[arXiv]

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.

[arXiv]

Adversarial attack on Speech-to-Text Recognition Models

Xiaolei Liu, Kun Wan, Yufei Ding.

[arXiv]

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.

[arXiv]

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy

Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding.

[arXiv]

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

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

[arXiv]

Penetrating the Fog: the Path to Efficient CNN Models

Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding.

[arXiv]

ProbabilityCNN: Environment Adaptive Model Without Finetuning

Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding.

[ASPLOS'20]

Towards Efficient Superconducting Quantum Processor Architecture Design

[To appear]
Gushu Li, Yufei Ding, Yuan Xie.

[ASPLOS'20]

DeepSniffer: a DNN Model Extraction Framework based on Learning Architectural Hints

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

[AAAI'20]

Weighted-Sampling Audio Adversarial Example Attack

[PDF]
Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu.

[ICTAI'19]

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout

[PDF]
Kun Wan, Shu Yang, Boyuan Feng, Lingwei Xie, Yufei Ding.

[FCCM'19 (Poster)]

KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA

[PDF]
Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding.

[ASPLOS'19]

Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices

[PDF]
Gushu Li, Yufei Ding, Yuan Xie.

[ICLR'19]

Dynamic Sparse Graph for Efficient Deep Learning

[PDF]
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie.

[TVLSI'19]

DASM: DAta-Streaming Based Computing in Non-Volatile Memory Architecture for Embedded System

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

[NSF'18]

Inter-Disciplinary Research Challenges in Computer Systems for the 2020s

[PDF]
Albert Cohen, Xipeng Shen, Josep Torrellas, James Tuck, Yuanyuan Zhou, et al.
Technical Report, National Science Foundation, USA, December, 2018

[SysML'18]

TOP: A Compiler-Based Framework for Optimizing Machine Learning Algorithms through Generalized Triangle Inequality

[PDF]
Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz.
SysML, Feb 16th, 2018. Paul Brest Hall · Stanford University.

[ICDE'18]

Reuse-Centric K-Means Configuration

[PDF]
Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim.
34th IEEE International Conference on Data Engineering. April 16th – 20th, 2018.

[OOPSLA'17]

GLORE: Generalized Loop Redundancy Elimination upon LER-Notation

[PDF]
Yufei Ding, Xipeng Shen.
Proceedings of the 2017 ACM International Conference on Object Oriented Programming Systems Languages & Applications . [Acceptance ratio: 29% (66/223).]

[PLDI'17]

Generalizations of the Theory and Deployment of Triangular Inequality for Compiler-Based Strength Reduction

[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).]

[ICDE'17]

Sweet KNN: An Efficient KNN on GPU through Reconciliation of Redundancy and Regularity

[PDF]
Guoyang Chen, Yufei Ding, Xipeng Shen.
2017 IEEE International Conference on Data Engineering, San Diego, California, April 19-22, 2017.

[PLDI'15]

Autotuning algorithmic choice for input sensitivity

[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).]

[ICML'15]

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

[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).]

[VLDB'15]

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

[PDF]
Yufei Ding, Xipeng Shen, Madan Musuvathi, Todd Mytkowicz.
The 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii, August, 2015.

[ASPLOS'14]

Finding the Limit: Examining the Potential and Complexity of Compilation Scheduling for JIT-Based Runtime System

[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).]

[OOPSLA'14]

Call Sequence Prediction through Probabilistic Calling Automata

[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)]

[CGO'13]

ProfMig: A Framework for Flexible Migration of Program Profiles Across Software Versions

[PDF]
Mingzhou Zhou, Bo Wu, Yufei Ding, and Xipeng Shen.
International Symposium on Code Generation and Optimization Shenzhen, China, 2013. [Acceptance ratio: 28%]