Search Results for author: Wei Guo

Found 36 papers, 9 papers with code

Improved-Flow Warp Module for Remote Sensing Semantic Segmentation

no code implementations9 May 2022 Yinjie Zhang, Yi Liu, Wei Guo

Second, the offsets help with the low-resolution deep feature up-sampling process to improve the feature accordance, which boosts the accuracy of semantic segmentation.

Semantic Segmentation

Cross Pairwise Ranking for Unbiased Item Recommendation

1 code implementation26 Apr 2022 Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang

In this work, we develop a new learning paradigm named Cross Pairwise Ranking (CPR) that achieves unbiased recommendation without knowing the exposure mechanism.

Recommendation Systems

Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images

no code implementations2 Apr 2022 Siyang Wen, Wei Guo, Yi Liu, Ruijie Wu

The eight-parameter (coordinates of box vectors) methods in rotated object detection usually use ln-norm losses (L1 loss, L2 loss, and smooth L1 loss) as loss functions.

Object Detection In Aerial Images

Extending the WILDS Benchmark for Unsupervised Adaptation

no code implementations ICLR 2022 Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

Unlabeled data can be a powerful point of leverage for mitigating these distribution shifts, as it is frequently much more available than labeled data and can often be obtained from distributions beyond the source distribution as well.

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction

no code implementations30 Nov 2021 Wei Guo, Can Zhang, ZhiCheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

With the help of two novel CNN-based multi-interest extractors, self-supervision signals are discovered with full considerations of different interest representations (point-wise and union-wise), interest dependencies (short-range and long-range), and interest correlations (inter-item and intra-item).

Click-Through Rate Prediction Contrastive Learning +3

An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences

no code implementations16 Nov 2021 Wei Guo, Benedetta Tondi, Mauro Barni

The classification guiding the analysis is based on the amount of control that the attacker has on the training process, and the capability of the defender to verify the integrity of the data used for training, and to monitor the operations of the DNN at training and test time.

Backdoor Attack

Dual Graph enhanced Embedding Neural Network for CTR Prediction

no code implementations1 Jun 2021 Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

To solve these problems, we propose a novel module named Dual Graph enhanced Embedding, which is compatible with various CTR prediction models to alleviate these two problems.

Click-Through Rate Prediction Recommendation Systems

Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution

no code implementations25 May 2021 Kaaviya Velumani, Raul Lopez-Lozano, Simon Madec, Wei Guo, Joss Gillet, Alexis Comar, Frederic Baret

Results show that Faster-RCNN achieved very good plant detection and counting (rRMSE=0. 08) performances when native HR images are used both for training and validation.

Super-Resolution

Global Wheat Challenge 2020: Analysis of the competition design and winning models

no code implementations13 May 2021 Etienne David, Franklin Ogidi, Wei Guo, Frederic Baret, Ian Stavness

Data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science problems.

Data Augmentation Head Detection

Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance

no code implementations5 May 2021 Wei Guo, Marc Brittain, Peng Wei

We demonstrate the effectiveness of the two sub-modules in an open-source air traffic simulator with challenging environment settings.

Data Augmentation reinforcement-learning

Deep Learning for Click-Through Rate Estimation

no code implementations21 Apr 2021 Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

In this survey, we provide a comprehensive review of deep learning models for CTR estimation tasks.

Recommendation Systems

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table

1 code implementation17 Apr 2021 Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu

Different from the models with dense training data, the training data for CTR models is usually high-dimensional and sparse.

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data

no code implementations9 Jan 2021 Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu

Our scalable real-time forecasting system FlashP (Flash Prediction) is built based on this idea, with two major challenges to be resolved in this paper: first, we need to figure out how approximate aggregations affect the fitting of forecasting models, and forecasting results; and second, accordingly, what sampling algorithms we should use to obtain these approximate aggregations and how large the samples are.

Time Series

Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification

no code implementations12 Dec 2020 Can Zhang, Hong Liu, Wei Guo, Mang Ye

RGB-Infrared person re-identification (RGB-IR Re-ID) aims to match persons from heterogeneous images captured by visible and thermal cameras, which is of great significance in the surveillance system under poor light conditions.

Person Re-Identification

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection

1 code implementation NeurIPS 2020 Wen-Da Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo

Intra-saliency and inter-saliency cues have been extensively studied for co-saliency detection (Co-SOD).

Saliency Detection

Charge density wave and weak Kondo effect in a Dirac semimetal CeSbTe

no code implementations23 Nov 2020 Peng Li, Baijiang Lv, Yuan Fang, Wei Guo, Zhongzheng Wu, Yi Wu, Cheng-Maw Cheng, Dawei Shen, Yuefeng Nie, Luca Petaccia, Chao Cao, Zhu-An Xu, Yang Liu

Using angle-resolved photoemission spectroscopy (ARPES) and low-energy electron diffraction (LEED), together with density-functional theory (DFT) calculation, we report the formation of charge density wave (CDW) and its interplay with the Kondo effect and topological states in CeSbTe.

Strongly Correlated Electrons Materials Science

Commonsense knowledge adversarial dataset that challenges ELECTRA

no code implementations25 Oct 2020 Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao

To investigate machine comprehension models' ability in handling the commonsense knowledge, we created a Question and Answer Dataset with common knowledge of Synonyms (QADS).

Reading Comprehension Word Sense Disambiguation

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems

no code implementations25 Aug 2020 Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates

We develop a Graph Structure Aware Incremental Learning framework, GraphSAIL, to address the commonly experienced catastrophic forgetting problem that occurs when training a model in an incremental fashion.

Incremental Learning Recommendation Systems

A Framework for Recommending Accurate and Diverse ItemsUsing Bayesian Graph Convolutional Neural Networks

1 code implementation Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates

Because of the multitude of relationships existing in recommender systems, Graph Neural Networks (GNNs) based approaches have been proposed to better characterize the various relationships between a user and items while modeling a user's preferences.

Recommendation Systems

Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey

no code implementations18 Jun 2020 Akshay L Chandra, Sai Vikas Desai, Wei Guo, Vineeth N. Balasubramanian

In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield.

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

1 code implementation6 Jun 2020 Wei Guo, Aylin Caliskan

Furthermore, we develop two methods, Intersectional Bias Detection (IBD) and Emergent Intersectional Bias Detection (EIBD), to automatically identify the intersectional biases and emergent intersectional biases from static word embeddings in addition to measuring them in contextualized word embeddings.

Bias Detection Word Embeddings

Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter

1 code implementation18 Apr 2020 Autumn Toney, Akshat Pandey, Wei Guo, David Broniatowski, Aylin Caliskan

This paper considers the problem of automatically characterizing overall attitudes and biases that may be associated with emerging information operations via artificial intelligence.

Semantic-Aware Label Placement for Augmented Reality in Street View

no code implementations15 Dec 2019 Jianqing Jia, Semir Elezovikj, Heng Fan, Shuojin Yang, Jing Liu, Wei Guo, Chiu C. Tan, Haibin Ling

Our solution encodes the constraints for placing labels in an optimization problem to obtain the final label layout, and the labels will be placed in appropriate positions to reduce the chances of overlaying important real-world objects in street view AR scenarios.

An Adaptive Supervision Framework for Active Learning in Object Detection

no code implementations7 Aug 2019 Sai Vikas Desai, Akshay L Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian

Our extensive experiments show that the proposed framework can be used to train good generalizable models with much lesser annotation costs than the state of the art active learning approaches for object detection.

Active Learning Object Detection

Deep Learning-Based Semantic Segmentation of Microscale Objects

1 code implementation3 Jul 2019 Ekta U. Samani, Wei Guo, Ashis G. Banerjee

Accurate estimation of the positions and shapes of microscale objects is crucial for automated imaging-guided manipulation using a non-contact technique such as optical tweezers.

Semantic Segmentation

Automatic estimation of heading date of paddy rice using deep learning

no code implementations19 Jun 2019 Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo

Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location.

Image Classification Time Series

Towards Personalized Management of Type B Aortic Dissection Using STENT: a STandard cta database with annotation of the ENtire aorta and True-false lumen

no code implementations3 Jan 2019 Jianning Li, Long Cao, Yangyang Ge, Bowen Meng, Cheng Wang, Wei Guo

The database contains 274 CT angiography (CTA) scans from 274 unique TBAD patients and is split into a training set(254 cases including 210 preoperative and 44 postoperative scans ) and a test set(20 cases). Based on STENT, we develop a series of methods including automated TBAD segmentation and automated measurement of TBAD parameters that facilitate personalized and precise management of the disease.

Decision Making

Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians

no code implementations14 Dec 2017 Ning Li, Haopeng Liu, Bin Qiu, Wei Guo, Shijun Zhao, Kungang Li, Jie He

This paper proposes a novel and efficient method to build a Computer-Aided Diagnoses (CAD) system for lung nodule detection based on Computed Tomography (CT).

Computed Tomography (CT) Lung Nodule Detection +1

A Note on Community Trees in Networks

no code implementations11 Oct 2017 Ruqian Chen, Yen-Chi Chen, Wei Guo, Ashis G. Banerjee

We introduce the concept of community trees that summarizes topological structures within a network.

Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification

no code implementations12 Jan 2017 Wei Guo, Krithika Manohar, Steven L. Brunton, Ashis G. Banerjee

Topological data analysis (TDA) has emerged as one of the most promising techniques to reconstruct the unknown shapes of high-dimensional spaces from observed data samples.

General Classification Texture Classification +1

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