Search Results for author: Hailiang Huang

Found 13 papers, 7 papers with code

ADBench: Anomaly Detection Benchmark

4 code implementations19 Jun 2022 Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao

Given a long list of anomaly detection algorithms developed in the last few decades, how do they perform with regard to (i) varying levels of supervision, (ii) different types of anomalies, and (iii) noisy and corrupted data?

Anomaly Detection Outlier Detection

GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation

2 code implementations18 Nov 2022 Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen

We introduce GENIUS: a conditional text generation model using sketches as input, which can fill in the missing contexts for a given sketch (key information consisting of textual spans, phrases, or words, concatenated by mask tokens).

Conditional Text Generation Data Augmentation +8

Weakly Supervised Anomaly Detection: A Survey

2 code implementations9 Feb 2023 Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao

Anomaly detection (AD) is a crucial task in machine learning with various applications, such as detecting emerging diseases, identifying financial frauds, and detecting fake news.

Supervised Anomaly Detection Time Series +2

Label Confusion Learning to Enhance Text Classification Models

1 code implementation9 Dec 2020 Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

LCM can learn label confusion to capture semantic overlap among labels by calculating the similarity between instances and labels during training and generate a better label distribution to replace the original one-hot label vector, thus improving the final classification performance.

General Classification text-classification +1

Anomaly Detection with Score Distribution Discrimination

1 code implementation26 Jun 2023 Minqi Jiang, Songqiao Han, Hailiang Huang

In this paper, we propose to optimize the anomaly scoring function from the view of score distribution, thus better retaining the diversity and more fine-grained information of input data, especially when the unlabeled data contains anomaly noises in more practical AD scenarios.

Anomaly Detection

Selective Text Augmentation with Word Roles for Low-Resource Text Classification

1 code implementation4 Sep 2022 Biyang Guo, Songqiao Han, Hailiang Huang

Different words may play different roles in text classification, which inspires us to strategically select the proper roles for text augmentation.

Language Modelling Large Language Model +5

Enhancing Molecular Property Prediction via Mixture of Collaborative Experts

1 code implementation6 Dec 2023 Xu Yao, Shuang Liang, Songqiao Han, Hailiang Huang

To address data scarcity and imbalance in MPP, some studies have adopted Graph Neural Networks (GNN) as an encoder to extract commonalities from molecular graphs.

Decision Making Molecular Property Prediction +1

What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification

no code implementations1 Sep 2021 Biyang Guo, Sonqiao Han, Hailiang Huang

Text augmentation techniques are widely used in text classification problems to improve the performance of classifiers, especially in low-resource scenarios.

Text Augmentation text-classification +1

Neural News Recommendation with Event Extraction

no code implementations9 Nov 2021 Songqiao Han, Hailiang Huang, Jiangwei Liu

These methods encode news content on the word level and jointly train the attention parameters in the recommendation network, leading to more corpora being required to train the model.

Event Extraction News Recommendation

American Hate Crime Trends Prediction with Event Extraction

no code implementations9 Nov 2021 Songqiao Han, Hailiang Huang, Jiangwei Liu, Shengsheng Xiao

Social media platforms may provide potential space for discourses that contain hate speech, and even worse, can act as a propagation mechanism for hate crimes.

Event Extraction Hate Speech Detection +2

IDEA: Interactive DoublE Attentions from Label Embedding for Text Classification

no code implementations23 Sep 2022 Ziyuan Wang, Hailiang Huang, Songqiao Han

Current text classification methods typically encode the text merely into embedding before a naive or complicated classifier, which ignores the suggestive information contained in the label text.

text-classification Text Classification

RestGPT: Connecting Large Language Models with Real-World RESTful APIs

no code implementations11 Jun 2023 YiFan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian, Mingbo Song, Hailiang Huang, Cheng Li, Ke Wang, Rong Yao, Ye Tian, Sujian Li

To address the practical challenges of tackling complex instructions, we propose RestGPT, which exploits the power of LLMs and conducts a coarse-to-fine online planning mechanism to enhance the abilities of task decomposition and API selection.

Cannot find the paper you are looking for? You can Submit a new open access paper.