b'Jiancheng Lv'

research

∙ 09/04/2023

Federated cINN Clustering for Accurate Clustered Federated Learning

Federated Learning (FL) presents an innovative approach to privacy-prese...

0 Yuhao Zhou, et al. ∙

research

∙ 06/07/2023

Knowing-how Knowing-that: A New Task for Machine Reading Comprehension of User Manuals

The machine reading comprehension (MRC) of user manuals has huge potenti...

0 Hongru Liang, et al. ∙

research

∙ 05/09/2023

GPT-NAS: Neural Architecture Search with the Generative Pre-Trained Model

Neural Architecture Search (NAS) has emerged as one of the effective met...

0 Caiyang Yu, et al. ∙

research

∙ 04/26/2023

Deep Lifelong Cross-modal Hashing

Hashing methods have made significant progress in cross-modal retrieval ...

0 Liming Xu, et al. ∙

research

∙ 04/18/2023

Differentiable Genetic Programming for High-dimensional Symbolic Regression

Symbolic regression (SR) is the process of discovering hidden relationsh...

0 Peng Zeng, et al. ∙

research

∙ 02/27/2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence

Reducing communication overhead in federated learning (FL) is challengin...

0 Yuhao Zhou, et al. ∙

research

∙ 12/28/2022

Differentiable Search of Accurate and Robust Architectures

Deep neural networks (DNNs) are found to be vulnerable to adversarial at...

0 Yuwei Ou, et al. ∙

research

∙ 11/19/2022

Personalized Federated Learning with Hidden Information on Personalized Prior

Federated learning (FL for simplification) is a distributed machine lear...

0 Mingjia Shi, et al. ∙

research

∙ 11/07/2022

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition

Incorporating large-scale pre-trained models with the prototypical neura...

0 Youcheng Huang, et al. ∙

research

∙ 09/26/2022

Deep Fair Clustering via Maximizing and Minimizing Mutual Information

Fair clustering aims to divide data into distinct clusters, while preven...

0 Pengxin Zeng, et al. ∙

research

∙ 08/11/2022

Draft, Command, and Edit: Controllable Text Editing in E-Commerce

Product description generation is a challenging and under-explored task....

0 Kexin Yang, et al. ∙

research

∙ 04/07/2022

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy

Proactive dialogue system is able to lead the conversation to a goal top...

0 Wenqiang Lei, et al. ∙

research

∙ 04/06/2022

DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg

Federated learning (FL) is identified as a crucial enabler for large-sca...

1 Yuhao Zhou, et al. ∙

research

∙ 03/08/2022

Multi-Scale Adaptive Network for Single Image Denoising

Multi-scale architectures have shown effectiveness in a variety of tasks...

0 Yuanbiao Gou, et al. ∙

research

∙ 03/05/2022

Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize both seen and un...

0 Yi Gao, et al. ∙

research

∙ 11/27/2021

Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted

Contact patterns play a key role in the spread of respiratory infectious...

0 Yining Zhao, et al. ∙

research

∙ 10/07/2021

Adversarial Retriever-Ranker for dense text retrieval

Current dense text retrieval models face two typical challenges. First, ...

4 Hang Zhang, et al. ∙

research

∙ 07/14/2021

Unsupervised Neural Rendering for Image Hazing

Image hazing aims to render a hazy image from a given clean one, which c...

0 Boyun Li, et al. ∙

research

∙ 05/17/2021

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Hybrid data combining both tabular and textual content (e.g., financial ...

7 Fengbin Zhu, et al. ∙

research

∙ 05/10/2021

Poolingformer: Long Document Modeling with Pooling Attention

In this paper, we introduce a two-level attention schema, Poolingformer,...

16 Hang Zhang, et al. ∙

research

∙ 05/03/2021

Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search

Arrhythmia is a cardiovascular disease that manifests irregular heartbea...

0 Jindi Lv, et al. ∙

research

∙ 04/23/2021

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

In open-domain conversational systems, it is important but challenging t...

0 Cheng Luo, et al. ∙

research

∙ 04/21/2021

LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences

In educational applications, Knowledge Tracing (KT), the problem of accu...

1 Yuhao Zhou, et al. ∙

research

∙ 01/15/2021

Dynamic Normalization

Batch Normalization has become one of the essential components in CNN. I...

0 Chuan Liu, et al. ∙

research

∙ 12/12/2020

Communication-Efficient Federated Learning with Compensated Overlap-FedAvg

Petabytes of data are generated each day by emerging Internet of Things ...

4 Yuhao Zhou, et al. ∙

research

∙ 10/04/2020

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space

In this paper, we propose a novel data augmentation method, referred to ...

0 Dayiheng Liu, et al. ∙

research

∙ 09/24/2020

AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation

Ancient Chinese is the essence of Chinese culture. There are several nat...

0 Huishuang Tian, et al. ∙

research

∙ 09/06/2020

HLSGD Hierarchical Local SGD With Stale Gradients Featuring

While distributed training significantly speeds up the training process ...

13 Yuhao Zhou, et al. ∙

research

∙ 09/06/2020

PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks

Parameter updating is an important stage in parallelism-based distribute...

8 Qing Ye, et al. ∙

research

∙ 07/23/2020

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training

Synchronous strategies with data parallelism, such as the Synchronous St...

5 Qing Ye, et al. ∙

research

∙ 04/30/2020

RikiNet: Reading Wikipedia Pages for Natural Question Answering

Reading long documents to answer open-domain questions remains challengi...

0 Dayiheng Liu, et al. ∙

research

∙ 04/28/2020

Let's be Humorous: Knowledge Enhanced Humor Generation

The generation of humor is an under-explored and challenging problem. Pr...

0 Hang Zhang, et al. ∙

research

∙ 04/13/2020

Learning Event-Based Motion Deblurring

Recovering sharp video sequence from a motion-blurred image is highly il...

3 Zhe Jiang, et al. ∙

research

∙ 04/08/2020

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation

News headline generation aims to produce a short sentence to attract rea...

0 Dayiheng Liu, et al. ∙

research

∙ 03/24/2020

Generating Chinese Poetry from Images via Concrete and Abstract Information

In recent years, the automatic generation of classical Chinese poetry ha...

0 Yusen Liu, et al. ∙

research

∙ 02/05/2020

Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting

Prior knowledge of face shape and location plays an important role in fa...

8 Xian Zhang, et al. ∙

research

∙ 11/19/2019

Deep Poetry: A Chinese Classical Poetry Generation System

In this work, we demonstrate a Chinese classical poetry generation syste...

0 Yusen Liu, et al. ∙

research

∙ 08/09/2019

Deep Density-aware Count Regressor

We seek to improve crowd counting as we perceive limits of currently pre...

1 Zhuojun Chen, et al. ∙

research

∙ 06/10/2019

Deep Learning-Based Automatic Downbeat Tracking: A Brief Review

As an important format of multimedia, music has filled almost everyone's...

0 Bijue Jia, et al. ∙

research

∙ 05/29/2019

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer

Typical methods for unsupervised text style transfer often rely on two k...

0 Dayiheng Liu, et al. ∙

research

∙ 05/26/2019

TIGS: An Inference Algorithm for Text Infilling with Gradient Search

Text infilling is defined as a task for filling in the missing part of a...

0 Dayiheng Liu, et al. ∙

research

∙ 05/24/2019

mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation

It has been previously observed that training Variational Recurrent Auto...

0 Dayiheng Liu, et al. ∙

research

∙ 08/28/2018

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine

We investigate the potential of a restricted Boltzmann Machine (RBM) for...

0 Dongdong Chen, et al. ∙

research

∙ 08/11/2018

Ancient-Modern Chinese Translation with a Large Training Dataset

Ancient Chinese brings the wisdom and spirit culture of the Chinese nati...

0 Dayiheng Liu, et al. ∙

research

∙ 06/26/2018

A Multi-Modal Chinese Poetry Generation Model

Recent studies in sequence-to-sequence learning demonstrate that RNN enc...

0 Dayiheng Liu, et al. ∙

research

∙ 06/21/2018

BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation

In many natural language generation tasks, incorporating additional know...

0 Dayiheng Liu, et al. ∙

Jiancheng Lv

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