Zhao, Yiren

27 publications

ICLR 2025 Cached Multi-LoRA Composition for Multi-Concept Image Generation Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao

ICML 2025 Hardware and Software Platform Inference Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov

NeurIPS 2025 Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-Context, and Textual Annotation Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Wentao Gu, Guy-Bart Stan, Yiren Zhao, Caihua Shan

ICLR 2025 QERA: An Analytical Framework for Quantization Error Reconstruction Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George Anthony Constantinides, Yiren Zhao

NeurIPS 2024 Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao

NeurIPS 2024 GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning Zehui Li, Vallijah Subasri, Guy-Bart Stan, Yiren Zhao, Bo Wang

ICML 2024 LQER: Low-Rank Quantization Error Reconstruction for LLMs Cheng Zhang, Jianyi Cheng, George Anthony Constantinides, Yiren Zhao

NeurIPSW 2024 MD-DiT: Step-Aware Mixture-of-Depths for Efficient Diffusion Transformers Mingzhu Shen, Pengtao Chen, Peng Ye, Guoxuan Xia, Tao Chen, Christos-Savvas Bouganis, Yiren Zhao

ICMLW 2024 Optimised Grouped-Query Attention Mechanism for Transformers Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George Anthony Constantinides, Yiren Zhao

ICMLW 2024 Unlocking the Global Synergies in Low-Rank Adapters Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George Anthony Constantinides, Yiren Zhao

CVPR 2023 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity Dongping Liao, Xitong Gao, Yiren Zhao, Cheng-Zhong Xu

CVPR 2023 Architectural Backdoors in Neural Networks Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot

ICLRW 2023 Augmentation Backdoors Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert D. Mullins

NeurIPSW 2023 Latent Diffusion Model for DNA Sequence Generation Zehui Li, Yuhao Ni, Tim August B. Huygelen, Akashaditya Das, Guoxuan Xia, Guy-Bart Stan, Yiren Zhao

NeurIPS 2023 MiliPoint: A Point Cloud Dataset for mmWave Radar Han Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao

ACML 2023 Revisiting Structured Dropout Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao

ICLRW 2023 Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Yiren Zhao, Pietro Lio

LoG 2023 Will More Expressive Graph Neural Networks Do Better on Generative Tasks? Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao

NeurIPSW 2022 DARTFormer: Finding the Best Type of Attention Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins

ICML 2022 DAdaQuant: Doubly-Adaptive Quantization for Communication-Efficient Federated Learning Robert Hönig, Yiren Zhao, Robert Mullins

NeurIPS 2022 Rapid Model Architecture Adaption for Meta-Learning Yiren Zhao, Xitong Gao, I Shumailov, Nicolo Fusi, Robert Mullins

NeurIPSW 2022 Wide Attention Is the Way Forward for Transformers? Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins

NeurIPS 2021 Manipulating SGD with Data Ordering Attacks I Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A Erdogdu, Ross J Anderson

ICML 2021 Markpainting: Adversarial Machine Learning Meets Inpainting David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson

ICLR 2020 Pay Attention to Features, Transfer Learn Faster CNNs Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu

ICLR 2019 Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao, Yiren Zhao, Łukasz Dudziak, Robert Mullins, Cheng-zhong Xu

NeurIPS 2019 Focused Quantization for Sparse CNNs Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu