简 历:
2023年9月 — 今:中国科学院计算技术研究所,研究员
2020年4月 — 2023年9月:中国科学院计算技术研究所,副研究员
2017年1月 — 2020年3月:加州大学圣芭芭拉分校,博士后
2014年8月 — 2016年12月:华为科技有限公司
2009年9月 — 2014年7月:中国科学院大学,博士生
2005年9月 — 2009年7月:华中科技大学,计算机科学与技术学院,本科生
主要论著:
期刊文章:
[1] Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Muxin Song, Yinan Xu, Ziyuan Nan, Mingju Gao, Tianyun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Member, IEEE, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu*(通信作者), CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025, DOI: 10.1109/TCAD.2025.3604320. (CCF-A类)
[2] Chongxiao Li, Di Huang, Pengwei Jin, Tianyun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Xing Hu*(通信作者), Qi Guo, AGON: Automated Design Framework for Customizing Processors from ISA Documents, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025, DOI: 10.1109/tcad.2025.3617851. (CCF-A类)
会议文章:
[1] Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, and Yuan Xie. DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. In Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020. New York, NY, USA, 385–399.
[2] Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu* (通信作者), Qi Guo, Tianshi Chen, Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM, in 57th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024, Austin, TX, USA, 2024, pp. 1474-1488.
[3] 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, and Xing Hu* (通信作者). TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing, in Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024, New York, NY, USA, 282–297.
[4] Yutong Wu, Di Huang, Ruosi Wan, Yue Peng, Shijie Shang, Chenrui Cao,Lei Qi, Rui Zhang, Xishan Zhang, Zidong Du, Jie Yan, Xing Hu*(通信作者). StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion, in Anual AAAI Conference on Artificial Intelligence (AAAI), 2026 (Oral).
[5] Yaoyu Zhu, Di Huang*, Hanqi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen, QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation, NeurIPS 2025.
[6] Xinkai Song, Yuanbo Wen, Xing Hu*(通信作者), Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, and Tianshi Chen. 2023. Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023.
[7] Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen*, Conceptual reinforcement learning for language-conditioned tasks, in Anual AAAI Conference on Artificial Intelligence (AAAI), 2023.
[8] Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen*, Automated Superscalar Processor Design by Learning Data Dependencies, in Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2025.
[9] 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, Qimeng-CPU: Automated CPU Design by Learning from Input-Output Examples, in Proceedings of the Thirty-third International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[10] Pucheng Dang, Di Huang, Dong Li*, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu, MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions, in 39th Conference on Neural Information Processing Systems (NeurIPS), Spotlight, 2025 .
科研项目:
科技创新2030,AI全场景编程框架,课题负责人;
中国科学院先导,处理器智能化设计,项目负责人;
获奖及荣誉:
国家级青年人才
MICRO2022最佳论文提名,MICRO Hall of Fame

胡杏 研究员
研究方向:
所属部门:智能处理器研究中心、处理器芯片重点实验室
导师类别:博导计算机系统结构
联系方式:huxing@ict.ac.cn
个人网页:https://xinghu-cs.github.io/