Yiren Zhao

114 papers A* 20A 3B 4C 1Misc 1Journal 69Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents.
CoRR
Hanna Foerster, Robert Mullins, Tom Blanchard, Nicolas Papernot, Kristina Nikolic, Florian Tramèr, Ilia Shumailov, Cheng Zhang, Yiren Zhao
2026 J jnl
Deep Kernel Fusion for Transformers.
CoRR
Zixi Zhang, Zhiwen Mo, Yiren Zhao, Robert Mullins
2026 A conf
ECOTE: Priority-Aware Optical Restoration for WAN Traffic Engineering.
EuroSys
Yiren Zhao, Kunling He, Zhiquan Wang, Ran Shu, Jilong Wang, Congcong Miao
2026 J jnl
Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation.
ACM Trans. Knowl. Discov. Data
Tianrui Qin, Xuan Wang, Xianghuan He, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu, Xitong Gao
2026 J jnl
Heterogeneous Computing: The Key to Powering the Future of AI Agent Inference.
CoRR
Yiren Zhao, Junyi Liu
2026 J jnl
KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware.
CoRR
Jiayi Nie, Haoran Wu, Yao Lai, Zeyu Cao, Cheng Zhang, Binglei Lou, Erwei Wang, Jianyi Cheng, Timothy M. Jones, Robert Mullins, Rika Antonova, Yiren Zhao
2026 J jnl
Q-StaR: A Quasi-Static Routing Scheme for NoCs.
CoRR
Yang Zhang, Yiren Zhao, Xu Wang, Fengyuan Ren
2026 J jnl
Team of Thoughts: Efficient Test-time Scaling of Agentic Systems through Orchestrated Tool Calling.
CoRR
Jeffrey T. H. Wong, Zixi Zhang, Junyi Liu, Yiren Zhao
2025 J jnl
A3 : an Analytical Low-Rank Approximation Framework for Attention.
CoRR
Jeffrey T. H. Wong, Cheng Zhang, Xinye Cao, Pedro Gimenes, George A. Constantinides, Wayne Luk, Yiren Zhao
2025 J jnl
AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks.
CoRR
Pedro Gimenes, Yiren Zhao, George A. Constantinides
2025 J jnl
ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph Environments.
CoRR
Pedro Gimenes, Zeyu Cao, Jeffrey Wong, Yiren Zhao
2025 A* conf
Architectural Neural Backdoors from First Principles.
SP
Harry Langford, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot
2025 A* conf
Cached Multi-Lora Composition for Multi-Concept Image Generation.
ICLR
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
2025 J jnl
Cached Multi-Lora Composition for Multi-Concept Image Generation.
CoRR
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
2025 B conf
Flexnetic: Cost-Effective and Smooth Evolution of Optical Backbone.
ICCCN
Zhiquan Wang, Congcong Miao, Yiren Zhao, Kunling He, Jilong Wang
2025 A* conf
Hardware and Software Platform Inference.
ICML
Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov
2025 Misc conf
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation.
FCCM
Zixi Zhang, Balint Szekely, Pedro Gimenes, Greg Chadwick, Hugo McNally, Jianyi Cheng, Robert Mullins, Yiren Zhao
2025 — conf
Locking Machine Learning Models into Hardware.
SaTML
Eleanor Clifford, Adhithya Saravanan, Harry Langford, Cheng Zhang, Yiren Zhao, Robert Mullins, Ilia Shumailov, Jamie Hayes
2025 — conf
Methodological Considerations of Digital Ethnographic Studies in the AI Music Field.
AIMC
Yiren Zhao, Elin Kanhov, Bob L. T. Sturm
2025 A* conf
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization.
EMNLP
Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao
2025 J jnl
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization.
CoRR
Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao
2025 J jnl
Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning.
CoRR
Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
2025 J jnl
On the Existence and Behaviour of Secondary Attention Sinks.
CoRR
Jeffrey T. H. Wong, Cheng Zhang, Louis Mahon, Wayne Luk, Anton Isopoussu, Yiren Zhao
2025 A* conf
PreTE: Traffic Engineering with Predictive Failures.
SIGCOMM
Congcong Miao, Zhizhen Zhong, Yiren Zhao, Arpit Gupta, Ying Zhang, Sirui Li, Zekun He, Xianneng Zou, Jilong Wang
2025 A* conf
QERA: an Analytical Framework for Quantization Error Reconstruction.
ICLR
Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George Anthony Constantinides, Yiren Zhao
2025 J jnl
Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated.
CoRR
Hanna Foerster, Ilia Shumailov, Yiren Zhao, Harsh Chaudhari, Jamie Hayes, Robert Mullins, Yarin Gal
2025 B conf
Refining Datapath for Microscaling ViTs.
FPL
Can Xiao, Jianyi Cheng, Yiren Zhao
2025 — conf
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models.
ACL (1)
Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi Cheng, Yiren Zhao, Xitong Gao
2025 — conf
SRC: A Scalable Reliable Connection for RDMA with Decoupled QPs and Connections.
APNet
Yiren Zhao, Ran Shu, Yongqiang Xiong
2024 J jnl
AI models collapse when trained on recursively generated data.
Nat.
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson, Yarin Gal
2024 J jnl
Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences.
CoRR
Zehui Li, Yuhao Ni, Guoxuan Xia, William A. V. Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
2024 A* conf
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences.
NeurIPS
Zehui Li, Yuhao Ni, Guoxuan Xia, William A. V. Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
2024 J jnl
Architectural Neural Backdoors from First Principles.
CoRR
Harry Langford, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot
2024 J jnl
DiscDiff: Latent Diffusion Model for DNA Sequence Generation.
CoRR
Zehui Li, Yuhao Ni, William A. V. Beardall, Guoxuan Xia, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
2024 A conf
Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation.
ECAI
Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
2024 J jnl
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation.
CoRR
Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
2024 A* conf
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning.
NeurIPS
Zehui Li, Vallijah Subasri, Guy-Bart Stan, Yiren Zhao, Bo Wang
2024 J jnl
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning.
CoRR
Zehui Li, Vallijah Subasri, Guy-Bart Stan, Yiren Zhao, Bo Wang
2024 B conf
HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator.
FPL
Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao
2024 J jnl
HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator.
CoRR
Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao
2024 J jnl
Hardware and Software Platform Inference.
CoRR
Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov
2024 — conf
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks.
SaTML
Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert Mullins
2024 A* conf
LQER: Low-Rank Quantization Error Reconstruction for LLMs.
ICML
Cheng Zhang, Jianyi Cheng, George Anthony Constantinides, Yiren Zhao
2024 J jnl
LQER: Low-Rank Quantization Error Reconstruction for LLMs.
CoRR
Cheng Zhang, Jianyi Cheng, George A. Constantinides, Yiren Zhao
2024 J jnl
Locking Machine Learning Models into Hardware.
CoRR
Eleanor Clifford, Adhithya Saravanan, Harry Langford, Cheng Zhang, Yiren Zhao, Robert Mullins, Ilia Shumailov, Jamie Hayes
2024 J jnl
Optimised Grouped-Query Attention Mechanism for Transformers.
CoRR
Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
2024 J jnl
QERA: an Analytical Framework for Quantization Error Reconstruction.
CoRR
Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George A. Constantinides, Yiren Zhao
2024 J jnl
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models.
CoRR
Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi Cheng, Yiren Zhao, Xitong Gao
2024 J jnl
Scaling Laws for Mixed quantization in Large Language Models.
CoRR
Zeyu Cao, Cheng Zhang, Pedro Gimenes, Jianqiao Lu, Jianyi Cheng, Yiren Zhao
2024 J jnl
Unlocking the Global Synergies in Low-Rank Adapters.
CoRR
Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
2024 J jnl
Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder.
IEEE Access
Le Yu, Zhiheng Liang, Yaqi Li, Shiwei Zhang, Yiren Zhao, Peter Y. K. Cheung
2024 J jnl
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.
CoRR
Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen
2023 A* conf
Adaptive Channel Sparsity for Federated Learning under System Heterogeneity.
CVPR
Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu
2023 A* conf
Architectural Backdoors in Neural Networks.
CVPR
Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot
2023 — conf
Dynamic Stashing Quantization for Efficient Transformer Training.
EMNLP (Findings)
Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao
2023 J jnl
Dynamic Stashing Quantization for Efficient Transformer Training.
CoRR
Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao
2023 J jnl
Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration.
CoRR
Jianyi Cheng, Cheng Zhang, Zhewen Yu, Alexander Montgomerie-Corcoran, Can Xiao, Christos-Savvas Bouganis, Yiren Zhao
2023 A* conf
FlexWAN: Software Hardware Co-design for Cost-Effective and Resilient Optical Backbones.
SIGCOMM
Congcong Miao, Zhizhen Zhong, Ying Zhang, Kunling He, Fangchao Li, Minggang Chen, Yiren Zhao, Xiang Li, Zekun He, Xianneng Zou, Jilong Wang
2023 J jnl
Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer.
CoRR
Zehui Li, Akashaditya Das, William A. V. Beardall, Yiren Zhao, Guy-Bart Stan
2023 J jnl
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs.
CoRR
Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
2023 J jnl
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation.
CoRR
Zixi Zhang, Greg Chadwick, Hugo McNally, Yiren Zhao, Robert Mullins
2023 J jnl
Latent Diffusion Model for DNA Sequence Generation.
CoRR
Zehui Li, Yuhao Ni, Tim August B. Huygelen, Akashaditya Das, Guoxuan Xia, Guy-Bart Stan, Yiren Zhao
2023 A* conf
MiliPoint: A Point Cloud Dataset for mmWave Radar.
NeurIPS
Han Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao
2023 J jnl
MiliPoint: A Point Cloud Dataset for mmWave Radar.
CoRR
Han Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao
2023 — conf
Revisiting Automated Prompting: Are We Actually Doing Better?
ACL (2)
Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert Mullins, Yarin Gal
2023 J jnl
Revisiting Automated Prompting: Are We Actually Doing Better?
CoRR
Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert Mullins, Yarin Gal
2023 A* conf
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?
EMNLP
Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George A. Constantinides, Yiren Zhao
2023 J jnl
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?
CoRR
Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George A. Constantinides, Yiren Zhao
2023 C conf
Revisiting Structured Dropout.
ACML
Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao
2023 J jnl
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration.
CoRR
Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao
2023 J jnl
The Curse of Recursion: Training on Generated Data Makes Models Forget.
CoRR
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross J. Anderson
2023 — conf
Will More Expressive Graph Neural Networks Do Better on Generative Tasks?
LoG
Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao
2023 J jnl
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
CoRR
Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao
2022 J jnl
Architectural Backdoors in Neural Networks.
CoRR
Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot
2022 J jnl
Augmentation Backdoors.
CoRR
Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert Mullins
2022 J jnl
DARTFormer: Finding The Best Type Of Attention.
CoRR
Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
2022 A* conf
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning.
ICML
Robert Hönig, Yiren Zhao, Robert Mullins
2022 J jnl
Efficient Adversarial Training With Data Pruning.
CoRR
Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert Mullins, Nicolas Papernot
2022 J jnl
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation.
CoRR
Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu
2022 J jnl
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks.
CoRR
Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert Mullins
2022 J jnl
Model Architecture Adaption for Bayesian Neural Networks.
CoRR
Duo Wang, Yiren Zhao, Ilia Shumailov, Robert Mullins
2022 A* conf
Rapid Model Architecture Adaption for Meta-Learning.
NeurIPS
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert Mullins
2022 J jnl
Revisiting Structured Dropout.
CoRR
Yiren Zhao, Oluwatomisin Dada, Xitong Gao, Robert D. Mullins
2022 J jnl
Wide Attention Is The Way Forward For Transformers.
CoRR
Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
2021 J jnl
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning.
CoRR
Robert Hönig, Yiren Zhao, Robert Mullins
2021 A* conf
Manipulating SGD with Data Ordering Attacks.
NeurIPS
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
2021 J jnl
Manipulating SGD with Data Ordering Attacks.
CoRR
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
2021 A* conf
Markpainting: Adversarial Machine Learning meets Inpainting.
ICML
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson
2021 J jnl
Markpainting: Adversarial Machine Learning meets Inpainting.
CoRR
David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson
2021 J jnl
Rapid Model Architecture Adaption for Meta-Learning.
CoRR
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert Mullins
2021 A conf
Sponge Examples: Energy-Latency Attacks on Neural Networks.
EuroS&P
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross Anderson
2020 — conf
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information.
DSN Workshops
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross J. Anderson
2020 J jnl
Learned Low Precision Graph Neural Networks.
CoRR
Yiren Zhao, Duo Wang, Daniel Bates, Robert Mullins, Mateja Jamnik, Pietro Liò
2020 J jnl
Nudge Attacks on Point-Cloud DNNs.
CoRR
Yiren Zhao, Ilia Shumailov, Robert Mullins, Ross J. Anderson
2020 A* conf
Pay Attention to Features, Transfer Learn Faster CNNs.
ICLR
Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu
2020 J jnl
Probabilistic Dual Network Architecture Search on Graphs.
CoRR
Yiren Zhao, Duo Wang, Xitong Gao, Robert Mullins, Pietro Liò, Mateja Jamnik
2020 J jnl
Sponge Examples: Energy-Latency Attacks on Neural Networks.
CoRR
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross J. Anderson
2020 — conf
Towards Certifiable Adversarial Sample Detection.
AISec@CCS
Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross J. Anderson
2020 J jnl
Towards Certifiable Adversarial Sample Detection.
CoRR
Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross J. Anderson
2019 — conf
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs.
FPT
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
2019 J jnl
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs.
CoRR
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
2019 J jnl
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information.
CoRR
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross J. Anderson
2019 B conf
Characterizing Sources of Ineffectual Computations in Deep Learning Networks.
ISPASS
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert Mullins
2019 — conf
Dynamic Channel Pruning: Feature Boosting and Suppression.
ICLR (Poster)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert Mullins, Cheng-Zhong Xu
2019 J jnl
Efficient and Effective Quantization for Sparse DNNs.
CoRR
Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu
2019 A* conf
Focused Quantization for Sparse CNNs.
NeurIPS
Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu
2019 J jnl
Sitatapatra: Blocking the Transfer of Adversarial Samples.
CoRR
Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert Mullins, Ross Anderson, Cheng-Zhong Xu
2019 — conf
To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression.
SysML
Yiren Zhao, Ilia Shumailov, Robert Mullins, Ross Anderson
2018 J jnl
Dynamic Channel Pruning: Feature Boosting and Suppression.
CoRR
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert Mullins, Cheng-Zhong Xu
2018 — conf
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks.
EMDL@MobiSys
Yiren Zhao, Xitong Gao, Robert Mullins, Chengzhong Xu
2018 — conf
Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification.
ARC
Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018 J jnl
The Taboo Trap: Behavioural Detection of Adversarial Samples.
CoRR
Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson
2018 J jnl
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression.
CoRR
Yiren Zhao, Ilia Shumailov, Robert Mullins, Ross Anderson
2016 — conf
An efficient implementation of online arithmetic.
FPT
Yiren Zhao, John Wickerson, George A. Constantinides