[1] Ying Wang, Huawei Li, Xiaowei Li,'A Case of On-chip memory Sub-system Design for Low-Power Machine Learning Accelerators,” to appear in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2017. [2] Ying Wang, Jiachao Deng, Yuntan Fang, Huawei Li, Xiaowei Li, “Resilience-Aware Frequency Tuning for Neural-Network based Approximate Computing Chips,” IEEE Transactions on Very Large Scaled Integration Systems (TVLSI), 2015. [3] Ying Wang, Cheng Wang, Yinhe Han, Huawei Li, Xiaowei Li,'Retention-Aware DRAM Assembly and Repair for Future FGR Memories,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD),2017. [4] Ying Wang , Huawei Li, Dawen Xu, Xiaowei Li, “Real-Time meets Approximate Computing: An Elastic Deep Learning Accelerator Design with Adaptive Trade-off between QoS and QoR,” in IEEE/ACM Proceedings of Design, Automation Conference, 2017. [5] Long Cheng, Ying Wang , Yulong Pei, and Dick Epema, “A Coflow-based Co-optimization Framework for High-performance Data Analytics,” in IEEE/ACM Proceedings of 46th International Conference on Parallel Processing, 2017.
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