Publications

Journal & Conference Papers

Accepted

  • [J21] Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi, "Learning-driven Physically-aware Large-scale Circuit Gate Sizing", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

2025

  • [C26] Xiangfei Hu, Yuyang Ye, Tinghuan Chen, Hao Yan, Bei Yu, "Timing-driven Approximate Logic Synthesis Based on Double-chase Grey Wolf Optimizer", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Lyon, Mar. 31–Apr. 02, 2025.

  • [C25] Yikang Ouyang, Yuchao Wu, Dongsheng Zuo, Subhendu Roy, Tinghuan Chen, Zhiyao Xie, Yuzhe Ma, "SMART-GPO: Gate-Level Sensitivity Measurement with Accurate Estimation for Glitch Power Optimization", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Tokyo Odaiba Miraikan, Jan. 20–23, 2025.

2024

  • [C24] Shangran Lin, Xinrui Zhu, Baohui Xie, Tinghuan Chen, Cheng Zhuo, Qi Sun, Bei Yu, "RISCSparse: Point Cloud Inference Engine on RISC-V Processor", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), New Jersey, Oct. 27–31, 2024.

  • [C23] 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", ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.

  • [C22] Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu, "Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation", ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.

  • [C21] 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", ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.

  • [C20] Zun Xue, Yuchen Liu, Yuyang Ye, Tinghuan Chen, Hao Yan, Longxing Shi, "Aging-aware Logic Restructure Acceleration based on Heterogeneous Graph Learning", International Symposium of EDA (ISEDA), May 10–13, 2024.

  • [C19] Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu, "CBTune: Contextual Bandit Tuning for Logic Synthesis", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, March 25-27, 2024.

  • [C18] 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", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, March 25-27, 2024.

  • [C17] Donger Luo, Qi Sun, Qi Xu, Tinghuan Chen and Hao Geng, "Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, March 25-27, 2024.

  • [C16] Yuan Pu, Tinghuan Chen, Zhuolun He, Chen Bai, Haisheng Zheng, Yibo Lin, Bei Yu, "IncreMacro: Incremental Macro Placement Refinement", ACM International Symposium on Physical Design (ISPD), Taipei, March 12-15, 2024. (Best Paper Award Nomination)

  • [J20] Peng Xu, Siyuan Xu, Tinghuan Chen, Guojin Chen, Tsung-Yi Ho, Bei Yu, "DeepOTF: Learning Equations-constrained Prediction for Electromagnetic Behavior", ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 29, no. 05, pp. 80:1–80:22, 2024.

  • [J19] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, "Timing-driven Technology Mapping Approximation Based on Reinforcement Learning", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 9, pp. 2755-2768, 2024.

  • [J18] Meng Zhang, Zheng Zhang, Yifan Niu, Jiayi Li, Zewei Chen, Guoqing Li, Yajun Ha, Tinghuan Chen, "Fast Constraints Tuning via Transfer Learning and Multi-objective Optimization", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 9, pp. 2705-2718, 2024.

  • [J17] 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 Transactions on Design Automation of Electronic Systems (TODAES), vol. 29, no. 05, pp. 73:1–73:23, 2024.

  • [J16] Guoqing Li, Jingwei Zhang, Meng Zhang, Tuo Li, Tinghuan Chen, Jun Yang, "An Analysis of TinyML@ICCAD for Implementing AI on Low-power Microprocessor", Science China Information Sciences (SCIS), vol. 67, no. 4, 149402, 2024.

  • [J15] Yuyang Ye, Tinghuan Chen, Zicheng Wang, Hao Yan, Bei Yu, Longxing Shi, "Fast and Accurate Aging-aware Cell Timing Model via Graph Learning", IEEE Transactions on Circuits and Systems II (TCASII), vol. 71, no. 01, pp. 156–160, 2024.

2023

  • [J14] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, "Aging-aware Critical Path Selection via Graph Attention Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 42, no. 12, pp. 5006-5019, 2023.

  • [J13] Tinghuan Chen, Silu Xiong, Huan He, Bei Yu, "TRouter: Thermal-driven PCB Routing via Non-Local Crisscross Attention Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 42, no. 10, pp. 3388-3401, 2023.

  • [J12] Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann, "Machine Learning in Advanced IC Design: A Methodological Survey", IEEE Design & Test, vol. 40, no. 01, pp. 17–33, 2023. (Invited Paper)

  • [J11] Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu, "PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)，vol. 42, no. 1, pp. 178-189, 2023.

  • [C15] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, "Fast and Accurate Wire Timing Estimation Based on Graph Learning", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Antwerp, April 7-19, 2023.

  • [C14] Hao Geng, Qi Sun, Tinghuan Chen, Qi Xu, Tsung-Yi Ho, Bei Yu, "Mixed-Type Wafer Failure Pattern Recognition", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Tokyo Odaiba Miraikan, Jan. 16–19, 2023. (Invited Paper)

  • [C13] 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", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Tokyo Odaiba Miraikan, Jan. 16–19, 2023.

2022

  • [J10] 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 Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 12, pp. 7367-7379, 2022.

  • [J9] Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu, "Deep H-GCN: Fast Analog IC Aging-induced Degradation Estimation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 7, pp. 1990-2003, 2022.

  • [J8] Qi Sun, Tinghuan Chen, Siting Liu, Jin Miao, Jianli Chen, Hao Yu, Bei Yu, "Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design", ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 27, no. 4, pp. 1-27, 2022.

  • [C12] Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang, "A Fast Parameter Tuning Framework via Transfer Learning and Multi-objective Bayesian Optimization", ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022.

  • [C11] Hao Geng, Tinghuan Chen, Qi Sun, Bei Yu, "Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Taipei, Jan. 17–20, 2022. (Invited Paper)

  • [C10] Xuening Zhang, Tinghuan Chen, Liang Wu, "An Injection Locked Frequency Divider-by-Two with Harmonic Enhancement", IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP), Guangzhou, Nov. 27-29, 2022.

  • [C9] Yihui Wang, Tinghuan Chen, Liang Wu, "A 60-GHz Two-Way Transformer-Coupled Power Amplifier in 65-nm CMOS", IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP), Guangzhou, Nov. 27-29, 2022.

2021

  • [J7] Tinghuan Chen, Bingqing Lin, Hao Geng, Shiyan Hu, Bei Yu, "Leveraging Spatial Correlation for Sensor Drift Calibration in Smart Building", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 40, no. 7, pp. 1273-1286, 2021.

  • [J6] Yibo Lin, Xiaohan Gao, Tinghuan Chen, Bei Yu, "Machine learning for digital circuit backend design", Micro/nano Electronics and Intelligent Manufacturing, vol. 2, no. 3, pp. 11-20, 2021. (in Chinese)

  • [C8] Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu, "Analog IC Aging-induced Degradation Estimation via Heterogeneous Graph Convolutional Networks", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Tokyo, Jan. 18–21, 2021.

  • [C7] Tinghuan Chen, Qi Sun, Bei Yu, "Machine Learning in Nanometer AMS Design for Reliability", IEEE International Conference on ASIC (ASICON), Kunming, Oct. 26–29, 2021. (Invited Paper)

  • [C6] Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu, "Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning", IEEE International Conference on Computer Vision (ICCV), Oct. 11–17, 2021.

  • [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", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Grenoble, Feb. 1–5, 2021. (Best Paper Award Nomination)

2019

  • [J5] Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu, "Recent advances in convolutional neural network acceleration", Neurocomputing, vol. 323, pp. 37-51, 2019.

  • [C4] Tinghuan Chen, Bingqing Lin, Hao Geng, Bei Yu, "Sensor Drift Calibration via Spatial Correlation Model in Smart Building", ACM/IEEE Design Automation Conference (DAC), Las Vegas, NV, June 2-6, 2019.

  • [C3] Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu, "Power-Driven DNN Dataflow Optimization on FPGA", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Westminster, CO, Nov. 4–7, 2019. (Invited Paper)

2018

  • [C2] Qianru Zhang, Meng Zhang, Tinghuan Chen, Jinan Fan, Zhou Yang, Guoqing Li, "Electricity Theft Detection Using Generative Models", IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Volos, Nov. 5-7, 2018.

2017

  • [J4] Zhifei Sun, Tinghuan Chen, You Tong, Meng Zhang, "Blind Equalization of Constant Modulus Signals Based on Gaussian Process for Classification", Wireless Personal Communications, vol. 97, no. 4, pp. 6005-6018, 2017.

  • [J3] Chen Zhu, Huatao Zhao, Tinghuan Chen, Tianbo Zhu, "A low latency and high efficient three-dimension Network-on-Chip based on hierarchical structure", Modern Physics Letters B, Vol. 31, no. 19-21, 1740061, 2017.

2016

  • [J2] Tinghuan Chen, Meng Zhang, Jianhui Wu, Chau Yuen, You Tong, "Image Encryption and Compression based on Kronecker Compressed Sensing and Elementary Automata Scrambling", Optics & Laser Technology, vol. 84, pp. 118-133, 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 Transactions on Information and Systems. vol. E99-D, no. 2, pp. 475-487, 2016.

2012

  • [C1] Tinghuan Chen, Zhifang Dong, "A New Method for the 3-D Discrete Hartley Transform", IEEE International Conference on Instrumentation & Measurement, Computer, Communication and Control, Harbin, Dec. 8-10, 2012.

Book Chapters

  • [B1] Tinghuan Chen, Bingqing Lin, Hao Geng, Bei Yu, "Smart Building Sensor Drift Calibration", Big Data Analytics for Cyber-Physical Systems, Springer, 2020: 187-202.

Newsletters

  • [N2] Tinghuan Chen, "Bayesian Sharing Grouped Convolution", IEEE TCCPS Newsletter, Volume 07, Issue 02, Nov. 2021.

  • [N1] Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu, "Power-Driven DNN Dataflow Optimization on FPGA", IEEE TCCPS Newsletter, Volume 05, Issue 01, Mar. 2020.