[BIOINF'20]

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

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

[JAMT'20]

Chatter detection in high-speed milling processes based on ON-LSTM and PBT

[PDF]
Fei Shi, Hongrui Cao, Yuke Wang, Boyuan Feng, Yufei Ding.

[TNNLS'20]

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

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

[TNNLS'20]

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

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

[JSSC'20]

Tianjic: A Unified and Scalable Chip Bridging Neuroscience and Deep Learning

[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.

[Neural Networks'19]

Rethinking the Performance Comparison between SNNs and ANNs

[PDF]
Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, 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

[AAAI'21]

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

[To appear]
Boyuan Feng, Yuke Wang, Yufei Ding.

[PPoPP'21]

TCVM: Accelerating Scientific Computing on Tensor Cores with Extended Precision

[To appear]
Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding.

[OOPSLA'20]

Projection-based Runtime Assertions for Testing and Debugging Quantum Programs

[Distinguished Paper Award]
Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie.

[ICTAI'20]

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

[To appear]
Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding

[NPC'20]

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

[To appear]
Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding

[MICRO'20]

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

[To appear]
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie.

[ICML'20]

Boosting Deep Neural Network Efficiency with Dual-Module Inference

[To appear]
Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Xing Hu, Yufei Ding, Yuan Xie.

[DAC'20]

Eliminating Redundant Computation in Noisy Quantum Computing Simulation

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

[ISCA'20]

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

[PDF]
Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie.

[ASPLOS'20]

Towards Efficient Superconducting Quantum Processor Architecture Design

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

[ASPLOS'20]

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

[PDF]
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.

[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%]