Hongyi Li

Hongyi Li

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HelloWorld from Hongyi

I’m a fourth-year Ph.D. candidate at Center for Brain-inspired Computing Research, Tsinghua University. My research interests include dataflow architecture, brain-inspired computing, and parallel computing. Systems and architectures for robotics scenarios (especially brain-inspired computing and dataflow) have been my research focus recently.

I am advised by Prof. Rong Zhao and Prof. Luping Shi now. I was advised by Prof. Rui Chang from Zhejiang University when I was an undergraduate student.

Email / Github / Gitee / Researchgate

Education

  • 2021.9 ~ now, Ph.D candidate, Center for Brain-inspired Computing Research, Tsinghua University
  • 2017.9 ~ 2021.7, B.Eng, Chu-Kochen Honor College, Computer Science and Technology, Zhejiang University
  • 2017.9 ~ 2021.7, B.S, Chu-Kochen Honor College, Biological Science, Zhejiang University

Publications

Hint: # marks the co-first author.

2025

[DAC] Li, L.#, Li, H.#, Yang, Q., Ou, M., Zhao R. Ji X., (2025). Espresso: Exploiting the Sparsity Property in Event Sensors with Spatiotemporal Ordering. DAC Paper

[TCAD] Li, H.#, Yang Q.#, Ma, S., Zhao, R., Xinglong Ji. (2025). RoboSpike: Fully Utilizing the Heterogeneous System with Subcallback Scheduling in ROS 2. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. Paper Code

[Nat. Comm. ] Shi, Q.#, Liu, F.#, Li, H., Li, G., Shi, L., Zhao R. (2025). Hybrid Neural Networks for Continual Learning Inspired by Cortico-Hippocampal Circuits. Nature Communications Paper

[EDTM] Yang, Q., Xu, M., Li, H., Du, Y., Feng D., Zhao, R. (2025). Enhancing CAD Workflows: Heterogeneous Graph Attention Networks for Efficient Routing Congestion Prediction in Chip Design. IEEE Electron Devices Technology and Manufacturing Paper

[Preprint] Qu, H., Zhang, W., Lin, J., Ma, S., Li, H., Shi, L., Xu, C. (2025) MLDSE: Scaling Design Space Exploration Infrastructure for Multi-Level Hardware. Paper

2024

[TC] Li, H.#, Ma, S.#, Wang, T.#, Zhang, W., Wang, G., Song, C., … & Zhao, R. (2024). HASP: Hierarchical asynchronous parallelism for multi-NN tasks. IEEE Transactions on Computers. Paper Code (GPGPU Part)

[TC] Lin, J.#, Qu, H.#, Ma, S.#, Ji, X., Li, H., Li, X., Song, C., Zhang, W. (2024). SongC: A Compiler for Hybrid Near-Memory and In-Memory Many-Core Architecture. IEEE Transactions on Computers. Paper

[TNNLS] Xu, M.#, Liu, F.#, Hu, Y., Li, H., Wei, Y., Zhong, S., … & Deng, L. (2024). Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. IEEE Transactions on Neural Networks and Learning Systems. Paper

2023

[ICONS] Li, H., Xu, M., Pei, J., & Zhao, R. (2023). Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. In Proceedings of the 2023 International Conference on Neuromorphic Systems (pp. 1-8). Paper

[ICONS] Zhang, W., Du, Y., Li, H., Ma, S., Zhao R. (2023). General-purpose Dataflow Model with Neuromorphic Primitives. In Proceedings of the 2023 International Conference on Neuromorphic Systems (Poster) Paper

[Sci. Rob.] Yu, F.#, Wu, Y.#, Ma, S.#, Xu, M., Li, H., Qu, H., … & Shi, L. (2023). Brain-inspired multimodal hybrid neural network for robot place recognition. Science Robotics, 8(78), eabm6996. Paper

2022

[Sci. Rob.] Ma, S.#, Pei, J.#, Zhang, W.#, Wang, G.#, Feng, D.#, Yu, F., Song, C., Qu, H., Ma, C., Lu, M., Liu, F., Zhou, W., Wu, Y., Lin, Y., Li, H., Wang, T., Liu, X., Li, G., Zhao, R., Shi, L. (2022). Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent tasking robots.  Science Robotics, 7(67), eabk2948. Paper

Grant

[2025.1~2026.12] A brain-inspired asynchronous scheduling … intelligence [NSFC (Ph.D. Student)]

Selected Award

[2024] Best Poster Award at World Life Science Conference

[2021] First Prize in Team Competition at National Student Computer System Capability Challenge (NSCSCC, CPU Design)

[2019] Gold Prize at International Genetically Engineered Machine Competition (iGEM)