( en | de | ru )

 

Disambiguation of "Yu, Zhongzhi"

Author of the publication

copydeleteadd this publication to your clipboard
Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds.

, , , , , , and . VEE, page 157-170. ACM, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yu-Ting Yu

Yu-Yu Su

Sze-Man Yu

Metal complexes with enolatoimine ligands for controlled olefin polymerizations. Uni Konstanz, (2009)

Hangxing Yu

Na Yu

 

Other publications of authors with the same name

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search., , , and . CoRR, (2020)O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed., , , , and . ICCAD, page 1-9. IEEE, (2021)EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design., , , , , , , , , and 4 other author(s). IEEE Micro, 43 (4): 88-97 (July 2023)Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks., , , and . CoRR, (2024)InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks., , , , , , , , and . DAC, page 757-762. IEEE, (2021)ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , , , , , and . HPCA, page 273-286. IEEE, (2023)HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark., , , , , , , , and . CoRR, (2021)Exploiting Partially Annotated Data in Temporal Relation Extraction., , , and . *SEM@NAACL-HLT, page 148-153. Association for Computational Linguistics, (2018)Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing., , , , , , and . NeurIPS, (2022)NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants., , , , and . DAC, page 1-6. IEEE, (2023)