b'Jingjing Li'

research

∙ 08/28/2023

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions

With the exponential surge in diverse multi-modal data, traditional uni-...

0 Lei Zhu, et al. ∙

research

∙ 08/17/2023

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection

Massive key performance indicators (KPIs) are monitored as multivariate ...

0 Haotian Si, et al. ∙

research

∙ 08/01/2023

Zero-Shot Learning by Harnessing Adversarial Samples

Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizin...

0 Zhi Chen, et al. ∙

research

∙ 07/03/2023

VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder

Previous question-answer pair generation methods aimed to produce fluent...

0 Yueen Ma, et al. ∙

research

∙ 06/19/2023

Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network

The recommendation algorithm based on knowledge graphs is at a relativel...

0 Ahmad A. Mubarak, et al. ∙

research

∙ 04/12/2023

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Recently, Meta AI Research approaches a general, promptable Segment Anyt...

0 Wei Ji, et al. ∙

research

∙ 03/08/2023

Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment

Multimedia applications are often associated with cross-domain knowledge...

0 Jinghan Ru, et al. ∙

research

∙ 02/23/2023

A Comprehensive Survey on Source-free Domain Adaptation

Over the past decade, domain adaptation has become a widely studied bran...

0 Zhiqi Yu, et al. ∙

research

∙ 12/26/2022

Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning

Zero-Shot Learning has been a highlighted research topic in both vision ...

0 Jiwei Wei, et al. ∙

research

∙ 12/18/2022

Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks

In this work, we study the black-box targeted attack problem from the mo...

0 Anqi Zhao, et al. ∙

research

∙ 10/19/2022

How a Brand's Social Activism Impacts Consumers' Brand Evaluations: The Role of Brand Relationship Norms

Brands are facing heightened consumer pressure to address social issues ...

0 Jingjing Li, et al. ∙

research

∙ 10/19/2022

Variational Model Perturbation for Source-Free Domain Adaptation

We aim for source-free domain adaptation, where the task is to deploy a ...

5 Mengmeng Jing, et al. ∙

research

∙ 09/05/2022

Federated Zero-Shot Learning for Visual Recognition

Zero-shot learning is a learning regime that recognizes unseen classes b...

0 Zhi Chen, et al. ∙

research

∙ 07/05/2022

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...

7 Zhi Chen, et al. ∙

research

∙ 05/15/2022

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

Growing interests in RGB-D salient object detection (RGB-D SOD) have bee...

0 Wei Ji, et al. ∙

research

∙ 04/15/2022

Text Revision by On-the-Fly Representation Optimization

Text revision refers to a family of natural language generation tasks, w...

0 Jingjing Li, et al. ∙

research

∙ 01/26/2022

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model

Synthetic data construction of Grammatical Error Correction (GEC) for no...

6 Xin Sun, et al. ∙

research

∙ 10/14/2021

Region Semantically Aligned Network for Zero-Shot Learning

Zero-shot learning (ZSL) aims to recognize unseen classes based on the k...

0 Ziyang Wang, et al. ∙

research

∙ 10/13/2021

Domain Adaptive Semantic Segmentation without Source Data

Domain adaptive semantic segmentation is recognized as a promising techn...

0 Fuming You, et al. ∙

research

∙ 10/06/2021

Test-time Batch Statistics Calibration for Covariate Shift

Deep neural networks have a clear degradation when applying to the unsee...

0 Fuming You, et al. ∙

research

∙ 08/15/2021

Human Pose and Shape Estimation from Single Polarization Images

This paper focuses on a new problem of estimating human pose and shape f...

0 Shihao Zou, et al. ∙

research

∙ 08/09/2021

Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval

Hashing learns compact binary codes to store and retrieve massive data e...

0 Hui Cui, et al. ∙

research

∙ 08/02/2021

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring

Energy disaggregation, also known as non-intrusive load monitoring (NILM...

0 Zhekai Du, et al. ∙

research

∙ 07/14/2021

Spectrum Gaussian Processes Based On Tunable Basis Functions

Spectral approximation and variational inducing learning for the Gaussia...

12 Wenqi Fang, et al. ∙

research

∙ 07/07/2021

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...

0 Zhi Chen, et al. ∙

research

∙ 07/03/2021

A convolutional neural network for prestack fracture detection

Fractures are widely developed in hydrocarbon reservoirs and constitute ...

0 Zhenyu Yuan, et al. ∙

research

∙ 07/02/2021

Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks

Different from the traditional recommender system, the session-based rec...

0 Ruihong Qiu, et al. ∙

research

∙ 06/08/2021

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge le...

0 Zhekai Du, et al. ∙

research

∙ 02/25/2021

Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel

Recently, some researches are devoted to the topic of end-to-end learnin...

0 Jingjing Li, et al. ∙

research

∙ 02/17/2021

Open-Retrieval Conversational Machine Reading

In conversational machine reading, systems need to interpret natural lan...

0 Yifan Gao, et al. ∙

research

∙ 01/20/2021

Semantic Disentangling Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...

10 Zhi Chen, et al. ∙

research

∙ 01/09/2021

Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning

Compared to conventional zero-shot learning (ZSL) where recognising unse...

20 Zhi Chen, et al. ∙

research

∙ 11/02/2020

Deep Pairwise Hashing for Cold-start Recommendation

Recommendation efficiency and data sparsity problems have been regarded ...

0 Yan Zhang, et al. ∙

research

∙ 10/23/2020

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation

Domain adaptation (DA) becomes an up-and-coming technique to address the...

0 Taotao Jing Name, et al. ∙

research

∙ 10/05/2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

Document interpretation and dialog understanding are the two major chall...

6 Yifan Gao, et al. ∙

research

∙ 07/27/2020

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches

Zero-shot learning (ZSL) is commonly used to address the very pervasive ...

4 Zhi Chen, et al. ∙

research

∙ 07/23/2020

Accurate RGB-D Salient Object Detection via Collaborative Learning

Benefiting from the spatial cues embedded in depth images, recent progre...

0 Wei Ji, et al. ∙

research

∙ 07/09/2020

Unsupervised Text Generation by Learning from Search

In this work, we present TGLS, a novel framework to unsupervised Text Ge...

0 Jingjing Li, et al. ∙

research

∙ 06/10/2020

Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval

Social network stores and disseminates a tremendous amount of user share...

0 Lei Zhu, et al. ∙

research

∙ 05/18/2020

Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs

Rapid development of big data and high-performance computing have encour...

0 Zhenyu Yuan, et al. ∙

research

∙ 04/01/2020

Task-adaptive Asymmetric Deep Cross-modal Hashing

Supervised cross-modal hashing aims to embed the semantic correlations o...

0 Tong Wang, et al. ∙

research

∙ 03/24/2020

Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation

Hashing is an effective technique to address the large-scale recommendat...

0 Yang Xu, et al. ∙

research

∙ 11/10/2019

In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics

Tens of millions of women suffer from infertility worldwide each year. I...

0 Bo Zhang, et al. ∙

research

∙ 10/14/2019

Improving Question Generation With to the Point Context

Question generation (QG) is the task of generating a question from a ref...

0 Jingjing Li, et al. ∙

research

∙ 09/21/2019

CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language

Existing methods using generative adversarial approaches for Zero-Shot L...

0 Zhi Chen, et al. ∙

research

∙ 09/17/2019

Cycle-consistent Conditional Adversarial Transfer Networks

Domain adaptation investigates the problem of cross-domain knowledge tra...

0 Jingjing Li, et al. ∙

research

∙ 09/17/2019

Alleviating Feature Confusion for Generative Zero-shot Learning

Lately, generative adversarial networks (GANs) have been successfully ap...

0 Jingjing Li, et al. ∙

research

∙ 08/28/2019

SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension

A natural language interface (NLI) to databases is an interface that tra...

0 Jingjing Li, et al. ∙

research

∙ 08/01/2019

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation

Visual paragraph generation aims to automatically describe a given image...

0 Yadan Luo, et al. ∙

research

∙ 07/11/2019

Agile Domain Adaptation

Domain adaptation investigates the problem of leveraging knowledge from ...

4 Jingjing Li, et al. ∙

Jingjing Li

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