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ORCIDBei Yu 0001
Person information
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (PhD 2014): University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
Other persons with the same name
- Bei Yu — disambiguation page
- Bei Yu 0002
![[0000-0001-5425-0011]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5425-0011")
— Syracuse University, School of Information Studies, NY, USA (and 1 more)
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2020 – today
- 2022
[j51]Haocheng Li, Wing-Kai Chow, Gengjie Chen, Bei Yu, Evangeline F. Y. Young:
Pin-Accessible Legalization for Mixed-Cell-Height Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 143-154 (2022)- 2021
- [j50]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI mask optimization: From shallow to deep learning. Integr. 77: 96-103 (2021) - [j49]Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 392-403 (2021) - [j48]Tinghuan Chen, Bingqing Lin, Hao Geng, Shiyan Hu, Bei Yu:
Leveraging Spatial Correlation for Sensor Drift Calibration in Smart Building. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1273-1286 (2021) - [j47]Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu:
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1464-1475 (2021) - [j46]Yiyang Jiang, Fan Yang, Bei Yu, Dian Zhou, Xuan Zeng:
Efficient Layout Hotspot Detection via Binarized Residual Neural Network Ensemble. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1476-1488 (2021) - [j45]Haocheng Li, Satwik Patnaik, Mohammed Ashraf, Haoyu Yang, Johann Knechtel, Bei Yu, Ozgur Sinanoglu, Evangeline F. Y. Young:
Deep Learning Analysis for Split-Manufactured Layouts With Routing Perturbation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 1995-2008 (2021) - [j44]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) - [j43]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [c107]Tinghuan Chen, Qi Sun, Bei Yu:
Machine Learning in Nanometer AMS Design-for-Reliability : (Invited Paper). ASICON 2021: 1-4 - [c106]Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu:
TreeNet: Deep Point Cloud Embedding for Routing Tree Construction. ASP-DAC 2021: 164-169 - [c105]Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Yibo Lin, Bei Yu:
Physical Synthesis for Advanced Neural Network Processors. ASP-DAC 2021: 833-840 - [c104]Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young:
Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC 2021: 885-891 - [c103]Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu:
Analog IC Aging-induced Degradation Estimation via Heterogeneous Graph Convolutional Networks. ASP-DAC 2021: 898-903 - [c102]Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng:
NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis. DAC 2021: 187-192 - [c101]Yifeng Xiao, Miaodi Su, Haoyu Yang, Jianli Chen, Jun Yu, Bei Yu:
Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration. DAC 2021: 907-912 - [c100]Qi Sun, Tinghuan Chen, Siting Liu, Jin Miao, Jianli Chen, Hao Yu, Bei Yu:
Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. DATE 2021: 46-51 - [c99]Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin:
Towards AQFP-Capable Physical Design Automation. DATE 2021: 954-959 - [c98]Qi Sun, Chen Bai, Hao Geng, Bei Yu:
Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning. DATE 2021: 1510-1515 - [c97]Siting Liu, Qi Sun, Peiyu Liao, Yibo Lin, Bei Yu:
Global Placement with Deep Learning-Enabled Explicit Routability Optimization. DATE 2021: 1821-1824 - [c96]Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu:
A GPU-enabled Level Set Method for Mask Optimization. DATE 2021: 1835-1838 - [c95]Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework. ICCAD 2021: 1-9 - [c94]Yang Bai, Xufeng Yao, Qi Sun, Bei Yu:
AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU. ICCAD 2021: 1-9 - [c93]Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu:
DevelSet: Deep Neural Level Set for Instant Mask Optimization. ICCAD 2021: 1-9 - [c92]Hao Geng, Fan Yang, Xuan Zeng, Bei Yu:
When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning. ICCAD 2021: 1-8 - [c91]Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu:
McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs. ICCAD 2021: 1-9 - [c90]Wenqian Zhao, Qi Sun, Yang Bai, Wenbo Li, Haisheng Zheng, Bei Yu, Martin D. F. Wong:
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU. ICCAD 2021: 1-9 - [c89]Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D. F. Wong:
Hotspot Detection via Multi-task Learning and Transformer Encoder. ICCAD 2021: 1-8 - [c88]Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, Bei Yu:
Learning Point Clouds in EDA. ISPD 2021: 55-62 - [i39]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i38]Haoyu Yang, Shuhe Li, Bei Yu:
Routing Towards Discriminative Power of Class Capsules. CoRR abs/2103.04278 (2021) - [i37]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. CoRR abs/2107.12028 (2021) - [i36]Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, Bei Yu, Yuan Yan Tang, Jiaya Jia:
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask. CoRR abs/2109.13788 (2021) - 2020
- [j42]Xingquan Li, Bei Yu, Jianli Chen, Wenxing Zhu:
DSA guiding template assignment with multiple redundant via and dummy via insertion. Integr. 70: 32-42 (2020) - [j41]Qi Xu, Song Chen, Hao Geng, Bo Yuan, Bei Yu, Feng Wu, Zhengfeng Huang:
Fault tolerance in memristive crossbar-based neuromorphic computing systems. Integr. 70: 70-79 (2020) - [j40]Haoyu Yang, Shuhe Li, Zihao Deng, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2822-2834 (2020) - [j39]Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF Insertion via Supervised Dictionary Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2849-2859 (2020) - [j38]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) - [j37]Yuzhe Ma, Wei Zhong, Shuxiang Hu, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu:
A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5069-5082 (2020) - [j36]Qi Xu, Hao Geng, Song Chen, Bei Yu, Feng Wu:
Memristive Crossbar Mapping for Neuromorphic Computing Systems on 3D IC. ACM Trans. Design Autom. Electr. Syst. 25(1): 8:1-8:19 (2020) - [j35]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. 25(5): 48:1-48:31 (2020) - [c87]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. ASP-DAC 2020: 434-439 - [c86]Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu:
Adaptive Layout Decomposition with Graph Embedding Neural Networks. DAC 2020: 1-6 - [c85]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. DAC 2020: 1-6 - [c84]Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Tensor Low-Rank Reconstruction for Semantic Segmentation. ECCV (17) 2020: 52-69 - [c83]Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai:
Dive Deeper into Box for Object Detection. ECCV (22) 2020: 412-428 - [c82]Hao Geng, Haoyu Yang, Lu Zhang, Jin Miao, Fan Yang, Xuan Zeng, Bei Yu:
Hotspot Detection via Attention-based Deep Layout Metric Learning. ICCAD 2020: 16:1-16:8 - [c81]Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. ICCAD 2020: 19:1-19:9 - [c80]Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young:
Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization. ICCAD 2020: 20:1-20:9 - [c79]Qi Sun, Arjun Ashok Rao, Xufeng Yao, Bei Yu, Shiyan Hu:
Counteracting Adversarial Attacks in Autonomous Driving. ICCAD 2020: 83:1-83:7 - [c78]Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong:
Learn to Floorplan through Acquisition of Effective Local Search Heuristics. ICCD 2020: 324-331 - [c77]Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu:
DeepBillboard: systematic physical-world testing of autonomous driving systems. ICSE 2020: 347-358 - [c76]Junpeng Wang, Qi Xu, Bo Yuan, Song Chen, Bei Yu, Feng Wu:
Reliability-Driven Neural Network Training for Memristive Crossbar-Based Neuromorphic Computing Systems. ISCAS 2020: 1-4 - [c75]Yuzhe Ma, Zhuolun He, Wei Li, Lu Zhang, Bei Yu:
Understanding Graphs in EDA: From Shallow to Deep Learning. ISPD 2020: 119-126 - [i35]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) - [i34]Haocheng Li, Satwik Patnaik, Abhrajit Sengupta, Haoyu Yang, Johann Knechtel, Bei Yu, Evangeline F. Y. Young, Ozgur Sinanoglu:
Attacking Split Manufacturing from a Deep Learning Perspective. CoRR abs/2007.03989 (2020) - [i33]Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai:
Dive Deeper Into Box for Object Detection. CoRR abs/2007.14350 (2020) - [i32]Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Tensor Low-Rank Reconstruction for Semantic Segmentation. CoRR abs/2008.00490 (2020) - [i31]Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. CoRR abs/2008.00806 (2020)
2010 – 2019
- 2019
- [j34]Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent advances in convolutional neural network acceleration. Neurocomputing 323: 37-51 (2019) - [j33]Song Chen, Qi Xu, Bei Yu:
Adaptive 3D-IC TSV Fault Tolerance Structure Generation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(5): 949-960 (2019) - [j32]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) - [j31]Haoyu Yang, Jing Su, Yi Zou, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1175-1187 (2019) - [j30]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) - [j29]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) - [j28]Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu:
Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(12): 2298-2311 (2019) - [c74]Wei Li, Yuzhe Ma, Qi Sun, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open Source Layout Decomposer: Invited Paper. ASICON 2019: 1-4 - [c73]Haoyu Yang, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
Detecting multi-layer layout hotspots with adaptive squish patterns. ASP-DAC 2019: 299-304 - [c72]Xingquan Li, Bei Yu, Jianli Chen, Wenxing Zhu:
A local optimal method on DSA guiding template assignment with redundant/dummy via insertion. ASP-DAC 2019: 305-310 - [c71]Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF insertion via supervised dictionary learning. ASP-DAC 2019: 406-411 - [c70]Zheng Zhao, Derong Liu, Meng Li, Zhoufeng Ying, Lu Zhang, Biying Xu, Bei Yu, Ray T. Chen, David Z. Pan:
Hardware-software co-design of slimmed optical neural networks. ASP-DAC 2019: 705-710 - [c69]Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu:
High Performance Graph Convolutional Networks with Applications in Testability Analysis. DAC 2019: 18 - [c68]Tinghuan Chen, Bingqing Lin, Hao Geng, Bei Yu:
Sensor Drift Calibration via Spatial Correlation Model in Smart Building. DAC 2019: 105 - [c67]Haocheng Li, Satwik Patnaik, Abhrajit Sengupta, Haoyu Yang, Johann Knechtel, Bei Yu, Evangeline F. Y. Young, Ozgur Sinanoglu:
Attacking Split Manufacturing from a Deep Learning Perspective. DAC 2019: 135 - [c66]Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu:
Faster Region-based Hotspot Detection. DAC 2019: 146 - [c65]Yiyang Jiang, Fan Yang, Hengliang Zhu, Bei Yu, Dian Zhou, Xuan Zeng:
Efficient Layout Hotspot Detection via Binarized Residual Neural Network. DAC 2019: 147 - [c64]Haoyu Yang, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder. DAC 2019: 148 - [c63]Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F. Y. Young, Bei Yu:
FIT: Fill Insertion Considering Timing. DAC 2019: 221 - [c62]Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu:
Power-Driven DNN Dataflow Optimization on FPGA. ICCAD 2019: 1-7 - [c61]Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. ICTAI 2019: 376-383 - [i30]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. CoRR abs/1906.10773 (2019) - [i29]Haoyu Yang, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation. CoRR abs/1912.05796 (2019) - [i28]Yuzhe Ma, Ziyang Yu, Bei Yu:
CAD Tool Design Space Exploration via Bayesian Optimization. CoRR abs/1912.06460 (2019) - [i27]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. CoRR abs/1912.07254 (2019) - 2018
- [j27]Xiaotao Jia, Yici Cai, Qiang Zhou, Bei Yu:
A Multicommodity Flow-Based Detailed Router With Efficient Acceleration Techniques. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 217-230 (2018) - [j26]Derong Liu, Bei Yu, Salim Chowdhury, David Z. Pan:
TILA-S: Timing-Driven Incremental Layer Assignment Avoiding Slew Violations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 231-244 (2018) - [j25]Jin Miao, Meng Li, Subhendu Roy, Yuzhe Ma, Bei Yu:
SD-PUF: Spliced Digital Physical Unclonable Function. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(5): 927-940 (2018) - [j24]Yibo Lin, Bei Yu, Xiaoqing Xu, Jhih-Rong Gao, Natarajan Viswanathan, Wen-Hao Liu, Zhuo Li, Charles J. Alpert, David Z. Pan:
MrDP: Multiple-Row Detailed Placement of Heterogeneous-Sized Cells for Advanced Nodes. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(6): 1237-1250 (2018) - [j23]Yibo Lin, Bei Yu, Meng Li, David Z. Pan:
Layout Synthesis for Topological Quantum Circuits With 1-D and 2-D Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1574-1587 (2018) - [j22]Gengjie Chen, Chak-Wa Pui, Wing-Kai Chow, Ka-Chun Lam, Jian Kuang, Evangeline F. Y. Young, Bei Yu:
RippleFPGA: Routability-Driven Simultaneous Packing and Placement for Modern FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(10): 2022-2035 (2018) - [j21]Jian Kuang, Evangeline F. Y. Young, Bei Yu:
CRMA: Incorporating Cut Redistribution With Mask Assignment to Enable the Fabrication of 1-D Gridded Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(10): 2036-2049 (2018) - [j20]Shiyan Hu, Bei Yu, Huafeng Yu:
IEEE Transactions on Sustainable Computing: Guest Editorial on Special Issue on Sustainable Cyber-Physical Systems. IEEE Trans. Sustain. Comput. 3(2): 58-59 (2018) - [j19]Xingquan Li, Bei Yu, Jiaojiao Ou, Jianli Chen, David Z. Pan, Wenxing Zhu:
Graph-Based Redundant Via Insertion and Guiding Template Assignment for DSA-MP. IEEE Trans. Very Large Scale Integr. Syst. 26(11): 2504-2517 (2018) - [c60]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. ASP-DAC 2018: 265-270 - [c59]Haoyu Yang, Shuhe Li, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: mask optimization with lithography-guided generative adversarial nets. DAC 2018: 131:1-131:6 - [c58]Haocheng Li, Wing-Kai Chow, Gengjie Chen, Evangeline F. Y. Young, Bei Yu:
Routability-driven and fence-aware legalization for mixed-cell-height circuits. DAC 2018: 150:1-150:6 - [c57]Grace Li Zhang, Bing Li, Bei Yu, David Z. Pan, Ulf Schlichtmann:
TimingCamouflage: Improving circuit security against counterfeiting by unconventional timing. DATE 2018: 91-96 - [c56]Qi Xu, Song Chen, Bei Yu, Feng Wu:
Memristive Crossbar Mapping for Neuromorphic Computing Systems on 3D IC. ACM Great Lakes Symposium on VLSI 2018: 451-454 - [c55]Fengxian Jiao, Sheqin Dong, Bei Yu, Bing Li, Ulf Schlichtmann:
Thermal-Aware Placement and Routing for 3D Optical Networks-on-Chips. ISCAS 2018: 1-4 - [c54]Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan:
Power Grid Reduction by Sparse Convex Optimization. ISPD 2018: 60-67 - [c53]Hao Geng, Haoyu Yang, Bei Yu, Xingquan Li, Xuan Zeng:
Sparse VLSI Layout Feature Extraction: A Dictionary Learning Approach. ISVLSI 2018: 488-493 - [i26]Song Chen, Qi Xu, Bei Yu:
Adaptive 3D-IC TSV Fault Tolerance Structure Generation. CoRR abs/1803.02490 (2018) - [i25]Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu:
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning. CoRR abs/1807.06446 (2018) - [i24]Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu:
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. CoRR abs/1807.07023 (2018) - [i23]Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent Advances in Convolutional Neural Network Acceleration. CoRR abs/1807.08596 (2018) - [i22]Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Deep Neural Networks. CoRR abs/1807.10119 (2018) - [i21]Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. CoRR abs/1809.00110 (2018) - [i20]Qi Sun, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open Source Layout Decomposer. CoRR abs/1809.07554 (2018) - [i19]Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu:
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems. CoRR abs/1812.10812 (2018) - 2017
- [j18]Bingqing Lin, Bei Yu:
Smart building uncertainty analysis via adaptive Lasso. IET Cyper-Phys. Syst.: Theory & Appl. 2(1): 42-48 (2017) - [j17]Yibo Lin, Bei Yu, Yi Zou, Zhuo Li, Charles J. Alpert, David Z. Pan:
Stitch aware detailed placement for multiple E-beam lithography. Integr. 58: 47-54 (2017) - [j16]Meikang Qiu, Saurabh Kumar Garg, Rajkumar Buyya, Bei Yu, Shiyan Hu:
Special Issue on Scalable Cyber-Physical Systems. J. Parallel Distributed Comput. 103: 1-2 (2017) - [j15]Vinicius S. Livramento, Derong Liu, Salim Chowdhury, Bei Yu, Xiaoqing Xu, David Z. Pan, José Luís Almada Güntzel, Luiz C. V. dos Santos:
Incremental Layer Assignment Driven by an External Signoff Timing Engine. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(7): 1126-1139 (2017) - [j14]Yibo Lin, Bei Yu, Biying Xu, David Z. Pan:
Triple Patterning Aware Detailed Placement Toward Zero Cross-Row Middle-of-Line Conflict. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(7): 1140-1152 (2017) - [j13]Qi Xu, Song Chen, Xiaodong Xu, Bei Yu:
Clustered Fault Tolerance TSV Planning for 3-D Integrated Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(8): 1287-1300 (2017) - [j12]Yibo Lin, Bei Yu, David Z. Pan:
High Performance Dummy Fill Insertion With Coupling and Uniformity Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(9): 1532-1544 (2017) - [j11]Derong Liu, Bei Yu, Salim Chowdhury, David Z. Pan:
Incremental Layer Assignment for Timing Optimization. ACM Trans. Design Autom. Electr. Syst. 22(4): 75:1-75:25 (2017) - [c52]Haoyu Yang, Jing Su, Yi Zou, Bei Yu, Evangeline F. Y. Young:
Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning. DAC 2017: 62:1-62:6 - [c51]Gengjie Chen, Jian Kuang, Zhiliang Zeng, Hang Zhang, Evangeline F. Y. Young, Bei Yu:
Minimizing Thermal Gradient and Pumping Power in 3D IC Liquid Cooling Network Design. DAC 2017: 70:1-70:6 - [c50]