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Zhengqi Gao

Identifiers

  • name variant Zhengqi Gao 0.60 · backfill

Papers (20)

  1. SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training physics.optics · 2025 · author #4
  2. MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure physics.optics · 2025 · author #2
  3. REG: Rectified Gradient Guidance for Conditional Diffusion Models cs.CV · 2025 · author #1
  4. BOSON$^{-1}$: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization physics.optics · 2024 · author #2
  5. PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation physics.comp-ph · 2024 · author #3
  6. A Generalization Theory of Cross-Modality Distillation with Contrastive Learning cs.LG · 2024 · author #4
  7. KirchhoffNet: A Scalable Ultra Fast Analog Neural Network cs.LG · 2023 · author #1
  8. Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction cs.LG · 2023 · author #3
  9. Provable Routing Analysis of Programmable Photonics cs.ET · 2023 · author #1
  10. A Review of Bayesian Methods in Electronic Design Automation stat.AP · 2023 · author #1
  11. NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation cs.ET · 2022 · author #2
  12. Automatic Synthesis of Light Processing Functions for Programmable Photonics: Theory and Realization cs.ET · 2022 · author #1
  13. Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion cs.LG · 2022 · author #1
  14. A Simple Data Mixing Prior for Improving Self-Supervised Learning cs.CV · 2022 · author #3
  15. The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation cs.CV · 2022 · author #2
  16. Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization cs.CV · 2022 · author #1
  17. Variational Quantum Pulse Learning quant-ph · 2022 · author #6
  18. Co-advise: Cross Inductive Bias Distillation cs.CV · 2021 · author #2
  19. Multimodal Knowledge Expansion cs.CV · 2021 · author #3
  20. Projection based Active Gaussian Process Regression for Pareto Front Modeling cs.LG · 2020 · author #1

Mentions

  • 2505.18377 #4 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2501.18865 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2503.01046 #2 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2411.08210 #2 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2406.17810 #3 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2405.03355 #4 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2310.15872 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2310.15416 #3 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2306.12607 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2304.09723 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2206.06487 #2 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2208.14453 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2209.10098 #2 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2203.17267 #6 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2207.11327 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2206.07692 #3 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2204.02485 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2103.14431 #3 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2106.12378 #2 · arxiv_oai · confidence 0.70 Zhengqi Gao
  • 2001.07072 #1 · arxiv_oai · confidence 0.70 Zhengqi Gao

Frequent Coauthors