| DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement Y Lin, Z Jiang, J Gu, W Li, S Dhar, H Ren, B Khailany, DZ Pan IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 253 | 2020 |
| Multi-scale high-resolution vision transformer for semantic segmentation J Gu, H Kwon, D Wang, W Ye, M Li, YH Chen, L Lai, V Chandra, DZ Pan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 222 | 2022 |
| QuantumNAS: Noise-adaptive search for robust quantum circuits H Wang, Y Ding, J Gu, Z Li, Y Lin, DZ Pan, FT Chong, S Han IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022 | 158 | 2022 |
| Electronic-photonic arithmetic logic unit for high-speed computing Z Ying, C Feng, Z Zhao, S Dhar, H Dalir, J Gu, Y Cheng, R Soref, DZ Pan, ... Nature communications 11 (1), 2154, 2020 | 132 | 2020 |
| QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization H Wang, J Gu, Y Ding, Z Li, FT Chong, DZ Pan, S Han ACM/IEEE Design Automation Conference (DAC), 2022 | 68* | 2022 |
| A timing engine inspired graph neural network model for pre-routing slack prediction Z Guo, M Liu, J Gu, S Zhang, DZ Pan, Y Lin Proceedings of the 59th ACM/IEEE Design Automation Conference, 1207-1212, 2022 | 66 | 2022 |
| QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning H Wang, Z Li, J Gu, Y Ding, DZ Pan, S Han ACM/IEEE Design Automation Conference (DAC), 2022 | 60* | 2022 |
| Towards area-efficient optical neural networks: an FFT-based architecture J Gu, Z Zhao, C Feng, M Liu, RT Chen, DZ Pan 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 476-481, 2020 | 59 | 2020 |
| Abcdplace: Accelerated batch-based concurrent detailed placement on multithreaded cpus and gpus Y Lin, W Li, J Gu, H Ren, B Khailany, DZ Pan IEEE transactions on computer-aided design of integrated circuits and …, 2020 | 52 | 2020 |
| Towards decrypting the art of analog layout: Placement quality prediction via transfer learning M Liu, K Zhu, J Gu, L Shen, X Tang, N Sun, DZ Pan 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 496-501, 2020 | 50 | 2020 |
| A Compact Butterfly-Style Silicon Photonic–Electronic Neural Chip for Hardware-Efficient Deep Learning C Feng*, J Gu*, H Zhu, Z Ying, Z Zhao, DZ Pan, RT Chen ACS Photonics (*Co-first authors), 2022 | 47* | 2022 |
| TorchQuantum Case Study for Robust Quantum Circuits H Wang, P Liu, J Cheng, Z Liang, J Gu, Z Li, Y Ding, W Jiang, Y Shi, ... IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022 | 45* | 2022 |
| High-resolution image reconstruction for portable ultrasound imaging devices R Wang, Z Fang, J Gu, Y Guo, S Zhou, Y Wang, C Chang, J Yu EURASIP Journal on Advances in Signal Processing 2019, 1-12, 2019 | 38 | 2019 |
| Delving into effective gradient matching for dataset condensation Z Jiang, J Gu, M Liu, DZ Pan 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2023 | 37 | 2023 |
| DREAMPlace 3.0: Multi-electrostatics based robust VLSI placement with region constraints J Gu, Z Jiang, Y Lin, DZ Pan 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020 | 37 | 2020 |
| Logic synthesis meets machine learning: Trading exactness for generalization S Rai, WL Neto, Y Miyasaka, X Zhang, M Yu, Q Yi, M Fujita, GB Manske, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 35 | 2021 |
| SqueezeLight: Towards scalable optical neural networks with multi-operand ring resonators J Gu, C Feng, Z Zhao, Z Ying, M Liu, RT Chen, DZ Pan 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 238-243, 2021 | 32 | 2021 |
| ROQ: A noise-aware quantization scheme towards robust optical neural networks with low-bit controls J Gu, Z Zhao, C Feng, H Zhu, RT Chen, DZ Pan 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 31 | 2020 |
| Toward hardware-efficient optical neural networks: Beyond FFT architecture via joint learnability J Gu, Z Zhao, C Feng, Z Ying, M Liu, RT Chen, DZ Pan IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 28 | 2020 |
| Deep generative adversarial networks for thin-section infant MR image reconstruction J Gu, Z Li, Y Wang, H Yang, Z Qiao, J Yu IEEE Access 7, 68290-68304, 2019 | 26 | 2019 |
David Z. PanProfessor, Silicon Labs Endowed Chair, ECE Dept., University of Texas at AustinVerified email at ece.utexas.edu
