Nonlinear Model Predictive Control with Terminal Cost for Autonomous Vehicles Trajectory Follow von Nan, Jinrui, Ye, Xucheng, Cao, Wanke

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NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration von Zhao, Yinglin, Yang, Jianlei, Li, Bing, Cheng, Xingzhou, Ye, Xucheng, Wang, Xueyan, Jia, Xiaotao, Wang, Zhaohao, Zhang, Youguang, Zhao, Weisheng

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Model predictive control for autonomous vehicle path tracking through optimized kinematics von Nan, Jinrui, Ge, Ziqi, Ye, Xucheng, Burke, Andrew F., Zhao, Jingyuan

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S2 Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks von Yang, Jianlei, Fu, Wenzhi, Cheng, Xingzhou, Ye, Xucheng, Dai, Pengcheng, Zhao, Weisheng

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S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks von Yang, Jianlei, Fu, Wenzhi, Cheng, Xingzhou, Ye, Xucheng, Dai, Pengcheng, Zhao, Weisheng

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Accelerating CNN Training by Pruning Activation Gradients von Ye, Xucheng, Dai, Pengcheng, Luo, Junyu, Guo, Xin, Qi, Yingjie, Yang, Jianlei, Chen, Yiran

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Towards Comprehensive Preference Data Collection for Reward Modeling von Hu, Yulan, Li, Qingyang, Ouyang, Sheng, Chen, Ge, Chen, Kaihui, Mei, Lijun, Ye, Xucheng, Zhang, Fuzheng, Liu, Yong

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FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update von Luo, Junyu, Yang, Jianlei, Ye, Xucheng, Guo, Xin, Zhao, Weisheng

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RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models von Guo, Xin, Yang, Jianlei, Zhou, Haoyi, Ye, Xucheng, Li, Jianxin

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S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks von Yang, Jianlei, Fu, Wenzhi, Cheng, Xingzhou, Ye, Xucheng, Dai, Pengcheng, Zhao, Weisheng

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NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration von Zhao, Yinglin, Yang, Jianlei, Li, Bing, Cheng, Xingzhou, Ye, Xucheng, Wang, Xueyan, Jia, Xiaotao, Wang, Zhaohao, Zhang, Youguang, Zhao, Weisheng

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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training von Dai, Pengcheng, Yang, Jianlei, Ye, Xucheng, Cheng, Xingzhou, Luo, Junyu, Song, Linghao, Chen, Yiran, Zhao, Weisheng

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KwaiYiiMath: Technical Report von Fu, Jiayi, Lin, Lei, Gao, Xiaoyang, Liu, Pengli, Chen, Zhengzong, Yang, Zhirui, Zhang, Shengnan, Zheng, Xue, Li, Yan, Liu, Yuliang, Ye, Xucheng, Liao, Yiqiao, Liao, Chao, Chen, Bin, Song, Chengru, Wan, Junchen, Lin, Zijia, Zhang, Fuzheng, Wang, Zhongyuan, Zhang, Di, Gai, Kun

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Towards Comprehensive Preference Data Collection for Reward Modeling von Hu, Yulan, Li, Qingyang, Ouyang, Sheng, Chen, Ge, Chen, Kaihui, Mei, Lijun, Ye, Xucheng, Zhang, Fuzheng, Liu, Yong

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Accelerating CNN Training by Pruning Activation Gradients von Ye, Xucheng, Dai, Pengcheng, Luo, Junyu, Guo, Xin, Qi, Yingjie, Yang, Jianlei, Chen, Yiran

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RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models von Guo, Xin, Yang, Jianlei, Zhou, Haoyi, Ye, Xucheng, Li, Jianxin

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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training von Dai, Pengcheng, Yang, Jianlei, Ye, Xucheng, Cheng, Xingzhou, Luo, Junyu, Song, Linghao, Chen, Yiran, Zhao, Weisheng

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Accelerating CNN Training by Pruning Activation Gradients von Ye, Xucheng, Dai, Pengcheng, Luo, Junyu, Guo, Xin, Qi, Yingjie, Yang, Jianlei, Chen, Yiran

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KwaiYiiMath: Technical Report von Fu, Jiayi, Lin, Lei, Gao, Xiaoyang, Liu, Pengli, Chen, Zhengzong, Yang, Zhirui, Zhang, Shengnan, Zheng, Xue, Li, Yan, Liu, Yuliang, Ye, Xucheng, Liao, Yiqiao, Liao, Chao, Chen, Bin, Song, Chengru, Wan, Junchen, Lin, Zijia, Zhang, Fuzheng, Wang, Zhongyuan, Zhang, Di, Gai, Kun

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Picture and information classification model generation method and device, equipment and storage medium von YE XUCHENG, WANG SIKAI, REN YONGXIONG

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