjun Tang, Xiaoping Liang. Compression-Resistant Federated Learning Model Watermarking System V1.0. (No. 2025R11L2606607)
• Hewang Nie, Zhenjun Tang, Lv Chen. Audio DNN Model Watermarking System Based on Boundary Sampling V1.0. (No. 2025SR2186923)
• Hewang Nie, Zhenjun Tang, Man Ling. License Plate Recognition Software V1.0 based on SVM. (No. 2018SR219059)

Honors

• Outstanding Graduating Ph.D. Student (2025)
• National Scholarship for Doctoral Students (2023-2024)

Teaching & Supervision

Undergraduate Supervision:

• Rui Gao (Class of 2019): Third Prize, LanQiao Cup (Guangxi Division).
• Linrong Han (Class of 2019): Second Prize, LanQiao Cup (Guangxi Division).