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Pingchuan Ma

10 papers hereh-index 5108 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • physics.optics3
  • cs.AI2
  • cs.ET2
  • cs.CL1
  • cs.CV1
  • cs.LG1
same name
  • Pingchuan Ma — 17 papers, h 21
  • Pingchuan Ma — 10 papers, h 7
  • Pingchuan Ma — 7 papers, h 8
  • Pingchuan Ma — 4 papers, h 29
  • Pingchuan Ma — 2 papers, h 1
  • Pingchuan Ma — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedIs Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing physics.opticsShow all

3 papers · 1 filter

physics.optics2025

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training

Pingchuan Ma, Ziang Yin, Qi Jing +8

DONNs leverage light propagation for efficient analog AI and signal processing. Advances in nanophotonic fabrication and metasurface-based wavefront engineering have opened new pat…

physics.optics2025

MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure

Pingchuan Ma, Zhengqi Gao, Meng Zhang +5

Inverse design has emerged as a transformative approach for photonic device optimization, enabling the exploration of high-dimensional, non-intuitive design spaces to create ultra-…

physics.optics2024

BOSON−1: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization

Pingchuan Ma, Zhengqi Gao, Amir Begovic +6

Nanophotonic device design aims to optimize photonic structures to meet specific requirements across various applications. Inverse design has unlocked non-intuitive, high-dimension…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.