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20222026
most citedSelf-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

10 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2026

Program-Synthesis-Driven Autodesign of Universal Unitary Operators

Yifei Zhang, Dong Chen, Fan Wang +6

We demonstrate that AI-driven program synthesis can autonomously discover fundamental strategies for decomposing unitary matrices in photonic networks. By extending DreamCoder to c…

cs.SE2025★ 1 cited

EvoC2Rust: A Skeleton-guided Framework for Project-Level C-to-Rust Translation

Chaofan Wang, Tingrui Yu, Beijun Shen +6

Translating legacy C codebases to Rust is increasingly demanded for building safety-critical systems. While various approaches have emerged for this task, they face inherent trade-…

cs.SE2024

A Lightweight Framework for Adaptive Retrieval In Code Completion With Critique Model

Wenrui Zhang, Tiehang Fu, Ting Yuan +3

Recent advancements in Retrieval-Augmented Generation have significantly enhanced code completion at the repository level. Various RAG-based code completion systems are proposed ba…

cs.LG2022★ 10 cited

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

Wenrui Zhang, Ling Yang, Shijia Geng +1

Unsupervised/self-supervised representation learning in time series is critical since labeled samples are usually scarce in real-world scenarios. Existing approaches mainly leverag…

eess.SP2022★ 4 cited

A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings

Wenrui Zhang, Xinxin Di, Guodong Wei +3

With the development of deep learning-based methods, automated classification of electrocardiograms (ECGs) has recently gained much attention. Although the effectiveness of deep ne…

cs.LG2022★ 4 cited

A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection

Wenrui Zhang, Shijia Geng, Shenda Hong

Learning representations from electrocardiogram (ECG) signals can serve as a fundamental step for different machine learning-based ECG tasks. In order to extract general ECG repres…