Hantian Zhang

Orcid: 0000-0003-2759-5609

According to our database1, Hantian Zhang authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Falcon: Fair Active Learning using Multi-armed Bandits.
Proc. VLDB Endow., January, 2024

2023
iFlipper: Label Flipping for Individual Fairness.
Proc. ACM Manag. Data, 2023

Exploring audience engagement in YouTube vlogs through consumer engagement theory: The case of U.K. beauty vlogger Zoe Sugg.
First Monday, 2023

Discovering Process-Based Drivers for Case-Level Outcome Explanation.
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

LifeRec: A Mobile App for Lifelog Recording and Ubiquitous Recommendation.
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021
FairRover: explorative model building for fair and responsible machine learning.
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
ALEX: An Updatable Adaptive Learned Index.
Proceedings of the 2020 International Conference on Management of Data, 2020

Gamification Elements on Social Live Streaming Service Mobile Applications.
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020

2019
Exploring engagement in vlogs through content, context and presence.
PhD thesis, 2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning.
Proc. VLDB Endow., 2019

ALEX: An Updatable Adaptive Learned Index.
CoRR, 2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report).
CoRR, 2019

2018
MLBench: Benchmarking Machine Learning Services Against Human Experts.
Proc. VLDB Endow., 2018

Evoking presence in vlogging: A case study of U. K. beauty blogger Zoe Sugg.
First Monday, 2018

2017
How Good Are Machine Learning Clouds for Binary Classification with Good Features?
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
ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models.
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


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