| 2025 | FCCM | 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 |
| 2025 | SC | Enabling Unstructured Sparse Fine-Tuning and Inference for Foundation Models on Wafer-Scale Engine. | Haoyu Zheng, Yifan Zeng, Linghao Song, Murali Emani, Wenqian Dong |
| 2024 | ASPLOS | TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. | Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong |
| 2024 | FPGA | LevelST: Stream-based Accelerator for Sparse Triangular Solver. | Zifan He, Linghao Song, Robert F. Lucas, Jason Cong |
| 2024 | ICCAD | RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis. | Jason Lau, Yuanlong Xiao, Yutong Xie, Yuze Chi, Linghao Song, Shaojie Xiang, Michael Lo, Zhiru Zhang, Jason Cong, Licheng Guo |
| 2024 | ISCA | NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. | Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen |
| 2023 | FPGA | 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 |
| 2023 | SC | ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. | Linghao Song, Fan Chen, Hai Li, Yiran Chen |
| 2022 | DAC | Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. | Linghao Song, Yuze Chi, Licheng Guo, Jason Cong |
| 2022 | FPGA | 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 |
| 2022 | ICASSP | PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators. | Linghao Song, Yuze Chi, Jason Cong |
| 2021 | DATE | RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. | Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen |
| 2021 | DATE | Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. | Fan Chen, Linghao Song, Hai Li, Yiran Chen |
| 2020 | ASPDAC | PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. | Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen |
| 2020 | ASPDAC | Parallelism in Deep Learning Accelerators. | Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li |
| 2020 | DAC | SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. | Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao |
| 2020 | DATE | ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. | Yitu Wang, Fan Chen, Linghao Song, Chuanjin Richard Shi, Hai Helen Li, Yiran Chen |
| 2020 | HPCA | AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. | Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen |
| 2020 | ISCA | 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, Vijaykrishnan Narayanan |
| 2019 | AAAI | DPATCH: An Adversarial Patch Attack on Object Detectors. | Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li |
| 2019 | DAC | ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. | Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen |
| 2019 | HPCA | HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. | Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen |
| 2019 | ICASSP | Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. | Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok |
| 2019 | ICCAD | How to Obtain and Run Light and Efficient Deep Learning Networks. | Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen |
| 2018 | ASPDAC | ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. | Fan Chen, Linghao Song, Yiran Chen |
| 2018 | DAC | Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. | Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li |
| 2018 | DATE | ReCom: An efficient resistive accelerator for compressed deep neural networks. | Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen |
| 2018 | DATE | ReRAM-based accelerator for deep learning. | Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li |
| 2018 | HPCA | GraphR: Accelerating Graph Processing Using ReRAM. | Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen |
| 2017 | ASPDAC | Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. | Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li |
| 2017 | HPCA | PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. | Linghao Song, Xuehai Qian, Hai Li, Yiran Chen |
| 2017 | ICCAD | 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, Hai Li, Yiran Chen |
| 2016 | DAC | NVSim-VX | Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen |
| 2015 | DAC | A spiking neuromorphic design with resistive crossbar. | Chenchen Liu, Bonan Yan, Chaofei Yang, Linghao Song, Zheng Li, Beiye Liu, Yiran Chen, Hai Li, Qing Wu, Hao Jiang |