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David Zhigang Pan
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2022
[j102]Ki Yong Kim
, David Z. Pan, Ranjit Gharpurey:
A Broadband Spectrum Channelizer With PWM-LO-Based Sub-Band Gain Control. IEEE J. Solid State Circuits 57(3): 781-792 (2022)- [j101]Yibai Meng, Wuxi Li, Yibo Lin, David Z. Pan:
elfPlace: Electrostatics-Based Placement for Large-Scale Heterogeneous FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 155-168 (2022) - [j100]Ahmet Faruk Budak, Miguel Gandara, Wei Shi, David Z. Pan, Nan Sun, Bo Liu:
An Efficient Analog Circuit Sizing Method Based on Machine Learning Assisted Global Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1209-1221 (2022) - [j99]Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel:
MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3162-3181 (2022) - [j98]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2581-2585 (2022) - [c260]Keren Zhu, Hao Chen, Mingjie Liu, David Z. Pan:
Automating Analog Constraint Extraction: From Heuristics to Learning: (Invited Paper). ASP-DAC 2022: 108-113 - [c259]Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan:
DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. ASP-DAC 2022: 300-306 - [c258]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC 2022: 332-338 - [c257]Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, David Z. Pan:
Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). ASP-DAC 2022: 500-505 - [c256]Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Wei Shi, Nan Sun, David Z. Pan:
Generative-Adversarial-Network-Guided Well-Aware Placement for Analog Circuits. ASP-DAC 2022: 519-525 - [c255]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - [c254]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC 2022: 1-6 - [c253]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC 2022: 655-660 - [c252]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC 2022: 937-942 - [c251]Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin:
A timing engine inspired graph neural network model for pre-routing slack prediction. DAC 2022: 1207-1212 - [c250]Hao Chen, Walker J. Turner, David Z. Pan, Haoxing Ren:
Routability-Aware Placement for Advanced FinFET Mixed-Signal Circuits using Satisfiability Modulo Theories. DATE 2022: 160-165 - [c249]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA 2022: 692-708 - [c248]David Z. Pan:
EDAML 2022 Keynote Speaker: Machine Learning for Agile, Intelligent and Open-Source EDA. IPDPS Workshops 2022: 1181 - [c247]Hao Chen, Walker J. Turner, Sanquan Song, Keren Zhu, George F. Kokai, Brian Zimmer, C. Thomas Gray, Brucek Khailany, David Z. Pan, Haoxing Ren:
AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies. ISPD 2022: 175-183 - [c246]Gracieli Posser, Evangeline F. Y. Young, Stephan Held, Yih-Lang Li, David Z. Pan:
Challenges and Approaches in VLSI Routing. ISPD 2022: 185-192 - [c245]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD 2022: 35-41 - [c244]Zixuan Jiang, Mingjie Liu, Zizheng Guo, Shuhan Zhang, Yibo Lin, David Z. Pan:
A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation. MLCAD 2022: 135-141 - [i42]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR abs/2202.13239 (2022) - [i41]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR abs/2207.06412 (2022) - [i40]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. CoRR abs/2208.00311 (2022) - [i39]Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Z. Pan, Bei Yu:
Rethinking Graph Neural Networks for the Graph Coloring Problem. CoRR abs/2208.06975 (2022) - [i38]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR abs/2208.08099 (2022) - [i37]Keren Zhu, Hao Chen, Walker J. Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing Ren:
TAG: Learning Circuit Spatial Embedding From Layouts. CoRR abs/2209.03465 (2022) - [i36]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR abs/2209.10098 (2022) - [i35]Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren:
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR abs/2210.15765 (2022) - [i34]Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han:
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR abs/2210.16724 (2022) - [i33]Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan:
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. CoRR abs/2211.16749 (2022) - 2021
- [j97]Hao Chen, Mingjie Liu, Biying Xu, Keren Zhu, Xiyuan Tang, Shaolan Li, Yibo Lin, Nan Sun, David Z. Pan:
MAGICAL: An Open- Source Fully Automated Analog IC Layout System from Netlist to GDSII. IEEE Des. Test 38(2): 19-26 (2021) - [j96]Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan:
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 373-385 (2021) - [j95]Junzhe Cai, Changhao Yan, Yudong Tao, Yibo Lin, Sheng-Guo Wang, David Z. Pan, Xuan Zeng:
A Novel and Unified Full-Chip CMP Model Aware Dummy Fill Insertion Framework With SQP-Based Optimization Method. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(3): 603-607 (2021) - [j94]Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan:
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 748-761 (2021) - [j93]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1796-1809 (2021) - [j92]Wei Li, Yuzhe Ma, Qi Sun, Lu Zhang, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open-Source Layout Decomposer. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2331-2344 (2021) - [c243]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. AAAI 2021: 7583-7591 - [c242]Xiaohan Gao, Chenhui Deng, Mingjie Liu, Zhiru Zhang, David Z. Pan, Yibo Lin:
Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks. ASP-DAC 2021: 152-157 - [c241]Hao Chen, Mingjie Liu, Xiyuan Tang, Keren Zhu, Abhishek Mukherjee, Nan Sun, David Z. Pan:
MAGICAL 1.0: An Open-Source Fully-Automated AMS Layout Synthesis Framework Verified With a 40-nm 1GS/s Δ∑ ADC. CICC 2021: 1-2 - [c240]Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun:
An In-Memory-Computing Charge-Domain Ternary CNN Classifier. CICC 2021: 1-2 - [c239]Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap:
DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. DAC 2021: 1219-1224 - [c238]Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan:
Universal Symmetry Constraint Extraction for Analog and Mixed-Signal Circuits with Graph Neural Networks. DAC 2021: 1243-1248 - [c237]Xiaohan Gao, Mingjie Liu, David Z. Pan, Yibo Lin:
Interactive Analog Layout Editing with Instant Placement Legalization. DAC 2021: 1249-1254 - [c236]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators. DATE 2021: 238-243 - [c235]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c234]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
O2NN: Optical Neural Networks with Differential Detection-Enabled Optical Operands. DATE 2021: 1062-1067 - [c233]Mingjie Liu, Walker J. Turner, George F. Kokai, Brucek Khailany, David Z. Pan, Haoxing Ren:
Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization. DATE 2021: 1372-1377 - [c232]Mingjie Liu, Xiyuan Tang, Keren Zhu, Hao Chen, Nan Sun, David Z. Pan:
OpenSAR: An Open Source Automated End-to-end SAR ADC Compiler. ICCAD 2021: 1-9 - [c231]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. ICCV 2021: 5209-5218 - [c230]Xiyuan Tang, Xiangxing Yang, Jiaxin Liu, Wei Shi, David Z. Pan, Nan Sun:
A 0.4-to-40MS/s 75.7dB-SNDR Fully Dynamic Event-Driven Pipelined ADC with 3-Stage Cascoded Floating Inverter Amplifier. ISSCC 2021: 376-378 - [c229]Mohamed Baker Alawieh, David Z. Pan:
ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection. MLCAD 2021: 1-6 - [c228]Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. MLCAD 2021: 1-3 - [c227]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. NeurIPS 2021: 8649-8661 - [i32]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan:
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. CoRR abs/2104.00237 (2021) - [i31]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR abs/2107.10845 (2021) - [i30]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. CoRR abs/2108.11430 (2021) - [i29]Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. CoRR abs/2109.02587 (2021) - [i28]Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap:
DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. CoRR abs/2110.00211 (2021) - [i27]Zixuan Jiang, Jiaqi Gu, David Z. Pan:
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. CoRR abs/2110.01172 (2021) - [i26]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. CoRR abs/2110.11331 (2021) - [i25]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. CoRR abs/2110.14807 (2021) - [i24]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR abs/2111.01236 (2021) - [i23]Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen:
Silicon photonic subspace neural chip for hardware-efficient deep learning. CoRR abs/2111.06705 (2021) - [i22]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. CoRR abs/2112.08512 (2021) - [i21]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. CoRR abs/2112.08703 (2021) - 2020
- [j91]Jing Chen, Mohamed Baker Alawieh, Yibo Lin, Maolin Zhang, Jun Zhang, Yufeng Guo, David Z. Pan:
Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks. IEEE Access 8: 25372-25382 (2020) - [j90]David Z. Pan:
Report on the 38th ACM/IEEE International Conference on Computer-Aided Design (ICCAD 2019). IEEE Des. Test 37(2): 121-122 (2020) - [j89]Wenda Zhao, Shaolan Li, Biying Xu, Xiangxing Yang, Xiyuan Tang, Linxiao Shen, Nanshu Lu, David Z. Pan, Nan Sun:
A 0.025-mm2 0.8-V 78.5-dB SNDR VCO-Based Sensor Readout Circuit in a Hybrid PLL- ΔΣ M Structure. IEEE J. Solid State Circuits 55(3): 666-679 (2020) - [j88]Xiyuan Tang, Linxiao Shen, Begum Kasap, Xiangxing Yang, Wei Shi, Abhishek Mukherjee, David Z. Pan, Nan Sun:
An Energy-Efficient Comparator With Dynamic Floating Inverter Amplifier. IEEE J. Solid State Circuits 55(4): 1011-1022 (2020) - [j87]Shaolan Li, David Z. Pan, Nan Sun:
An OTA-Less Second-Order VCO-Based CT $\Delta\Sigma$ Modulator Using an Inherent Passive Integrator and Capacitive Feedback. IEEE J. Solid State Circuits 55(5): 1337-1350 (2020) - [j86]Xiyuan Tang, Shaolan Li, Xiangxing Yang, Linxiao Shen, Wenda Zhao, Randall P. Williams, Jiaxin Liu, Zhichao Tan, Neal A. Hall, David Z. Pan, Nan Sun:
An Energy-Efficient Time-Domain Incremental Zoom Capacitance-to-Digital Converter. IEEE J. Solid State Circuits 55(11): 3064-3075 (2020) - [j85]Xiyuan Tang, Xiangxing Yang, Wenda Zhao, Chen-Kai Hsu, Jiaxin Liu, Linxiao Shen, Abhishek Mukherjee, Wei Shi, Shaolan Li, David Z. Pan, Nan Sun:
A 13.5-ENOB, 107-μW Noise-Shaping SAR ADC With PVT-Robust Closed-Loop Dynamic Amplifier. IEEE J. Solid State Circuits 55(12): 3248-3259 (2020) - [j84]Ying Chen, Yibo Lin, Tianyang Gai, Yajuan Su, Yayi Wei, David Z. Pan:
Semisupervised Hotspot Detection With Self-Paced Multitask Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(7): 1511-1523 (2020) - [j83]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4482-4495 (2020) - [j82]Yibo Lin, Wuxi Li, Jiaqi Gu, Haoxing Ren, Brucek Khailany, David Z. Pan:
ABCDPlace: Accelerated Batch-Based Concurrent Detailed Placement on Multithreaded CPUs and GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5083-5096 (2020) - [j81]Taehyun Kwon, Muhammad Imran, David Z. Pan, Joon-Sung Yang:
Virtual-Tile-Based Flip-Flop Alignment Methodology for Clock Network Power Optimization. IEEE Trans. Very Large Scale Integr. Syst. 28(5): 1256-1268 (2020) - [c226]Mohamed Baker Alawieh, Wuxi Li, Yibo Lin, Love Singhal, Mahesh A. Iyer, David Z. Pan:
High-Definition Routing Congestion Prediction for Large-Scale FPGAs. ASP-DAC 2020: 26-31 - [c225]Mingjie Liu, Wuxi Li, Keren Zhu, Biying Xu, Yibo Lin, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan:
S3DET: Detecting System Symmetry Constraints for Analog Circuits with Graph Similarity. ASP-DAC 2020: 193-198 - [c224]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Mingjie Liu, Ray T. Chen, David Z. Pan:
Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture. ASP-DAC 2020: 476-481 - [c223]Mohamed Baker Alawieh, Duane S. Boning, David Z. Pan:
Wafer Map Defect Patterns Classification using Deep Selective Learning. DAC 2020: 1-6 - [c222]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan:
FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization. DAC 2020: 1-6 - [c221]Navid Khoshavi, Arman Roohi, Connor Broyles, Saman Sargolzaei, Yu Bi, David Z. Pan:
SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. DAC 2020: 1-6 - [c220]Mingjie Liu, Keren Zhu, Xiyuan Tang, Biying Xu, Wei Shi, Nan Sun, David Z. Pan:
Closing the Design Loop: Bayesian Optimization Assisted Hierarchical Analog Layout Synthesis. DAC 2020: 1-6 - [c219]Mingjie Liu, Keren Zhu, Jiaqi Gu, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan:
Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning. DATE 2020: 496-501 - [c218]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. DATE 2020: 1586-1589 - [c217]Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan:
An Efficient Training Framework for Reversible Neural Architectures. ECCV (27) 2020: 275-289 - [c216]Rachel Selina Rajarathnam, Yibo Lin, Yier Jin, David Z. Pan:
ReGDS: A Reverse Engineering Framework from GDSII to Gate-level Netlist. HOST 2020: 154-163 - [c215]Mohamed Baker Alawieh, Wei Ye, David Z. Pan:
Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning : (Invited Talk). ICCAD 2020: 12:1-12:8 - [c214]Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan:
Toward Silicon-Proven Detailed Routing for Analog and Mixed-Signal Circuits. ICCAD 2020: 18:1-18:8 - [c213]Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan:
Effective Analog/Mixed-Signal Circuit Placement Considering System Signal Flow. ICCAD 2020: 133:1-133:9 - [c212]Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan:
DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. ICCAD 2020: 143:1-143:9 - [c211]Wei Ye, Mohamed Baker Alawieh, Yuki Watanabe, Shigeki Nojima, Yibo Lin, David Z. Pan:
TEMPO: Fast Mask Topography Effect Modeling with Deep Learning. ISPD 2020: 127-134 - [c210]Xiyuan Tang, Xiangxing Yang, Wenda Zhao, Chen-Kai Hsu, Jiaxin Liu, Linxiao Shen, Abhishek Mukherjee, Wei Shi, David Z. Pan, Nan Sun:
9.5 A 13.5b-ENOB Second-Order Noise-Shaping SAR with PVT-Robust Closed-Loop Dynamic Amplifier. ISSCC 2020: 162-164 - [c209]Raviv Gal, David Z. Pan, Haoxing Ren, Manish Pandey, Marilyn Wolf, Avi Ziv:
ML for CAD - Where is the Treasure Hiding? MLCAD 2020: 137 - [c208]Keren Zhu, Mingjie Liu, Hao Chen, Zheng Zhao, David Z. Pan:
Exploring Logic Optimizations with Reinforcement Learning and Graph Convolutional Network. MLCAD 2020: 145-150 - [i20]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). CoRR abs/2003.00862 (2020) - [i19]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR abs/2012.02530 (2020) - [i18]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. CoRR abs/2012.11148 (2020)
2010 – 2019
- 2019
- [j80]Derong Liu, Bei Yu, Vinicius S. Livramento, Salim Chowdhury, Duo Ding, Huy Vo, Akshay Sharma, David Z. Pan:
Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1147-1160 (2019) - [j79]Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan:
Provably Secure Camouflaging Strategy for IC Protection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(8): 1399-1412 (2019) - [j78]Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan:
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(9): 1585-1598 (2019) - [j77]Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan:
Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1900-1913 (2019) - [j76]Wuxi Li, David Z. Pan:
A New Paradigm for FPGA Placement Without Explicit Packing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(11): 2113-2126 (2019) - [j75]