b'Jun Huang'

research

∙ 09/20/2023

Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters

Recently, Large Language Models (LLMs) have achieved amazing zero-shot l...

0 Yukang Xie, et al. ∙

research

∙ 09/11/2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud

Text-to-image synthesis for the Chinese language poses unique challenges...

0 Chengyu Wang, et al. ∙

research

∙ 08/29/2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification

Text classification is one of the most imperative tasks in natural langu...

0 Jianing Wang, et al. ∙

research

∙ 08/07/2023

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis

In recent years, diffusion models have emerged as the most powerful appr...

0 Zhongjie Duan, et al. ∙

research

∙ 07/31/2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey

Diffusion models and large language models have emerged as leading-edge ...

0 Mingyuan Fan, et al. ∙

research

∙ 07/17/2023

Scale-Aware Modulation Meet Transformer

This paper presents a new vision Transformer, Scale-Aware Modulation Tra...

0 Weifeng Lin, et al. ∙

research

∙ 07/16/2023

On the Robustness of Split Learning against Adversarial Attacks

Split learning enables collaborative deep learning model training while ...

0 Mingyuan Fan, et al. ∙

research

∙ 05/28/2023

ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval

Large-scale pre-trained text-image models with dual-encoder architecture...

0 Jiapeng Wang, et al. ∙

research

∙ 05/24/2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning

Fine-tuning large pre-trained language models on various downstream task...

0 Zhen-Ru Zhang, et al. ∙

research

∙ 05/24/2023

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models

In recent years, diffusion models have become the most popular and power...

0 Zhongjie Duan, et al. ∙

research

∙ 02/17/2023

Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling

Neural sequence labeling (NSL) aims at assigning labels for input langua...

0 Jianing Wang, et al. ∙

research

∙ 01/19/2023

Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning

In cross-domain few-shot learning, the core issue is that the model trai...

0 Shuzhen Rao, et al. ∙

research

∙ 12/13/2022

Profit Maximization in Social Networks and Non-monotone DR-submodular Maximization

In this paper, we study the non-monotone DR-submodular function maximiza...

0 Shuyang Gu, et al. ∙

research

∙ 12/05/2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning

Federated Learning (FL) is pervasive in privacy-focused IoT environments...

0 Mingyuan Fan, et al. ∙

research

∙ 10/17/2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition

Few-shot Named Entity Recognition (NER) aims to identify named entities ...

0 Jianing Wang, et al. ∙

research

∙ 10/11/2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training

Recently, knowledge-enhanced pre-trained language models (KEPLMs) improv...

0 Taolin Zhang, et al. ∙

research

∙ 08/27/2022

YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6

We develop an all-in-one computer vision toolbox named EasyCV to facilit...

0 Xinyi Zou, et al. ∙

research

∙ 05/06/2022

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering

Extractive Question Answering (EQA) is one of the most important tasks i...

0 Jianing Wang, et al. ∙

research

∙ 04/30/2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

The success of Pre-Trained Models (PTMs) has reshaped the development of...

25 Chengyu Wang, et al. ∙

research

∙ 04/01/2022

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Pre-trained Language Models (PLMs) have achieved remarkable performance ...

0 Ziyun Xu, et al. ∙

research

∙ 12/14/2021

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression

Pre-trained Language Models (PLMs) have achieved great success in variou...

0 Runxin Xu, et al. ∙

research

∙ 12/02/2021

DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding

Knowledge-Enhanced Pre-trained Language Models (KEPLMs) are pre-trained ...

0 Taolin Zhang, et al. ∙

research

∙ 11/16/2021

S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement

In speech enhancement, complex neural network has shown promising perfor...

0 Shubo Lv, et al. ∙

research

∙ 07/10/2021

Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN

Low-power wide-area network technologies such as LoRaWAN are promising f...

0 Chaojie Gu, et al. ∙

research

∙ 06/22/2021

Multi-layered Semantic Representation Network for Multi-label Image Classification

Multi-label image classification (MLIC) is a fundamental and practical t...

0 Xiwen Qu, et al. ∙

research

∙ 05/12/2021

Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads

Recent trend towards increasing large machine learning models require bo...

0 Abhinav Jangda, et al. ∙

research

∙ 12/02/2020

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains

Pre-trained language models have been applied to various NLP tasks with ...

0 Haojie Pan, et al. ∙

research

∙ 11/25/2020

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

Intelligent personal assistant systems for information-seeking conversat...

8 Haojie Pan, et al. ∙

research

∙ 11/18/2020

EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

The literature has witnessed the success of applying deep Transfer Learn...

63 Minghui Qiu, et al. ∙

research

∙ 10/28/2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices

The intensive computation of Automatic Speech Recognition (ASR) models o...

0 Yiwu Yao, et al. ∙

research

∙ 09/14/2020

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition

We present EasyASR, a distributed machine learning platform for training...

21 Chengyu Wang, et al. ∙

research

∙ 09/09/2020

One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction

Structured information extraction from document images usually consists ...

21 Mengli Cheng, et al. ∙

research

∙ 08/24/2020

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources

Machine Reading Comprehension (MRC) aims to extract answers to questions...

4 Taolin Zhang, et al. ∙

research

∙ 08/04/2020

Weakly Supervised Construction of ASR Systems with Massive Video Data

Building Automatic Speech Recognition (ASR) systems from scratch is sign...

0 Mengli Cheng, et al. ∙

research

∙ 07/31/2020

A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification

Spatial attention has been introduced to convolutional neural networks (...

14 Linchuan Xu, et al. ∙

research

∙ 04/17/2020

Incorporating Multiple Cluster Centers for Multi-Label Learning

Multi-label learning deals with the problem that each instance is associ...

6 Senlin Shu, et al. ∙

research

∙ 03/29/2020

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining

Pre-trained neural language models bring significant improvement for var...

0 Chengyu Wang, et al. ∙

research

∙ 03/18/2020

SwapText: Image Based Texts Transfer in Scenes

Swapping text in scene images while preserving original fonts, colors, s...

0 Qiangpeng Yang, et al. ∙

research

∙ 02/25/2020

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification

Lexical relations describe how concepts are semantically related, in the...

0 Chengyu Wang, et al. ∙

research

∙ 01/13/2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

Large pre-trained language models such as BERT have shown their effectiv...

0 Daoyuan Chen, et al. ∙

research

∙ 06/24/2019

Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges

Mobility is the backbone of urban life and a vital economic factor in th...

0 Furqan Jameel, et al. ∙

research

∙ 05/05/2019

Secure Data Timestamping in Synchronization-Free LoRaWAN

Low-power wide-area network technologies such as LoRaWAN are important f...

0 Chaojie Gu, et al. ∙

research

∙ 02/07/2019

Artificial Intelligence for Prosthetics - challenge solutions

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...

0 Łukasz Kidziński, et al. ∙

research

∙ 12/30/2018

Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching

Deep text matching approaches have been widely studied for many applicat...

0 Chen Qu, et al. ∙

research

∙ 08/29/2018

Review Helpfulness Prediction with Embedding-Gated CNN

Product reviews, in the form of texts dominantly, significantly help con...

0 Cen Chen, et al. ∙

research

∙ 06/14/2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce

Building multi-turn information-seeking conversation systems is an impor...

0 Minghui Qiu, et al. ∙

research

∙ 05/01/2018

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

Intelligent personal assistant systems with either text-based or voice-b...

0 Liu Yang, et al. ∙

research

∙ 01/12/2018

AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience

We present AliMe Assist, an intelligent assistant designed for creating ...

0 Feng-Lin Li, et al. ∙

research

∙ 11/23/2017

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

In this paper, we study transfer learning for the PI and NLI problems, a...

0 Jianfei Yu, et al. ∙

research

∙ 11/03/2017

PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI)

We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...

0 Xu Hu, et al. ∙

Jun Huang

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