Han Husheng(韩虎生)
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PhD. Candidate, |
About me
I am a fifth-year PhD. candidate at ICT, CAS under the supervision of Prof. Qi Guo, Xing Hu and Yunji Chen from 2020. Before that, I received the B.S degree from Tsinghua University, Beijing, China in 2020. My research interests primarily lie in the areas of computer architecture, system security, deep learning systems and domain-specific accelerators. I pay particular attention to build secure and efficient NN computing system. Ensuring the achievement of both goals is critical and challenging, especially considering the growing popularity of LLMs today. Through my work, I have published papers in top-tier computer architecture/system conferences/journals including ASPLOS, DAC, TCAD and NeurIPS.
Education
Ph.D. Candidate, Institute of Computing Technology, Chinese Academy of Sciences, 2020-Now
B.S., Department of Automation, Tsinghua University, 2016-2020
Research Interests
Computing Architecture
System Security
Machine Learning System
Domain-Specific Accelerators
News
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.
Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu.
Accepted by ASPLOS 2024
Alchemist: A unified accelerator architecture for cross scheme fully homomorphic encryption.
Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li.
Accepted by DAC 2024
Selected Publications
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.
Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu.
Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024.
Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption.
Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li.
Design Automation Conference (DAC), 2024.
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.
Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen.
Neural Information Processing Systems (NeurIPS), 2021.
Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation
Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen.
IEEE/ACM International Symposium on Microarchitecture, (MICRO), 2023.
Automated CPU Design by Learning from Input-Output Examples. (To Appear)
Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen.
International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression. (To Appear)
Tianyun Ma, Yuanbo Wen, Xinkai Song, Pengwei Jin, Di Huang, Husheng Han, Ziyuan Nan, Shaohui Peng, Yongwei Zhao, Huaping Chen, Zidong Du, Xing Hu, Qi Guo.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
Honors and Awards
2023: Ludi Invests Award of ICT / 计算所虑得投资博士生奖
2023: Outstanding Student Award of SKL / 处理器芯片全国重点实验室优秀学生
2022: Merit Student Award of CAS / 中国科学院大学三好学生