Spiking-based matrix computation by leveraging memristor crossbar array. - Hai (Helen) Li; Chenchen Liu; Bonan Yan; Chaofei Yang; Linghao Song; Zheng Li; Yiran Chen 001; Weijie Zhu; Qing Wu 002; Hao Jiang 014 (CISDA, 2015)

A spiking neuromorphic design with resistive crossbar. - Chenchen Liu; Bonan Yan; Chaofei Yang; Linghao Song; Zheng Li; Beiye Liu; Yiran Chen 001; Hai Li 001; Qing Wu 002; Hao Jiang 014 (DAC, 2015)

NVSim-VXs: an improved NVSim for variation aware STT-RAM simulation. - Enes Eken; Linghao Song; Ismail Bayram; Cong Xu 002; Wujie Wen; Yuan Xie 001; Yiran Chen 001 (DAC, 2016)

Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. - Yandan Wang; Wei Wen; Linghao Song; Hai Helen Li (ASP-DAC, 2017)

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. - Linghao Song; Xuehai Qian; Hai Li 001; Yiran Chen 001 (HPCA, 2017)

MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. - Jiachen Mao; Zhongda Yang; Wei Wen; Chunpeng Wu; Linghao Song; Kent W. Nixon; Xiang Chen 010; Hai Li 001; Yiran Chen 001 (ICCAD, 2017)

ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. - Fan Chen 001; Linghao Song; Yiran Chen 001 (ASP-DAC, 2018)

Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. - Ximing Qiao; Xiong Cao; Huanrui Yang; Linghao Song; Hai Li 001 (DAC, 2018)

ReCom: An efficient resistive accelerator for compressed deep neural networks. - Houxiang Ji; Linghao Song; Li Jiang 002; Hai Helen Li; Yiran Chen 001 (DATE, 2018)

ReRAM-based accelerator for deep learning. - Bing Li 017; Linghao Song; Fan Chen 001; Xuehai Qian; Yiran Chen 001; Hai Helen Li (DATE, 2018)

GraphR: Accelerating Graph Processing Using ReRAM. - Linghao Song; Youwei Zhuo; Xuehai Qian; Hai Helen Li; Yiran Chen 001 (HPCA, 2018)

DPatch: Attacking Object Detectors with Adversarial Patches. - Xin Liu 075; Huanrui Yang; Linghao Song; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

DPATCH: An Adversarial Patch Attack on Object Detectors. - Xin Liu 075; Huanrui Yang; Ziwei Liu 002; Linghao Song; Yiran Chen 001; Hai Li 001 (SafeAI@AAAI, 2019)

Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. - Paul Bogdan; Fan Chen 001; Aryan Deshwal; Janardhan Rao Doppa; Biresh Kumar Joardar; Hai (Helen) Li; Shahin Nazarian; Linghao Song; Yao Xiao (CODES+ISSS, 2019)

ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. - Fan Chen 001; Linghao Song; Hai Helen Li; Yiran Chen 001 (DAC, 2019)

Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM. - Fan Chen 001; Linghao Song; Hai (Helen) Li (ACM Great Lakes Symposium on VLSI, 2019)

HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. - Linghao Song; Jiachen Mao; Youwei Zhuo; Xuehai Qian; Hai Li 001; Yiran Chen 001 (HPCA, 2019)

Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. - Linghao Song; Fan Chen 001; Steven R. Young; Catherine D. Schuman; Gabriel N. Perdue; Thomas E. Potok (ICASSP, 2019)

How to Obtain and Run Light and Efficient Deep Learning Networks. - Fan Chen 001; Wei Wen; Linghao Song; Jingchi Zhang; Hai Helen Li; Yiran Chen 001 (ICCAD, 2019)

ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. - Linghao Song; You Wu 006; Xuehai Qian; Hai Li 001; Yiran Chen 001 (CCF Trans. High Perform. Comput., 2019)

PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. - Fan Chen 001; Linghao Song; Hai Helen Li; Yiran Chen 001 (ASP-DAC, 2020)

Parallelism in Deep Learning Accelerators. - Linghao Song; Fan Chen 001; Yiran Chen 001; Hai Helen Li (ASP-DAC, 2020)

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. - Pengcheng Dai; Jianlei Yang 001; Xucheng Ye; Xingzhou Cheng; Junyu Luo 002; Linghao Song; Yiran Chen 001; Weisheng Zhao (DAC, 2020)

ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. - Yitu Wang; Fan Chen 001; Linghao Song; Chuanjin Richard Shi; Hai Helen Li; Yiran Chen 001 (DATE, 2020)

AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. - Linghao Song; Fan Chen 001; Youwei Zhuo; Xuehai Qian; Hai Li 001; Yiran Chen 001 (HPCA, 2020)

GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. - Nagadastagiri Challapalle; Sahithi Rampalli; Linghao Song; Nandhini Chandramoorthy; Karthik Swaminathan; John Sampson; Yiran Chen 001; Vijaykrishnan Narayanan (ISCA, 2020)

Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. - Linghao Song; Fan Chen 001; Xuehai Qian; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

Accelerator Architectures for Deep Learning and Graph Processing. - Linghao Song (2020)

RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. - Fan Chen 001; Linghao Song; Hai Helen Li; Yiran Chen 001 (DATE, 2021)

Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. - Fan Chen 001; Linghao Song; Hai Li 001; Yiran Chen 001 (DATE, 2021)

Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory. - Chengning Wang; Dan Feng 001; Wei Tong 001; Yu Hua 001; Jingning Liu; Bing Wu 001; Wei Zhao 034; Linghao Song; Yang Zhang 051; Jie Xu 013; Xueliang Wei; Yiran Chen 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. - Linghao Song; Yuze Chi; Licheng Guo; Jason Cong (DAC, 2022)

Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. - Linghao Song; Yuze Chi; Atefeh Sohrabizadeh; Young-kyu Choi; Jason Lau; Jason Cong (FPGA, 2022)

PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. - Linghao Song; Yuze Chi; Jason Cong (ICASSP, 2022)

Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. - Linghao Song; Licheng Guo; Suhail Basalama; Yuze Chi; Robert F. Lucas; Jason Cong (FPGA, 2023)

ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. - Linghao Song; Fan Chen 001; Hai Li 001; Yiran Chen 001 (SC, 2023)

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. - Yitu Wang; Shiyu Li 001; Qilin Zheng; Linghao Song; Zongwang Li; Andrew Chang; Hai (Helen) Li; Yiran Chen 001 (CoRR, 2023)

TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. - Licheng Guo; Yuze Chi; Jason Lau; Linghao Song; Xingyu Tian; Moazin Khatti; Weikang Qiao; Jie Wang 022; Ecenur Ustun; Zhenman Fang; Zhiru Zhang; Jason Cong (ACM Trans. Reconfigurable Technol. Syst., 2023)

RapidStream 2.0: Automated Parallel Implementation of Latency-Insensitive FPGA Designs Through Partial Reconfiguration. - Licheng Guo; Pongstorn Maidee; Yun Zhou; Chris Lavin; Eddie Hung; Wuxi Li; Jason Lau; Weikang Qiao; Yuze Chi; Linghao Song; Yuanlong Xiao; Alireza Kaviani; et al. (ACM Trans. Reconfigurable Technol. Syst., 2023)

TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. - Neha Prakriya; Yuze Chi; Suhail Basalama; Linghao Song; Jason Cong (ASPLOS (3), 2024)

LevelST: Stream-based Accelerator for Sparse Triangular Solver. - Zifan He; Linghao Song; Robert F. Lucas; Jason Cong (FPGA, 2024)

RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis. - Jason Lau; Yuanlong Xiao; Yutong Xie 011; Yuze Chi; Linghao Song; Shaojie Xiang; Michael Lo; Zhiru Zhang; Jason Cong; Licheng Guo (ICCAD, 2024)

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. - Yitu Wang; Shiyu Li 001; Qilin Zheng; Linghao Song; Zongwang Li; Andrew Chang; Hai Li 001; Yiran Chen 001 (ISCA, 2024)

NoH: NoC Compilation in High-Level Synthesis. - Huifeng Ke; Sihao Liu; Licheng Guo; Zifan He; Linghao Song; Suhail Basalama; Yuze Chi; Tony Nowatzki; Jason Cong (FCCM, 2025)