Shuangchen Li

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 59

Top Venues

University of California, Santa Barbara, USA (PHD)

Education History

University of California, Santa Barbara, USA

PHD

Publications

Heng Zhang, Xiaowei He, Hongbo Guo, Yanqiu Liu, Shuangchen Li, Yizhe Zhao, Xuelei He, Jingjing Yu, Yuqing Hou
Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction. Medical Imaging: Image Processing (2023)
Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang
DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO (2023)
Lizhi Zhang, Beilei Wang, Xiaowei He, Shuangchen Li, Xiao Wei, Zijian Tang, Hongbo Guo
Multi-target reconstruction of fluorescence molecular tomography based on blind source separation. Medical Imaging: Image Processing (2023)
Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie
TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization. MICRO (2023)
Beilei Wang, Shuangchen Li, Xuelei He, Yizhe Zhao, Heng Zhang, Xiaowei He, Jingjing Yu, Hongbo Guo
Structure-fused deep 3D hierarchical network: A bioluminescence tomography scheme for different imaging objects. EMBC (2023)
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
E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption. IEEE Micro 43 (5) (2023)
Linyong Huang, Zhe Zhang, Shuangchen Li, Dimin Niu, Yijin Guan, Hongzhong Zheng, Yuan Xie
Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network. IEEE Access 10 (2022)
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
Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. ISCA (2022)
Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie
Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers 71 (2) (2022)
Linyong Huang, Zhe Zhang, Zhaoyang Du, Shuangchen Li, Hongzhong Zheng, Yuan Xie, Nianxiong Tan
EPQuant: A Graph Neural Network compression approach based on product quantization. Neurocomputing 503 (2022)
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
3D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System. ISSCC (2022)
Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI (2021)
Shuangchen Li, Xuelei He, Heng Zhang, Hongbo Guo, Xiaowei He
End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme. EMBC (2021)
Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD (2021)
Heng Zhang, Hongbo Guo, Shuangchen Li, Yanqiu Liu, Xuelei He, Xiaowei He, Yuqing Hou
L1-L2 Minimization Via A Proximal Operator For Fluorescence Molecular Tomography. EMBC (2021)
Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie
DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (8) (2021)
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO (2020)
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
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55 (8) (2020)
Marzieh Lenjani, Patricia Gonzalez-Guerrero, Elaheh Sadredini, Shuangchen Li, Yuan Xie, Ameen Akel, Sean Eilert, Mircea R. Stan, Kevin Skadron
Fulcrum: A Simplified Control and Access Mechanism Toward Flexible and Practical In-Situ Accelerators. HPCA (2020)
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS (2020)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. ACM Trans. Archit. Code Optim. 17 (4) (2020)
Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML (2020)
Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR (2020)
Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD (2020)
Wenqin Huangfu, Krishna T. Malladi, Shuangchen Li, Peng Gu, Yuan Xie
NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting. ICCAD (2020)
Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie
CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI (2019)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. EMC2@HPCA/CVPR/ISCA (2019)
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
Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. MICRO (2019)
Jinshan Yue, Yongpan Liu, Fang Su, Shuangchen Li, Zhe Yuan, Zhibo Wang, Wenyu Sun, Xueqing Li, Huazhong Yang
AERIS: area/energy-efficient 1T2R ReRAM based processing-in-memory neural network system-on-a-chip. ASP-DAC (2019)
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR (2019)
Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie
Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. HPCA (2019)
Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Jishen Zhao, Cong Xu, Shuangchen Li, Yuan Xie, Shaojun Wei
Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. IEEE Trans. Parallel Distributed Syst. 30 (1) (2019)
Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie
MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. MICRO (2019)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs. IEEE Comput. Archit. Lett. 18 (1) (2019)
Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie
Memory Trojan Attack on Neural Network Accelerators. DATE (2019)
Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC (2019)
Alvin Oliver Glova, Itir Akgun, Shuangchen Li, Xing Hu, Yuan Xie
Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory. DATE (2019)
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. CoRR (2019)
Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. ISLPED (2019)
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. ASPLOS (2019)
Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie
Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. MICRO (2018)
Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuangang Wang, Yuan Xie
AIM: Fast and energy-efficient AES in-memory implementation for emerging non-volatile main memory. DATE (2018)
Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie
SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. MICRO (2018)
Wenqin Huangfu, Shuangchen Li, Xing Hu, Yuan Xie
RADAR: a 3D-reRAM based DNA alignment accelerator architecture. DAC (2018)
Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie
In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR (2018)
Abanti Basak, Xing Hu, Shuangchen Li, Sang Min Oh, Yuan Xie
Exploring Core and Cache Hierarchy Bottlenecks in Graph Processing Workloads. IEEE Comput. Archit. Lett. 17 (2) (2018)
Gushu Li, Guohao Dai, Shuangchen Li, Yu Wang, Yuan Xie
GraphIA: an in-situ accelerator for large-scale graph processing. MEMSYS (2018)
Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuan Xie
Securing Emerging Nonvolatile Main Memory With Fast and Energy-Efficient AES In-Memory Implementation. IEEE Trans. Very Large Scale Integr. Syst. 26 (11) (2018)
Peng Gu, Dylan C. Stow, Prashansa Mukim, Shuangchen Li, Yuan Xie
Cost-efficient 3D Integration to Hinder Reverse Engineering During and After Manufacturing. AsianHOST (2018)
Shuangchen Li, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie
DRISA: a DRAM-based reconfigurable in-situ accelerator. MICRO (2017)
Liu Liu, Ping Chi, Shuangchen Li, Yuanqing Cheng, Yuan Xie
Building energy-efficient multi-level cell STT-RAM caches with data compression. ASP-DAC (2017)
Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu, Yuan Xie, Eren Kursun
Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI (2016)
Shuangchen Li, Cong Xu, Qiaosha Zou, Jishen Zhao, Yu Lu, Yuan Xie
Pinatubo: a processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories. DAC (2016)
Ping Chi, Shuangchen Li, Yuanqing Cheng, Yu Lu, Seung H. Kang, Yuan Xie
Architecture design with STT-RAM: Opportunities and challenges. ASP-DAC (2016)
Yu Ji, Youhui Zhang, Shuangchen Li, Ping Chi, Cihang Jiang, Peng Qu, Yuan Xie, Wenguang Chen
NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints. MICRO (2016)
Daming Zhang, Shuangchen Li, Yongpan Liu, Xiaobo Sharon Hu, Xinyu He, Yining Zhang, Pei Zhang, Huazhong Yang
A C2RTL Framework Supporting Partition, Parallelization, and FIFO Sizing for Streaming Applications. ACM Trans. Design Autom. Electr. Syst. 21 (2) (2016)
Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John (Jack) Morgan Sampson, Vijaykrishnan Narayanan
Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power. IEEE Micro 36 (3) (2016)
Ping Chi, Shuangchen Li, Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu, Yu Wang, Yuan Xie
PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. ISCA (2016)
Shuangchen Li, Liu Liu, Peng Gu, Cong Xu, Yuan Xie
NVSim-CAM: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory. ICCAD (2016)
Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John (Jack) Morgan Sampson, Yuan Xie, Vijaykrishnan Narayanan
Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications. IEEE Micro 35 (5) (2015)
Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, Jack Sampson, Yuan Xie, Vijaykrishnan Narayanan
Architecture exploration for ambient energy harvesting nonvolatile processors. HPCA (2015)
Shuangchen Li, Ang Li, Yuan Zhe, Yongpan Liu, Peng Li, Guangyu Sun, Yu Wang, Huazhong Yang, Yuan Xie
Leveraging emerging nonvolatile memory in high-level synthesis with loop transformations. ISLPED (2015)
Shuangchen Li, Ping Chi, Jishen Zhao, Kwang-Ting Cheng, Yuan Xie
Leveraging nonvolatility for architecture design with emerging NVM. NVMSA (2015)
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
Ambient energy harvesting nonvolatile processors: from circuit to system. DAC (2015)
Shuangchen Li, Ang Li, Yongpan Liu, Yuan Xie, Huazhong Yang
Nonvolatile memory allocation and hierarchy optimization for high-level synthesis. ASP-DAC (2015)
Daming Zhang, Shuangchen Li, Ang Li, Yongpan Liu, Xiaobo Sharon Hu, Huazhong Yang
Intra-task scheduling for storage-less and converter-less solar-powered nonvolatile sensor nodes. ICCD (2014)
Yiqun Wang, Yongpan Liu, Shuangchen Li, Xiao Sheng, Daming Zhang, Mei-Fang Chiang, Baiko Sai, Xiaobo Sharon Hu, Huazhong Yang
PaCC: A Parallel Compare and Compress Codec for Area Reduction in Nonvolatile Processors. IEEE Trans. Very Large Scale Integr. Syst. 22 (7) (2014)
Xinyu He, Shuangchen Li, Yongpan Liu, Xiaobo Sharon Hu, Huazhong Yang
Utilizing voltage-frequency islands in C-to-RTL synthesis for streaming applications. DATE (2013)
Shuangchen Li, Yongpan Liu, Xiaobo Sharon Hu, Xinyu He, Yining Zhang, Pei Zhang, Huazhong Yang
Optimal partition with block-level parallelization in C-to-RTL synthesis for streaming applications. ASP-DAC (2013)
Yiqun Wang, Yongpan Liu, Yumeng Liu, Daming Zhang, Shuangchen Li, Baiko Sai, Mei-Fang Chiang, Huazhong Yang
A compression-based area-efficient recovery architecture for nonvolatile processors. DATE (2012)
Yiqun Wang, Yongpan Liu, Shuangchen Li, Daming Zhang, Bo Zhao, Mei-Fang Chiang, Yanxin Yan, Baiko Sai, Huazhong Yang
A 3us wake-up time nonvolatile processor based on ferroelectric flip-flops. ESSCIRC (2012)
Shuangchen Li, Yongpan Liu, Daming Zhang, Xinyu He, Pei Zhang, Huazhong Yang
A hierarchical C2RTL framework for FIFO-connected stream applications. ASP-DAC (2012)
Yongpan Liu, Shuangchen Li, Jue Wang, Beihua Ying, Huazhong Yang
An Energy Efficient Sensor Network Processor with Latency-Aware Adaptive Compression. IEICE Trans. Electron. (7) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuangchen Li