Self-Aware Neural Network Systems: A Survey and New Perspective von Du, By Zidong, Guo, Qi, Zhao, Yongwei, Zhi, Tian, Chen, Yunji, Xu, Zhiwei

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Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators von Zidong Du, Lingamneni, Avinash, Yunji Chen, Palem, Krishna V., Temam, Olivier, Chengyong Wu

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A High-Throughput Neural Network Accelerator von Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Temam, Olivier

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Rescue to the Curse of universality von Zhao, Yongwei, Du, Zidong, Guo, Qi, Xu, Zhiwei, Chen, Yunji

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Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training von Chen, Xiaobing, Wang, Yuke, Xie, Xinfeng, Hu, Xing, Basak, Abanti, Liang, Ling, Yan, Mingyu, Deng, Lei, Ding, Yufei, Du, Zidong, Xie, Yuan

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FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space von Li, Xiaqing, Guo, Qi, Zhang, Guangyan, Ye, Siwei, He, Guanhua, Yao, Yiheng, Zhang, Rui, Hao, Yifan, Du, Zidong, Zheng, Weimin

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Rethinking the Importance of Quantization Bias, toward Full Low-bit Training von Liu, Chang, Zhang, Xishan, Zhang, Rui, Li, Ling, Zhou, Shiyi, Huang, Di, Li, Zhen, Du, Zidong, Liu, Shaoli, Chen, Tianshi

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Learning controllable elements oriented representations for reinforcement learning von Yi, Qi, Zhang, Rui, Peng, Shaohui, Guo, Jiaming, Hu, Xing, Du, Zidong, Guo, Qi, Chen, Ruizhi, Li, Ling, Chen, Yunji

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Efficient and Fast High-performance Library Generation for Deep Learning Accelerators von Bi, Jun, Wen, Yuanbo, Li, Xiaqing, Zhao, Yongwei, Guo, Yuxuan, Zhou, Enshuai, Hu, Xing, Du, Zidong, Li, Ling, Chen, Huaping, Chen, Tianshi, Guo, Qi

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Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks von Han, Husheng, Hu, Xing, Hao, Yifan, Xu, Kaidi, Dang, Pucheng, Wang, Ying, Zhao, Yongwei, Du, Zidong, Guo, Qi, Wang, Yanzhi, Zhang, Xishan, Chen, Tianshi

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Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks von Song, Xinkai, Zhi, Tian, Fan, Zhe, Zhang, Zhenxing, Zeng, Xi, Li, Wei, Hu, Xing, Du, Zidong, Guo, Qi, Chen, Yunji

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A Systematic View of Model Leakage Risks in Deep Neural Network Systems von Hu, Xing, Liang, Ling, Chen, Xiaobing, Deng, Lei, Ji, Yu, Ding, Yufei, Du, Zidong, Guo, Qi, Sherwood, Timothy, Xie, Yuan

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Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System von Du, Zidong, Guo, Qi, Zhao, Yongwei, Zeng, Xi, Li, Ling, Cheng, Limin, Xu, Zhiwei, Sun, Ninghui, Chen, Yunji

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Machine Learning Computers With Fractal von Neumann Architecture von Zhao, Yongwei, Fan, Zhe, Du, Zidong, Zhi, Tian, Li, Ling, Guo, Qi, Liu, Shaoli, Xu, Zhiwei, Chen, Tianshi, Chen, Yunji

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Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers von Wen, Yuanbo, Guo, Qi, Du, Zidong, Xu, Jianxing, Zhang, Zhenxing, Hu, Xing, Li, Wei, Zhang, Rui, Wang, Chao, Zhou, Xuehai, Chen, Tianshi

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Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach von Zeng, Xi, Zhi, Tian, Zhou, Xuda, Du, Zidong, Guo, Qi, Liu, Shaoli, Wang, Bingrui, Wen, Yuanbo, Wang, Chao, Zhou, Xuehai, Li, Ling, Chen, Tianshi, Sun, Ninghui, Chen, Yunji

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DLIR: An Intermediate Representation for Deep Learning Processors von Lan, Huiying, Du, Zidong

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A Small-Footprint Accelerator for Large-Scale Neural Networks von Chen, Tianshi, Zhang, Shijin, Liu, Shaoli, Du, Zidong, Luo, Tao, Gao, Yuan, Liu, Junjie, Wang, Dongsheng, Wu, Chengyong, Sun, Ninghui, Chen, Yunji, Temam, Olivier

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Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach von Fang, Shuangde, Du, Zidong, Fang, Yuntan, Huang, Yuanjie, Chen, Yang, Eeckhout, Lieven, Temam, Olivier, Li, Huawei, Chen, Yunji, Wu, Chengyong

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InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks von Zheng, Xinyao, Han, Husheng, Shi, Shangyi, Fang, Qiyan, Du, Zidong, Hu, Xing, Guo, Qi

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