Jingjing Li

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation

Domain adaptation (DA) becomes an up-and-coming technique to address the...
10/23/2020 ∙ by Taotao Jing Name, et al. ∙ 0 ∙ share

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

Document interpretation and dialog understanding are the two major chall...
10/05/2020 ∙ by Yifan Gao, et al. ∙ 6 ∙ share

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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 ...
07/27/2020 ∙ by Zhi Chen, et al. ∙ 4 ∙ share

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Accurate RGB-D Salient Object Detection via Collaborative Learning

Benefiting from the spatial cues embedded in depth images, recent progre...
07/23/2020 ∙ by Wei Ji, et al. ∙ 0 ∙ share

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Unsupervised Text Generation by Learning from Search

In this work, we present TGLS, a novel framework to unsupervised Text Ge...
07/09/2020 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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

Social network stores and disseminates a tremendous amount of user share...
06/10/2020 ∙ by Lei Zhu, et al. ∙ 0 ∙ share

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Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs

Rapid development of big data and high-performance computing have encour...
05/18/2020 ∙ by Zhenyu Yuan, et al. ∙ 0 ∙ share

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Task-adaptive Asymmetric Deep Cross-modal Hashing

Supervised cross-modal hashing aims to embed the semantic correlations o...
04/01/2020 ∙ by Tong Wang, et al. ∙ 0 ∙ share

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

Hashing is an effective technique to address the large-scale recommendat...
03/24/2020 ∙ by Yang Xu, et al. ∙ 0 ∙ share

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

Tens of millions of women suffer from infertility worldwide each year. I...
11/10/2019 ∙ by Bo Zhang, et al. ∙ 0 ∙ share

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Improving Question Generation With to the Point Context

Question generation (QG) is the task of generating a question from a ref...
10/14/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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

Existing methods using generative adversarial approaches for Zero-Shot L...
09/21/2019 ∙ by Zhi Chen, et al. ∙ 0 ∙ share

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Cycle-consistent Conditional Adversarial Transfer Networks

Domain adaptation investigates the problem of cross-domain knowledge tra...
09/17/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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Alleviating Feature Confusion for Generative Zero-shot Learning

Lately, generative adversarial networks (GANs) have been successfully ap...
09/17/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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

A natural language interface (NLI) to databases is an interface that tra...
08/28/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation

Visual paragraph generation aims to automatically describe a given image...
08/01/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Agile Domain Adaptation

Domain adaptation investigates the problem of leveraging knowledge from ...
07/11/2019 ∙ by Jingjing Li, et al. ∙ 4 ∙ share

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A Fusion Adversarial Network for Underwater Image Enhancement

Underwater image enhancement algorithms have attracted much attention in...
06/17/2019 ∙ by Jingjing Li, et al. ∙ 2 ∙ share

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Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder

We present a coupled Variational Auto-Encoder (VAE) method that improves...
06/03/2019 ∙ by Shichen Cao, et al. ∙ 0 ∙ share

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Discrete Optimal Graph Clustering

Graph based clustering is one of the major clustering methods. Most of i...
04/25/2019 ∙ by Yudong Han, et al. ∙ 8 ∙ share

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Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection

In this paper, we investigate the research problem of unsupervised multi...
04/25/2019 ∙ by Xiao Dong, et al. ∙ 0 ∙ share

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Leveraging the Invariant Side of Generative Zero-Shot Learning

Conventional zero-shot learning (ZSL) methods generally learn an embeddi...
04/08/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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ONCE and ONCE+: Counting the Frequency of Time-constrained Serial Episodes in a Streaming Sequence

As a representative sequential pattern mining problem, counting the freq...
01/29/2018 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Jingjing Li

Featured Co-authors

Yang Yang

Bo Zhang

Caiming Xiong

Meng Wang

Zheng Zhang

Jian Li

Hui Li

Shafiq Joty

Sen Wang

Huchuan Lu

Dongrui Wu

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation

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

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

Accurate RGB-D Salient Object Detection via Collaborative Learning

Unsupervised Text Generation by Learning from Search

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

Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs

Task-adaptive Asymmetric Deep Cross-modal Hashing

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

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

Improving Question Generation With to the Point Context

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

Cycle-consistent Conditional Adversarial Transfer Networks

Alleviating Feature Confusion for Generative Zero-shot Learning

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

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation

Agile Domain Adaptation

A Fusion Adversarial Network for Underwater Image Enhancement

Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder

Discrete Optimal Graph Clustering

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection

Leveraging the Invariant Side of Generative Zero-Shot Learning

ONCE and ONCE+: Counting the Frequency of Time-constrained Serial Episodes in a Streaming Sequence