Search Results for author: Junjie Chen

Found 22 papers, 9 papers with code

APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model

no code implementations EMNLP 2021 Yuning Kang, Zan Wang, Hongyu Zhang, Junjie Chen, Hanmo You

APIRecX can migrate the knowledge of existing libraries to a new library, and can recommend APIs that are previously regarded as OOV.

Language Modelling

Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models

1 code implementation ACL 2022 Junjie Chen, Xiangheng He, Yusuke Miyao

In this paper, we propose a mixture model-based end-to-end method to model the syntactic-semantic dependency correlation in Semantic Role Labeling (SRL).

Semantic Role Labeling

A Large-scale Empirical Study on Improving the Fairness of Deep Learning Models

1 code implementation8 Jan 2024 Junjie Yang, Jiajun Jiang, Zeyu Sun, Junjie Chen

Specifically, we target the widely-used application scenario of image classification, and utilized three different datasets and five commonly-used performance metrics to assess in total 13 methods from diverse categories.

Fairness Image Classification

Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation

no code implementations22 Sep 2023 Ping Li, Junjie Chen, Li Yuan, Xianghua Xu, Mingli Song

To alleviate the expensive human labeling, semi-supervised semantic segmentation employs a few labeled images and an abundant of unlabeled images to predict the pixel-level label map with the same size.

Feature Importance Knowledge Distillation +1

How to Evaluate Semantic Communications for Images with ViTScore Metric?

no code implementations9 Sep 2023 Tingting Zhu, Bo Peng, Jifan Liang, Tingchen Han, Hai Wan, Jingqiao Fu, Junjie Chen

Experimental results demonstrate that ViTScore can better evaluate the image semantic similarity than the other 3 typical metrics, which indicates that ViTScore is an effective performance metric when deployed in SC scenarios.

MS-SSIM Semantic Similarity +2

Bias Testing and Mitigation in LLM-based Code Generation

no code implementations3 Sep 2023 Dong Huang, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui

To mitigate bias for code generation models, we evaluate five bias mitigation prompt strategies, i. e., utilizing bias testing results to refine the code (zero-shot), one-, few-shot, and two Chain-of-Thought (CoT) prompts.

Code Generation Fairness +1

Scene-aware Human Pose Generation using Transformer

no code implementations4 Aug 2023 Jieteng Yao, Junjie Chen, Li Niu, Bin Sheng

Affordance learning considers the interaction opportunities for an actor in the scene and thus has wide application in scene understanding and intelligent robotics.

Knowledge Distillation Scene Understanding

Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems

1 code implementation5 May 2023 Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei

Such attribute combinations are substantial clues to the underlying root causes and thus are called root causes of multidimensional data.


iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models

1 code implementation3 Dec 2022 Jiahao Li, Zhourun Wu, Wenhao Lin, Jiawei Luo, Jun Zhang, Qingcai Chen, Junjie Chen

Although many feature extraction methods have been proposed to improve the performance of enhancer identification, they cannot learn position-related multiscale contextual information from raw DNA sequences.

Language Modelling Position

Weak-shot Semantic Segmentation via Dual Similarity Transfer

1 code implementation5 Oct 2022 Junjie Chen, Li Niu, Siyuan Zhou, Jianlou Si, Chen Qian, Liqing Zhang

Proposal segmentation allows proposal-pixel similarity transfer from base classes to novel classes, which enables the mask learning of novel classes.

Segmentation Semantic Segmentation +2

Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity

1 code implementation NeurIPS 2021 Yan Liu, Zhijie Zhang, Li Niu, Junjie Chen, Liqing Zhang

Specifically, the ability of using mask prior to help detect objects is learned from base categories and transferred to novel categories.

Object object-detection +3

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

no code implementations15 Oct 2021 Ying Wang, Tingfa Xu, Jianan Li, Shenwang Jiang, Junjie Chen

Through experiments we find that, without regression, the performance could be equally promising as long as we delicately design the network to suit the training objective.

regression Visual Object Tracking

An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation

1 code implementation18 Jul 2021 Xiangheng He, Junjie Chen, Georgios Rizos, Björn W. Schuller

Emotional Voice Conversion (EVC) aims to convert the emotional style of a source speech signal to a target style while preserving its content and speaker identity information.

Data Augmentation Generative Adversarial Network +2

On the Evaluation of Neural Code Summarization

1 code implementation15 Jul 2021 Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun

To achieve a profound understanding of how far we are from solving this problem and provide suggestions to future research, in this paper, we conduct a systematic and in-depth analysis of 5 state-of-the-art neural code summarization models on 6 widely used BLEU variants, 4 pre-processing operations and their combinations, and 3 widely used datasets.

Code Summarization Source Code Summarization

Weak-shot Fine-grained Classification via Similarity Transfer

1 code implementation NeurIPS 2021 Junjie Chen, Li Niu, Liu Liu, Liqing Zhang

In this setting, we propose a method called SimTrans to transfer pairwise semantic similarity from base categories to novel categories.

Classification General Classification +2

Detection of Information Hiding at Anti-Copying 2D Barcodes

no code implementations20 Mar 2020 Ning Xie, Ji Hu, Junjie Chen, Qiqi Zhang, Changsheng chen

Our experimental results show that the PVBD scheme can correctly detect the existence of the hidden information at both the 2LQR code and the LCAC 2D barcode.

Learning from Web Data with Self-Organizing Memory Module

no code implementations CVPR 2020 Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang

However, crawled web images usually have two types of noises, label noise and background noise, which induce extra difficulties in utilizing them effectively.

Image Classification

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