Yufei Ding

According to our database1, Yufei Ding authored at least 50 papers between 2013 and 2021.

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Bibliography

2021
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2021

ZEN: Efficient Zero-Knowledge Proofs for Neural Networks.
IACR Cryptol. ePrint Arch., 2021

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.
CoRR, 2021

EGEMM-TC: accelerating scientific computing on tensor cores with extended precision.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2020
Projection-based runtime assertions for testing and debugging Quantum programs.
Proc. ACM Program. Lang., 2020

Rethinking the performance comparison between SNNS and ANNS.
Neural Networks, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.
IEEE J. Solid State Circuits, 2020

A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure.
J. Intell. Fuzzy Syst., 2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning.
CoRR, 2020

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.
CoRR, 2020

Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers.
CoRR, 2020

Optimizing Convolutional Neural Network Architecture via Information Field.
CoRR, 2020

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs.
CoRR, 2020

Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient.
CoRR, 2020

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds.
Bioinform., 2020

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture.
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.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Boosting Deep Neural Network Efficiency with Dual-Module Inference.
Proceedings of the 37th International Conference on Machine Learning, 2020

Eliminating Redundant Computation in Noisy Quantum Computing Simulation.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Towards Efficient Superconducting Quantum Processor Architecture Design.
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.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

Weighted-Sampling Audio Adversarial Example Attack.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System.
IEEE Trans. Very Large Scale Integr. Syst., 2019

Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer.
CoRR, 2019

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.
CoRR, 2019

AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms.
CoRR, 2019

SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System.
CoRR, 2019

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.
CoRR, 2019

Adversarial attack on Speech-to-Text Recognition Models.
CoRR, 2019

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Dynamic Sparse Graph for Efficient Deep Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA.
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.
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.
CoRR, 2018

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds.
CoRR, 2018

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.
CoRR, 2018

In-memory multiplication engine with SOT-MRAM based stochastic computing.
CoRR, 2018

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy.
CoRR, 2018

Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers.
CoRR, 2018

Reuse-Centric K-Means Configuration.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
GLORE: generalized loop redundancy elimination upon LER-notation.
Proc. ACM Program. Lang., 2017

Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction.
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.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2015
TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems.
Proc. VLDB Endow., 2015

Autotuning algorithmic choice for input sensitivity.
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.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Call sequence prediction through probabilistic calling automata.
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.
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.
Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, 2013


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