Hao Geng

Ph.D.

Office: WFH
Email: genghao@shanghaitech.edu.cn

Biography

Currently, I'm an assistant professor at ShanghaiTech University (ShanghaiTech). Prior to that, I got Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) in 2021. Previously, I received M.Sc. with Merit from Department of Computing, Imperial College London in 2016, and M.Eng. from USTC in 2015.

My research interests include design space exploration, machine learning, deep learning and the optimization methods with applications in EDA.

[J13] 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).

[J12] Hao Geng, Yuzhe Ma, Qi Xu, Jin Miao, Subhendu Roy, Bei Yu, “High-Speed Adder Design Space Exploration via Graph Neural Processes”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

[J11] Hao Geng, Haoyu Yang, Lu Zhang, Jin Miao, Fan Yang, Xuan Zeng, Bei Yu, “Hotspot Detection via Attention-based Deep Layout Metric Learning”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

[J10] Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu, “SRAF Insertion via Supervised Dictionary Learning”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 10, pp. 2849-2859, 2020.

[J9] Qi Xu*, Hao Geng*, Tianming Ni, Song Chen, Bei Yu, Xiaoqing Wen, “Fortune: A New Fault-Tolerance TSV Configuration in Router-based Redundancy Structure”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

[J8] Qi Xu, Hao Geng#, Song Chen, Bo Yuan, Cheng Zhuo, Yi Kang, Xiaoqing Wen, “GoodFloorplan: Graph Convolutional Network and Reinforcement Learning Based Floorplanning”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

[J7] 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).

[J6] Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu, “VLSI Mask Optimization: From Shallow To Deep Learning”, Integration, the VLSI Journal, vol. 77, pp. 96-103, Mar, 2021.

[J5] Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Fan Yang, Xuan Zeng, Bei Yu, “Faster Region-based Hotspot Detection”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

[J4] 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.

[J3] Qi Xu, Song Chen, Hao Geng, Bo Yuan, Bei Yu, Feng Wu, Zhengfeng Huang, “Fault Tolerance in Memristive Crossbar-Based Neuromorphic Computing Systems”, Integration, the VLSI Journal, vol. 70, Jan., pp. 70-79, 2020.

[J2] Qi Xu, Hao Geng, Song Chen, Bei Yu, Feng Wu, “Memristive Crossbar Mapping for Neuromorphic Computing Systems on 3D IC”, ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 25, no. 1, pp. 8:1-8:19, 2019.

[J1] Lizhe Wang, Hao Geng, Peng Liu, Ke Lu, Joanna Kolodziej, Rajiv Ranjan, Albert Zomaya, “Particle Swarm Optimization based Dictionary Learning for Remote Sensing Big Data”, Knowledge-Based System, vol. 79, pp. 43-50, Elsevier, May, 2015.

[C14] Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu, “GTuner: Tuning DNN Computations on GPU via Graph Attention Network”, ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022.

[C13] Hao Geng, Qi Xu, Tsung-Yi Ho, Bei Yu, “PPATuner: Pareto-driven Tool Parameter Auto-tuning in Physical Design via Gaussian Process Transfer Learning”, ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022.

[C12] Hao Geng, Tinghuan Chen, Qi Sun, Bei Yu, “Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 17-20, 2022. (Invited Paper)

[C11] Hao Geng, Fan Yang, Xuan Zeng, Bei Yu, “When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 01-04, 2021.

[C10] 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.

[C9] Qi Sun, Chen Bai, Hao Geng, Bei Yu, “Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Feb. 01-05, 2021.

[C8] Qi Xu, Junpeng Wang, Hao Geng, Song Chen and Xiaoqing Wen, “Reliability-Driven Neuromorphic Computing Systems Design”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Feb. 01-05, 2021.

[C7] Hao Geng, Haoyu Yang, Lu Zhang, Jin Miao, Fan Yang, Xuan Zeng, Bei Yu, “Hotspot Detection via Attention-based Deep Layout Metric Learning”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 02-05, 2020. (Best-in-Track Paper)

[C6] Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu, “VLSI Mask Optimization: From Shallow To Deep Learning”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), pp. 434-439, Beijing, Jan. 13-16, 2020. (Invited Paper)

[C5] 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 02-06, 2019.

[C4] Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu, “Faster Region-based Hotspot Detection”, ACM/IEEE Design Automation Conference (DAC), Las Vegas, NV, June 02-06, 2019.

[C3] Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu, “SRAF Insertion via Supervised Dictionary Learning”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Tokyo, Jan. 21-24, 2019. (Best Paper Award Nomination)

[C2] Hao Geng, Haoyu Yang, Bei Yu, Xingquan Li, Xuan Zeng, “Sparse VLSI Layout Feature Extraction: A Dictionary Learning Approach”, IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Hong Kong, July 09-11, 2018. (Invited Paper)

[C1] Hao Geng, Lizhe Wang, Peng Liu, Lajiao Chen, “Compressed Sensing Based Remote Sensing Image Reconstruction Using an Auxiliary Image as Priors”, in IEEE Geoscience and Remote Sensing Symposium (IGARSS), pp. 2499-2502, IEEE, Quebec, Canada, 2014.

[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.

Best Paper Award Nomination	ASPDAC	2019
Postgraduate Studentship	CUHK	2017-2021
Suzhou Industrial Park Scholarship	USTC	2014