| 2026 | WWW | UniSafe: Modality-Agnostic Hateful Content Detection via Shared-Space Projection. | Siam Shibly Antar, Syem Shibly Ador, Steven H. H. Ding, Benjamin C. M. Fung |
| 2025 | MSR | Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem. | Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding |
| 2025 | NCA | ProvSpider: A Robust and Universal Toolkit for Binary Provenance Analysis Using Deep Learning. | Zhiwei Fu, Hanbo Yu, Xinyu Hu, Steven H. H. Ding, Furkan Alaca, Philippe Charland |
| 2024 | CIKM | Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection. | Li Tao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung |
| 2024 | ICANN | Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware. | Christopher Molloy, Furkan Alaca, Steven H. H. Ding |
| 2023 | COMPSAC | MaGnn: Binary-Source Code Matching by Modality-Sharing Graph Convolution for Binary Provenance Analysis. | Weihan Ou, Steven H. H. Ding |
| 2023 | COMPSAC | Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation. | Leo Song, Steven H. H. Ding |
| 2023 | IJCNN | GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection. | Li Tao Li, Steven H. H. Ding, Philippe Charland |
| 2023 | MSR | Understanding the Time to First Response in GitHub Pull Requests. | Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding |
| 2022 | ICDM | Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection. | Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li |
| 2021 | ICSoft | A Novel and Dedicated Machine Learning Model for Malware Classification. | Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding |
| 2021 | NAACL | ER-AE: Differentially Private Text Generation for Authorship Anonymization. | Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal |
| 2019 | SP | Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization. | Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland |
| 2018 | CHI | The Haply Development Platform: A Modular and Open-Sourced Entry Level Haptic Toolset. | Steven H. H. Ding, Colin R. Gallacher |
| 2016 | KDD | Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering. | Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland |