Featured Publications
Chen Bai, Xin Fan, Zhenhua Zhu, Wei Zhang, Yuan Xie (2025). AccelStack: A Cost-Driven Analysis of 3D-Stacked LLM Accelerators. 2025 IEEE/ACM International Conference on Computer Aided Design (ICCAD).
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Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, Lisa Wu Wills (2025). LLM. 265: Video Codecs are Secretly Tensor Codecs. Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture® 🏆Best Paper Award.
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Cong Li, Yihan Yin, Xintong Wu, Jingchen Zhu, Zhutianya Gao, Dimin Niu, Qiang Wu, Xin Si, Yuan Xie, Chen Zhang, Others (2025). H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference. Proceedings of the 52nd Annual International Symposium on Computer Architecture. 🏆Best Paper Award.
Zhaohui Yang, Dawen Ding, Chenghong Zhu, Jianxin Chen, Yuan Xie (2025). Phoenix: Pauli-based High-level Optimization Engine for Instruction Execution on NISQ devices. Design Automation Conference.
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Tongxin Xie, Zhenhua Zhu, Bing Li, Yukai He, Cong Li, Guangyu Sun, Huazhong Yang, Yuan Xie, Yu Wang (2025). UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures. 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA). 🏆Best Paper Honorable Mention Award.
Recent Publications

A comprehensive list of publications is maintained on Prof. Xie’s Google Scholar profile.

Ceyu Xu, Xiangfeng Sun, Weihang Li, Chen Bai, Bangyan Wang, Mengming Li, Zhiyao Xie, Yuan Xie (2026). PF-LLM: Large Language Model Hinted Hardware Prefetching. Proceedings of the 31th ACM International Conference on Architectural Support for Programming Languages and Operating Systems.
Chen Bai, Xin Fan, Zhenhua Zhu, Wei Zhang, Yuan Xie (2025). AccelStack: A Cost-Driven Analysis of 3D-Stacked LLM Accelerators. 2025 IEEE/ACM International Conference on Computer Aided Design (ICCAD).
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Hongyi Wang, Zhenhua Zhu, Tianchen Zhao, Yunfei Xiang, Zehao Wang, Jincheng Yu, Huazhong Yang, Yuan Xie, Yu Wang (2025). REACT3D: Real-time Edge Accelerator for Incremental Training in 3D Gaussian Splatting based SLAM Systems. Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture®.
Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, Lisa Wu Wills (2025). LLM. 265: Video Codecs are Secretly Tensor Codecs. Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture® 🏆Best Paper Award.
Slides
Ling Liang, Zhen Gu, Fahong Zhang, Zhaohui Chen, Zhirui Li, Xin Fan, Dimin Niu, Meng LI, Zhiyong Li, Zongwei Wang, Others (2025). Matrix: Multi-Cipher Structures Dataflow for Parallel and Pipelined TFHE Accelerator. ACM Transactions on Architecture and Code Optimization.
Tianchan Guan, Yijin Guan, Zhaoyang Du, Jiacheng Ma, Boyu Tian, Zhao Wang, Teng Ma, Zheng Liu, Yang Kong, Yuan Xie, Others (2025). MemTunnel: a CXL-based Rack-Scale Host Memory Pooling Architecture for Cloud Service. IEEE Transactions on Parallel and Distributed Systems.
Cong Li, Yihan Yin, Xintong Wu, Jingchen Zhu, Zhutianya Gao, Dimin Niu, Qiang Wu, Xin Si, Yuan Xie, Chen Zhang, Others (2025). H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference. Proceedings of the 52nd Annual International Symposium on Computer Architecture. 🏆Best Paper Award.
Guyue Huang, Hao Li, Le Qin, Jiayi Huang, Yangwook Kang, Yufei Ding, Yuan Xie (2025). TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model. Proceedings of the 52nd Annual International Symposium on Computer Architecture.
Jianbo Dong, Bin Luo, Jun Zhang, Pengcheng Zhang, Fei Feng, Yikai Zhu, Ang Liu, Zian Chen, Yi Shi, Hairong Jiao, Others (2025). Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization. 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA).
Yiquan Chen, Zhen Jin, Yijing Wang, Yi Chen, Jiexiong Xu, Hao Yu, Jinlong Chen, Wenhai Lin, Kanghua Fang, Keyao Zhang, Others (2025). NVMePass: A Lightweight, High-performance and Scalable NVMe Virtualization Architecture with I/O Queues Passthrough. 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA).
Zhaohui Yang, Dawen Ding, Chenghong Zhu, Jianxin Chen, Yuan Xie (2025). Phoenix: Pauli-based High-level Optimization Engine for Instruction Execution on NISQ devices. Design Automation Conference.
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Jiayi Huang, Yanhua Chen, Zhe Wang, Christopher J Hughes, Yufei Ding, Yuan Xie (2025). Push Multicast: A Speculative and Coherent Interconnect for Mitigating Manycore CPU Communication Bottleneck. 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA).
Tongxin Xie, Zhenhua Zhu, Bing Li, Yukai He, Cong Li, Guangyu Sun, Huazhong Yang, Yuan Xie, Yu Wang (2025). UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures. 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA). 🏆Best Paper Honorable Mention Award.
Meng Wu, Mingyu Yan, Wenming Li, Xiaochun Ye, Dongrui Fan, Ninghui Sun, Yuan Xie (2024). A comprehensive survey on gnn characterization. arXiv e-prints.
Hao Zhang, Sicheng Li, Yupeng Gui, Zhiyong Li, Shusong Xu, Yanheng Lu, Dimin Niu, Hongzhong Zheng, Yen-Kuang Chen, Yuan Xie, Others (2024). A Tightly Coupled AI-ISP Vision Processor. IEEE Transactions on Circuits and Systems for Video Technology.
Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Guangyu Sun, Zhigang Ji, Runsheng Wang, Yuan Xie, Others (2024). Dstc: Dual-side sparsity tensor core for dnns acceleration on modern gpu architectures. IEEE Transactions on Computers.
Jiaming Xu, Shan Huang, Jinhao Li, Guyue Huang, Yuan Xie, Yu Wang, Guohao Dai (2024). Enabling efficient sparse multiplications on GPUs with heuristic adaptability. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie (2024). Evt: Accelerating deep learning training with epilogue visitor tree. Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3.
Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie (2024). Klotski v2: Improved DNN Model Orchestration Framework for Dataflow Architecture Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Zhaodong Chen, Weiqin Zhao, Lei Deng, Yufei Ding, Qinghao Wen, Guoqi Li, Yuan Xie (2024). Large-scale self-normalizing neural networks. Journal of Automation and Intelligence.
Ruiyang Ma, Jiayi Huang, Shijian Zhang, Yuan Xie, Guojie Luo (2024). NoCFuzzer: Automating NoC Verification in UVM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Yiquan Chen, Yuan Xie, Yijing Wang, Jiexiong Xu, Zhen Jin, Anyu Li, Xiaoyan Fu, Qiang Liu, Wenzhi Chen (2024). Optimizing nvme storage for large-scale deployment: Key technologies and strategies in alibaba cloud. IEEE Micro.
Zhaohui Chen, Zhen Gu, Yanheng Lu, Xuanle Ren, Ruiguang Zhong, Wen-Jie Lu, Jiansong Zhang, Yichi Zhang, Hanghang Wu, Xiaofu Zheng, Others (2024). SAFE: A Scalable Homomorphic Encryption Accelerator for Vertical Federated Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Yu Zou, Yiran Li, Sheng Wang, Le Su, Zhen Gu, Yanheng Lu, Yijin Guan, Dimin Niu, Mingyu Gao, Yuan Xie, Others (2024). Salus: A Practical Trusted Execution Environment for CPU-FPGA Heterogeneous Cloud Platforms. Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4.
Nan Wu, Yingjie Li, Hang Yang, Hanqiu Chen, Steve Dai, Cong Hao, Cunxi Yu, Yuan Xie (2024). Survey of machine learning for software-assisted hardware design verification: Past, present, and prospect. ACM Transactions on Design Automation of Electronic Systems.
Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, Wenguang Chen, Yuan Xie (2023). A comprehensive survey on distributed training of graph neural networks. Proceedings of the IEEE.
Yanhong Wang, Tianchan Guan, Dimin Niu, Qiaosha Zou, Hongzhong Zheng, C-J Richard Shi, Yuan Xie (2023). Accelerating distributed GNN training by codes. IEEE Transactions on Parallel and Distributed Systems.
Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie (2023). Alcop: Automatic load-compute pipelining in deep learning compiler for ai-gpus. Proceedings of Machine Learning and Systems.
Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie (2023). ArchExplorer: Microarchitecture exploration via bottleneck analysis. Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture.
Xuanle Ren, Zhaohui Chen, Zhen Gu, Yanheng Lu, Ruiguang Zhong, Wen-Jie Lu, Jiansong Zhang, Yichi Zhang, Hanghang Wu, Xiaofu Zheng, Others (2023). CHAM: A customized homomorphic encryption accelerator for fast matrix-vector product. 2023 60th ACM/IEEE Design Automation Conference (DAC).
Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie (2023). Dynamic n: M fine-grained structured sparse attention mechanism. Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming.
Guiming Wu, Qianwen He, Jiali Jiang, Zhenxiang Zhang, Yunfeng Shi, Xin Long, Linquan Jiang, Shuangchen Li, Yuan Xie, Changzheng Wei, Others (2023). E-booster: A field-programmable gate array-based accelerator for secure tree boosting using additively homomorphic encryption. IEEE Micro.
Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie (2023). Ecssd: Hardware/data layout co-designed in-storage-computing architecture for extreme classification. Proceedings of the 50th annual international symposium on computer architecture.
Bizhao Shi, Jiaxi Zhang, Zhuolun He, Xuechao Wei, Sicheng Li, Guojie Luo, Hongzhong Zheng, Yuan Xie (2023). Efficient super-resolution system with block-wise hybridization and quantized winograd on fpga. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie (2023). Gamora: Graph learning based symbolic reasoning for large-scale boolean networks. 2023 60th ACM/IEEE Design Automation Conference (DAC).
Ao Ren, Yuhao Wang, Tao Zhang, Jiaxing Shi, Duo Liu, Xianzhang Chen, Yujuan Tan, Yuan Xie (2023). Hbp: Hierarchically balanced pruning and accelerator co-design for efficient dnn inference. 2023 60th ACM/IEEE Design Automation Conference (DAC).
Yiquan Chen, Zhen Jin, Yijing Wang, Yi Chen, Hao Yu, Jiexiong Xu, Jinlong Chen, Wenhai Lin, Kanghua Fang, Chengkun Wei, Others (2023). High-performance and scalable software-based NVMe virtualization mechanism with I/O queues passthrough. arXiv preprint arXiv:2304.05148.
Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie (2023). Klotski: DNN model orchestration framework for dataflow architecture accelerators. 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD).
Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Others (2023). Mnsim 2.0: A behavior-level modeling tool for processing-in-memory architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie (2023). MPU: Memory-centric SIMT processor via in-DRAM near-bank computing. ACM Transactions on Architecture and Code Optimization.
Yuanwei Fang, Zihao Liu, Yanheng Lu, Jiawei Liu, Jiajie Li, Yi Jin, Jian Chen, Yenkuang Chen, Hongzhong Zheng, Yuan Xie (2023). NPS: a framework for accurate program sampling using graph neural network. arXiv preprint arXiv:2304.08880.
Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Nianxiong Tan, Xiaopeng Yu, Hongzhong Zheng, Jianyi Meng, Xiaolang Yan, Yuan Xie (2023). Predicting the output structure of sparse matrix multiplication with sampled compression ratio. 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS).
Guyue Huang, Zhengyang Wang, Po-an Tsai, Chen Zhang, Yufei Ding, Yuan Xie (2023). Rm-stc: Row-merge dataflow inspired gpu sparse tensor core for energy-efficient sparse acceleration. Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture.
Zhiyao Li, Jiaxiang Li, Taijie Chen, Dimin Niu, Hongzhong Zheng, Yuan Xie, Mingyu Gao (2023). Spada: Accelerating sparse matrix multiplication with adaptive dataflow. Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2.
Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie (2023). Spg: Structure-private graph database via squeezepir. Proceedings of the VLDB Endowment.
Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie (2023). Tt-gnn: Efficient on-chip graph neural network training via embedding reformation and hardware optimization. Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture.
Yuan Xie, Jiawei Ren, Ji Xu (2022). Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform. Ocean engineering.
Nan Wu, Yuan Xie, Cong Hao (2022). Ai-assisted synthesis in next generation eda: Promises, challenges, and prospects. 2022 IEEE 40th International Conference on Computer Design (ICCD).
Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, Yufei Ding (2022). Autocomm: A framework for enabling efficient communication in distributed quantum programs. 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).
Wenqin Huangfu, Krishna T Malladi, Andrew Chang, Yuan Xie (2022). Beacon: Scalable near-data-processing accelerators for genome analysis near memory pool with the cxl support. 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).
Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie (2022). Characterizing and understanding HGNNs on GPUs. IEEE Computer Architecture Letters.
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie (2022). Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).
Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie (2022). Dynamic sparse attention for scalable transformer acceleration. IEEE Transactions on Computers.
Linyong Huang, Zhe Zhang, Zhaoyang Du, Shuangchen Li, Hongzhong Zheng, Yuan Xie, Nianxiong Tan (2022). EPQuant: A Graph Neural Network compression approach based on product quantization. Neurocomputing.
Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang (2022). HEDA: multi-attribute unbounded aggregation over homomorphically encrypted database. Proceedings of the VLDB Endowment.
Sicheng Li, Chen Bai, Xuechao Wei, Bizhao Shi, Yen-Kuang Chen, Yuan Xie (2022). Iccad cad contest 2022.
Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung (2022). Milan: Masked image pretraining on language assisted representation. arXiv preprint arXiv:2208.06049.
Gongjian Sun, Mingyu Yan, Duo Wang, Han Li, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie (2022). Multi-node acceleration for large-scale gcns. IEEE Transactions on Computers.
Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Linyong Huang, Hongzhong Zheng, Yuan Xie (2022). OpSparse: a highly optimized framework for sparse general matrix multiplication on GPUs. IEEE Access.
Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie (2022). Optimal transport for label-efficient visible-infrared person re-identification. European Conference on Computer Vision.
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin (2022). ReDCIM: Reconfigurable digital computing-in-memory processor with unified FP/INT pipeline for cloud AI acceleration. IEEE Journal of Solid-State Circuits.
Jeong-Jun Lee, Wenrui Zhang, Yuan Xie, Peng Li (2022). Saarsp: An architecture for systolic-array acceleration of recurrent spiking neural networks. ACM Journal on Emerging Technologies in Computing Systems (JETC).
Yiqi Wang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin (2022). SPCIM: Sparsity-balanced practical CIM accelerator with optimized spatial-temporal multi-macro utilization. IEEE Transactions on Circuits and Systems I: Regular Papers.
Zihao Zhao, Yanhong Wang, Qiaosha Zou, Tie Xu, Fangbo Tao, Jiansong Zhang, Xiaoan Wang, C-J Richard Shi, Junwen Luo, Yuan Xie (2022). The spike gating flow: A hierarchical structure-based spiking neural network for online gesture recognition. Frontiers in Neuroscience.
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie (2022). Toward robust spiking neural network against adversarial perturbation. Advances in Neural Information Processing Systems.
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin (2022). TranCIM: Full-digital bitline-transpose CIM-based sparse transformer accelerator with pipeline/parallel reconfigurable modes. IEEE Journal of Solid-State Circuits.