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郝一帆，男，1996，安徽省阜陽市。現(xiàn)任中科院計(jì)算所高級(jí)工程師，主要研究方向是智能芯片架構(gòu)。研究成果曾發(fā)表于MICRO、NeurIPS、ICLR、SCIS等國際會(huì)議和期刊。曾獲MICRO 2022最佳論文提名。  

2023年9月 — 今：中科院計(jì)算所，高級(jí)工程師  

2021年7月 — 2023年9月：中科院計(jì)算所，工程師  

2016年9月 — 2021年6月：中科院計(jì)算所，碩博生  

期刊文章:  

[1] [JCST’22] Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du. “Hardware Acceleration for SLAM in Mobile Systems” in Journal of Computer Science and Technology (JCST), 2022.  

[2] [TCAD’23] Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, and Tianshi Chen. “Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.  

[3] [SCIS’23] Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen. “Chip design with machine learning a survey from algorithm perspective” in SCIENCE CHINA Information Sciences (SCIS), 2023.  

會(huì)議文章：  

[1] [MICRO’22] Yifan Hao, Yongwei Zhao, Chenxiao Liu, Shuyao Cheng, Xiaqing Li, Xing Hu, Zidong Du, Qi Guo, Zhiwei Xu, Tianshi Chen. "Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing" in Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022. ( Best Paper Runner-up Award)  

[2] [MICRO’23] Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao*, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, and Zhiwei Xu. “Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing” in Proceedings of the 56th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023.  

[3] [MICRO’23] Xinkai Song, Yuanbo Wen, Xing Hu, Yifan Hao, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen. “Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation” in Proceedings of the 56th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023.  

[4] [NeurIPS’23] Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen. “Emergent Communication for Rules Reasoning” in 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.  

[5] [NeurIPS’23] Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen. “Learning Domain-Aware Detection Head with Prompt Tuning” in 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.  

[6] [ICLR’23] Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen. “BALTO: fast tensor program optimization with diversity-based active learning” in the 11th International Conference on Learning Representations (ICLR), 2023.