Shuangchen Li - RankMe

87 papers A* 22A 12B 2C 1Journal 30Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SETDN: Signal-extraction and target-detection network for dynamic fluorescence molecular tomography. Expert Syst. Appl. Yizhe Zhao, De Wei, Heng Zhang, Shuangchen Li, Lizhi Zhang, Jintao Li, Hongbo Guo, Xiaowei He
2025	J	`jnl`	CSA-FCN: Channel- and Spatial-Gated Attention Mechanism Based Fully Complex-Valued Neural Network for System Matrix Calibration in Magnetic Particle Imaging. IEEE Trans. Computational Imaging Shuangchen Li, Lizhi Zhang, Hongbo Guo, Jintao Li, Jingjing Yu, Xuelei He, Yizhe Zhao, Xiaowei He
2025	J	`jnl`	Deep system prior based graph convolution network for NIR-II fluorescence molecular tomography. Comput. Methods Programs Biomed. Beilei Wang, Shuangchen Li, Heng Zhang, Jia Li, Lizhi Zhang, Jingjing Yu, Xiaowei He, Hongbo Guo
2025	J	`jnl`	Double-Branched and Multi-Magnetic Directions Feature Fusion Network (DB&MDF2-Net) for the Accurate Reconstruction of Magnetic Particle Imaging. IEEE Trans. Computational Imaging Jintao Li, Lizhi Zhang, Shuangchen Li, Huanlong Gao, Shuaishuai He, Yizhe Zhao, Xiaowei He, Yuqing Hou, Hongbo Guo
2025	J	`jnl`	GAICN: Graph Attention Iterative Contraction Network for Bioluminescence Tomography. IEEE Trans. Medical Imaging Heng Zhang, Hongbo Guo, Yuqing Hou, Xiaowei He, Shuangchen Li, Beilei Wang, Jingjing Yu, Yanqiu Liu, Mengxiang Chu, Xuelei He, Huangjian Yi
2025	A	`conf`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. ICCAD Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	J	`jnl`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. CoRR Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	J	`jnl`	Iterative Up-and-Down Sampling Network Based on Pyramid Pooling and Attention Mechanism for 3-D System Matrix Recovery in MPI. IEEE Trans. Instrum. Meas. Lizhi Zhang, Jintao Li, Xiaowei He, Zijian Tang, Shuangchen Li, Yizhe Zhao, Hongbo Guo
2025	J	`jnl`	LaMoSys3.5D: Enabling 3.5D-IC-Based Large Language Model Inference Serving Systems via Hardware/Software Co-Design. CoRR Qipan Wang, Zhe Zhang, Shuangchen Li, Hongzhong Zheng, Zheng Liang, Yibo Lin, Runsheng Wang, Ru Huang
2025	J	`jnl`	Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. CoRR Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu, Yuan Xie, Eren Kursshan
2025	J	`jnl`	RGMLN:Residual Graph Model Learning Network for Bioluminescence Tomography. IEEE Trans. Computational Imaging De Wei, Yizhe Zhao, Shuangchen Li, Heng Zhang, Beilei Wang, Xiaowei He, Jingjing Yu, Huangjian Yi, Xuelei He, Hongbo Guo
2024	—	`conf`	FMT-ReconNet: Fluorescence Molecular Tomography Reconstruction using Prior Knowledge and Deformation Neural Network. EMBC De Wei, Yizhe Zhao, Shuangchen Li, Heng Zhang, Hongbo Guo, Xiaowei He
2024	—	`conf`	Monotone Accelerated Proximal Gradient Network For Bioluminescence Tomography Reconstruction. EMBC Heng Zhang, Xiaowei He, Hongbo Guo, Shuangchen Li, De Wei, Yuqing Hou
2023	B	`conf`	Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction. Image Processing Heng Zhang, Xiaowei He, Hongbo Guo, Yanqiu Liu, Shuangchen Li, Yizhe Zhao, Xuelei He, Jingjing Yu, Yuqing Hou
2023	A*	`conf`	DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang
2023	J	`jnl`	E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption. IEEE Micro Guiming Wu, Qianwen He, Jiali Jiang, Zhenxiang Zhang, Yunfeng Shi, Xin Long, Linquan Jiang, Shuangchen Li, Yuan Xie, Changzheng Wei, Yuan Zhao, Ying Yan, Hui Zhang, Yinchao Zou
2023	B	`conf`	Multi-target reconstruction of fluorescence molecular tomography based on blind source separation. Image Processing Lizhi Zhang, Beilei Wang, Xiaowei He, Shuangchen Li, Xiao Wei, Zijian Tang, Hongbo Guo
2023	—	`conf`	Structure-fused deep 3D hierarchical network: A bioluminescence tomography scheme for different imaging objects. EMBC Beilei Wang, Shuangchen Li, Xuelei He, Yizhe Zhao, Heng Zhang, Xiaowei He, Jingjing Yu, Hongbo Guo
2023	A*	`conf`	TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization. MICRO Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie
2022	—	`conf`	184QPS/W 64Mb/mm ISSCC Dimin Niu, Shuangchen Li, Yuhao Wang, Wei Han, Zhe Zhang, Yijin Guan, Tianchan Guan, Fei Sun, Fei Xue, Lide Duan, Yuanwei Fang, Hongzhong Zheng, Xiping Jiang, Song Wang, Fengguo Zuo, Yubing Wang, Bing Yu, Qiwei Ren, Yuan Xie
2022	J	`jnl`	EPQuant: A Graph Neural Network compression approach based on product quantization. Neurocomputing Linyong Huang, Zhe Zhang, Zhaoyang Du, Shuangchen Li, Hongzhong Zheng, Yuan Xie, Nianxiong Tan
2022	J	`jnl`	Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie
2022	A*	`conf`	Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. ISCA Shuangchen Li, Dimin Niu, Yuhao Wang, Wei Han, Zhe Zhang, Tianchan Guan, Yijin Guan, Heng Liu, Linyong Huang, Zhaoyang Du, Fei Xue, Yuanwei Fang, Hongzhong Zheng, Yuan Xie
2022	J	`jnl`	Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network. IEEE Access Linyong Huang, Zhe Zhang, Shuangchen Li, Dimin Niu, Yijin Guan, Hongzhong Zheng, Yuan Xie
2021	J	`jnl`	DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie
2021	—	`conf`	End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme. EMBC Shuangchen Li, Xuelei He, Heng Zhang, Hongbo Guo, Xiaowei He
2021	A*	`conf`	GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
2021	—	`conf`	L1-L2 Minimization Via A Proximal Operator For Fluorescence Molecular Tomography. EMBC Heng Zhang, Hongbo Guo, Shuangchen Li, Yanqiu Liu, Xuelei He, Xiaowei He, Yuqing Hou
2021	A	`conf`	Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie
2020	A*	`conf`	Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	A*	`conf`	DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	A*	`conf`	DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2020	A*	`conf`	Fulcrum: A Simplified Control and Access Mechanism Toward Flexible and Practical In-Situ Accelerators. HPCA Marzieh Lenjani, Patricia Gonzalez-Guerrero, Elaheh Sadredini, Shuangchen Li, Yuan Xie, Ameen Akel, Sean Eilert, Mircea R. Stan, Kevin Skadron
2020	J	`jnl`	GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
2020	A	`conf`	NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting. ICCAD Wenqin Huangfu, Krishna T. Malladi, Shuangchen Li, Peng Gu, Yuan Xie
2020	J	`jnl`	NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. ACM Trans. Archit. Code Optim. Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2020	J	`jnl`	Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
2020	A	`conf`	fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie
2019	—	`conf`	AERIS: area/energy-efficient 1T2R ReRAM based processing-in-memory neural network system-on-a-chip. ASP-DAC Jinshan Yue, Yongpan Liu, Fang Su, Shuangchen Li, Zhe Yuan, Zhibo Wang, Wenyu Sun, Xueqing Li, Huazhong Yang
2019	A*	`conf`	Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. MICRO Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2019	A*	`conf`	Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. HPCA Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie
2019	A	`conf`	Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. ISLPED Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2019	—	`conf`	CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie
2019	A*	`conf`	FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. ASPLOS Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
2019	J	`jnl`	FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. CoRR Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
2019	A*	`conf`	MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. MICRO Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie
2019	A	`conf`	Memory Trojan Attack on Neural Network Accelerators. DATE Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie
2019	A*	`conf`	Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
2019	—	`conf`	NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. EMC2@HPCA/CVPR/ISCA Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2019	J	`jnl`	NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs. IEEE Comput. Archit. Lett. Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2019	A	`conf`	Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory. DATE Alvin Oliver Glova, Itir Akgun, Shuangchen Li, Xing Hu, Yuan Xie
2019	J	`jnl`	Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2019	J	`jnl`	Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. IEEE Trans. Parallel Distributed Syst. Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Jishen Zhao, Cong Xu, Shuangchen Li, Yuan Xie, Shaojun Wei
2018	A	`conf`	AIM: Fast and energy-efficient AES in-memory implementation for emerging non-volatile main memory. DATE Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuangang Wang, Yuan Xie
2018	—	`conf`	Cost-efficient 3D Integration to Hinder Reverse Engineering During and After Manufacturing. AsianHOST Peng Gu, Dylan C. Stow, Prashansa Mukim, Shuangchen Li, Yuan Xie
2018	J	`jnl`	Exploring Core and Cache Hierarchy Bottlenecks in Graph Processing Workloads. IEEE Comput. Archit. Lett. Abanti Basak, Xing Hu, Shuangchen Li, Sang Min Oh, Yuan Xie
2018	—	`conf`	GraphIA: an in-situ accelerator for large-scale graph processing. MEMSYS Gushu Li, Guohao Dai, Shuangchen Li, Yu Wang, Yuan Xie
2018	J	`jnl`	In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie
2018	—	`—`	Memory-Centric Architectures: Bridging the Gap Between Compute and Memory. Shuangchen Li
2018	A*	`conf`	Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. MICRO Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie
2018	A*	`conf`	RADAR: a 3D-reRAM based DNA alignment accelerator architecture. DAC Wenqin Huangfu, Shuangchen Li, Xing Hu, Yuan Xie
2018	A*	`conf`	SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. MICRO Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie
2018	J	`jnl`	Securing Emerging Nonvolatile Main Memory With Fast and Energy-Efficient AES In-Memory Implementation. IEEE Trans. Very Large Scale Integr. Syst. Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuan Xie
2017	—	`conf`	Building energy-efficient multi-level cell STT-RAM caches with data compression. ASP-DAC Liu Liu, Ping Chi, Shuangchen Li, Yuanqing Cheng, Yuan Xie
2017	A*	`conf`	DRISA: a DRAM-based reconfigurable in-situ accelerator. MICRO Shuangchen Li, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie
2016	J	`jnl`	A C2RTL Framework Supporting Partition, Parallelization, and FIFO Sizing for Streaming Applications. ACM Trans. Design Autom. Electr. Syst. Daming Zhang, Shuangchen Li, Yongpan Liu, Xiaobo Sharon Hu, Xinyu He, Yining Zhang, Pei Zhang, Huazhong Yang
2016	—	`conf`	Architecture design with STT-RAM: Opportunities and challenges. ASP-DAC Ping Chi, Shuangchen Li, Yuanqing Cheng, Yu Lu, Seung-Hyuk Kang, Yuan Xie
2016	—	`conf`	Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu, Yuan Xie, Eren Kursun
2016	A*	`conf`	NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints. MICRO Yu Ji, Youhui Zhang, Shuangchen Li, Ping Chi, Cihang Jiang, Peng Qu, Yuan Xie, Wenguang Chen
2016	A	`conf`	NVSim-CAM: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory. ICCAD Shuangchen Li, Liu Liu, Peng Gu, Cong Xu, Yuan Xie
2016	J	`jnl`	Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power. IEEE Micro Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John (Jack) Morgan Sampson, Vijaykrishnan Narayanan
2016	A*	`conf`	PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. ISCA Ping Chi, Shuangchen Li, Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu, Yu Wang, Yuan Xie
2016	A*	`conf`	Pinatubo: a processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories. DAC Shuangchen Li, Cong Xu, Qiaosha Zou, Jishen Zhao, Yu Lu, Yuan Xie
2015	A*	`conf`	Ambient energy harvesting nonvolatile processors: from circuit to system. DAC Yongpan Liu, Zewei Li, Hehe Li, Yiqun Wang, Xueqing Li, Kaisheng Ma, Shuangchen Li, Meng-Fan Chang, John Sampson, Yuan Xie, Jiwu Shu, Huazhong Yang
2015	A*	`conf`	Architecture exploration for ambient energy harvesting nonvolatile processors. HPCA Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, Jack Sampson, Yuan Xie, Vijaykrishnan Narayanan
2015	A	`conf`	Leveraging emerging nonvolatile memory in high-level synthesis with loop transformations. ISLPED Shuangchen Li, Ang Li, Yuan Zhe, Yongpan Liu, Peng Li, Guangyu Sun, Yu Wang, Huazhong Yang, Yuan Xie
2015	—	`conf`	Leveraging nonvolatility for architecture design with emerging NVM. NVMSA Shuangchen Li, Ping Chi, Jishen Zhao, Kwang-Ting Cheng, Yuan Xie
2015	J	`jnl`	Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications. IEEE Micro Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John (Jack) Morgan Sampson, Yuan Xie, Vijaykrishnan Narayanan
2015	—	`conf`	Nonvolatile memory allocation and hierarchy optimization for high-level synthesis. ASP-DAC Shuangchen Li, Ang Li, Yongpan Liu, Yuan Xie, Huazhong Yang
2014	C	`conf`	Intra-task scheduling for storage-less and converter-less solar-powered nonvolatile sensor nodes. ICCD Daming Zhang, Shuangchen Li, Ang Li, Yongpan Liu, Xiaobo Sharon Hu, Huazhong Yang
2014	J	`jnl`	PaCC: A Parallel Compare and Compress Codec for Area Reduction in Nonvolatile Processors. IEEE Trans. Very Large Scale Integr. Syst. Yiqun Wang, Yongpan Liu, Shuangchen Li, Xiao Sheng, Daming Zhang, Mei-Fang Chiang, Baiko Sai, Xiaobo Sharon Hu, Huazhong Yang
2013	—	`conf`	Optimal partition with block-level parallelization in C-to-RTL synthesis for streaming applications. ASP-DAC Shuangchen Li, Yongpan Liu, Xiaobo Sharon Hu, Xinyu He, Yining Zhang, Pei Zhang, Huazhong Yang
2013	A	`conf`	Utilizing voltage-frequency islands in C-to-RTL synthesis for streaming applications. DATE Xinyu He, Shuangchen Li, Yongpan Liu, Xiaobo Sharon Hu, Huazhong Yang
2012	—	`conf`	A 3us wake-up time nonvolatile processor based on ferroelectric flip-flops. ESSCIRC Yiqun Wang, Yongpan Liu, Shuangchen Li, Daming Zhang, Bo Zhao, Mei-Fang Chiang, Yanxin Yan, Baiko Sai, Huazhong Yang
2012	A	`conf`	A compression-based area-efficient recovery architecture for nonvolatile processors. DATE Yiqun Wang, Yongpan Liu, Yumeng Liu, Daming Zhang, Shuangchen Li, Baiko Sai, Mei-Fang Chiang, Huazhong Yang
2012	—	`conf`	A hierarchical C2RTL framework for FIFO-connected stream applications. ASP-DAC Shuangchen Li, Yongpan Liu, Daming Zhang, Xinyu He, Pei Zhang, Huazhong Yang
2011	J	`jnl`	An Energy Efficient Sensor Network Processor with Latency-Aware Adaptive Compression. IEICE Trans. Electron. Yongpan Liu, Shuangchen Li, Jue Wang, Beihua Ying, Huazhong Yang