Yiren Zhao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
17
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Deep Kernel Fusion for Transformers. | Zixi Zhang, Zhiwen Mo, Yiren Zhao, Robert D. Mullins |
| 2026 | EuroSys | ECOTE: Priority-Aware Optical Restoration for WAN Traffic Engineering. | Yiren Zhao, Kunling He, Zhiquan Wang, Ran Shu, Jilong Wang, Congcong Miao |
| 2026 | SIGCOMM | Nwa: A Generative Control Plane for AI Network Simulation. | Wenkai Li, Ran Shu, Peng Zhang, Yiren Zhao, Danfeng Shan, Yongqiang Xiong |
| 2025 | ACL | Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models. | Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi Cheng, Yiren Zhao, Xitong Gao |
| 2025 | EMNLP | Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. | Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao |
| 2025 | FCCM | LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation. | Zixi Zhang, Balint Szekely, Pedro Gimenes, Greg Chadwick, Hugo McNally, Jianyi Cheng, Robert Mullins, Yiren Zhao |
| 2025 | FPL | Refining Datapath for Microscaling ViTs. | Can Xiao, Jianyi Cheng, Yiren Zhao |
| 2025 | ICCCN | Flexnetic: Cost-Effective and Smooth Evolution of Optical Backbone. | Zhiquan Wang, Congcong Miao, Yiren Zhao, Kunling He, Jilong Wang |
| 2025 | ICLR | QERA: an Analytical Framework for Quantization Error Reconstruction. | Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George Anthony Constantinides, Yiren Zhao |
| 2025 | ICLR | Cached Multi-Lora Composition for Multi-Concept Image Generation. | Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao |
| 2025 | ICML | Hardware and Software Platform Inference. | Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov |
| 2025 | SIGCOMM | PreTE: Traffic Engineering with Predictive Failures. | Congcong Miao, Zhizhen Zhong, Yiren Zhao, Arpit Gupta, Ying Zhang, Sirui Li, Zekun He, Xianneng Zou, Jilong Wang |
| 2025 | SP | Architectural Neural Backdoors from First Principles. | Harry Langford, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot |
| 2024 | ECAI | Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. | Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Li, Yiren Zhao |
| 2024 | FPL | HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. | Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao |
| 2024 | ICML | LQER: Low-Rank Quantization Error Reconstruction for LLMs. | Cheng Zhang, Jianyi Cheng, George Anthony Constantinides, Yiren Zhao |
| 2023 | ACL | Revisiting Automated Prompting: Are We Actually Doing Better? | Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert Mullins, Yarin Gal |
| 2023 | ACML | Revisiting Structured Dropout. | Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao |
| 2023 | CVPR | Architectural Backdoors in Neural Networks. | Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot |
| 2023 | CVPR | Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. | Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu |
| 2023 | EMNLP | Dynamic Stashing Quantization for Efficient Transformer Training. | Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao |
| 2023 | EMNLP | Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? | Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George A. Constantinides, Yiren Zhao |
| 2023 | SIGCOMM | FlexWAN: Software Hardware Co-design for Cost-Effective and Resilient Optical Backbones. | Congcong Miao, Zhizhen Zhong, Ying Zhang, Kunling He, Fangchao Li, Minggang Chen, Yiren Zhao, Xiang Li, Zekun He, Xianneng Zou, Jilong Wang |
| 2022 | ICML | DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. | Robert Hnig, Yiren Zhao, Robert Mullins |
| 2021 | ICML | Markpainting: Adversarial Machine Learning meets Inpainting. | David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson |
| 2020 | CCS | Towards Certifiable Adversarial Sample Detection. | Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross J. Anderson |
| 2020 | DSN | Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. | Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross J. Anderson |
| 2020 | ICLR | Pay Attention to Features, Transfer Learn Faster CNNs. | Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu |
| 2019 | ICLR | Dynamic Channel Pruning: Feature Boosting and Suppression. | Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert Mullins, Cheng-Zhong Xu |
| 2019 | ISPASS | Characterizing Sources of Ineffectual Computations in Deep Learning Networks. | Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert Mullins |
| 2018 | Mobisys | Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. | Yiren Zhao, Xitong Gao, Robert Mullins, Chengzhong Xu |