Search Results for author: Shuyi Chen

Found 6 papers, 0 papers with code

Counterfactual Fairness through Transforming Data Orthogonal to Bias

no code implementations26 Mar 2024 Shuyi Chen, Shixiang Zhu

We introduce a novel data pre-processing algorithm, Orthogonal to Bias (OB), designed to remove the influence of a group of continuous sensitive variables, thereby facilitating counterfactual fairness in machine learning applications.

counterfactual Decision Making +1

RIS-Based On-the-Air Semantic Communications -- a Diffractional Deep Neural Network Approach

no code implementations1 Dec 2023 Shuyi Chen, Yingzhe Hui, Yifan Qin, Yueyi Yuan, Weixiao Meng, Xuewen Luo, Hsiao-Hwa Chen

Semantic communication has gained significant attention recently due to its advantages in achieving higher transmission efficiency by focusing on semantic information instead of bit-level information.

API-Assisted Code Generation for Question Answering on Varied Table Structures

no code implementations23 Oct 2023 Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried

A persistent challenge to table question answering (TableQA) by generating executable programs has been adapting to varied table structures, typically requiring domain-specific logical forms.

Code Generation Question Answering

Uncertainty-Aware Robust Learning on Noisy Graphs

no code implementations14 Jun 2023 Shuyi Chen, Kaize Ding, Shixiang Zhu

Graph neural networks have shown impressive capabilities in solving various graph learning tasks, particularly excelling in node classification.

Graph Learning Node Classification

Approach to Learning Generalized Audio Representation Through Batch Embedding Covariance Regularization and Constant-Q Transforms

no code implementations7 Mar 2023 Ankit Shah, Shuyi Chen, Kejun Zhou, Yue Chen, Bhiksha Raj

Preliminary results show (1) the proposed BECR can incur a more dispersed embedding on the test set, (2) BECR improves the PaSST model without extra computation complexity, and (3) STFT preprocessing outperforms CQT in all tasks we tested.

Zero-Shot Learning

Non-intrusive Load Monitoring based on Self-supervised Learning

no code implementations9 Oct 2022 Shuyi Chen, Bochao Zhao, Mingjun Zhong, Wenpeng Luan, Yixin Yu

Based on the NILM results in various cases, SSL generally outperforms zero-shot learning in improving load disaggregation performance without any sub-metering data from the target data sets.

Non-Intrusive Load Monitoring Self-Supervised Learning +1

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