Wei-Ting Tang
Engineering · The Ohio State University
Publications
29
Citations
143
Est. group size
~1
Recurring co-author estimate
Active years
23
Publishing since 2004
Wei-Ting Tang works on optimization methods for engineering systems, with particular focus on Bayesian optimization (a technique for efficiently finding the best settings of expensive-to-evaluate systems using probabilistic models) and its application to problems like chemical process design, distillation energy efficiency, and building energy simulation. Recent work develops new algorithms for high-dimensional and multi-objective optimization problems, alongside applied studies in process systems engineering and building control validation.
Publication output was sparse and irregular through the late 2010s but has grown substantially since 2022, reaching its highest levels in 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Multi‐Objective Bayesian Optimization for Networked Black‐Box Systems: A Path to Greener Profits and Smarter Designs
2026
- Rethinking Trust Region Bayesian Optimization in High Dimensions
arXiv (Cornell University) · 2026
- Rethinking Trust Region Bayesian Optimization in High Dimensions
arXiv (Cornell University) · 2026
- An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions
arXiv (Cornell University) · 2026
- An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions
arXiv (Cornell University) · 2026
- Experimental and computational investigation of mixing dynamics in millifluidic jet mixing reactors
Chemical Engineering Journal · 2025
- Time-series generative networks for synthesizing realistic scenarios in occupant-centric building simulation
Building Simulation · 2025
- AI-Driven scenario discovery: Diffusion models and multi-armed bandits for building control validation
Energy and Buildings · 2025
- Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering
2025
- NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information
arXiv (Cornell University) · 2025
- A review of energy intensification strategies for distillation processes: Cyclic operation, stacking, heat pumps, side-streams, dividing walls and beyond
Separation and Purification Technology · 2024
- Combinatorial energy intensification of a ternary distillation process
Chemical Engineering and Processing - Process Intensification · 2024
- Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks
2024
- CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization
arXiv (Cornell University) · 2024
- BEACON: A Bayesian Optimization Inspired Strategy for Efficient Novelty Search
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×7
- Industrial & Engineering Chemistry Research×3
- Computers & Chemical Engineering×3
- Separation and Purification Technology×2
- Chemical Engineering Science×1
- Joel A. Paulson
Engineering · The Ohio State University
- Akshay Kudva
Engineering · The Ohio State University
- Xiaodong Zhang
Engineering · The Ohio State University
- Linas Mockus
Engineering · Purdue University West Lafayette
- Zoltan K. Nagy
Engineering · 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 19, 2026.
Claim or correct this profile