Giulio Zhou

According to our database, Giulio Zhou authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semantics and Sentiment: Cross-lingual Variations in Emoji Use.

Giulio Zhou, Sydelle De Souza, Ella Markham, Oghenetekevwe Kwakpovwe, Sumin Zhao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases.

Giulio Zhou, Tsz Kin Lam, Alexandra Birch, Barry Haddow

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits.

Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Hierarchical Recurrent Aggregative Generation for Few-Shot NLG.

Giulio Zhou, Gerasimos Lampouras, Ignacio Iacobacci

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Learning on Distributed Traces for Data Center Storage Systems.

Giulio Zhou, Martin Maas

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Informed Sampling for Diversity in Concept-to-Text NLG.

Giulio Zhou, Gerasimos Lampouras

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multi-Vector Attention Models for Deep Re-ranking.

Giulio Zhou, Jacob Devlin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation.

Giulio Zhou, Gerasimos Lampouras

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Generating Safe Diversity in NLG via Imitation Learning.

Giulio Zhou, Gerasimos Lampouras

CoRR, 2020

2019

Accelerating Deep Learning by Focusing on the Biggest Losers.

Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminsky, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai

CoRR, 2019

Scaling Video Analytics on Constrained Edge Nodes.

Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya Dulloor

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

2018

EDF: Ensemble, Distill, and Fuse for Easy Video Labeling.

Giulio Zhou, Subramanya Dulloor, David G. Andersen, Michael Kaminsky

CoRR, 2018

2017

Clipper: A Low-Latency Online Prediction Serving System.

Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017