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 

会议文章： 

[1]Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen, ANPL: Towards Natural Programming with Interactive Decomposition, NeurIPS 2023. 

[2] 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, AAAI 2023. 

[3] Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen, Causality-driven Hierarchical Structure Discovery for Reinforcement Learning, NeurIPS 2022. 

[4] Xinkai Song, Yuanbo Wen, Xing Hu, Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation, in IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023. 

[5] Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen, Scalecert: Scalable certified defense against adversarial patches with sparse superficial layers, NeurIPS 2021. 

[6] Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen, Cambricon-Q: a hybrid architecture for efficient training, in International Symposium on Computer Architecture (ISCA), 2021. (CCF-A) 

[7] Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie, Spacea: Sparse matrix vector multiplication on processing-in-memory accelerator, in IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021. (CCF-A) 

[8] Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Pengfei Zuo, Xinfeng Xie, Yu Ji, Yufei Ding, Timothy Sherwood, Yuan Xie, DeepSniffer, an Neural Network Model Extraction Framework by Learning Architecture Hints, in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020.  (CCF-A) 

[9] Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie, Persistence parallelism optimization: a holistic approach from memory bus to RDMA network, in IEEE/ACM International Symposium on Microarchitecture (MICRO), pp 494-506, 2018. (CCF-A) 

[10] Xing Hu, Dylan Stow, Yuan Xie, Die stack is happening, in IEEE Micro, pp. 22-28, 2018. 

[11] Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie, Sealing neural network models in secure deep learning accelerators, Design Automation Conference (DAC), 2020. (CCF-A)  

[12] Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhiming Zhang, Dongrui Fan, Yuan Xie, HyGCN: A GCN Accelerator with Hybrid Architecture, in High Performance Computer Architecture (HPCA), 2020. (CCF-A) 

[13] Minyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie, Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach, inIEEE/ACM International Symposium on Microarchitecture (MICRO),2019. (CCF-A)

国家自然科学基金青年科学基金项目：内容，深度学习系统鲁棒性与完整性研究，项目负责人；