Yiren Zhao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 75

Top Topics

Graph Representation

Top Venues

Publications

Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao
HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. CoRR (2024)
Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. CoRR (2024)
Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. CoRR (2024)
Eleanor Clifford, Adhithya Saravanan, Harry Langford, Cheng Zhang, Yiren Zhao, Robert D. Mullins, Ilia Shumailov, Jamie Hayes
Locking Machine Learning Models into Hardware. CoRR (2024)
Zehui Li, Vallijah Subasri, Guy-Bart Stan, Yiren Zhao, Bo Wang
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning. CoRR (2024)
Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
Unlocking the Global Synergies in Low-Rank Adapters. CoRR (2024)
Le Yu, Zhiheng Liang, Yaqi Li, Shiwei Zhang, Yiren Zhao, Peter Y. K. Cheung
Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder. IEEE Access 12 (2024)
Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
Optimised Grouped-Query Attention Mechanism for Transformers. CoRR (2024)
Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert D. Mullins
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. SaTML (2024)
Cheng Zhang, Jianyi Cheng, George A. Constantinides, Yiren Zhao
LQER: Low-Rank Quantization Error Reconstruction for LLMs. CoRR (2024)
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson, Yarin Gal
AI models collapse when trained on recursively generated data. Nat. 631 (8022) (2024)
Zehui Li, Yuhao Ni, William A. V. Beardall, Guoxuan Xia, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
DiscDiff: Latent Diffusion Model for DNA Sequence Generation. CoRR (2024)
Harry Langford, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot
Architectural Neural Backdoors from First Principles. CoRR (2024)
Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu
Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. CVPR (2023)
Jianyi Cheng, Cheng Zhang, Zhewen Yu, Alexander Montgomerie-Corcoran, Can Xiao, Christos-Savvas Bouganis, Yiren Zhao
Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration. CoRR (2023)
Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George A. Constantinides, Yiren Zhao
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? CoRR (2023)
Zehui Li, Yuhao Ni, Tim August B. Huygelen, Akashaditya Das, Guoxuan Xia, Guy-Bart Stan, Yiren Zhao
Latent Diffusion Model for DNA Sequence Generation. CoRR (2023)
Congcong Miao, Zhizhen Zhong, Ying Zhang, Kunling He, Fangchao Li, Minggang Chen, Yiren Zhao, Xiang Li, Zekun He, Xianneng Zou, Jilong Wang
FlexWAN: Software Hardware Co-design for Cost-Effective and Resilient Optical Backbones. SIGCOMM (2023)
Zehui Li, Akashaditya Das, William A. V. Beardall, Yiren Zhao, Guy-Bart Stan
Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer. CoRR (2023)
Han Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao
MiliPoint: A Point Cloud Dataset for mmWave Radar. NeurIPS (2023)
Zixi Zhang, Greg Chadwick, Hugo McNally, Yiren Zhao, Robert D. Mullins
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation. CoRR (2023)
Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR (2023)
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross J. Anderson
The Curse of Recursion: Training on Generated Data Makes Models Forget. CoRR (2023)
Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot
Architectural Backdoors in Neural Networks. CVPR (2023)
Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal
Revisiting Automated Prompting: Are We Actually Doing Better? ACL (2) (2023)
Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao
Dynamic Stashing Quantization for Efficient Transformer Training. EMNLP (Findings) (2023)
Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao
Will More Expressive Graph Neural Networks Do Better on Generative Tasks? LoG (2023)
Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George A. Constantinides, Yiren Zhao
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP (2023)
Han Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao
MiliPoint: A Point Cloud Dataset for mmWave Radar. CoRR (2023)
Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao
Will More Expressive Graph Neural Networks do Better on Generative Tasks? CoRR (2023)
Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao
Dynamic Stashing Quantization for Efficient Transformer Training. CoRR (2023)
Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. CoRR (2023)
Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert Mullins, Yarin Gal
Revisiting Automated Prompting: Are We Actually Doing Better? CoRR (2023)
Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao
Revisiting Structured Dropout. ACML (2023)
Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert Mullins, Nicolas Papernot
Efficient Adversarial Training With Data Pruning. CoRR (2022)
Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot
Architectural Backdoors in Neural Networks. CoRR (2022)
Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
DARTFormer: Finding The Best Type Of Attention. CoRR (2022)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS (2022)
Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert Mullins
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. CoRR (2022)
Yiren Zhao, Oluwatomisin Dada, Xitong Gao, Robert D. Mullins
Revisiting Structured Dropout. CoRR (2022)
Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. CoRR (2022)
Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
Wide Attention Is The Way Forward For Transformers. CoRR (2022)
Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert Mullins
Augmentation Backdoors. CoRR (2022)
Robert Hönig, Yiren Zhao, Robert Mullins
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. ICML (2022)
Duo Wang, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
Model Architecture Adaption for Bayesian Neural Networks. CoRR (2022)
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson
Markpainting: Adversarial Machine Learning meets Inpainting. ICML (2021)
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
Manipulating SGD with Data Ordering Attacks. NeurIPS (2021)
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson
Markpainting: Adversarial Machine Learning meets Inpainting. CoRR (2021)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. CoRR (2021)
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert D. Mullins, Ross Anderson
Sponge Examples: Energy-Latency Attacks on Neural Networks. EuroS&P (2021)
Robert Hönig, Yiren Zhao, Robert D. Mullins
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. CoRR (2021)
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
Manipulating SGD with Data Ordering Attacks. CoRR (2021)
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert D. Mullins, Ross J. Anderson
Sponge Examples: Energy-Latency Attacks on Neural Networks. CoRR (2020)
Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR (2020)
Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson
Towards Certifiable Adversarial Sample Detection. AISec@CCS (2020)
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. DSN Workshops (2020)
Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson
Towards Certifiable Adversarial Sample Detection. CoRR (2020)
Yiren Zhao, Duo Wang, Daniel Bates, Robert D. Mullins, Mateja Jamnik, Pietro Liò
Learned Low Precision Graph Neural Networks. CoRR (2020)
Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson
Nudge Attacks on Point-Cloud DNNs. CoRR (2020)
Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik
Probabilistic Dual Network Architecture Search on Graphs. CoRR (2020)
Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu
Focused Quantization for Sparse CNNs. NeurIPS (2019)
Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson
To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression. MLSys (2019)
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. CoRR (2019)
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert D. Mullins
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. ISPASS (2019)
Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert D. Mullins, Ross Anderson, Cheng-Zhong Xu
Sitatapatra: Blocking the Transfer of Adversarial Samples. CoRR (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT (2019)
Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu
Efficient and Effective Quantization for Sparse DNNs. CoRR (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. CoRR (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. CoRR (2018)
Yiren Zhao, Xitong Gao, Robert D. Mullins, Chengzhong Xu
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. EMDL@MobiSys (2018)
Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross Anderson
The Taboo Trap: Behavioural Detection of Adversarial Samples. CoRR (2018)
Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. CoRR (2018)
Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification. ARC (2018)
Yiren Zhao, John Wickerson, George A. Constantinides
An efficient implementation of online arithmetic. FPT (2016)