activity
20192023
most citedProportionally Fair Clustering

42 citations · 54 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Reinforced Disentanglement for Face Swapping without Skip Connection

Xiaohang Ren, Xingyu Chen, Pengfei Yao +2

The SOTA face swap models still suffer the problem of either target identity (i.e., shape) being leaked or the target non-identity attributes (i.e., background, hair) failing to be…

math.NA2023

Adaptive trajectories sampling for solving PDEs with deep learning methods

Xingyu Chen, Jianhuan Cen, Qingsong Zou

In this paper, we propose a new adaptive technique, named adaptive trajectories sampling (ATS), which is used to select training points for the numerical solution of partial differ…

cs.RO2022

Closed-form Error Propagation on the SE_n(3) Group for Invariant Extended Kalman Filtering with Applications to VINS

Xinghan Li, Haodong Jiang, Xingyu Chen +2

Pose estimation is important for robotic perception, path planning, etc. Robot poses can be modeled on matrix Lie groups and are usually estimated via filter-based methods. In this…

cs.CL2021★ 1 cited

Word-Free Spoken Language Understanding for Mandarin-Chinese

Zhiyuan Guo, Yuexin Li, Guo Chen +2

Spoken dialogue systems such as Siri and Alexa provide great convenience to people's everyday life. However, current spoken language understanding (SLU) pipelines largely depend on…

cs.LG2020★ 1 cited

S3ML: A Secure Serving System for Machine Learning Inference

Junming Ma, Chaofan Yu, Aihui Zhou +6

We present S3ML, a secure serving system for machine learning inference in this paper. S3ML runs machine learning models in Intel SGX enclaves to protect users' privacy. S3ML desig…

cs.GT2020★ 10 cited

The Fairness of Leximin in Allocation of Indivisible Chores

Xingyu Chen, Zijie Liu

The leximin solution -- which selects an allocation that maximizes the minimum utility, then the second minimum utility, and so forth -- is known to provide EFX (envy-free up to an…

cs.LG2019★ 42 cited

Proportionally Fair Clustering

Xingyu Chen, Brandon Fain, Liang Lyu +1

We extend the fair machine learning literature by considering the problem of proportional centroid clustering in a metric context. For clustering points with centers, we de…