Vaneet Aggarwal
Computer Science · Purdue University West Lafayette
Publications
545
Citations
6,478
Est. group size
~17
Recurring co-author estimate
Active years
21
Publishing since 2006
Vaneet Aggarwal works on machine learning and networked systems, spanning reinforcement learning, optimization, and applications to computer networks, data centers, and medical imaging/signal analysis. Recent work covers topics like quantum reinforcement learning, network traffic engineering, large language model alignment, and multi-modal learning for healthcare data such as ECGs and brain imaging. The group produces a high volume of work across theoretical algorithm design and applied systems problems.
Publication output grew substantially from 2017 to a peak in 2023, then shows a moderate decline through 2025, with 2026 figures still incomplete.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
Communications in computer and information science · 2026
- Order-Optimal Sample Complexity of Rectified Flows
arXiv (Cornell University) · 2026
- PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
arXiv (Cornell University) · 2026
- LiSFC-Search: Lifelong Search for Network SFC Optimization under Non-stationary Drifts
2026
- Maximizing the Spread of Influence through a Social Network Using Partial Incentives
Journal of Artificial Intelligence Research · 2026
- Non-Expansive Two-Time-Scale Stochastic Approximation: A Fixed-Schedule One-Quarter Barrier and Bias-Corrected Acceleration
arXiv (Cornell University) · 2026
- Modeling Brain Aging With Explainable Triamese ViT: Towards Deeper Insights Into Autism Disorder
IEEE Journal of Biomedical and Health Informatics · 2025
- Shooting Large-scale Traffic Engineering by Combining Deep Learning and Optimization Approach
Proceedings of the ACM on Networking · 2025
- Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
arXiv (Cornell University) · 2025
- Stochastic Submodular Bandits With Delayed Composite Anonymous Bandit Feedback
IEEE Transactions on Artificial Intelligence · 2025
- Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration
arXiv (Cornell University) · 2025
- Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
arXiv (Cornell University) · 2025
- Sustainable Synergy: Green Techno HRM in Action
Springer proceedings in business and economics · 2025
- Rack Position Optimization in Large-Scale Heterogeneous Data Centers
Proceedings of the International Conference on Automated Planning and Scheduling · 2025
- arXiv (Cornell University)×181
- IEEE/ACM Transactions on Networking×11
- IEEE Transactions on Network and Service Management×7
- IEEE Transactions on Intelligent Transportation Systems×6
- IEEE Transactions on Mobile Computing×6
- Yijing Liu
Computer Science · The Ohio State University
- Aly El Gamal
Computer Science · Purdue University West Lafayette
- Kannan Srinivasan
Computer Science · The Ohio State University
- C. Emre Koksal
Engineering · The Ohio State University
- Ahmed Bendary
Computer Science · The Ohio State University
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