基本信息
胡杏  女  博导  中国科学院计算技术研究所
电子邮件: huxing@ict.ac.cn
通信地址: Beijing
邮政编码: 100190

研究领域

高效率和高安全智能计算系统

教育背景

   
学历
2009.09—2014.07 Ph.D. State Key Lab of Computer Architecture. Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS)
2005.09—2009. 07 B.S. Computing Science and technology Department. HuaZhong University of Science & Technology (HUST) 


工作经历

2020.04 –– Present, Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences.

2017.01 –– 2020.03 Postdoc, University of California, Santa Barbara, Department of Electrical and Computer Engineering. Advisor: Yuan Xie

发表论文

Selected papers:

[1] 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 Conference on Artificial Intelligence (AAAI). 2023. (CCF-A)

[2] Hu, Xing, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Tim Sherwood, Yuan Xie. A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE TRANSACTIONS ON COMPUTERS[J]. 2022. (CCF-A)

[3] Wen, Yuanbo, Qi Guo, Du, Zidong, Xu, Jianxing, Zhang, Zhenxing, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Zhou Xuehai, Chen, Tianshi. Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers. IEEE TRANSACTIONS ON COMPUTERS[J]. 2022, 71(9): 2313-2326. (CCF-A)
[4] Huang, Di, Zhang, Rui, Hu, Xing, Zhang, Xishan, Jin, Pengwei, Li, Nan, Du, Zidong, Guo, Qi, Chen, Yunji. Neural Program Synthesis with Query. ICLR, 2022. 

[5] Chen, Xiaobing, Wang, Yuke, Xie, Xinfeng, Hu, Xing*, Basak, Abanti, Liang, Ling, Yan, Mingyu, Deng, Lei, Ding, Yufei, Du, Zidong, Xie, Yuan. Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2022, 41(4): 936-949. (CCF-A)

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

[7] Han, Husheng, Xu, Kaidi, Hu, Xing*, Chen, Xiaobing, Liang, Ling, Du, Zidong, Guo, Qi, Wang, Yanzhi, Chen, Yunji. ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS, 2021. (CCF-A)

[8] Xinkai Song, tian zhi, Fan Zhe, Zhang zhenxing, Zeng Xi, Li Wei, Hu Xing, Du Zidong, Guo Qi, Chen Yunji. Cambricon-G: A Polyvalent Energy-efficient Accelerator for Dynamic Graph Neural Networks. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2021. (CCF-A)

[9] Xie, Xinfeng, Liang, Zheng, Gu, Peng, Basak, Abanti, Deng, Lei, Liang, Ling, Hu, Xing, Xie, Yuan, IEEE Comp Soc. SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. 2021 27TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2021). 2021, 570-583, (CCF-A)

[10] Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Xu Zhiwei, Tianshi Chen. Cambricon-Q: A Hybrid Architecture for Efficient Training. ISCA, 2021, (CCF-A)

[11] Hu, Xing, Zhao, Yang, Deng, Lei, Liang, Ling, Zuo, Pengfei, Ye, Jing, Lin, Yingyan, Xie, Yuan. Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2021, 40(6): 1230-1243. (CCF-A)

[12] Lin, Jilan, Wen, ChengDa, Hu, Xing, Tang, Tianqi, Lin, IngChao, Wang, Yu, Xie, Yuan. Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2021, 40(10): 2049-2062. (CCF-A)
[13] Liang, Ling, Hu, Xing, Deng, Lei, Wu, Yujie, Li, Guoqi, Ding, Yufei, Li, Peng, Xie, Yuan. Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. TNNLS, 2023. (CCF-A)