Jiaxin Huang | DeepAI

AI Chat

Featured Co-authors

Yu Zhang
406 publications
Xin Wang
382 publications
Jianfeng Gao
241 publications
Chao Zhang
239 publications
Jiawei Han
140 publications
Heng Ji
126 publications
Weizhu Chen
89 publications
Chunyuan Li
84 publications
Xuan Wang
62 publications
Chenyan Xiong
57 publications
Zihan Wang
48 publications

∙ 09/09/2023

VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis

Unsupervised learning of 3D-aware generative adversarial networks has la...

0 Xinya Chen, et al. ∙

∙ 07/05/2023

Graphical CSS Code Transformation Using ZX Calculus

In this work, we present a generic approach to transform CSS codes by bu...

0 Jiaxin Huang, et al. ∙

∙ 11/06/2022

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

Recent studies have revealed the intriguing few-shot learning ability of...

0 Yu Meng, et al. ∙

∙ 10/20/2022

Large Language Models Can Self-Improve

Large Language Models (LLMs) have achieved excellent performances in var...

1 Jiaxin Huang, et al. ∙

∙ 06/28/2022

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation

We study the problem of few-shot Fine-grained Entity Typing (FET), where...

0 Jiaxin Huang, et al. ∙

∙ 05/26/2022

Mitigating barren plateaus of variational quantum eigensolvers

Variational quantum algorithms (VQAs) are expected to establish valuable...

0 Xia Liu, et al. ∙

∙ 05/22/2022

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass

Multi-Task Learning (MTL) models have shown their robustness, effectiven...

0 Jiaxin Huang, et al. ∙

∙ 02/09/2022

Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations

Topic models have been the prominent tools for automatic topic discovery...

0 Yu Meng, et al. ∙

∙ 02/09/2022

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

Pretrained language models (PLMs) have demonstrated remarkable performan...

0 Yu Meng, et al. ∙

∙ 10/17/2021

Fine-Grained Opinion Summarization with Minimal Supervision

Opinion summarization aims to profile a target by extracting opinions fr...

0 Suyu Ge, et al. ∙

∙ 09/10/2021

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

We study the problem of training named entity recognition (NER) models u...

0 Yu Meng, et al. ∙

∙ 12/29/2020

Few-Shot Named Entity Recognition: A Comprehensive Study

This paper presents a comprehensive study to efficiently build named ent...

0 Jiaxin Huang, et al. ∙

∙ 10/14/2020

Text Classification Using Label Names Only: A Language Model Self-Training Approach

Current text classification methods typically require a good number of h...

0 Yu Meng, et al. ∙

∙ 10/13/2020

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

Taxonomy is not only a fundamental form of knowledge representation, but...

0 Jiaxin Huang, et al. ∙

∙ 10/13/2020

Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding

Aspect-based sentiment analysis of review texts is of great value for un...

0 Jiaxin Huang, et al. ∙

∙ 07/18/2020

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Mining a set of meaningful topics organized into a hierarchy is intuitiv...

1 Yu Meng, et al. ∙

∙ 05/01/2020

Minimally Supervised Categorization of Text with Metadata

Document categorization, which aims to assign a topic label to each docu...

0 Yu Zhang, et al. ∙

∙ 11/04/2019

Spherical Text Embedding

Unsupervised text embedding has shown great power in a wide range of NLP...

0 Yu Meng, et al. ∙

∙ 08/20/2019

CatE: Category-Name GuidedWord Embedding

Unsupervised word embedding has benefited a wide spectrum of NLP tasks d...

0 Yu Meng, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world