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Tinghuan Chen

Post-doctoral Fellow
Office: Rm 115, Ho Sin Hang Engineering Building
Email: thchen@cse.cuhk.edu.hk, chentinghuan@cuhk.edu.cn

My CV.

Biography

I'm a post-doctoral fellow at The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu. Before that, I was a post-doctoral researcher at The Technical University of Munich (TUM), Germany. I earned my Ph.D. in Computer Science and Engineering from CUHK.

I will join the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, as a tenure-track assistant professor starting from Jan. 2023. My research interests include machine learning in EDA and analog/mixed-signal VLSI design-for-reliability.

Experience

Post-doctoral Fellow | CUHK

Post-doctoral Researcher | TUM

Research Intern | Hisilicon Technologies Co.

Research Assistant | CUHK

Teaching

Publications

Journal papers

  1. Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann, "Machine Learning in Advanced IC Design: A Methodological Survey", accepted by IEEE Design & Test. (Invited Paper)

  2. Tinghuan Chen, Bin Duan, Qi Sun, Meng Zhang, Guoqing Li, Hao Geng, Qianru Zhang, Bei Yu, "An Efficient Sharing Grouped Convolution via Bayesian Learning", accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

  3. Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu, "PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

Conference papers

  1. 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.

  2. 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.

  3. 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.

  4. 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)

  5. 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.

  6. 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)

  7. 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.

  8. 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)

  9. 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.

  10. 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)

  11. 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.

  12. 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

  1. 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

  1. Tinghuan Chen, "Bayesian Sharing Grouped Convolution", IEEE TCCPS Newsletter, Volume 07, Issue 02, Nov. 2021.

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

Selected Awards

The Chinese University of Hong Kong Postgraduate Scholarship 2017-2021
Postgraduate National Scholarship of China 2016
Nan Rui Electric Scholarship 2016
Southeast University Outstanding Thesis 2014
National Endeavor Scholarship 2012
Star-Net Scholarship 2011

Professional Service

Program Committee Member

Conference Review

Selected Journal Review

Miscellanies