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2021

[TCAD 2021] Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie, "Rubik: A Hierarchical Architecture for Efficient Graph Learning", IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems
[TCAD 2021] Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding, "STPAcc: Structural TI-based Pruning for Accelerating Distance-related Algorithms on CPU-FPGA Platforms", IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems
[Micro 2021] Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie, "Improving Streaming Graph Processing Performance Using Input Knowledge", 54th IEEE/ACM International Symposium on Microarchitecture
[SC 2021] Zhaodong Chen*, Zheng Qu*, Liu Liu, Yufei Ding, Yuan Xie, "Efficient Tensor Core-based GPU Kernels for Structured Sparsity under Reduced Precision", 2021 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
[SC 2021] Boyuan Feng*, Yuke Wang*, Tong Geng, Ang Li, Yufei Ding, "APNN-TC: Accelerating Arbitrary-Precision Neural Networks on Tensor Cores",
[USENIX ATC 2021] Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding, "Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew", 2021 USENIX Annual Technical Conference
[ACM NanoCom 2021] Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie, "On the Co-Design of Quantum Software and Hardware", 8th ACM International Conference on Nanoscale Computing and Communication
[ICCAD 2021] Jilan Lin, Shuangchen Li, Yufei Ding and Yuan Xie, "Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications", 2021 International Conference On Computer Aided Design
[Micro 2021] Liu Liu*, Jilan Lin*, Zheng Qu, Yufei Ding, Yuan Xie, "ENMC: Extreme Near-Memory Classification via Approximate Screening", 54th IEEE/ACM International Symposium on Microarchitecture
[CIKM 2021] Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding, "An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks", 30th ACM International Conference on Information and Knowledge Management
[GLSVLSI 2021] Nan Wu, Yuan Xie, Cong Hao, "IRONMAN: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning", Proceedings of the 2021 on Great Lakes Symposium on VLSI
[JSTSP] Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie, "Fast Search of the Optimal Contraction Sequence in Tensor Networks", IEEE Journal of Selected Topics in Signal Processing
[TCAD] Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie, "Hardware-Enabled Efficient Data Processing with Tensor-Train Decomposition", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
[IEEE Trans. Conput.] 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 Transactions on Computers
[DAC 2021] Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie, "SEALing Neural Network Models in Encrypted Deep Learning Accelerators", IEEE/ACM Design Automation Conference (DAC), 2021
[OSDI 21] Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, and Yufei Ding, "GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.", 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
[PPoPP 2021] Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding, "EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision", Principles and Practice of Parallel Programming 2021
[HPCA 2021] Tianqi Tang, Sheng Li, Lifeng Nai, Norman P. Jouppi, Yuan Xie, "NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators", 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2021)
[HPCA 2021] Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, and Yuan Xie, "SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator", 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2021)

2020

[OOPSLA 2020] Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, and Yuan Xie, "Projection-Based Runtime Assertions for Testing and Debugging Quantum Programs", the ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2020 (Distinguished Paper Award)
[JSSC] Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin, "Evolver: A Deep Learning Processor with On-Device Quantization-Voltage-Frequency Tuning", IEEE Journal of Solid-State Circuits (JSSC)
[Neural Networks] Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie, "Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences", Neural Networks
[ICCAD 2020] Wenqin Huangfu, Krishna T.Malladi, Shuangchen Li, Peng Gu, Yuan Xie, "NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting", 2020 International Conference on Computer Aided Design
[ICML 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", The 37th International Conference on Machine Learning
[TCAD] Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, and Yuan Xie, "DLUX: a LUT-based Near-Bank Accelerator for Data Center Deep Learning Training Workloads", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
[TCAD] Jilan Lin, Cheng-Da Wen, Xing Hu, Tianqi Tang, Ing-Chao Lin, Yu Wang, and Yuan Xie, "Rescuing RRAM-based Computing from Static and Dynamic Faults", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
[TODAES] Nan Wu, Lei Deng, Guoqi Li, and Yuan Xie, "Core Placement Optimization for Multi-Chip Many-Core Neural Network Systems with Reinforcement Learning", ACM Transactions on Design Automation of Electronic Systems
[TACO] Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie, "NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs", ACM Transactions on Architecture and Code Optimization
[IEEE Computer] Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Jean-Luc Gaudiot, Yuan Xie, "Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures", IEEE Computer
[ICCAD 2020] Zhaodong Chen, Mingyu Yan, Maohua Zhu, Guoqi Li, Shuangchen Li, Yuan Xie, "fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU", 2020 International Conference on Computer Aided Design
[MICRO 2020] Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, and Yuan Xie, "DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture", The 53rd IEEE/ACM International Symposium on Microarchitecture
[TPAMI] Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie, "A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks", IEEE Transactions on Pattern Analysis and Machine Intelligence
[CAL 2020] Peng Gu, Benjamin Lim, Wenqin Huangfu, Krishna Malladi, Andrew Chang, Yuan Xie, "NMTSim: Transaction-Command based Simulator for New Memory Technology Devices", IEEE Computer Architecture Letters (CAL), 2020
[TCAD] Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie, "Practical Attacks on Deep Neural Networks by Memory Trojaning", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
[ISCA 2020] Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie, "iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture", in Proceedings of 47th International Symposium on Computer Architecture (ISCA), 2020
[ISCA 2020] Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin, "TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators towards Local and in Time Domain", in Proceedings of 47th International Symposium on Computer Architecture (ISCA), 2020
[ISCA 2020] Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Yuan Xie, Zhangyang Wang, Yingyan Lin, "SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation", in Proceedings of 47th International Symposium on Computer Architecture (ISCA), 2020
[ISPASS 2020] Abanti Basak, Jilan Lin, Ryan Lorica, Xinfeng Xie, Zeshan Chishti, Alaa Alameldeen, Yuan Xie, "SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads", (https://github.com/abasak24/SAGA-Bench) to appear in International Symposium on Performance Analysis of Systems and Software, 2020
[DAC 2020] Gushu Li, Yufei Ding, Yuan Xie, "Eliminating Redundant Computation in Noisy Quantum Computing Simulation", to appear in Design Automation Conference, 2020
[DAC 2020] Maohua Zhu, Yuan Xie, "Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization", to appear in Design Automation Conference, 2020
[HPCA 2020] Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie, "HyGCN: A GCN Accelerator with Hybrid Architecture", to appear in the 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020
[HPCA 2020] Jianbo Dong, Zheng Cao, Tao Zhang, Jianxi Ye, Shaochuang Wang, Fei Feng, Li Zhao, Xiaoyong Liu, Liuyihan Song, Liwei Peng, Yiqun Guo, Xiaowei Jiang, Lingbo Tang, Yin Du, Yingya Zhang, Pan Pan , Yuan Xie, "EFLOPS: Algorithm and System Co-design for a High Performance Distributed Training Platform", to appear in the 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020
[HPCA 2020] Marzieh Lenjani, Patricia Gonzalez, 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", to appear in the 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020
[ASPLOS 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", to appear in the 25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020
[ASPLOS 2020] Gushu Li, Yufei Ding, Yuan Xie, "Towards Efficient Superconducting Quantum Processor Architecture Design", to appear in the 25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020
[TC 2020] Yijin Guan, Guangyu Sun, Zhihang Yuan, Xingchen Li, Ningyi Xu, Shu Chen, Jason Cong, and Yuan Xie, "Crane: Mitigating Accelerator Under-utilization Caused by Sparsity Irregularities in CNNs", IEEE TRANSACTIONS ON COMPUTERS, 2020
[TNNLS 2020] Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Ling Liang, Xing Hu, Yufei Ding, Yuan Xie., "Effective and Efficient Batch Normalization Using Few Uncorrelated Data for Statistics Estimation", IEEE Transactions on Neural Networks and Learning Systems
[Engineering 2020] Yiran Chen, Yuan Xie, Linghao Song, Fan Chen, and Tianqi Tang, "A Survey of Accelerator Architectures for Deep Neural Networks", Engineering, 2020. 
[NN 2020] Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie, "Rethinking the performance comparison between SNNS and ANNS", Neural Networks, Vol. 21, Page:294-307, 2020.
[JSSC 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 Journal of Solid-State Circuits, 2020.

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