I am a graph learning and combinatorial optimization researcher pursuing a PhD under Prof. Yusu Wang, University of California San Diego.
- Graph & Hypergraph Neural Networks (DE-HNN for circuit netlist representation)
- Differentiable Optimization over Permutations (with rounding guarantees)
- ML Infrastructure & Many-body Potentials (MB-Fit framework)
- Neuroscience & Memory Consolidation (verbal long-term memory via fMRI)
-
DE-HNN: An Effective Neural Model for Circuit Netlist Representation
- AISTATS 2024, CoRR 2024 :contentReference[oaicite:2]{index=2}
- Introduces a Directional Equivariant Hypergraph Neural Network, modeling netlists as directed hypergraphs. Achieves universal approximation under permutation equivariance/invariance and outperforms SOTA models in place-and-route outcome prediction :contentReference[oaicite:3]{index=3}.
-
Differentiable Extensions with Rounding Guarantees for Combinatorial Optimization over Permutations
- CoRR 2024 :contentReference[oaicite:4]{index=4}
- Presents the Birkhoff Extension (BE): a differentiable, continuous, polynomial-time computable extension from permutations to doubly stochastic matrices. Guarantees efficient rounding without loss of objective value and enables gradient-based optimization for permutation objectives :contentReference[oaicite:5]{index=5}.
-
Human Brain Activity & Functional Connectivity for Verbal Long-Term Memory Consolidation (1-Month fMRI Study)
- Frontiers in Human Neuroscience, February 2024 :contentReference[oaicite:6]{index=6}
- Identifies brain activity and connectivity shifts (e.g., hippocampus, vmPFC) over memory aging from 1 hour to 1 month, supporting standard systems consolidation theories :contentReference[oaicite:7]{index=7}.
-
“Short Blanket” Dilemma for Neural Network Potentials of Water
- J. Chemical Physics, February 2023 :contentReference[oaicite:8]{index=8}
- Highlights the trade-off: DNN potentials can replicate MB-pol liquid water accuracy but fail on vapor-liquid equilibrium due to poor many-body interaction learning.
- 2024 Qualcomm Innovation Fellowship for the project "Explainable Graph Learning for Property Prediction on Netlist Representations" :contentReference[oaicite:9]{index=9}.