Hantian Zhang
Orcid: 0000-0003-2759-5609
According to our database1,
Hantian Zhang
authored at least 26 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Proc. VLDB Endow., January, 2024
2023
Exploring audience engagement in YouTube vlogs through consumer engagement theory: The case of U.K. beauty vlogger Zoe Sugg.
First Monday, 2023
Proceedings of the Process Mining Workshops, 2023
Multi-platform Distribution of Video Content: An Analysis of Video Content Cross-Posted by YouTubers on Bilibili.
Proceedings of the HCI International 2023 Posters, 2023
2022
Behind the Scenes: Exploring Context and Audience Engagement Behaviors in YouTube Vlogs.
Proceedings of the Social Computing and Social Media: Design, User Experience and Impact, 2022
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022
2021
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020
2019
PhD thesis, 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning.
Proc. VLDB Endow., 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report).
CoRR, 2019
2018
Proc. VLDB Endow., 2018
First Monday, 2018
2017
CoRR, 2017
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit.
CoRR, 2017
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017
Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms.
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017
How good are machine learning clouds for binary classification with good features?: extended abstract.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
2016
CoRR, 2016
2014
Non-smooth Approach for Contact Dynamics and Impulse-based Control of Frictional Furuta Pendulum.
CoRR, 2014
2013
Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates.
CoRR, 2013