Scholar
Lingkai Kong
Google Scholar ID: k8IUG9cAAAAJ
Harvard University
Citations & Impact
Citations
992
H-index
14
i10-index
17
Publications
20
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data' (NeurIPS’25), 'Robust Optimization with Diffusion Models for Green Security' (UAI’25), 'Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints' (AISTATS’25), 'Aligning Large Language Models with Representation Editing: A Control Perspective' (NeurIPS’24), 'AdaPlanner: Adaptive Planning from Feedback with Language Models' (NeurIPS’23), 'End-to-End Stochastic Optimization with Energy-Based Model' (NeurIPS’22), 'SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates' (ICML’20), etc.
Research Experience
- Postdoctoral Fellow at Harvard University; Works closely with domain experts to ensure that the methods designed address specific domain challenges and deliver practical impact.
Education
- Ph.D. in Computational Science and Engineering from Georgia Institute of Technology, Advisor: Prof. Chao Zhang; Postdoc at Harvard University, Advisor: Prof. Milind Tambe
Background
- Research Interests: Generative AI, Optimization, Reinforcement Learning; Professional Field: Public Health and Environmental Sustainability; Brief Introduction: Postdoctoral Fellow at Harvard University, dedicated to making reliable and efficient decisions under uncertainty.
Miscellany
- The personal website is powered by Jekyll with the al-folio theme. Hosted on GitHub Pages. Photos from Unsplash.
