Tinghuan Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Convolutional Neural Network

Transfer Learning

High Frequency Components

Parameter Tuning

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu
CBTune: Contextual Bandit Tuning for Logic Synthesis. DATE (2024)
Yuan Pu, Tinghuan Chen, Zhuolun He, Chen Bai, Haisheng Zheng, Yibo Lin, Bei Yu
IncreMacro: Incremental Macro Placement Refinement. ISPD (2024)
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)
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)
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)
Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi
Learning-driven Physically-aware Large-scale Circuit Gate Sizing. CoRR (2024)
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) (2024)
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) (2023)
Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi
Fast and Accurate Wire Timing Estimation Based on Graph Learning. DATE (2023)
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) (2023)
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)
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) (2023)
Hao Geng, Qi Sun, Tinghuan Chen, Qi Xu, Tsung-Yi Ho, Bei Yu
Mixed-Type Wafer Failure Pattern Recognition. ASP-DAC (2023)
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) (2023)
Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang
A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization. DAC (2022)
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) (2022)
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) (2022)
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) (2022)
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)
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)
Tinghuan Chen, Qi Sun, Bei Yu
Machine Learning in Nanometer AMS Design-for-Reliability : (Invited Paper). ASICON (2021)
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)
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) (2021)
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)
Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu
Power-Driven DNN Dataflow Optimization on FPGA. ICCAD (2019)
Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu
Recent advances in convolutional neural network acceleration. Neurocomputing 323 (2019)
Tinghuan Chen, Bingqing Lin, Hao Geng, Bei Yu
Sensor Drift Calibration via Spatial Correlation Model in Smart Building. DAC (2019)
Qianru Zhang, Meng Zhang, Tinghuan Chen, Jinan Fan, Zhou Yang, Guoqing Li
Electricity Theft Detection Using Generative Models. ICTAI (2018)
Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu
Recent Advances in Convolutional Neural Network Acceleration. CoRR (2018)
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) (2017)
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. (2) (2016)