Qiang Qiu
Computer Science · Purdue University West Lafayette
Publications
184
Citations
3,829
Est. group size
~7
Recurring co-author estimate
Active years
25
Publishing since 2002
This researcher's work centers on machine learning topics such as model compression (pruning), robustness to adversarial attacks, domain adaptation, knowledge distillation, and interpretable 'concept-based' models that reduce reliance on spurious data patterns. The bibliographic record also includes unrelated publications on AI tutoring systems and on a leukemia drug study, suggesting the dataset may combine records from more than one author sharing this name. Prospective students should verify which line of work corresponds to the specific lab they are considering.
Publication counts have fluctuated over the last decade, with a notable spike in 2023 followed by a decline in 2024-2025, suggesting variable rather than steadily growing output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Tutor, Not Solver: Designing a Guardrailed AI Assistant for Learning in Higher Education: A Design Case of PeteChat
arXiv (Cornell University) · 2026
- Tutor, Not Solver: Designing a Guardrailed AI Assistant for Learning in Higher Education: A Design Case of PeteChat
arXiv (Cornell University) · 2026
- Improving post-training structured pruning via two-stage reconstruction
Expert Systems with Applications · 2025
- Leveraging Mixture of Experts and Deep Learning-Based Data Rebalancing to Improve Credit Fraud Detection
Big Data and Cognitive Computing · 2024
- Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort
Lecture notes in computer science · 2024
- Structural Re-weighting Improves Graph Domain Adaptation
Zenodo (CERN European Organization for Nuclear Research) · 2023
- Structural Re-weighting Improves Graph Domain Adaptation
Zenodo (CERN European Organization for Nuclear Research) · 2023
- PRECLINICAL AND A PHASE 1 STUDY OF PURINOSTAT MESYLATE, A NOVEL HDAC I/IIB SELECTIVE INHIBITOR, FOR THE TREATMENT OF RELAPSED OR REFRACTORY MULTIPLE MYELOMA
Hematological Oncology · 2023
- Figure S1 from Purinostat Mesylate Is a Uniquely Potent and Selective Inhibitor of HDACs for the Treatment of <i>BCR-ABL</i>–Induced B-Cell Acute Lymphoblastic Leukemia
2023
- Data from Purinostat Mesylate Is a Uniquely Potent and Selective Inhibitor of HDACs for the Treatment of <i>BCR-ABL</i>–Induced B-Cell Acute Lymphoblastic Leukemia
2023
- Data from Purinostat Mesylate Is a Uniquely Potent and Selective Inhibitor of HDACs for the Treatment of <i>BCR-ABL</i>–Induced B-Cell Acute Lymphoblastic Leukemia
2023
- Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
2023
- Learning Adversarially Robust Sparse Networks via Weight Reparameterization
Proceedings of the AAAI Conference on Artificial Intelligence · 2023
- Structural Re-weighting Improves Graph Domain Adaptation
arXiv (Cornell University) · 2023
- Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2023
- arXiv (Cornell University)×38
- Lecture notes in computer science×4
- International Conference on Machine Learning×3
- Neural Information Processing Systems×2
- Zenodo (CERN European Organization for Nuclear Research)×2
- Ze Wang
Computer Science · Purdue University West Lafayette
- Minyoung Kim
Computer Science · The Ohio State University
- Wei‐Lun Chao
Computer Science · The Ohio State University
- Zheda Mai
Computer Science · The Ohio State University
- Kaushik Roy
Computer Science · Purdue University West Lafayette
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 20, 2026.
Claim or correct this profile