Pan, David Z.

7 publications

AAAI 2025 AnalogCoder: Analog Circuit Design via Training-Free Code Generation Yao Lai, Sungyoung Lee, Guojin Chen, Souradip Poddar, Mengkang Hu, David Z. Pan, Ping Luo

NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan

NeurIPS 2024 Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo

CVPR 2022 Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

AAAI 2021 Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan

ICCV 2021 Towards Memory-Efficient Neural Networks via Multi-Level in Situ Generation Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan

ECCV 2020 An Efficient Training Framework for Reversible Neural Architectures Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan