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ORCIDYufei Ding 0001
Person information
- affiliation: University of California San Diego, Department of Computer Science & Engineering, San Diego, CA, USA
- affiliation (2017 - 2023): University of California at Santa Barbara, Department of Computer Science, Santa Barbara, CA, USA
- affiliation (PhD 2014): North Carolina State University, Raleigh, NC, USA
- affiliation (until 2011): College of William and Mary, Williamsburg, VA, USA
Other persons with the same name
- Yufei Ding 0002
![[0009-0005-6219-2989]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-6219-2989")
— Peking University, School of Electronic Engineering and Computer Science, Beijing, China
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2020 – today
- 2025
[c84]Samuel Alexander Stein, Shifan Xu, Andrew W. Cross, Theodore J. Yoder, Ali Javadi-Abhari, Chenxu Liu, Kun Liu, Zeyuan Zhou, Charlie Guinn, Yufei Ding, Yongshan Ding, Ang Li:
HetEC: Architectures for Heterogeneous Quantum Error Correction Codes. ASPLOS (2) 2025: 515-528- [c83]Keyi Yin, Hezi Zhang, Xiang Fang, Yunong Shi, Travis S. Humble, Ang Li, Yufei Ding:
QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Architectures. ASPLOS (1) 2025: 876-890 - [c82]Jiayi Huang, Yanhua Chen, Zhe Wang, Christopher J. Hughes, Yufei Ding, Yuan Xie:
Push Multicast: A Speculative and Coherent Interconnect for Mitigating Manycore CPU Communication Bottleneck. HPCA 2025: 1541-1556 - [c81]Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan:
Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. ICLR 2025 - [c80]Yuchen Zhu, Jinglei Cheng, Boxi Li, Kecheng Liu, Yidong Zhou, Hanrui Wang, Yufei Ding, Zhiding Liang:
Hardware-aware Calibration Protocol for Quantum Computers. ISCA 2025: 241-256 - [c79]Xiang Fang, Keyi Yin, Yuchen Zhu, Jixuan Ruan, Dean Tullsen, Zhiding Liang, Andrew Sornborger, Ang Li, Travis S. Humble, Yufei Ding, Yunong Shi:
CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error Correction. ISCA 2025: 1402-1416 - [c78]Hezi Zhang, Yiran Xu, Haotian Hu, Keyi Yin, Hassan Shapourian, Jiapeng Zhao, Ramana Rao Kompella, Reza Nejabati, Yufei Ding:
SwitchQNet: Optimizing Distributed Quantum Computing for Quantum Data Centers with Switch Networks. ISCA 2025: 1449-1463 - [c77]Guyue Huang, Hao Li, Le Qin, Jiayi Huang, Yangwook Kang, Yufei Ding, Yuan Xie:
TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model. ISCA 2025: 1880-1893 - [c76]Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz:
KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. OSDI 2025: 205-220 - [c75]Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding:
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. OSDI 2025: 785-801 - [c74]Zhengding Hu, Vibha Murthy, Zaifeng Pan, Wanlu Li, Xiaoyi Fang, Yufei Ding, Yuke Wang:
HedraRAG: Co-Optimizing Generation and Retrieval for Heterogeneous RAG Workflows. SOSP 2025: 623-638 - [c73]Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang, Keren Zhou, Yuke Wang, Wanlu Li, Yufei Ding, Adnan Aziz:
Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling. SOSP 2025: 1046-1061 - [c72]Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Tony Tong Geng, Ang Li, Yufei Ding:
GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism. USENIX ATC 2025: 89-103 - [i54]Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding:
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. CoRR abs/2503.17924 (2025) - [i53]Hezi Zhang, Jixuan Ruan, Dean Tullsen, Yufei Ding, Ang Li, Travis S. Humble:
OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing. CoRR abs/2504.17116 (2025) - [i52]Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz:
KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. CoRR abs/2505.21661 (2025) - [i51]Zaifeng Pan, Ajjkumar Patel, Zhengding Hu, Yipeng Shen, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding:
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows. CoRR abs/2507.07400 (2025) - [i50]Zhengding Hu, Vibha Murthy, Zaifeng Pan, Wanlu Li, Xiaoyi Fang, Yufei Ding, Yuke Wang:
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving. CoRR abs/2507.09138 (2025) - [i49]Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai:
Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting. CoRR abs/2510.05497 (2025) - 2024
- [c71]Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie:
EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. ASPLOS (3) 2024: 301-316 - [c70]Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding:
ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. ASPLOS (1) 2024: 450-464 - [c69]Hezi Zhang, Keyi Yin, Anbang Wu, Hassan Shapourian, Alireza Shabani, Yufei Ding:
MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets. ASPLOS (2) 2024: 699-714 - [c68]Hezi Zhang, Jixuan Ruan, Hassan Shapourian, Ramana Rao Kompella, Yufei Ding:
OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing. ASPLOS (3) 2024: 738-754 - [c67]Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding:
RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. ASPLOS (2) 2024: 964-979 - [c66]Fuyu Wang, Minghua Shen, Yufei Ding, Nong Xiao:
Soter: Analytical Tensor-Architecture Modeling and Automatic Tensor Program Tuning for Spatial Accelerators. ISCA 2024: 991-1004 - [c65]Keyi Yin, Xiang Fang, Travis S. Humble, Ang Li, Yunong Shi, Yufei Ding:
Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation. MICRO 2024: 750-764 - [c64]Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding:
RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. SC 2024: 41 - [c63]Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding:
OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. USENIX ATC 2024: 667-682 - [i48]Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang:
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. CoRR abs/2407.13126 (2024) - 2023
- [j24]Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits 58(1): 243-255 (2023) - [j23]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58(6): 1798-1809 (2023) - [j22]Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16(7): 1615-1628 (2023) - [j21]Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie:
MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing. ACM Trans. Archit. Code Optim. 20(3): 40:1-40:26 (2023) - [j20]Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie:
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 109-121 (2023) - [j19]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2569-2583 (2023) - [j18]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2791-2805 (2023) - [j17]Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang:
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. ACM Trans. Multim. Comput. Commun. Appl. 19(5s): 172:1-172:17 (2023) - [c62]Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
On Adversarial Robustness of Point Cloud Semantic Segmentation. DSN 2023: 531-544 - [c61]Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, James Andrew Ang, Ang Li:
Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA 2023: 8:1-8:13 - [c60]Hezi Zhang, Anbang Wu, Yuke Wang, Gushu Li, Hassan Shapourian, Alireza Shabani, Yufei Ding:
OneQ: A Compilation Framework for Photonic One-Way Quantum Computation. ISCA 2023: 12:1-12:14 - [c59]Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie:
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA 2023: 58:1-58:14 - [c58]Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie:
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO 2023: 338-352 - [c57]Anbang Wu, Yufei Ding, Ang Li:
QuComm: Optimizing Collective Communication for Distributed Quantum Computing. MICRO 2023: 479-493 - [c56]Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie:
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. MLSys 2023 - [c55]Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding:
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI 2023: 779-795 - [c54]Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP 2023: 369-379 - [c53]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:
QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices. SC Workshops 2023: 1468-1477 - [c52]Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding:
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX ATC 2023: 149-164 - [i47]Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang:
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. CoRR abs/2310.06468 (2023) - 2022
- [j16]Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie:
MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures. IEEE Comput. Archit. Lett. 21(1): 1-4 (2022) - [j15]Yufei Ding, Ali Javadi-Abhari:
Quantum and Post-Moore's Law Computing. IEEE Internet Comput. 26(1): 5-6 (2022) - [j14]Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie:
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71(12): 3165-3178 (2022) - [j13]Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie:
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71(12): 3254-3267 (2022) - [j12]Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 936-949 (2022) - [j11]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 Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1358-1370 (2022) - [c51]Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie:
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS 2022: 14-26 - [c50]Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie:
Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels. ASPLOS 2022: 554-569 - [c49]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC 2022: 595-600 - [c48]Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie:
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. DAC 2022: 1153-1158 - [c47]Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Andrew Ang, Ang Li:
EQC: ensembled quantum computing for variational quantum algorithms. ISCA 2022: 59-71 - [c46]Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA 2022: 102-115 - [c45]Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie:
A synthesis framework for stitching surface code with superconducting quantum devices. ISCA 2022: 337-350 - [c44]Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
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. ISSCC 2022: 1-3 - [c43]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC 2022: 466-468 - [c42]Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, Yufei Ding:
AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs. MICRO 2022: 1027-1041 - [c41]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys 2022 - [c40]Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang:
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks. NeurIPS 2022 - [c39]Yuke Wang, Boyuan Feng, Yufei Ding:
QGTC: accelerating quantized graph neural networks via GPU tensor core. PPoPP 2022: 107-119 - [c38]Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li:
LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. SC 2022: 38:1-38:14 - [c37]Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding:
EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. SC 2022: 70:1-70:14 - [c36]Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding:
Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX ATC 2022: 167-182 - [i46]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR abs/2202.08556 (2022) - [i45]Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR abs/2203.00091 (2022) - [i44]Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie:
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning. CoRR abs/2203.05016 (2022) - [i43]Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang:
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks. CoRR abs/2206.04426 (2022) - [i42]Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding:
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR abs/2206.08482 (2022) - [i41]Anbang Wu, Yufei Ding, Ang Li:
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering. CoRR abs/2208.06724 (2022) - [i40]Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding:
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR abs/2209.06800 (2022) - [i39]Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding:
Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR abs/2209.12708 (2022) - [i38]Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie:
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR abs/2210.16691 (2022) - 2021
- [j10]Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-centric k-means configuration. Inf. Syst. 100: 101787 (2021) - [j9]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie:
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 348-362 (2021) - [c35]Boyuan Feng, Yuke Wang, Yufei Ding:
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. AAAI 2021: 7404-7412 - [c34]Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding:
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. CCGRID 2021: 133-142 - [c33]Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. CIKM 2021: 2050-2059 - [c32]Boyuan Feng, Yuke Wang, Yufei Ding:
Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP 2021: 975-979 - [c31]Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie:
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD 2021: 1-9 - [c30]Yuke Wang, Boyuan Feng, Yufei Ding:
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. IPDPS 2021: 619-628 - [c29]Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie:
Improving Streaming Graph Processing Performance using Input Knowledge. MICRO 2021: 1036-1050 - [c28]Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie:
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO 2021: 1309-1322 - [c27]Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie:
On the Co-Design of Quantum Software and Hardware. NANOCOM 2021: 15:1-15:7 - [c26]Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI 2021: 515-531 - [c25]Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding:
EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP 2021: 278-291 - [c24]Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding:
APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC 2021: 37 - [c23]Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC 2021: 78 - [c22]Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding:
Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. USENIX ATC 2021: 427-441 - [i37]Yuke Wang, Boyuan Feng, Yufei Ding:
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. CoRR abs/2101.00745 (2021) - [i36]Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie:
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing. CoRR abs/2103.06653 (2021) - [i35]Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding:
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR abs/2106.12169 (2021) - [i34]Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie:
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR abs/2106.16064 (2021) - [i33]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR abs/2110.09524 (2021) - [i32]Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie:
Transformer Acceleration with Dynamic Sparse Attention. CoRR abs/2110.11299 (2021) - [i31]Yuke Wang, Boyuan Feng, Yufei Ding:
QGTC: Accelerating Quantized GNN via GPU Tensor Core. CoRR abs/2111.09547 (2021) - [i30]Anbang Wu, Gushu Li, Yufei Ding, Yuan Xie:
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training. CoRR abs/2111.13209 (2021) - [i29]Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yuan Xie, Yufei Ding:
QECV: Quantum Error Correction Verification. CoRR abs/2111.13728 (2021) - [i28]Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie:
Mapping Surface Code to Superconducting Quantum Processors. CoRR abs/2111.13729 (2021) - [i27]Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie:
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. CoRR abs/2111.13730 (2021) - [i26]Yuke Wang, Boyuan Feng, Yufei Ding:
TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. CoRR abs/2112.02052 (2021) - [i25]Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
Attacking Point Cloud Segmentation with Color-only Perturbation. CoRR abs/2112.05871 (2021) - [i24]Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu:
ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. IACR Cryptol. ePrint Arch. 2021: 87 (2021) - 2020
- [j8]Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding:
Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. Bioinform. 36(9): 2848-2855 (2020) - [j7]Zhiwei Ni, Pingfan Xia, Xuhui Zhu, Yufei Ding, Liping Ni:
A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure. J. Intell. Fuzzy Syst. 39(6): 8299-8313 (2020) - [j6]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 J. Solid State Circuits 55(8): 2228-2246 (2020) - [j5]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 121: 294-307 (2020) - [j4]Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie:
Projection-based runtime assertions for testing and debugging Quantum programs. Proc. ACM Program. Lang. 4(OOPSLA): 150:1-150:29 (2020) - [c21]Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu:
Weighted-Sampling Audio Adversarial Example Attack. AAAI 2020: 4908-4915 - [c20]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. ASPLOS 2020: 385-399 - [c19]Gushu Li, Yufei Ding, Yuan Xie:
Towards Efficient Superconducting Quantum Processor Architecture Design. ASPLOS 2020: 1031-1045 - [c18]Gushu Li, Yufei Ding, Yuan Xie:
Eliminating Redundant Computation in Noisy Quantum Computing Simulation. DAC 2020: 1-6 - [c17]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. ICML 2020: 6205-6215 - [c16]Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding:
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. ICTAI 2020: 1044-1052 - [c15]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. ISCA 2020: 804-817 - [c14]Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie:
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO 2020: 738-750 - [c13]Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding:
A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving. NPC 2020: 92-104 - [i23]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR abs/2001.01587 (2020) - [i22]Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR abs/2006.06608 (2020) - [i21]Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding:
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. CoRR abs/2007.05100 (2020) - [i20]Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
Optimizing Convolutional Neural Network Architecture via Information Field. CoRR abs/2009.05236 (2020) - [i19]Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding:
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. CoRR abs/2009.10233 (2020) - [i18]Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding:
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. CoRR abs/2009.10235 (2020) - [i17]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. CoRR abs/2009.12495 (2020)
2010 – 2019
- 2019
- [j3]Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yufei Ding, Weisheng Zhao, Yuan Xie:
DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System. IEEE Trans. Very Large Scale Integr. Syst. 27(9): 2046-2059 (2019) - [c12]Gushu Li, Yufei Ding, Yuan Xie:
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. ASPLOS 2019: 1001-1014 - [c11]Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM 2019: 320 - [c10]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c9]Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ICTAI 2019: 760-767 - [i16]Xiaolei Liu, Kun Wan, Yufei Ding:
Adversarial attack on Speech-to-Text Recognition Models. CoRR abs/1901.10300 (2019) - [i15]Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR abs/1903.03916 (2019) - [i14]Gushu Li, Yufei Ding, Yuan Xie:
SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System. CoRR abs/1904.11590 (2019) - [i13]Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR abs/1905.09345 (2019) - [i12]Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding:
AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. CoRR abs/1908.11781 (2019) - [i11]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR abs/1911.00822 (2019) - [i10]Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie:
Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer. CoRR abs/1911.12855 (2019) - [i9]Gushu Li, Yufei Ding, Yuan Xie:
Towards Efficient Superconducting Quantum Processor Architecture Design. CoRR abs/1911.12879 (2019) - 2018
- [c8]Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-Centric K-Means Configuration. ICDE 2018: 1224-1227 - [i8]Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan:
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. CoRR abs/1804.09738 (2018) - [i7]Gushu Li, Yufei Ding, Yuan Xie:
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. CoRR abs/1809.02573 (2018) - [i6]Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding:
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. CoRR abs/1809.06691 (2018) - [i5]Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie:
In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR abs/1809.08358 (2018) - [i4]Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. CoRR abs/1810.00091 (2018) - [i3]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - [i2]Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding:
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. CoRR abs/1810.00867 (2018) - [i1]Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding:
Penetrating the Fog: the Path to Efficient CNN Models. CoRR abs/1810.04231 (2018) - 2017
- [j2]Yufei Ding, Xipeng Shen:
GLORE: generalized loop redundancy elimination upon LER-notation. Proc. ACM Program. Lang. 1(OOPSLA): 74:1-74:28 (2017) - [c7]Guoyang Chen, Yufei Ding, Xipeng Shen:
Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. ICDE 2017: 621-632 - [c6]Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen:
Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. PLDI 2017: 33-48 - 2015
- [j1]Yufei Ding, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz:
TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems. Proc. VLDB Endow. 8(10): 1046-1057 (2015) - [c5]Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz:
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. ICML 2015: 579-587 - [c4]Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe:
Autotuning algorithmic choice for input sensitivity. PLDI 2015: 379-390 - 2014
- [c3]Yufei Ding, Mingzhou Zhou, Zhijia Zhao, Sarah Eisenstat, Xipeng Shen:
Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems. ASPLOS 2014: 607-622 - [c2]Zhijia Zhao, Bo Wu, Mingzhou Zhou, Yufei Ding, Jianhua Sun, Xipeng Shen, Youfeng Wu:
Call sequence prediction through probabilistic calling automata. OOPSLA 2014: 745-762 - 2013
- [c1]Mingzhou Zhou, Bo Wu, Yufei Ding, Xipeng Shen:
Profmig: A framework for flexible migration of program profiles across software versions. CGO 2013: 17:1-17:12
Coauthor Index
[c82] [c77] [c71] [j24] [j23] [j22] [j20] [j19] [j18] [c59] [c58] [c56] [c54] [j16] [j14] [j13] [j12] [j11] [c51] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c36] [i46] [i45] [i44] [i39] [i38] [j9] [c34] [c31] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [i36] [i34] [i33] [i32] [i30] [i29] [i28] [i27] [j6] [j5] [j4] [c20] [c19] [c18] [c17] [c15] [c14] [i23] [i22] [i17] [j3] [c12] [c10] [i15] [i14] [i12] [i11] [i10] [i9] [i7] [i5] [i3]
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