Lyapunov-based Low-thrust Optimal Orbit Transfer: An approach in Cartesian coordinates. - Hantian Zhang; Dong Eui Chang; Qingjie Cao (CoRR, 2013)

Non-smooth Approach for Contact Dynamics and Impulse-based Control of Frictional Furuta Pendulum. - Hantian Zhang (CoRR, 2014)

ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models. - Hantian Zhang; Kaan Kara; Jerry Li 001; Dan Alistarh; Ji Liu 002; Ce Zhang 001 (CoRR, 2016)

How good are machine learning clouds for binary classification with good features?: extended abstract. - Hantian Zhang; Luyuan Zeng; Wentao Wu 001; Ce Zhang 001 (SoCC, 2017)

Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms. - Muhsen Owaida; Hantian Zhang; Ce Zhang 001; Gustavo Alonso (FPL, 2017)

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning. - Hantian Zhang; Jerry Li 001; Kaan Kara; Dan Alistarh; Ji Liu 002; Ce Zhang 001 (ICML, 2017)

Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit. - Kevin Schawinski; Ce Zhang 001; Hantian Zhang; Lucas Fowler; Gokula Krishnan Santhanam (CoRR, 2017)

How Good Are Machine Learning Clouds for Binary Classification with Good Features? - Hantian Zhang; Luyuan Zeng; Wentao Wu 001; Ce Zhang 001 (CoRR, 2017)

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

MLBench: Benchmarking Machine Learning Services Against Human Experts. - Yu Liu 075; Hantian Zhang; Luyuan Zeng; Wentao Wu 001; Ce Zhang 001 (Proc. VLDB Endow., 2018)

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report). - Zeke Wang; Kaan Kara; Hantian Zhang; Gustavo Alonso; Onur Mutlu; Ce Zhang 001 (CoRR, 2019)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Hantian Zhang; Yinan Li; Chi Wang 001; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet (CoRR, 2019)

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning. - Zeke Wang; Kaan Kara; Hantian Zhang; Gustavo Alonso; Ce Zhang 001; Onur Mutlu (Proc. VLDB Endow., 2019)

Exploring engagement in vlogs through content, context and presence. - Hantian Zhang (2019)

Gamification Elements on Social Live Streaming Service Mobile Applications. - Franziska Zimmer; Katrin Scheibe; Hantian Zhang (HCI (14), 2020)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Jia Yu 001; Chi Wang 001; Jaeyoung Do; Yinan Li; Hantian Zhang; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet; Tim Kraska (SIGMOD Conference, 2020)

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. - Hantian Zhang; Xu Chu 002; Abolfazl Asudeh; Shamkant B. Navathe (SIGMOD Conference, 2021)

FairRover: explorative model building for fair and responsible machine learning. - Hantian Zhang; Nima Shahbazi; Xu Chu 002; Abolfazl Asudeh (DEEM@SIGMOD, 2021)

LifeRec: A Mobile App for Lifelog Recording and Ubiquitous Recommendation. - Jiayu Li 001; Hantian Zhang; Zhiyu He; Rongwu Xu; Pingfei Wu; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (CHIIR, 2022)

Behind the Scenes: Exploring Context and Audience Engagement Behaviors in YouTube Vlogs. - Hantian Zhang (HCI (14), 2022)

Multi-platform Distribution of Video Content: An Analysis of Video Content Cross-Posted by YouTubers on Bilibili. - Hantian Zhang; Katrin Scheibe (HCI (46), 2023)

Discovering Process-Based Drivers for Case-Level Outcome Explanation. - Peng Li 062; Hantian Zhang; Xu Chu 002; Alexander Seeliger; Cong Yu 001 (ICPM Workshops, 2023)

Exploring audience engagement in YouTube vlogs through consumer engagement theory: The case of U.K. beauty vlogger Zoe Sugg. - Hantian Zhang; John Lee 004 (First Monday, 2023)

iFlipper: Label Flipping for Individual Fairness. - Hantian Zhang; Ki Hyun Tae; Jaeyoung Park 003; Xu Chu 002; Steven Euijong Whang (Proc. ACM Manag. Data, 2023)

Data-Centric Bias Mitigation in Machine Learning Life Cycle. - Hantian Zhang (2024)

Falcon: Fair Active Learning using Multi-armed Bandits. - Ki Hyun Tae; Hantian Zhang; Jaeyoung Park 003; Kexin Rong 001; Steven Euijong Whang (Proc. VLDB Endow., 2024)

BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network. - Liang Ma; Yu Zhang 115; Hantian Zhang; Luqi Cheng; Zhengyi Yang 002; Yuheng Lu; Weiyang Shi; Wen Li; Junjie Zhuo; Jiaojian Wang; Lingzhong Fan; Tianzi Jiang (IEEE Trans. Neural Networks Learn. Syst., 2024)