Zhe Li - RankMe

43 papers A* 6A 4B 3C 1Journal 16Unranked 12

Year	Rank	Type	Title / Venue / Authors
2020	—	`conf`	Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. ASP-DAC Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang
2019	—	`conf`	3D Point Cloud Attribute Compression Based on Cylindrical Projection. BMSB Zhe Li, Lanyi He, Wenjie Zhu, Yiling Xu, Jun Sun, Le Yang
2019	J	`jnl`	CircConv: A Structured Convolution with Low Complexity. CoRR Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan
2019	A*	`conf`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2019	—	`conf`	Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. ICESS Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang
2019	B	`conf`	Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. RTCSA Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu
2019	J	`jnl`	HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
2019	J	`jnl`	Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang
2019	—	`ch.`	Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	J	`jnl`	An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing. CoRR Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
2018	—	`conf`	An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. ISQED Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
2018	A	`conf`	C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. FPGA Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang
2018	J	`jnl`	C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. CoRR Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Yanzhi Wang, Qinru Qiu, Yun Liang
2018	J	`jnl`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2018	—	`conf`	Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. ICLR (Workshop) Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
2018	J	`jnl`	Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. CoRR Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
2018	B	`conf`	Learning Topics Using Semantic Locality. ICPR Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu
2018	J	`jnl`	Learning Topics using Semantic Locality. CoRR Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu
2018	A*	`conf`	Thoracic Disease Identification and Localization With Limited Supervision. CVPR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	—	`conf`	Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
2018	J	`jnl`	Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. CoRR Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
2018	A*	`conf`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2018	J	`jnl`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2017	A	`conf`	A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. ICDCS Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang
2017	J	`jnl`	A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. CoRR Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang
2017	J	`jnl`	CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan
2017	A*	`conf`	CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan
2017	A	`conf`	Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan
2017	J	`jnl`	Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang
2017	B	`conf`	Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
2017	A*	`conf`	SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan
2017	—	`conf`	Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
2017	A	`conf`	Structural design optimization for deep convolutional neural networks using stochastic computing. DATE Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang
2017	A*	`conf`	Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. ICML Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan
2017	J	`jnl`	Thoracic Disease Identification and Localization with Limited Supervision. CoRR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2017	—	`conf`	Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang
2016	J	`jnl`	A Neuromorphic Architecture for Context Aware Text Image Recognition. J. Signal Process. Syst. Qinru Qiu, Zhe Li, Khadeer Ahmed, Wei Liu, Syed Faisal Habib, Hai (Helen) Li, Miao Hu
2016	—	`conf`	Assisting fuzzy offline handwriting recognition using recurrent belief propagation. SSCI Yilan Li, Zhe Li, Qinru Qiu
2016	C	`conf`	DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. ICCD Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan
2016	—	`conf`	Designing reconfigurable large-scale deep learning systems using stochastic computing. ICRC Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan
2016	J	`jnl`	SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang
2016	—	`conf`	Towards parallel implementation of associative inference for cogent confabulation. HPEC Zhe Li, Qinru Qiu, Mangesh Tamhankar
2014	—	`conf`	Neuromorphic acceleration for context aware text image recognition. SiPS Qinru Qiu, Zhe Li, Khadeer Ahmed, Hai (Helen) Li, Miao Hu