Journals
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BIOINF'20]
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds
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PDF]
Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding.
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JAMT'20]
Chatter detection in high-speed milling processes based on ON-LSTM and PBT
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PDF]
Fei Shi, Hongrui Cao, Yuke Wang, Boyuan Feng, Yufei Ding.
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TNNLS'20]
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
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PDF]
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie.
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TNNLS'20]
Effective and Efficient Batch Normalization Using Few Uncorrelated Data for Statistics Estimation
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PDF]
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Ling Liang, Xing Hu, Yufei Ding, Yuan Xie.
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JSSC'20]
Tianjic: A Unified and Scalable Chip Bridging Neuroscience and Deep Learning
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PDF]
Li Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi.
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Neural Networks'19]
Rethinking the Performance Comparison between SNNs and ANNs
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PDF]
Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie.
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TVLSI'19]
DASM: DAta-Streaming Based Computing in Non-Volatile Memory Architecture for Embedded System
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PDF]
Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yufei Ding, Weisheng Zhao, Yuan Xie
Conferences
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Google scholar]
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CCGrid'21]
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs
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To appear]
Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding.
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IPDPS'21]
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolution
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To appear]
Yuke Wang, Boyuan Feng, Yufei Ding.
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PPoPP'21]
EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
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To appear]
Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding.
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AAAI'21]
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
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To appear]
Boyuan Feng, Yuke Wang, Yufei Ding.
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ICASSP'21]
SAGA: Sparse Adversarial Attack on EEG-based Brain Computer Interface
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To appear]
Boyuan Feng, Yuke Wang, Yufei Ding.
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ICTAI'20]
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
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To appear]
Boyuan Feng*, Yuke Wang*, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding (the first two authors contribute equally).
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OOPSLA'20]
Projection-based Runtime Assertions for Testing and Debugging Quantum Programs
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Distinguished Paper Award]
Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie.
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NPC'20]
A Close Look at Multi-Tenant Parallel CNN Inference for Autonomous Driving
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To appear]
Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding
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MICRO'20]
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture
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To appear]
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie.
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ICML'20]
Boosting Deep Neural Network Efficiency with Dual-Module Inference
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To appear]
Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Xing Hu, Yufei Ding, Yuan Xie.
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DAC'20]
Eliminating Redundant Computation in Noisy Quantum Computing Simulation
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To appear]
Gushu Li, Yufei Ding, Yuan Xie.
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ISCA'20]
iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture
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PDF]
Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie.
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ASPLOS'20]
Towards Efficient Superconducting Quantum Processor Architecture Design
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PDF]
Gushu Li, Yufei Ding, Yuan Xie.
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ASPLOS'20]
DeepSniffer: a DNN Model Extraction Framework based on Learning Architectural Hints
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PDF]
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie.
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AAAI'20]
Weighted-Sampling Audio Adversarial Example Attack
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PDF]
Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu.
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ICTAI'19]
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
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PDF]
Kun Wan, Shu Yang, Boyuan Feng, Lingwei Xie, Yufei Ding.
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FCCM'19 (Poster)]
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA
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PDF]
Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding.
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ASPLOS'19]
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices
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PDF]
Gushu Li, Yufei Ding, Yuan Xie.
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ICLR'19]
Dynamic Sparse Graph for Efficient Deep Learning
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PDF]
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie.
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NSF'18]
Inter-Disciplinary Research Challenges in Computer Systems for the 2020s
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PDF]
Albert Cohen, Xipeng Shen, Josep Torrellas, James Tuck, Yuanyuan Zhou, et al.
Technical Report, National Science Foundation, USA, December, 2018
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SysML'18]
TOP: A Compiler-Based Framework for Optimizing Machine Learning Algorithms through Generalized Triangle Inequality
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PDF]
Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz.
SysML, Feb 16th, 2018. Paul Brest Hall · Stanford University.
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ICDE'18]
Reuse-Centric K-Means Configuration
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PDF]
Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim.
34th IEEE International Conference on Data Engineering. April 16th – 20th, 2018.
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OOPSLA'17]
GLORE: Generalized Loop Redundancy Elimination upon LER-Notation
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PDF]
Yufei Ding, Xipeng Shen.
Proceedings of the 2017 ACM International Conference on Object Oriented Programming Systems Languages & Applications . [Acceptance ratio: 29% (66/223).]
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PLDI'17]
Generalizations of the Theory and Deployment of Triangular Inequality for Compiler-Based Strength Reduction
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PDF]
Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen.
The ACM SIGPLAN Conference on Programming Language Design and Implementation 2017. [Acceptance ratio: 15% (47/322).]
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ICDE'17]
Sweet KNN: An Efficient KNN on GPU through Reconciliation of Redundancy and Regularity
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PDF]
Guoyang Chen, Yufei Ding, Xipeng Shen.
2017 IEEE International Conference on Data Engineering, San Diego, California, April 19-22, 2017.
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PLDI'15]
Autotuning algorithmic choice for input sensitivity
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PDF]
Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman Amarasinghe.
ACM SIGPLAN conference on Programming Language Design and Implementation, Portland, Orgon, June 13-17, 2015. [Acceptance ratio: 19% (58/303).]
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ICML'15]
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
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PDF]
Yufei Ding, Yue Zhao, Xipeng Shen, Madan Musuvathi, Todd Mytkowicz.
International Conference on Machine Learning, Lille, France, July 06-11, 2015. [Acceptance ratio: 26% (270/1037).]
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VLDB'15]
TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems
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PDF]
Yufei Ding, Xipeng Shen, Madan Musuvathi, Todd Mytkowicz.
The 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii, August, 2015.
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ASPLOS'14]
Finding the Limit: Examining the Potential and Complexity of Compilation Scheduling for JIT-Based Runtime System
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PDF]
Yufei Ding, Mingzhou Zhou, Zhijia Zhao, Sarah Eisenstat, Xipeng Shen.
The Nineteenth International Conference on Architectural Support for Programming Languages and Operating Systems, Salt Lake City, 2014. [Acceptance ratio: 23% (49/217).]
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OOPSLA'14]
Call Sequence Prediction through Probabilistic Calling Automata
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PDF]
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. [Acceptance ratio: 28% (53/186)]
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CGO'13]
ProfMig: A Framework for Flexible Migration of Program Profiles Across Software Versions
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PDF]
Mingzhou Zhou, Bo Wu, Yufei Ding, and Xipeng Shen.
International Symposium on Code Generation and Optimization Shenzhen, China, 2013. [Acceptance ratio: 28%]
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