Scholar
Chang Deng
Google Scholar ID: 51voxF8AAAAJ
University of Chicago
Citations & Impact
Citations
91
H-index
5
i10-index
3
Publications
8
Co-authors
0
Publications
Resume
Academic Achievements
- NeurIPS 2025: "Differentiable Structure Learning for General Binary Data" (first author)
- NeurIPS 2024: "Markov Equivalence and Consistency in Differentiable Structure Learning" (first author)
- Naval Research Logistics 2024: "Data-driven Forecasting and Reference Prices with Exposure Effect" (co-author)
- Statistics and Computing 2024: "High-dimensional sparse single–index regression via Hilbert–Schmidt independence criterion" (co-author)
- NeurIPS 2023: "Global Optimality in Bivariate Gradient-based DAG Learning" (first author)
- ICML 2023: "Optimizing NOTEARS objective via topological swaps" (first author)
- IEEE Big Data 2021: "A simple approach to balance task loss in multi-task learning" (co-author)
- ECML PKDD 2021: "Deep multi-task augmented feature learning via hierarchical graph neural network" (co-author)
- Developed and maintains Dagrad, a Python package for differentiable (gradient-based) structure learning methods
- Serves as reviewer for top conferences: NeurIPS (2024–2025), ICLR (2025), AISTATS (2025), CLeaR (2025), ICML (2025), UAI (2025), AAAI (2026), TMLR