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Hantian Zhang
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2020 – today
- 2024
- [j7]Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang:
Falcon: Fair Active Learning using Multi-armed Bandits. Proc. VLDB Endow. 17(5): 952-965 (2024) - [j6]Liang Ma
, Yu Zhang
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7446-7457 (2024) - [i10]Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang:
Falcon: Fair Active Learning using Multi-armed Bandits. CoRR abs/2401.12722 (2024) - 2023
- [j5]Hantian Zhang, John Lee
Exploring audience engagement in YouTube vlogs through consumer engagement theory: The case of U.K. beauty vlogger Zoe Sugg. First Monday 28(4) (2023) - [j4]Hantian Zhang
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1(1): 8:1-8:26 (2023) - [c11]Hantian Zhang
Multi-platform Distribution of Video Content: An Analysis of Video Content Cross-Posted by YouTubers on Bilibili. HCI (46) 2023: 149-156 - [c10]Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu:
Discovering Process-Based Drivers for Case-Level Outcome Explanation. ICPM Workshops 2023: 165-178 - 2022
- [c9]Jiayu Li, Hantian Zhang, Zhiyu He, Rongwu Xu, Pingfei Wu, Min Zhang, Yiqun Liu, Shaoping Ma:
LifeRec: A Mobile App for Lifelog Recording and Ubiquitous Recommendation. CHIIR 2022: 342-346 - [c8]Hantian Zhang
Behind the Scenes: Exploring Context and Audience Engagement Behaviors in YouTube Vlogs. HCI (14) 2022: 227-244 - [i9]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. CoRR abs/2209.07047 (2022) - 2021
- [c7]Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh:
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD 2021: 5:1-5:10 - [c6]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference 2021: 2076-2088 - [i8]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR abs/2103.09055 (2021) - 2020
- [c5]Franziska Zimmer
Gamification Elements on Social Live Streaming Service Mobile Applications. HCI (14) 2020: 184-197 - [c4]Jialin Ding, Umar Farooq Minhas, Jia Yu
ALEX: An Updatable Adaptive Learned Index. SIGMOD Conference 2020: 969-984
2010 – 2019
- 2019
- [b1]Hantian Zhang:
Exploring engagement in vlogs through content, context and presence. University of Edinburgh, UK, 2019 - [j3]Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Ce Zhang, Onur Mutlu:
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning. Proc. VLDB Endow. 12(7): 807-821 (2019) - [i7]Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang:
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report). CoRR abs/1903.03404 (2019) - [i6]Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet:
ALEX: An Updatable Adaptive Learned Index. CoRR abs/1905.08898 (2019) - 2018
- [j2]Hantian Zhang
Evoking presence in vlogging: A case study of U. K. beauty blogger Zoe Sugg. First Monday 23(1) (2018) - [j1]Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang:
MLBench: Benchmarking Machine Learning Services Against Human Experts. Proc. VLDB Endow. 11(10): 1220-1232 (2018) - 2017
- [c3]Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang:
How good are machine learning clouds for binary classification with good features?: extended abstract. SoCC 2017: 649 - [c2]Muhsen Owaida, Hantian Zhang, Ce Zhang, Gustavo Alonso:
Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms. FPL 2017: 1-8 - [c1]Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang:
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning. ICML 2017: 4035-4043 - [i5]Kevin Schawinski, Ce Zhang, Hantian Zhang, Lucas Fowler, Gokula Krishnan Santhanam:
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit. CoRR abs/1702.00403 (2017) - [i4]Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang:
How Good Are Machine Learning Clouds for Binary Classification with Good Features? CoRR abs/1707.09562 (2017) - 2016
- [i3]Hantian Zhang, Kaan Kara, Jerry Li, Dan Alistarh, Ji Liu, Ce Zhang:
ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models. CoRR abs/1611.05402 (2016) - 2014
- [i2]Hantian Zhang:
Non-smooth Approach for Contact Dynamics and Impulse-based Control of Frictional Furuta Pendulum. CoRR abs/1412.2417 (2014) - 2013
- [i1]Hantian Zhang, Dong Eui Chang, Qingjie Cao:
Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates. CoRR abs/1310.4201 (2013)
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last updated on 2024-08-14 23:17 CEST by the dblp team
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