Chunjie Luo (Google Scholar)

Chunjie Luo received the Ph. D degree from University of Chinese Academy of Sciences, Beijing, China, in 2022. He is currently an engineer at the Institute of Computing Technology, Chinese Academy of Sciences. His current research interests include artificial intelligence, IoT/AIoT application and benchmarking, software-hardware co-design.

E-mail: luochunjie@ict.ac.cn

Education and Work Experience

  • September, 2016 – January, 2022, University of Chinese Academy of Sciences, Ph.D. in Computer Science

  • July, 2012 – now, Institute of Computing Technology, Chinese Academy of Sciences, Engineer

  • September, 2009 – July, 2012, University of Chinese Academy of Sciences, M.S. in Computer Science

  • September, 2005 – July, 2009, Huazhong University of Science and Technology, B.S. in Both Mechanical Engineering and Computer Science

Publications

1) DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data. Nana Wang, Chunjie Luo, Xi Huang, Yunyou Huang, Jianfeng Zhan. Neurocomputing 472, 24-34

2) Ensemble Clustering-based Cervical Spondylosis Fine-classification. Nana Wang, Chunjie Luo, Yunyou Huang, Jianfeng Zhan. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

3) Benchmarking feature selection methods with different prediction models on large-scale healthcare event data. Fan Zhang, Chunjie Luo, Chuanxin Lan, Jianfeng Zhan. BenchCouncil Transactions on Benchmarks, Standards and Evaluations 1 (1), 100004

4) Aibench scenario: Scenario-distilling ai benchmarking. Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang. 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT)

5) Hpc ai500 v2. 0: The methodology, tools, and metrics for benchmarking hpc ai systems. Zihan Jiang, Wanling Gao, Fei Tang, Lei Wang, Xingwang Xiong, Chunjie Luo, Chuanxin Lan, Hongxiao Li, Jianfeng Zhan. 2021 IEEE International Conference on Cluster Computing (CLUSTER)

6) Finet: Using fine-grained batch normalization to train light-weight neural networks. Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao. 2021 International Joint Conference on Neural Networks (IJCNN)

7) AIBench training: Balanced industry-standard AI training benchmarking. Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, et al. 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

8) Hybridtune: spatio-temporal performance data correlation for performance diagnosis of big data systems. Rui Ren, Jiechao Cheng, Xiwen He, Lei Wang, Jianfeng Zhan, Wanling Gao, Chunjie Luo. Journal of Computer Science and Technology 34 (6), 1167-1184

9) An electricity consumption model for synthesizing scalable electricity load curves. Yunyou Huang, Jianfeng Zhan, Chunjie Luo, Lei Wang, Nana Wang, Daoyi Zheng, Fanda Fan, Rui Ren. Energy 169, 674-683

10) AIoT bench: towards comprehensive benchmarking mobile and embedded device intelligence. Chunjie Luo, Fan Zhang, Cheng Huang, Xingwang Xiong, Jianan Chen, Lei Wang, Wanling Gao, Hainan Ye, Tong Wu, Runsong Zhou, Jianfeng Zhan. 2018 International Symposium on Benchmarking, Measuring and Optimization

11) Deep convolutional neural networks for log event classification on distributed cluster systems. Rui Ren, Jiechao Cheng, Yan Yin, Jianfeng Zhan, Lei Wang, Jinheng Li, Chunjie Luo. 2018 IEEE International Conference on Big Data (Big Data)

12) Data motifs: A lens towards fully understanding big data and ai workloads. Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He, Hainan Ye, Rui Ren. 2018 27th International Conference on Parallel Architectures and Compilation Techniques (PACT)

13) Data motif-based proxy benchmarks for big data and AI workloads. Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Zhen Jia, Daoyi Zheng, Chen Zheng, Xiwen He, Hainan Ye, Haibin Wang, Rui Ren. 2018 IEEE International Symposium on Workload Characterization (IISWC)

14) pDeep: predicting MS/MS spectra of peptides with deep learning. Xiexuan Zhou, Wenfeng Zeng, Hao Chi, Chunjie Luo, Chao Liu, Jianfeng Zhan, Simin He, Zhifei Zhang. Analytical chemistry 89 (23), 12690-12697

15) Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks. Luo Chunjie, Zhan Jianfeng, Wang Lei, Yang Qiang. 2018 International Conference on Artificial Neural Networks (ICANN)

16) Understanding big data analytics workloads on modern processors. Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, Lixin Zhang. IEEE Transactions on Parallel and Distributed Systems 28 (6), 1797-1810

17) Characterizing and subsetting big data workloads. Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A McKee, Qiang Yang, Chunjie Luo, Jingwei Li. 2014 IEEE International Symposium on Workload Characterization (IISWC)

18) Bigdatabench: A big data benchmark suite from internet services. Lei Wang, Jianfeng Zhan, Chunjie Luo, Yuqing Zhu, Qiang Yang, Yongqiang He, Wanling Gao, Zhen Jia, Yingjie Shi, Shujie Zhang, Chen Zheng, Gang Lu, Kent Zhan, Xiaona Li, Bizhu Qiu. 2014 IEEE 20th international symposium on high performance computer architecture (HPCA)

19) Characterizing data analysis workloads in data centers. Zhen Jia, Lei Wang, Jianfeng Zhan, Lixin Zhang, Chunjie Luo. 2013 IEEE International Symposium on Workload Characterization (IISWC)

20) Bdgs: A scalable big data generator suite in big data benchmarking. Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan. Advancing big data benchmarks

21) Cloudrank-d: benchmarking and ranking cloud computing systems for data processing applications. Chunjie Luo, Jianfeng Zhan, Zhen Jia, Lei Wang, Gang Lu, Lixin Zhang, Cheng-Zhong Xu, Ninghui Sun. Frontiers of Computer Science 6 (4), 347-362