b'Qing Liu'

research

∙ 05/29/2023

Photoswap: Personalized Subject Swapping in Images

In an era where images and visual content dominate our digital landscape...

0 Jing Gu, et al. ∙

research

∙ 05/26/2023

Towards Open-World Segmentation of Parts

Segmenting object parts such as cup handles and animal bodies is importa...

0 Tai-Yu Pan, et al. ∙

research

∙ 03/09/2023

LEAP: The latent exchangeability prior for borrowing information from historical data

It is becoming increasingly popular to elicit informative priors on the ...

0 Ethan M. Alt, et al. ∙

research

∙ 02/27/2023

TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection

Multimodal hate detection, which aims to identify harmful content online...

0 Linhao Zhang, et al. ∙

research

∙ 02/21/2023

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

Query categorization at customer-to-customer e-commerce platforms like F...

0 Yunzhong He, et al. ∙

research

∙ 12/22/2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Recent work has shown that fine-tuning large pre-trained language models...

0 Srinivasan Iyer, et al. ∙

research

∙ 12/13/2022

Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators

Structure-guided image completion aims to inpaint a local region of an i...

0 Haitian Zheng, et al. ∙

research

∙ 11/19/2022

A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing

Due to the noises in crowdsourced labels, label aggregation (LA) has eme...

0 Yi Yang, et al. ∙

research

∙ 11/12/2022

A mixed element scheme of Helmholtz transmission eigenvalue problem for anisotropic media

In this paper, we study the Helmholtz transmission eigenvalue problem fo...

0 Qing Liu, et al. ∙

research

∙ 11/07/2022

Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022)

Over the past two decades, PKAW has provided a forum for researchers and...

0 Qing Liu, et al. ∙

research

∙ 07/11/2022

Exploring Contextual Relationships for Cervical Abnormal Cell Detection

Cervical abnormal cell detection is a challenging task as the morphologi...

8 Yixiong Liang, et al. ∙

research

∙ 06/07/2022

Recent Advances for Quantum Neural Networks in Generative Learning

Quantum computers are next-generation devices that hold promise to perfo...

0 Jinkai Tian, et al. ∙

research

∙ 05/22/2022

Adaptive estimation for the nonparametric bivariate additive model in random design with long-memory dependent errors

We investigate the nonparametric bivariate additive regression estimatio...

0 Rida Benhaddou, et al. ∙

research

∙ 03/23/2022

Unified Structure Generation for Universal Information Extraction

Information extraction suffers from its varying targets, heterogeneous s...

0 Yaojie Lu, et al. ∙

research

∙ 03/23/2022

Few-shot Named Entity Recognition with Self-describing Networks

Few-shot NER needs to effectively capture information from limited insta...

0 Jiawei Chen, et al. ∙

research

∙ 02/12/2022

Distributed D-core Decomposition over Large Directed Graphs

Given a directed graph G and integers k and l, a D-core is the maximal s...

0 Xuankun Liao, et al. ∙

research

∙ 12/27/2021

VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication

Emoticons are indispensable in online communications. With users' growin...

0 Pengcheng An, et al. ∙

research

∙ 10/30/2021

M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images

Feature reassembly is an essential component in modern CNNs-based segmen...

0 Qing Liu, et al. ∙

research

∙ 10/26/2021

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation

The field of computational pathology has witnessed great advancements si...

0 Yixiao Zhang, et al. ∙

research

∙ 10/18/2021

Context-aware Reranking with Utility Maximization for Recommendation

As a critical task for large-scale commercial recommender systems, reran...

0 Yunjia Xi, et al. ∙

research

∙ 09/13/2021

Fine-grained Entity Typing via Label Reasoning

Conventional entity typing approaches are based on independent classific...

0 Qing Liu, et al. ∙

research

∙ 08/23/2021

Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections

The novel coronavirus disease 2019 (COVID-19) presents unique and unknow...

0 Qing Liu, et al. ∙

research

∙ 06/09/2021

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction

Recommender systems are often asked to serve multiple recommendation sce...

0 Xiangli Yang, et al. ∙

research

∙ 05/26/2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational...

0 Jieyang Chen, et al. ∙

research

∙ 05/14/2021

Visual analogy: Deep learning versus compositional models

Is analogical reasoning a task that must be learned to solve from scratc...

8 Nicholas Ichien, et al. ∙

research

∙ 04/19/2021

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

Traditional goal-oriented dialogue systems rely on various components su...

9 Anish Acharya, et al. ∙

research

∙ 04/16/2021

COVID-19 Modeling: A Review

To tackle the COVID-19 pandemic, massive efforts have been made in model...

0 Longbing Cao, et al. ∙

research

∙ 03/25/2021

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models

Part segmentations provide a rich and detailed part-level description of...

10 Qing Liu, et al. ∙

research

∙ 03/23/2021

Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency

Weakly supervised instance segmentation reduces the cost of annotations ...

0 Qing Liu, et al. ∙

research

∙ 02/26/2021

Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification

New categories can be discovered by transforming semantic features into ...

0 Cheng Xie, et al. ∙

research

∙ 01/25/2021

Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization

Although zero-shot learning (ZSL) has an inferential capability of recog...

6 Cheng Xie, et al. ∙

research

∙ 12/31/2020

A Deep Retinal Image Quality Assessment Network with Salient Structure Priors

Retinal image quality assessment is an essential prerequisite for diagno...

14 Ziwen Xu, et al. ∙

research

∙ 12/03/2020

Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images

Automated segmentation of hard exudates in colour fundus images is a cha...

0 Qing Liu, et al. ∙

research

∙ 11/01/2020

U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...

0 Xinyi Dai, et al. ∙

research

∙ 10/26/2020

A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment

Retinal image quality assessment is an essential task in the diagnosis o...

0 Ziwen Xu, et al. ∙

research

∙ 10/12/2020

MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

Data management is becoming increasingly important in dealing with the l...

0 Xin Liang, et al. ∙

research

∙ 07/08/2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational...

0 Jieyang Chen, et al. ∙

research

∙ 06/28/2020

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion

Computer vision systems in real-world applications need to be robust to ...

0 Adam Kortylewski, et al. ∙

research

∙ 04/25/2020

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

Modeling the sequential correlation of users' historical interactions is...

0 Feng Liu, et al. ∙

research

∙ 03/10/2020

Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion

Recent work has shown that deep convolutional neural networks (DCNNs) do...

0 Adam Kortylewski, et al. ∙

research

∙ 02/23/2020

Adversarial Attack on DL-based Massive MIMO CSI Feedback

With the increasing application of deep learning (DL) algorithms in wire...

0 Qing Liu, et al. ∙

research

∙ 02/11/2020

Incremental Learning for Metric-Based Meta-Learners

Majority of the modern meta-learning methods for few-shot classification...

17 Qing Liu, et al. ∙

research

∙ 11/18/2019

Localizing Occluders with Compositional Convolutional Networks

Compositional convolutional networks are generative compositional models...

0 Adam Kortylewski, et al. ∙

research

∙ 11/05/2019

A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...

0 Qing Liu, et al. ∙

research

∙ 09/11/2019

Dual-attention Focused Module for Weakly Supervised Object Localization

The research on recognizing the most discriminative regions provides ref...

0 Yukun Zhou, et al. ∙

research

∙ 05/28/2019

Compositional Convolutional Networks For Robust Object Classification under Occlusion

Deep convolutional neural networks (DCNNs) are powerful models that yiel...

0 Adam Kortylewski, et al. ∙

research

∙ 04/18/2019

Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions

An individualized risk prediction model that dynamically updates the pro...

0 Qing Liu, et al. ∙

research

∙ 04/18/2019

DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation

Existing joint optic disc and cup segmentation approaches are developed ...

0 Qing Liu, et al. ∙

research

∙ 04/05/2019

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is widely recognized as an important...

0 Qing Liu, et al. ∙

research

∙ 12/27/2018

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Building open domain conversational systems that allow users to have eng...

0 Chandra Khatri, et al. ∙

Qing Liu

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