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Peiyu Zhang

5 accepted papers

2025

End-to-End Learning Framework for Solving Non-Markovian Optimal Control

ICML 2025poster

Integer-order calculus fails to capture the long-range dependence (LRD) and memory effects found in many complex systems. Fractional calculus addresses these gaps through fractional-order integrals and derivatives, but fractional-order dynamical systems pose substantial challenges in system identifi…

Cited by 0SourcePDFScholar
2025

MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction

NeurIPS 2025poster

With AI advancement and increasing circuit complexity, efficient chip design through Electronic Design Automation (EDA) is critical. Fast and accurate congestion prediction in chip layout and routing can significantly enhance automated design performance. Existing congestion modeling methods are lim…

Cited by 0SourceScholar
2024

A Structure-Aware Framework for Learning Device Placements on Computation Graphs

NeurIPS 2024poster

Computation graphs are Directed Acyclic Graphs (DAGs) where the nodes correspond to mathematical operations and are used widely as abstractions in optimizations of neural networks. The device placement problem aims to identify optimal allocations of those nodes to a set of (potentially heterogeneous…

2023

Unlimited Sampling in Phase Space

ICASSP 2023accepted

The Unlimited Sampling Framework (USF) is an alternative sampling and reconstruction protocol that allows for recovery of signals that are arbitrarily larger than the dynamic range of the analog-to-digital converter (ADC). In the USF, modulo non-linearity prior to sampling folds high dynamic range i…

Cited by 0SourceScholar