论文发表

1421.
1420.

Zhigang Song, Shuangmei Zou, Weixun Zhou, Yong Huang, Liwei Shao, Jing Yuan, Xiangnan Gou, Wei Jin, Zhanbo Wang, Xin Chen,Xiaohui Ding, Jinhong Liu, Chunkai Yu, Calvin Ku, Cancheng Liu, Zhuo Sun, Gang Xu, Yuefeng Wang, Xiaoqing Zhang, Dandan Wang, Shuhao. Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning. , Nature Communications 2020.  

1419.

Harsha Sharma, Wenfei Wu, and Bangwen Deng. Symbolic Execution for Network Functions with Time-Driven Logic. , MASCOTS 2020.  

1418.

Qingxiu Liu, Wenfei Wu, Qingsong Liu, and Qun Huang. T2DNS: A Third-Party DNS Service with Privacy Preservation and Trustworthiness. , ICCCN 2020.  

1417.

angwen Deng, Wenfei Wu, and Linhai Song. Redundant Logic Elimination in Network Functions. , SOSR 2020.  

1416.

Ming Sun, Ya Su, Shenglin Zhang, Junliang Tang, Yuanpu Cao, Yuqing Liu, Wenfei Wu, Dan Pei, Yongsu Zhang, and Xiaozhou Liu. CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer. , INFOCOM 2021.  

1415.

ChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen, Wenfei Wu, Aditya Akella, and Michael Swift. ATP: In-Network Aggregation for Multi-Tenant Learning”. In: the 18th USENIX Symposium on Networked Systems Design and Implementation. , NSDI 2021.  

1414.

Hongyi Huang, Wenfei Wu, Yongchao He, Bangwen Deng, Ying Zhang, Yongqiang Xiong, Guo Chen, Yong Cui, and Peng Cheng. NFD: A Development Framework for Cross-Platform Network Functions. , INFOCOM 2021.  

1413.

Yongchao He, Wenfei Wu*, Xuemin Wen, Haifeng Li, and Yongqiang Yang. Scalable On-Switch Rate Limiters for the Cloud. , INFOCOM 2021.  

1412.

Bangwen Deng and Wenfei Wu. NFOpt: Eliminating Redundant Logic in NF Programs using Operation-Time Configurations. , INFOCOM 2021.  

1411.

M. Navarro, Y. Wang, A. G. Marques, C. Uhler, S. Segarra. Joint inference of multiple graphs from matrix polynomials. , arXiv:2010.08120.  

1410.

A. Carpentier, O. Collier, L. Comminges, A. B Tsybakov, Y. Wang. Estimation of the l2-norm and testing in sparse linear regression with unknown variance. , arXiv:2010.13679.  

1408.

Qiu, Keni, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, and Vijaykrishnan Narayanan. Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems. , GVLSI 2020.  

1407.

Zhang, Linfeng, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, and Chenglong Bao. Task-Oriented Feature Distillation. , NeurIPS 2020.  

1406.

Tan, Zhanhong, Jiebo Song, Xiaolong Ma, Sia-Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu,Shaokai Ye,Yanzhi Wang,Dehui Li4,and Kaisheng Ma. PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. , DAC 2020.  

1405.

Yu Guo, Lijinzhi Lin, Huan Cao, Chao Zhang, Xiaodie Lin, Xiao-Min Hu, Bi-Heng Liu, Yun-Feng Huang, Zhaohui Wei, Yong-Jian Han, Chuan-Feng Li, and Guang-Can Guo. Experimental Entanglement Quantification for Unknown Quantum States in a Semi-Device-Independent Manner. , arXiv:2010.09442.  

1404.

Xiaodie Lin, Zhaohui Wei, and Penghui Yao. Quantum and Classical Hybrid Generations for Classical Correlations. , arXiv:2007.10673.