Search Results for author: Yujie Wang

Found 30 papers, 8 papers with code

Immersion and Invariance-based Disturbance Observer and Its Application to Safe Control

no code implementations13 Sep 2023 Yujie Wang, Xiangru Xu

When the disturbance input matrix is nonlinear, existing disturbance observer design methods rely on the solvability of a partial differential equation or the existence of an output function with a uniformly well-defined disturbance relative degree, which can pose significant limitations.

Revisiting Prompt Engineering via Declarative Crowdsourcing

no code implementations7 Aug 2023 Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman jain, Yujie Wang

Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone.

Entity Resolution Imputation +1

Improving Automatic Parallel Training via Balanced Memory Workload Optimization

no code implementations5 Jul 2023 Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui

Transformer models have emerged as the leading approach for achieving state-of-the-art performance across various application domains, serving as the foundation for advanced large-scale deep learning (DL) models.


Adaptive Safety-Critical Control for a Class of Nonlinear Systems with Parametric Uncertainties: A Control Barrier Function Approach

no code implementations16 Feb 2023 Yujie Wang, Xiangru Xu

This paper presents a novel approach for the safe control design of systems with parametric uncertainties in both drift terms and control-input matrices.

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

3 code implementations25 Nov 2022 Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui

Transformer models have achieved state-of-the-art performance on various domains of applications and gradually becomes the foundations of the advanced large deep learning (DL) models.

DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection

1 code implementation12 Jul 2022 Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang

Specifically, we propose the Inverse NMS Clustering (INC) and Rank Matching (RM) to instantiate the dense supervision, without the widely used, conventional sparse pseudo labels.

object-detection Object Detection +1

BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling

1 code implementation SemEval (NAACL) 2022 Cunliang Kong, Yujie Wang, Ruining Chong, Liner Yang, Hengyuan Zhang, Erhong Yang, Yaping Huang

This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English and French.

Language Modelling Word Embeddings

The Tree Loss: Improving Generalization with Many Classes

no code implementations16 Apr 2022 Yujie Wang, Mike Izbicki

We introduce the tree loss as a drop-in replacement for the cross entropy loss.

Multi-class Classification

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection

1 code implementation30 Mar 2022 Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang

Specifically, for pseudo labeling, existing works only focus on the classification score yet fail to guarantee the localization precision of pseudo boxes; For consistency training, the widely adopted random-resize training only considers the label-level consistency but misses the feature-level one, which also plays an important role in ensuring the scale invariance.

object-detection Object Detection +1

Disturbance Observer-based Robust Control Barrier Functions

no code implementations24 Mar 2022 Yujie Wang, Xiangru Xu

This work presents a safe control design approach that integrates the disturbance observer (DOB) and the control barrier function (CBF) for systems with external disturbances.

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation

no code implementations9 Dec 2021 Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

Based on the two observations, we propose Rank Mimicking (RM) and Prediction-guided Feature Imitation (PFI) for distilling one-stage detectors, respectively.

Image Classification Knowledge Distillation +3

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation

no code implementations CVPR 2022 Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P. N. Suganthan

We show that with the help of a content-rich discrete visual codebook from VQ-VAE, the discrete diffusion model can also generate high fidelity images with global context, which compensates for the deficiency of the classical autoregressive model along pixel space.

Denoising Image Inpainting +1

One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data

no code implementations24 Nov 2021 Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan

Transferring with few data in a general way to thousands of downstream tasks is becoming a trend of the foundation model's application.

INTERN: A New Learning Paradigm Towards General Vision

no code implementations16 Nov 2021 Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society.

Hierarchical Segment-based Optimization for SLAM

no code implementations7 Nov 2021 Yuxin Tian, Yujie Wang, Ming Ouyang, Xuesong Shi

This paper presents a hierarchical segment-based optimization method for Simultaneous Localization and Mapping (SLAM) system.

Segmentation Simultaneous Localization and Mapping

Neural Implicit 3D Shapes from Single Images with Spatial Patterns

1 code implementation6 Jun 2021 Yixin Zhuang, Yunzhe Liu, Yujie Wang, Baoquan Chen

However, the image features for describing 3D point samplings of implicit functions are less effective when significant variations of occlusions, views, and appearances exist from the image.

3D Reconstruction 3D Shape Reconstruction +1

Fixing the Teacher-Student Knowledge Discrepancy in Distillation

no code implementations31 Mar 2021 Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang

To solve this problem, in this paper, we propose a novel student-dependent distillation method, knowledge consistent distillation, which makes teacher's knowledge more consistent with the student and provides the best suitable knowledge to different student networks for distillation.

Image Classification Knowledge Distillation +2

Differentiable Network Adaption with Elastic Search Space

no code implementations30 Mar 2021 Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li

In this paper we propose a novel network adaption method called Differentiable Network Adaption (DNA), which can adapt an existing network to a specific computation budget by adjusting the width and depth in a differentiable manner.

Neural Architecture Search

Multi-scale Network Architecture Search for Object Detection

no code implementations1 Jan 2021 Yuxin Yue, Quanquan Li, Yujie Wang

Many commonly-used detection frameworks aim to handle the multi-scale object detection problem.

feature selection object-detection +1

DMCP: Differentiable Markov Channel Pruning for Neural Networks

1 code implementation CVPR 2020 Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan

In DMCP, we model the channel pruning as a Markov process, in which each state represents for retaining the corresponding channel during pruning, and transitions between states denote the pruning process.

TiSASRec: Time Interval Aware Self-Attention for Sequential Recommendation

5 code implementations1 Jan 2020 Jiacheng Li, Yujie Wang, Julian McAuley

Sequential recommender systems seek to exploit the order of users' interactions, in order to predict their next action based on the context of what they have done recently.

Sequential Recommendation

Single image reflection removal via learning with multi-image constraints

no code implementations8 Dec 2019 Yingda Yin, Qingnan Fan, Dong-Dong Chen, Yujie Wang, Angelica Aviles-Rivero, Ruoteng Li, Carola-Bibiane Schnlieb, Baoquan Chen

Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass.

Reflection Removal

DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition

no code implementations10 Oct 2019 Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang

Despite the wide application of Graph Convolutional Network (GCN), one major limitation is that it does not benefit from the increasing depth and suffers from the oversmoothing problem.

Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3

no code implementations24 Jul 2018 Yujie Wang, Simon Sun, Jahow Yu, Dr. Limin Yu

As melanoma diagnoses increase across the US, automated efforts to identify malignant lesions become increasingly of interest to the research community.

Image Segmentation Lesion Segmentation +3

Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy

no code implementations CVPR 2018 Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng

Fully convolutional neural network (FCN) has been dominating the game of face detection task for a few years with its congenital capability of sliding-window-searching with shared kernels, which boiled down all the redundant calculation, and most recent state-of-the-art methods such as Faster-RCNN, SSD, YOLO and FPN use FCN as their backbone.

Face Detection Philosophy +1

Flow-Guided Feature Aggregation for Video Object Detection

2 code implementations ICCV 2017 Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei

The accuracy of detection suffers from degenerated object appearances in videos, e. g., motion blur, video defocus, rare poses, etc.

object-detection Video Object Detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.