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2020 – today
- 2024
[j17]Guoqing Li, Jingwei Zhang, Meng Zhang, Tuo Li, Tinghuan Chen, Jun Yang:
An analysis of TinyML@ICCAD for implementing AI on low-power microprocessor. Sci. China Inf. Sci. 67(4) (2024)- [j16]Meng Zhang, Zheng Zhang
, Yifan Niu, Jiayi Li, Zewei Chen, Guoqing Li, Yajun Ha, Tinghuan Chen:
Fast Constraints Tuning via Transfer Learning and Multiobjective Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2705-2718 (2024) - [j15]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Timing-Driven Technology Mapping Approximation Based on Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2755-2768 (2024) - [j14]Yuyang Ye, Tinghuan Chen, Zicheng Wang, Hao Yan, Bei Yu, Longxing Shi:
Fast and Accurate Aging-Aware Cell Timing Model via Graph Learning. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 156-160 (2024) - [j13]Tinghuan Chen, Hao Geng, Qi Sun, Sanping Wan, Yongsheng Sun, Huatao Yu, Bei Yu:
Wages: The Worst Transistor Aging Analysis for Large-scale Analog Integrated Circuits via Domain Generalization. ACM Trans. Design Autom. Electr. Syst. 29(5): 1-23 (2024) - [j12]Peng Xu, Siyuan Xu, Tinghuan Chen, Guojin Chen, Tsung-Yi Ho, Bei Yu:
DeepOTF: Learning Equations-constrained Prediction for Electromagnetic Behavior. ACM Trans. Design Autom. Electr. Syst. 29(5): 1-22 (2024) - [c20]Jiaxi Jiang, Lancheng Zou, Wenqian Zhao, Zhuolun He, Tinghuan Chen, Bei Yu:
PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry. DAC 2024: 119:1-119:6 - [c19]Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu:
Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation. DAC 2024: 135:1-135:6 - [c18]Mingjun Li, Pengjia Li, Shuo Yin, Shixin Chen, Beichen Li, Chong Tong, Jianlei Yang, Tinghuan Chen, Bei Yu:
WinoGen: A Highly Configurable Winograd Convolution IP Generator for Efficient CNN Acceleration on FPGA. DAC 2024: 229:1-229:6 - [c17]Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu:
CBTune: Contextual Bandit Tuning for Logic Synthesis. DATE 2024: 1-6 - [c16]Donger Luo, Qi Sun, Qi Xu, Tinghuan Chen, Hao Geng:
Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics. DATE 2024: 1-6 - [c15]Yunfan Zuo, Yuyang Ye, Hongchao Zhang, Tinghuan Chen, Hao Yan, Longxing Shi:
A Graph-Learning-Driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects. DATE 2024: 1-6 - [c14]Yuan Pu, Tinghuan Chen, Zhuolun He, Chen Bai, Haisheng Zheng, Yibo Lin, Bei Yu:
IncreMacro: Incremental Macro Placement Refinement. ISPD 2024: 169-176 - [c13]Bohao Li, Shizhang Wang, Tinghuan Chen, Qi Sun, Cheng Zhuo:
Efficient Subgraph Matching Framework for Fast Subcircuit Identification. MLCAD 2024: 20:1-20:7 - [i2]Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi:
Learning-driven Physically-aware Large-scale Circuit Gate Sizing. CoRR abs/2403.08193 (2024) - 2023
- [j11]Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann:
Machine Learning in Advanced IC Design: A Methodological Survey. IEEE Des. Test 40(1): 17-33 (2023) - [j10]Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu:
PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 178-189 (2023) - [j9]Tinghuan Chen, Silu Xiong, Huan He, Bei Yu:
TRouter: Thermal-Driven PCB Routing via Nonlocal Crisscross Attention Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3388-3401 (2023) - [j8]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Aging-Aware Critical Path Selection via Graph Attention Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 5006-5019 (2023) - [c12]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis. ASP-DAC 2023: 547-552 - [c11]Hao Geng, Qi Sun, Tinghuan Chen, Qi Xu, Tsung-Yi Ho, Bei Yu:
Mixed-Type Wafer Failure Pattern Recognition. ASP-DAC 2023: 727-732 - [c10]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Fast and Accurate Wire Timing Estimation Based on Graph Learning. DATE 2023: 1-6 - 2022
- [j7]Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu:
Deep H-GCN: Fast Analog IC Aging-Induced Degradation Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(7): 1990-2003 (2022) - [j6]Tinghuan Chen, Bin Duan, Qi Sun, Meng Zhang, Guoqing Li, Hao Geng, Qianru Zhang, Bei Yu:
An Efficient Sharing Grouped Convolution via Bayesian Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7367-7379 (2022) - [j5]Qi Sun, Tinghuan Chen, Siting Liu, Jianli Chen, Hao Yu, Bei Yu:
Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. ACM Trans. Design Autom. Electr. Syst. 27(4): 31:1-31:27 (2022) - [c9]Hao Geng, Tinghuan Chen, Qi Sun, Bei Yu:
Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey (Invited Paper). ASP-DAC 2022: 635-640 - [c8]Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang:
A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization. DAC 2022: 133-138 - 2021
- [j4]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) - [c7]Tinghuan Chen, Qi Sun, Bei Yu:
Machine Learning in Nanometer AMS Design-for-Reliability : (Invited Paper). ASICON 2021: 1-4 - [c6]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 - [c5]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 - [c4]Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu:
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning. ICCV 2021: 5360-5370
2010 – 2019
- 2019
- [j3]Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent advances in convolutional neural network acceleration. Neurocomputing 323: 37-51 (2019) - [c3]Tinghuan Chen, Bingqing Lin, Hao Geng, Bei Yu:
Sensor Drift Calibration via Spatial Correlation Model in Smart Building. DAC 2019: 105 - [c2]Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu:
Power-Driven DNN Dataflow Optimization on FPGA. ICCAD 2019: 1-7 - 2018
- [c1]Qianru Zhang, Meng Zhang, Tinghuan Chen, Jinan Fan, Zhou Yang, Guoqing Li:
Electricity Theft Detection Using Generative Models. ICTAI 2018: 270-274 - [i1]Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent Advances in Convolutional Neural Network Acceleration. CoRR abs/1807.08596 (2018) - 2017
- [j2]Zhifei Sun, Tinghuan Chen, You Tong, Meng Zhang:
Blind Equalization of Constant Modulus Signals Based on Gaussian Process for Classification. Wirel. Pers. Commun. 97(4): 6005-6018 (2017) - 2016
- [j1]Meng Zhang, Tinghuan Chen, Xuchao Shi, Peng Cao:
Image Arbitrary-Ratio Down- and Up-Sampling Scheme Exploiting DCT Low Frequency Components and Sparsity in High Frequency Components. IEICE Trans. Inf. Syst. 99-D(2): 475-487 (2016)
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last updated on 2024-12-04 21:10 CET by the dblp team
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