Search Results for author: Qiong Zhang

Found 27 papers, 11 papers with code

FedMT: Federated Learning with Mixed-type Labels

no code implementations5 Oct 2022 Qiong Zhang, Aline Talhouk, Gang Niu, Xiaoxiao Li

In this paper, we consider an important yet under-explored setting of FL, namely FL with mixed-type labels where different labeling criteria can be employed by various centers, leading to inter-center label space differences and challenging existing FL methods designed for the classical setting.

Federated Learning Vocal Bursts Type Prediction

Reinforced Structured State-Evolution for Vision-Language Navigation

1 code implementation CVPR 2022 Jinyu Chen, Chen Gao, Erli Meng, Qiong Zhang, Si Liu

However, the crucial navigation clues (i. e., object-level environment layout) for embodied navigation task is discarded since the maintained vector is essentially unstructured.

Navigate Vision and Language Navigation +1

Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder

1 code implementation ICCV 2021 Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu

State of the art (SOTA) few-shot learning (FSL) methods suffer significant performance drop in the presence of domain differences between source and target datasets.

cross-domain few-shot learning

Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures

no code implementations3 Jul 2021 Qiong Zhang, Jiahua Chen

Do we gain anything by learning finite location-scale mixtures via a minimum Wasserstein distance estimator (MWDE)?

Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression

1 code implementation CVPR 2021 Chen Gao, Jinyu Chen, Si Liu, Luting Wang, Qiong Zhang, Qi Wu

The Remote Embodied Referring Expression (REVERIE) is a recently raised task that requires an agent to navigate to and localise a referred remote object according to a high-level language instruction.

Instruction Following Navigate +1

Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples

1 code implementation28 Oct 2020 Xin Ding, Qiong Zhang, William J. Welch

Modern methods often formulate the counting of cells from microscopic images as a regression problem and more or less rely on expensive, manually annotated training images (e. g., dot annotations indicating the centroids of cells or segmentation masks identifying the contours of cells).

Data Augmentation Image Classification

Distributed Learning of Finite Gaussian Mixtures

1 code implementation20 Oct 2020 Qiong Zhang, Jiahua Chen

Experiments based on simulated and real-world data show that the proposed split-and-conquer approach has comparable statistical performance with the global estimator based on the full dataset, if the latter is feasible.

Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning

no code implementations ACL 2020 Zhuoren Jiang, Zhe Gao, Yu Duan, Yangyang Kang, Changlong Sun, Qiong Zhang, Xiaozhong Liu

We propose a Semi-supervIsed GeNerative Active Learning (SIGNAL) model to address the imbalance, efficiency, and text camouflage problems of Chinese text spam detection task.

Active Learning Chinese Spam Detection +2

Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models

no code implementations22 May 2020 Mengxi Wei, Yifan He, Qiong Zhang

Many business documents processed in modern NLP and IR pipelines are visually rich: in addition to text, their semantics can also be captured by visual traits such as layout, format, and fonts.

Network Embedding Using Deep Robust Nonnegative Matrix Factorization

no code implementations4 May 2020 Qiong Zhang

Extensive experiments on several benchmarks of complex networks demonstrate that our proposed method DRNMF is effective and has better performance than the state-of-the-art matrix factorization based methods for network embedding.

Network Embedding

Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning

2 code implementations27 Feb 2020 Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang

Multi-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc.

Dialogue Understanding Question Answering +1

Gaussian Mixture Reduction with Composite Transportation Divergence

1 code implementation19 Feb 2020 Qiong Zhang, Archer Gong Zhang, Jiahua Chen

Existing methods such as the clustering-based approaches are renowned for their satisfactory performance and computationally efficiency.

Density Estimation

Rumor Detection on Social Media: Datasets, Methods and Opportunities

no code implementations WS 2019 Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu

Social media platforms have been used for information and news gathering, and they are very valuable in many applications.

Review-based Question Generation with Adaptive Instance Transfer and Augmentation

no code implementations ACL 2020 Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si

We propose an iterative learning framework for handling this challenge via adaptive transfer and augmentation of the training instances with the help of the available user-posed question-answer data.

Question Generation Question-Generation

Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization

no code implementations IJCNLP 2019 Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si

Sexual harassment occurred in a variety of situations, and categorization of the stories and extraction of their key elements will provide great help for the related parties to understand and address sexual harassment.

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning

no code implementations IJCNLP 2019 Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang

Customers ask questions and customer service staffs answer their questions, which is the basic service model via multi-turn customer service (CS) dialogues on E-commerce platforms.

Multiple Instance Learning

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents

no code implementations NAACL 2019 Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao

In VRDs, visual and layout information is critical for document understanding, and texts in such documents cannot be serialized into the one-dimensional sequence without losing information.

Entity Extraction using GAN

Multi-Instance Learning for End-to-End Knowledge Base Question Answering

no code implementations6 Mar 2019 Mengxi Wei, Yifan He, Qiong Zhang, Luo Si

This paper proposes a novel approach based on multiple instance learning to address the problem of noisy answers by exploring consensus among answers to the same question in training end-to-end KBQA models.

Knowledge Base Question Answering Multiple Instance Learning

Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector

no code implementations14 Nov 2018 Shanchan Wu, Kai Fan, Qiong Zhang

Distant supervised relation extraction has been successfully applied to large corpus with thousands of relations.

Relation Extraction

Aurora: Providing Trusted System Services for Enclaves On an Untrusted System

1 code implementation10 Feb 2018 Hongliang Liang, Mingyu Li, Qiong Zhang, Yue Yu, Lin Jiang, Yixiu Chen

Intel SGX provisions shielded executions for security-sensitive computation, but lacks support for trusted system services (TSS), such as clock, network and filesystem.

Cryptography and Security

Generating Handwritten Chinese Characters using CycleGAN

3 code implementations25 Jan 2018 Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng

Our method is applied not only to commonly used Chinese characters but also to calligraphy work with aesthetic values.

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach

no code implementations25 Jul 2017 Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang

The item with the highest predicted open rate is then chosen to be included in the push notification message for each user.

Product Recommendation

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