Giulio Zhou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Video Analytics

Top Venues

Publications

Giulio Zhou, Tsz Kin Lam, Alexandra Birch, Barry Haddow
Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases. EACL (Findings) (2024)
Giulio Zhou, Tsz Kin Lam, Alexandra Birch, Barry Haddow
Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases. CoRR (2024)
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. CHI (2023)
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. CoRR (2023)
Giulio Zhou, Gerasimos Lampouras, Ignacio Iacobacci
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG. ACL (Findings) (2022)
Giulio Zhou, Gerasimos Lampouras
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation. CoRR (2021)
Giulio Zhou, Gerasimos Lampouras
Informed Sampling for Diversity in Concept-to-Text NLG. EMNLP (Findings) (2021)
Giulio Zhou, Gerasimos Lampouras
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation. ACL/IJCNLP (1) (2021)
Giulio Zhou, Jacob Devlin
Multi-Vector Attention Models for Deep Re-ranking. EMNLP (1) (2021)
Giulio Zhou, Martin Maas
Learning on Distributed Traces for Data Center Storage Systems. MLSys (2021)
Giulio Zhou, Gerasimos Lampouras
Generating Safe Diversity in NLG via Imitation Learning. CoRR (2020)
Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya R. Dulloor
Scaling Video Analytics on Constrained Edge Nodes. CoRR (2019)
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
Accelerating Deep Learning by Focusing on the Biggest Losers. CoRR (2019)
Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya Dulloor
Scaling Video Analytics on Constrained Edge Nodes. MLSys (2019)
Giulio Zhou, Subramanya Dulloor, David G. Andersen, Michael Kaminsky
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling. CoRR (2018)
Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
Clipper: A Low-Latency Online Prediction Serving System. NSDI (2017)
Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
Clipper: A Low-Latency Online Prediction Serving System. CoRR (2016)