Search Results for author: Zeyu Chen

Found 26 papers, 15 papers with code

A Gentle Introduction to Deep Nets and Opportunities for the Future

no code implementations ACL 2022 Kenneth Church, Valia Kordoni, Gary Marcus, Ernest Davis, Yanjun Ma, Zeyu Chen

The first half of this tutorial will make deep nets more accessible to a broader audience, following “Deep Nets for Poets” and “A Gentle Introduction to Fine-Tuning.” We will also introduce GFT (general fine tuning), a little language for fine tuning deep nets with short (one line) programs that are as easy to code as regression in statistics packages such as R using glm (general linear models).

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

no code implementations3 Oct 2023 Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong LI, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou

In this work, we study a novel self-supervised pre-training pipeline, namely Multi-task Self-super-vised Continual Learning (MUSCLE), for multiple medical imaging tasks, such as classification and segmentation, using X-ray images collected from multiple body parts, including heads, lungs, and bones.

Continual Learning Representation Learning +1

Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk sampling

no code implementations11 Jan 2023 Wenting Li, Jiahong Xue, Xi Zhang, Huacan Chen, Zeyu Chen, Yuanzhe Cai

Word embedding has become ubiquitous and is widely used in various text mining and natural language processing (NLP) tasks, such as information retrieval, semantic analysis, and machine translation, among many others.

Information Retrieval Machine Translation +1

ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech

2 code implementations7 Nov 2022 Xiaoran Fan, Chao Pang, Tian Yuan, He Bai, Renjie Zheng, Pengfei Zhu, Shuohuan Wang, Junkun Chen, Zeyu Chen, Liang Huang, Yu Sun, Hua Wu

In this paper, we extend the pretraining method for cross-lingual multi-speaker speech synthesis tasks, including cross-lingual multi-speaker voice cloning and cross-lingual multi-speaker speech editing.

Representation Learning Speech Synthesis +2

EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle

1 code implementation17 Oct 2022 Yuying Hao, Yi Liu, Yizhou Chen, Lin Han, Juncai Peng, Shiyu Tang, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai

In recent years, the rapid development of deep learning has brought great advancements to image and video segmentation methods based on neural networks.

Image Segmentation Interactive Segmentation +4

U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction

3 code implementations13 Oct 2022 Jian Wang, Xiang Long, Guowei Chen, Zewu Wu, Zeyu Chen, Errui Ding

Therefore, we designed a U-shaped High-Resolution Network (U-HRNet), which adds more stages after the feature map with strongest semantic representation and relaxes the constraint in HRNet that all resolutions need to be calculated parallel for a newly added stage.

Depth Estimation Depth Prediction +1

Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models

2 code implementations4 Jul 2022 Xuhong LI, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou

Though image classification datasets could provide the backbone networks with rich visual features and discriminative ability, they are incapable of fully pre-training the target model (i. e., backbone+segmentation modules) in an end-to-end manner.

Classification Image Classification +3

Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning

1 code implementation13 May 2022 Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, dianhai yu

Notably, it averagely brings about 10% relative improvement to triplet-based embedding methods on OGBL-WikiKG2 and takes 5%-83% time to achieve comparable results as the state-of-the-art GC-OTE.

Knowledge Graphs Representation Learning

PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset

1 code implementation14 Dec 2021 Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong

This work is the first to construct a large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K fine-labeled frames and extensions to multi-camera teleconferencing.

Portrait Segmentation Segmentation +1

NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC

no code implementations5 Jul 2021 Weiyue Su, Zeyang Fang, Hui Zhong, Huijuan Wang, Siming Dai, Zhengjie Huang, Yunsheng Shi, Shikun Feng, Zeyu Chen

In addition to the representations, we also use various statistical probabilities among the head entities, the relations and the tail entities for the final prediction.

Feature Engineering Question Answering +2

Machine vision detection to daily facial fatigue with a nonlocal 3D attention network

no code implementations21 Apr 2021 Zeyu Chen, Xinhang Zhang, Juan Li, Jingxuan Ni, Gang Chen, Shaohua Wang, Fangfang Fan, Changfeng Charles Wang, Xiaotao Li

Our experimental results in multiple metrics proved that our framework captured some typical, micro and dynamic facial features along spatiotemporal dimensions, contributing to the mild fatigue detection in the wild.

Binary Classification

PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

1 code implementation15 Jan 2021 Yi Liu, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai, Yuying Hao

The toolkit aims to help both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models.

Autonomous Driving Human Part Segmentation +5

Parameter-Free Style Projection for Arbitrary Style Transfer

1 code implementation17 Mar 2020 Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

This paper further presents a real-time feed-forward model to leverage Style Projection for arbitrary image style transfer, which includes a regularization term for matching the semantics between input contents and stylized outputs.

Style Transfer

SecureGBM: Secure Multi-Party Gradient Boosting

no code implementations27 Nov 2019 Zhi Fengy, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Li-Ping Liu, Jun Huan

Our experiments using the real-world data showed that SecureGBM can well secure the communication and computation of LightGBM training and inference procedures for the both parties while only losing less than 3% AUC, using the same number of iterations for gradient boosting, on a wide range of benchmark datasets.

Occluded Person Re-identification

no code implementations9 Apr 2018 Jiaxuan Zhuo, Zeyu Chen, Jian-Huang Lai, Guangcong Wang

Person re-identification (re-id) suffers from a serious occlusion problem when applied to crowded public places.

Person Re-Identification

Object Detection Free Instance Segmentation With Labeling Transformations

no code implementations28 Nov 2016 Long Jin, Zeyu Chen, Zhuowen Tu

Instance segmentation has attracted recent attention in computer vision and existing methods in this domain mostly have an object detection stage.

Instance Segmentation object-detection +3

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