Yue Qin
Computer Science · Indiana University
Publications
26
Citations
388
Est. group size
—
Recurring co-author estimate
Active years
10
Publishing since 2017
Yue Qin works in computer science with a focus on security for machine learning systems and networks, including defending distributed AI training (federated learning) against malicious participants, detecting malware in encrypted network traffic, and verifying ownership of neural network models. Earlier work centered on natural language processing, particularly neural machine translation and text representation. Recent projects also touch on detecting software vulnerabilities and identifying coded or hidden language used online.
Publication activity has been steady with modest fluctuations, showing a recent uptick to four papers in 2026.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Breaking Free from Ivory Tower: Evaluating and Enhancing Real-world Chinese Underground Adversarial Jargon Detection
2026
- Black-Box Verification for GNN Ownership Via Decision Boundary Fingerprints
IEEE Transactions on Dependable and Secure Computing · 2026
- BSFuzzer: Context-Aware Semantic Fuzzing for BLE Logic Flaw Detection
2026
- Byzantine-Robust Asynchronous Federated Learning via Feature Fingerprinting
IEEE Transactions on Information Forensics and Security · 2026
- Research on Lane Keeping System Based on Deep Learning Algorithm
2025
- Multi-Prototypes Representation Learning for Contrastive Clustering
SSRN Electronic Journal · 2025
- Optimization Strategies for Chinese-English Mixed Typography in Urban Spaces Based on User Reading Experience
Art and Society · 2024
- Convolutional neural network-based ASIL rating method for automotive functional safety
2023
- Data-driven prediction of SOC during discharge of Li-ion batteries
2023
- Encrypted Malware Traffic Detection via Graph-based Network Analysis
2022
- Road traffic sign recognition based on lightweight neural network
AOPC 2021: Optical Sensing and Imaging Technology · 2021
- Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding
Artificial Intelligence · 2019
- Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
arXiv (Cornell University) · 2018
- Asynchronous Bidirectional Decoding for Neural Machine Translation
arXiv (Cornell University) · 2018
- Asynchronous Bidirectional Decoding for Neural Machine Translation
Proceedings of the AAAI Conference on Artificial Intelligence · 2018
- arXiv (Cornell University)×2
- Proceedings of the AAAI Conference on Artificial Intelligence×1
- Artificial Intelligence×1
- Information Sciences×1
- IEEE Transactions on Cybernetics×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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