Scholar
Daolang Huang
Google Scholar ID: 2togGHoAAAAJ
Aalto University
Citations & Impact
Citations
96
H-index
5
i10-index
2
Publications
13
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition' accepted as Spotlight (Top 3.2%) at NeurIPS 2025
- Paper 'PABBO: Preferential Amortized Black-Box Optimization' accepted as Spotlight (Top 5.1%) at ICLR 2025
- Two papers accepted at AISTATS 2025: 'Amortized Probabilistic Conditioning for Optimization, Simulation and Inference' and 'Cost-aware Simulation-based Inference'
- Paper 'Amortized Bayesian experimental design for decision-making' accepted at NeurIPS 2024
- Two papers accepted at NeurIPS 2023: 'Learning robust statistics for simulation-based inference under model misspecification' and 'Practical Equivariances via Relational Conditional Neural Processes'
- Paper 'Augmenting Bayesian Optimization with Preference based Expert Feedback' accepted at ICML 2023 workshop on The Many Facets of Preference-based Learning
- May 2025: Awarded Encouragement Grant by The Finnish Foundation for Technology Promotion
- Oct 2024: Selected as top 3 nominee for AI Researcher of the Year by AI Finland
Research Experience
- Affiliated with the Probabilistic Machine Learning group at Aalto University
- Affiliated with the Machine and Human Intelligence group at the University of Helsinki
- Oct 2025: Invited talk and short visit at RainML Lab, University of Oxford
- Sep 2025: Invited talk at Seminar on Computational Engineering, LUT Lappeenranta
- Jun 2025: Talk at workshop 'Accelerating statistical inference and experimental design with machine learning', Isaac Newton Institute, Cambridge
- Nov 2023: Talk on conditional neural processes at Mathematical Perspective on Machine Learning Seminar, University of Helsinki
- Nov 2023: Talk on RCNP paper at Finland AI Day 2023
- Aug 2023: Presented work and introduced FCAI amortized inference team at Ellis Doctoral Symposium (EDS) 2023
