Ming Shi
Computer Science · The Ohio State University
Publications
73
Citations
403
Est. group size
~2
Recurring co-author estimate
Active years
35
Publishing since 1992
This publication record appears to combine work from multiple distinct research areas, including online learning and optimization algorithms for networked and energy systems (such as bandit algorithms, online convex optimization, and scheduling with switching costs), as well as separate work on marine current turbine fault detection and robotic motion learning. Because the topics and venues are so varied, this may reflect either a broad research portfolio or a name that corresponds to more than one researcher in the underlying data. Prospective students should verify which specific line of work and institutional affiliation matches their interests.
Publication output has fluctuated over the last decade, with a peak in 2021 (8 papers) followed by a decline and a more moderate, uneven pace in recent years (about 3 per year on average over the last five years).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Bi-Level Online Provisioning and Scheduling with Switching Costs and Cross-Level Constraints
2026
- Eco‐morphodynamic response of deltaic salt marshes to successive extreme storms
Limnology and Oceanography · 2026
- Power-of-2-Arms for Adversarial Bandit Learning With Switching Costs
IEEE Transactions on Networking · 2025
- Power Stability Management for Renewable Energy Resources using Big Data Analysis
Scalable Computing Practice and Experience · 2025
- Online Learning for Optimizing AoI-Energy Tradeoff under Unknown Channel Statistics
2025
- Combining Regularization With Look-Ahead for Competitive Online Convex Optimization
IEEE/ACM Transactions on Networking · 2024
- Machine Learning Based Audio Analysis to Detect Fraud Call in 4G-5G Wireless Networks
Lecture notes in networks and systems · 2024
- Adversarial Online Reinforcement Learning Under Limited Defender Resources
Advances in information security · 2024
- A Locational Marginal Price Forecast Method Considering the Spatial Relation in Input Features
2024
- Designing Near-Optimal Partially Observable Reinforcement Learning
2024
- Advanced High-Efficiency Column Internals for Layout and Height Optimization of FPSO TEG Contactor and Reducing TEG Loss
2023
- Generalization of orientation trajectories and force–torque profiles for learning human assembly skill
Robotics and Computer-Integrated Manufacturing · 2022
- Power-of-2-arms for bandit learning with switching costs
2022
- Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks
2022
- Competitive Online Convex Optimization With Switching Costs and Ramp Constraints
IEEE/ACM Transactions on Networking · 2021
- IEEE/ACM Transactions on Networking×2
- Robotics and Computer-Integrated Manufacturing×1
- Ocean Engineering×1
- Computers & Electrical Engineering×1
- China Ocean Engineering×1
- Shivam Bajaj
Computer Science · Purdue University West Lafayette
- Shai Vardi
Computer Science · Purdue University West Lafayette
- Tianyu Wang
Decision Sciences · The Ohio State University
- Mohammad Pedramfar
Decision Sciences · Purdue University West Lafayette
- Desheng Liu
Engineering · 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 19, 2026.
Claim or correct this profile