activity
20192024
most citedNeural Program Repair with Program Dependence Analysis and Effective Filter Mechanism

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2024

Non-stationary BERT: Exploring Augmented IMU Data For Robust Human Activity Recognition

Ning Sun, Yufei Wang, Yuwei Zhang +4

Human Activity Recognition (HAR) has gained great attention from researchers due to the popularity of mobile devices and the need to observe users' daily activity data for better h…

cs.CL2024

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders

Yuwei Zhang, Siffi Singh, Sailik Sengupta +4

Conversational systems often rely on embedding models for intent classification and intent clustering tasks. The advent of Large Language Models (LLMs), which enable instructional…

cs.CL2024

Answer is All You Need: Instruction-following Text Embedding via Answering the Question

Letian Peng, Yuwei Zhang, Zilong Wang +4

This work aims to build a text embedder that can capture characteristics of texts specified by user instructions. Despite its tremendous potential to deploy user-oriented embedding…

cs.SE20233 cited

Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism

Yuwei Zhang, Ge Li, Zhi Jin +1

Automated program repair is a crucial task for improving the efficiency of software developers. Recently, neural-based techniques have demonstrated significant promise in generatin…

cs.CV2023

Toward Unsupervised Realistic Visual Question Answering

Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

The problem of realistic VQA (RVQA), where a model has to reject unanswerable questions (UQs) and answer answerable ones (AQs), is studied. We first point out 2 drawbacks in curren…

cs.LG20191 cited

Predict Future Sales using Ensembled Random Forests

Yuwei Zhang, Xin Wu, Chenyang Gu +1

This is a method report for the Kaggle data competition 'Predict future sales'. In this paper, we propose a rather simple approach to future sales predicting based on feature engin…