Xuefei Ning

Orcid: 0000-0003-2209-8312

According to our database¹, Xuefei Ning authored at least 57 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

Evaluating Quantized Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K.

[BibT_eX]

[DOI]

CoRR, 2024

THInImg: Cross-modal Steganography for Presenting Talking Heads in Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2023

Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".

[BibT_eX]

[DOI]

CoRR, 2023

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels.

[BibT_eX]

[DOI]

Zifu Wang

Xuefei Ning

Matthew B. Blaschko

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start".

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Memory-Oriented Structural Pruning for Efficient Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Fault-Tolerant Deep Learning: A Hierarchical Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE VLSI Test Symposium, 2022

TA-GATES: An Encoding Scheme for Neural Network Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Autonomous Driving System Design: From Software to Hardware.

[BibT_eX]

[DOI]

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2021

Machine Learning for Electronic Design Automation: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2021

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward.

[BibT_eX]

[DOI]

CoRR, 2021

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Evaluating Efficient Performance Estimators of Neural Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Computing Platform Design for Autonomous Driving Systems.

[BibT_eX]

[DOI]

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Nonparametric Topic Modeling with Neural Inference.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities.

[BibT_eX]

[DOI]

CoRR, 2020

aw_nas: A Modularized and Extensible NAS framework.

[BibT_eX]

[DOI]

CoRR, 2020

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures.

[BibT_eX]

[DOI]

CoRR, 2020

A Surgery of the Neural Architecture Evaluators.

[BibT_eX]

[DOI]

CoRR, 2020

Physical Adversarial Attack on Vehicle Detector in the Carla Simulator.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2020

FTT-NAS: Discovering Fault-Tolerant Neural Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

FTT-NAS: Discovering Fault-Tolerant Neural Architecture.

[BibT_eX]

[DOI]

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems.

[BibT_eX]

[DOI]

Lixue Xia

Mengyun Liu

Xuefei Ning

Krishnendu Chakrabarty

Yu Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Compressed CNN Training with FPGA-based Accelerator.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018

Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA.

[BibT_eX]

[DOI]

ACM Trans. Reconfigurable Technol. Syst., 2018

Nonparametric Topic Modeling with Neural Inference.

[BibT_eX]

[DOI]

CoRR, 2018

Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

RRAM Based Buffer Design for Energy Efficient CNN Accelerator.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Real-time object detection towards high power efficiency.

[BibT_eX]

[DOI]

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Field Programmable Technology, 2017

Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems.

[BibT_eX]

[DOI]

Lixue Xia

Mengyun Liu

Xuefei Ning

Krishnendu Chakrabarty

Yu Wang

Proceedings of the 54th Annual Design Automation Conference, 2017

Xuefei Ning

Timeline

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