Yiren Zhao

Orcid: 0009-0005-2486-1491

According to our database¹, Yiren Zhao authored at least 51 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Enhancing Real-World Complex Network Representations with Hyperedge Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Architectural Neural Backdoors from First Principles.

[BibT_eX]

[DOI]

CoRR, 2024

DiscDiff: Latent Diffusion Model for DNA Sequence Generation.

[BibT_eX]

[DOI]

Zehui Li

Yuhao Ni

William A. V. Beardall

CoRR, 2024

LQER: Low-Rank Quantization Error Reconstruction for LLMs.

[BibT_eX]

[DOI]

Cheng Zhang

Jianyi Cheng

George A. Constantinides

Yiren Zhao

CoRR, 2024

Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder.

[BibT_eX]

[DOI]

IEEE Access, 2024

ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

Latent Diffusion Model for DNA Sequence Generation.

[BibT_eX]

[DOI]

Zehui Li

Yuhao Ni

Tim August B. Huygelen

CoRR, 2023

LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration.

[BibT_eX]

[DOI]

Jianyi Cheng

Cheng Zhang

Zhewen Yu

Alexander Montgomerie-Corcoran

Can Xiao

Christos-Savvas Bouganis

Yiren Zhao

CoRR, 2023

Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer.

[BibT_eX]

[DOI]

Zehui Li

Akashaditya Das

William A. V. Beardall

Yiren Zhao

Guy-Bart Stan

CoRR, 2023

Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

The Curse of Recursion: Training on Generated Data Makes Models Forget.

[BibT_eX]

[DOI]

CoRR, 2023

Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration.

[BibT_eX]

[DOI]

CoRR, 2023

FlexWAN: Software Hardware Co-design for Cost-Effective and Resilient Optical Backbones.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

MiliPoint: A Point Cloud Dataset for mmWave Radar.

[BibT_eX]

[DOI]

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

Will More Expressive Graph Neural Networks Do Better on Generative Tasks?

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

[BibT_eX]

[DOI]

Cheng Zhang

Jianyi Cheng

Ilia Shumailov

George A. Constantinides

Yiren Zhao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dynamic Stashing Quantization for Efficient Transformer Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adaptive Channel Sparsity for Federated Learning under System Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Architectural Backdoors in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revisiting Structured Dropout.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2023

Revisiting Automated Prompting: Are We Actually Doing Better?

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

DARTFormer: Finding The Best Type Of Attention.

[BibT_eX]

[DOI]

CoRR, 2022

Wide Attention Is The Way Forward For Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks.

[BibT_eX]

[DOI]

CoRR, 2022

Augmentation Backdoors.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Adversarial Training With Data Pruning.

[BibT_eX]

[DOI]

CoRR, 2022

Model Architecture Adaption for Bayesian Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Rapid Model Architecture Adaption for Meta-Learning.

[BibT_eX]

[DOI]

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

DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning.

[BibT_eX]

[DOI]

Robert Hönig

Yiren Zhao

Robert D. Mullins

Proceedings of the International Conference on Machine Learning, 2022

2021

Manipulating SGD with Data Ordering Attacks.

[BibT_eX]

[DOI]

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

Markpainting: Adversarial Machine Learning meets Inpainting.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Sponge Examples: Energy-Latency Attacks on Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

2020

Nudge Attacks on Point-Cloud DNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Learned Low Precision Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Probabilistic Dual Network Architecture Search on Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Pay Attention to Features, Transfer Learn Faster CNNs.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

Towards Certifiable Adversarial Sample Detection.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2019

Efficient and Effective Quantization for Sparse DNNs.

[BibT_eX]

[DOI]

CoRR, 2019

Sitatapatra: Blocking the Transfer of Adversarial Samples.

[BibT_eX]

[DOI]

CoRR, 2019

Focused Quantization for Sparse CNNs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression.

[BibT_eX]

[DOI]

Proceedings of the SysML Conference 2019 (SysML 2019), 2019

Characterizing Sources of Ineffectual Computations in Deep Learning Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

Dynamic Channel Pruning: Feature Boosting and Suppression.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs.

[BibT_eX]

[DOI]

George A. Constantinides

Cheng-Zhong Xu

Proceedings of the International Conference on Field-Programmable Technology, 2019

2018

The Taboo Trap: Behavioural Detection of Adversarial Samples.

[BibT_eX]

[DOI]

CoRR, 2018

Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification.

[BibT_eX]

[DOI]

Philip Heng Wai Leong

Peter Y. K. Cheung

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2018

2016

An efficient implementation of online arithmetic.

[BibT_eX]

[DOI]

Yiren Zhao

John Wickerson

George A. Constantinides

Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

Yiren Zhao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...