World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
7975
World Ranking
6237
National Ranking
830

Overview

Shouling Ji is affiliated with Zhejiang University in China and has a research focus primarily within the field of Computer Science. Their work extensively covers subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing, and Computer Networks and Communications.

The main topics addressed in Ji's research include:

  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Security and Verification in Computing
  • Topic Modeling

Ji has contributed to numerous peer-reviewed papers. Some recent publications are:

  • Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Improved functionality of Ligilactobacillus salivarius Li01 in alleviating colonic inflammation by layer-by-layer microencapsulation, 2021, npj Biofilms and Microbiomes
  • Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art, 2023, Computers & Security
  • Deep Graph Matching and Searching for Semantic Code Retrieval, 2021, ACM Transactions on Knowledge Discovery from Data
  • AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy, 2020, IEEE Transactions on Information Forensics and Security

Frequent co-authors collaborating with Ji include:

  • Xuhong Zhang
  • Ting Wang
  • Yuwen Pu
  • Raheem Beyah
  • Lingfei Wu

Ji's publications are commonly found in various academic venues, with a notable number appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Information Forensics and Security
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Internet of Things Journal

Best Publications

  • TextBugger: Generating Adversarial Text Against Real-world Applications

    Jinfeng Li;Shouling Ji;Tianyu Du;Bo Li

  • Dual Encoding for Zero-Example Video Retrieval

    Jianfeng Dong;Xirong Li;Chaoxi Xu;Shouling Ji

  • Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

    Mingqi Lv;Zhaoxiong Hong;Ling Chen;Tieming Chen

  • Model-Reuse Attacks on Deep Learning Systems

    Yujie Ji;Xinyang Zhang;Shouling Ji;Xiapu Luo

  • Privacy Risks of General-Purpose Language Models

    Xudong Pan;Mi Zhang;Shouling Ji;Min Yang

  • Graph Data Anonymization, De-Anonymization Attacks, and De-Anonymizability Quantification: A Survey

    Shouling Ji;Prateek Mittal;Raheem A. Beyah

  • DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

    Xiang Ling;Shouling Ji;Jiaxu Zou;Jiannan Wang

  • Deep Dual Consecutive Network for Human Pose Estimation

    Zhenguang Liu;Haoming Chen;Runyang Feng;Shuang Wu

  • CertChain: Public and Efficient Certificate Audit Based on Blockchain for TLS Connections

    Jing Chen;Shixiong Yao;Quan Yuan;Kun He

  • SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems

    Tianyu Du;Shouling Ji;Jinfeng Li;Qinchen Gu

  • Structural Data De-anonymization: Quantification, Practice, and Implications

    Shouling Ji;Weiqing Li;Mudhakar Srivatsa;Raheem Beyah

  • {MOPT}: Optimized Mutation Scheduling for Fuzzers

    Chenyang Lyu;Shouling Ji;Chao Zhang;Yuwei Li

  • SecGraph: a uniform and open-source evaluation system for graph data anonymization and de-anonymization

    Shouling Ji;Weiqing Li;Prateek Mittal;Xin Hu

  • Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

    Unknown

  • Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

    Unknown

  • Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

    Zhenguang Liu;Peng Qian;Xiang Wang;Lei Zhu

  • A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models

    Ren Pang;Hua Shen;Xinyang Zhang;Shouling Ji

  • VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities

    Xu Duan;Xu Duan;Jingzheng Wu;Shouling Ji;Zhiqing Rui

  • On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge.

    Shouling Ji;Weiqing Li;Neil Zhenqiang Gong;Prateek Mittal

  • Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

    Unknown

  • Trojaning Language Models for Fun and Profit

    Xinyang Zhang;Zheng Zhang;Shouling Ji;Ting Wang

  • Interpretable Deep Learning under Fire

    Xinyang Zhang;Ningfei Wang;Hua Shen;Shouling Ji

  • Deep Graph Matching and Searching for Semantic Code Retrieval

    Xiang Ling;Lingfei Wu;Saizhuo Wang;Gaoning Pan

  • Backdoor Pre-trained Models Can Transfer to All

    Lujia Shen;Shouling Ji;Xuhong Zhang;Jinfeng Li

  • Graph Backdoor.

    Zhaohan Xi;Ren Pang;Shouling Ji;Ting Wang

Frequent Co-Authors

Raheem Beyah
Raheem Beyah Georgia Institute of Technology
Ting Wang
Ting Wang Washington University in St. Louis
Zhipeng Cai
Zhipeng Cai Georgia State University
Yingshu Li
Yingshu Li Georgia State University
Prateek Mittal
Prateek Mittal Princeton University
Yi Pan
Yi Pan Shenzhen Institutes of Advanced Technology
Pan Zhou
Pan Zhou Huazhong University of Science and Technology
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Xun Wang
Xun Wang Tsinghua University
Peng Cheng
Peng Cheng Zhejiang University

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Related Online Degrees & Career Pathways

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