Yufei Ding

According to our database, Yufei Ding authored at least 126 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration.

Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang

CoRR, 2024

OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model.

Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Soter: Analytical Tensor-Architecture Modeling and Automatic Tensor Program Tuning for Spatial Accelerators.

Fuyu Wang, Minghua Shen, Yufei Ding, Nong Xiao

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets.

Hezi Zhang, Keyi Yin, Anbang Wu, Hassan Shapourian, Alireza Shabani, Yufei Ding

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing.

Hezi Zhang, Jixuan Ruan, Hassan Shapourian, Ramana Rao Kompella, Yufei Ding

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing.

Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference.

Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree.

Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing.

Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie

ACM Trans. Archit. Code Optim., September, 2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.

Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.

Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., May, 2023

A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks.

Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang

ACM Trans. Multim. Comput. Commun. Appl., 2023

SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration.

Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

SPG: Structure-Private Graph Database via SqueezePIR.

Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie

Proc. VLDB Endow., 2023

ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration.

Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin

IEEE J. Solid State Circuits, 2023

TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes.

Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin

IEEE J. Solid State Circuits, 2023

TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.

Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices.

Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Alexander Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism.

Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs.

Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

QuComm: Optimizing Collective Communication for Distributed Quantum Computing.

Anbang Wu, Yufei Ding, Ang Li

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration.

Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

OneQ: A Compilation Framework for Photonic One-Way Quantum Computation.

Hezi Zhang, Anbang Wu, Yuke Wang, Gushu Li, Hassan Shapourian, Alireza Shabani, Yufei Ding

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum.

Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, James A. Ang, Ang Li

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification.

Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

On Adversarial Robustness of Point Cloud Semantic Segmentation.

Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms.

Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training.

Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Dynamic Sparse Attention for Scalable Transformer Acceleration.

Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie

IEEE Trans. Computers, 2022

A Systematic View of Model Leakage Risks in Deep Neural Network Systems.

Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie

IEEE Trans. Computers, 2022

Quantum and Post-Moore's Law Computing.

Yufei Ding, Ali Javadi-Abhari

IEEE Internet Comput., 2022

Enabling Data Movement and Computation Pipelining in Deep Learning Compiler.

Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie

CoRR, 2022

Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding

CoRR, 2022

CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering.

Anbang Wu, Yufei Ding, Ang Li

CoRR, 2022

GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding

CoRR, 2022

Heuristic Adaptability to Input Dynamics for SpMM on GPUs.

Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang

CoRR, 2022

MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures.

Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie

IEEE Comput. Archit. Lett., 2022

Faith: An Efficient Framework for Transformer Verification on GPUs.

Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs.

Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li

Proceedings of the SC22: International Conference for High Performance Computing, 2022

EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table.

Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding

Proceedings of the SC22: International Conference for High Performance Computing, 2022

QGTC: accelerating quantized graph neural networks via GPU tensor core.

Yuke Wang, Boyuan Feng, Yufei Ding

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Biologically Inspired Dynamic Thresholds for Spiking Neural Networks.

Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.

Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs.

Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, Yufei Ding

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes.

Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration.

Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

A synthesis framework for stitching surface code with superconducting quantum devices.

Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

EQC: ensembled quantum computing for variational quantum algorithms.

Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James A. Ang, Ang Li

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

INSPIRE: in-storage private information retrieval via protocol and architecture co-design.

Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.

Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Heuristic adaptability to input dynamics for SpMM on CPUs.

Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

DOTA: detect and omit weak attentions for scalable transformer acceleration.

Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels.

Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.

Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., 2021

Reuse-centric k-means configuration.

Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim

Inf. Syst., 2021

ZEN: Efficient Zero-Knowledge Proofs for Neural Networks.

Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu

IACR Cryptol. ePrint Arch., 2021

Attacking Point Cloud Segmentation with Color-only Perturbation.

Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li

CoRR, 2021

TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs.

Yuke Wang, Boyuan Feng, Yufei Ding

CoRR, 2021

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms.

Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie

CoRR, 2021

Mapping Surface Code to Superconducting Quantum Processors.

Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie

CoRR, 2021

QECV: Quantum Error Correction Verification.

Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yuan Xie, Yufei Ding

CoRR, 2021

Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training.

Anbang Wu, Gushu Li, Yufei Ding, Yuan Xie

CoRR, 2021

QGTC: Accelerating Quantized GNN via GPU Tensor Core.

Yuke Wang, Boyuan Feng, Yufei Ding

CoRR, 2021

Transformer Acceleration with Dynamic Sparse Attention.

Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie

CoRR, 2021

Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction.

Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie

CoRR, 2021

MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing.

Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie

CoRR, 2021

Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew.

Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores.

Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding

Proceedings of the International Conference for High Performance Computing, 2021

Efficient tensor core-based GPU kernels for structured sparsity under reduced precision.

Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie

Proceedings of the International Conference for High Performance Computing, 2021

EGEMM-TC: accelerating scientific computing on tensor cores with extended precision.

Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.

Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

On the Co-Design of Quantum Software and Hardware.

Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie

Proceedings of the NANOCOM '21: The Eighth Annual ACM International Conference on Nanoscale Computing and Communication, Virtual Event, Italy, September 7, 2021

ENMC: Extreme Near-Memory Classification via Approximate Screening.

Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Improving Streaming Graph Processing Performance using Input Knowledge.

Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.

Yuke Wang, Boyuan Feng, Yufei Ding

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications.

Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface.

Boyuan Feng, Yuke Wang, Yufei Ding

Proceedings of the IEEE International Conference on Acoustics, 2021

An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks.

Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs.

Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.

Boyuan Feng, Yuke Wang, Yufei Ding

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Projection-based runtime assertions for testing and debugging Quantum programs.

Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie

Proc. ACM Program. Lang., 2020

Rethinking the performance comparison between SNNS and ANNS.

Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie

Neural Networks, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

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

IEEE J. Solid State Circuits, 2020

A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure.

Zhiwei Ni, Pingfan Xia, Xuhui Zhu, Yufei Ding, Liping Ni

J. Intell. Fuzzy Syst., 2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning.

Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie

CoRR, 2020

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.

Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding

CoRR, 2020

Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers.

Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding

CoRR, 2020

Optimizing Convolutional Neural Network Architecture via Information Field.

Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding

CoRR, 2020

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs.

Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding

CoRR, 2020

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds.

Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding

Bioinform., 2020

A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving.

Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding

Proceedings of the Network and Parallel Computing, 2020

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture.

Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture.

Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization.

Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Boosting Deep Neural Network Efficiency with Dual-Module Inference.

Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie

Proceedings of the 37th International Conference on Machine Learning, 2020

Eliminating Redundant Computation in Noisy Quantum Computing Simulation.

Gushu Li, Yufei Ding, Yuan Xie

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Towards Efficient Superconducting Quantum Processor Architecture Design.

Gushu Li, Yufei Ding, Yuan Xie

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.

Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

Weighted-Sampling Audio Adversarial Example Attack.

Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System.

Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yufei Ding, Weisheng Zhao, Yuan Xie

IEEE Trans. Very Large Scale Integr. Syst., 2019

Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer.

Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie

CoRR, 2019

AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms.

Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding

CoRR, 2019

SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System.

Gushu Li, Yufei Ding, Yuan Xie

CoRR, 2019

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.

Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie

CoRR, 2019

Adversarial attack on Speech-to-Text Recognition Models.

Xiaolei Liu, Kun Wan, Yufei Ding

CoRR, 2019

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.

Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Dynamic Sparse Graph for Efficient Deep Learning.

Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie

Proceedings of the 7th International Conference on Learning Representations, 2019

KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA.

Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices.

Gushu Li, Yufei Ding, Yuan Xie

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Penetrating the Fog: the Path to Efficient CNN Models.

Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding

CoRR, 2018

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds.

Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding

CoRR, 2018

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.

Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding

CoRR, 2018

In-memory multiplication engine with SOT-MRAM based stochastic computing.

Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie

CoRR, 2018

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy.

Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding

CoRR, 2018

Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers.

Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan

CoRR, 2018

Reuse-Centric K-Means Configuration.

Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

GLORE: generalized loop redundancy elimination upon LER-notation.

Yufei Ding, Xipeng Shen

Proc. ACM Program. Lang., 2017

Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction.

Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen

Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2017

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity.

Guoyang Chen, Yufei Ding, Xipeng Shen

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2015

TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems.

Yufei Ding, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz

Proc. VLDB Endow., 2015

Autotuning algorithmic choice for input sensitivity.

Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe

Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015

Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup.

Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Call sequence prediction through probabilistic calling automata.

Zhijia Zhao, Bo Wu, Mingzhou Zhou, Yufei Ding, Jianhua Sun, Xipeng Shen, Youfeng Wu

Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages & Applications, 2014

Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems.

Yufei Ding, Mingzhou Zhou, Zhijia Zhao, Sarah Eisenstat, Xipeng Shen

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014

2013

Profmig: A framework for flexible migration of program profiles across software versions.

Mingzhou Zhou, Bo Wu, Yufei Ding, Xipeng Shen

Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, 2013