Hailiang Huang

According to our database, Hailiang Huang authored at least 28 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TSGym: Design Choices for Deep Multivariate Time-Series Forecasting.

Shuang Liang, Chaochuan Hou, Xu Yao, Shiping Wang, Minqi Jiang, Songqiao Han, Hailiang Huang

CoRR, September, 2025

CPJN: News recommendation with a content and popularity joint network.

Zixuan Chen, Songqiao Han, Hailiang Huang, You Wu

Neural Networks, 2025

2024

Core patent forecasting based on graph neural networks with an application in stock markets.

Songqiao Han, Hailiang Huang, Xiaohong Huang, Yanhong Li, Ruihua Yu, Jun Zhang

Technol. Anal. Strateg. Manag., August, 2024

Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs.

Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang

CoRR, 2024

Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs.

Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Single-machine scheduling with autonomous and induced learning to minimize total weighted number of tardy jobs.

Ke Chen, T. C. E. Cheng, Hailiang Huang, Min Ji, Danli Yao

Eur. J. Oper. Res., August, 2023

A Group-Dependent Due Window Assignment Scheduling Problem with Controllable Learning Effect.

Ke Chen, Songqiao Han, Hailiang Huang, Min Ji

Asia Pac. J. Oper. Res., June, 2023

Enhancing Molecular Property Prediction via Mixture of Collaborative Experts.

Xu Yao, Shuang Liang, Songqiao Han, Hailiang Huang

CoRR, 2023

Weakly Supervised Anomaly Detection: A Survey.

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

CoRR, 2023

ADGym: Design Choices for Deep Anomaly Detection.

Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anomaly Detection with Score Distribution Discrimination.

Minqi Jiang, Songqiao Han, Hailiang Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

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

Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen

CoRR, 2022

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

Biyang Guo, Songqiao Han, Hailiang Huang

CoRR, 2022

ADBench: Anomaly Detection Benchmark.

Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao

CoRR, 2022

ADBench: Anomaly Detection Benchmark.

Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

IDEA: Interactive Double Attentions from Label Embedding for Text Classification.

Ziyuan Wang, Hailiang Huang, Songqiao Han

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

An Empirical Cross Domain-Specific Entity Recognition with Domain Vector.

Wei Chen, Songqiao Han, Hailiang Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Neural News Recommendation with Event Extraction.

Songqiao Han, Hailiang Huang, Jiangwei Liu

CoRR, 2021

American Hate Crime Trends Prediction with Event Extraction.

Songqiao Han, Hailiang Huang, Jiangwei Liu, Shengsheng Xiao

CoRR, 2021

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

Biyang Guo, Songqiao Han, Hailiang Huang

CoRR, 2021

Label Confusion Learning to Enhance Text Classification Models.

Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Knowledge of words: An interpretable approach for personality recognition from social media.

Songqiao Han, Hailiang Huang, Yuqing Tang

Knowl. Based Syst., 2020

2019

F-PAD: Private Attribute Disclosure Risk Estimation in Online Social Networks.

Xiao Han, Hailiang Huang, Leye Wang

IEEE Trans. Dependable Secur. Comput., 2019

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning.

Xiao Han, Ruiqing Ding, Leye Wang, Hailiang Huang

CoRR, 2019

2018

An event-extraction approach for business analysis from online Chinese news.

Songqiao Han, Xiaoling Hao, Hailiang Huang

Electron. Commer. Res. Appl., 2018

2017

Deep Investment Behavior Profiling by Recurrent Neural Network in P2P Lending.

Xiao Han, Leye Wang, Hailiang Huang

Proceedings of the International Conference on Information Systems, 2017

2008

Web-based quotation system for stereolithography parts.

Hongbo Lan, Yucheng Ding, Jun Hong, Hailiang Huang, Bingheng Lu

Comput. Ind., 2008

2004

A web-based manufacturing service system for rapid product development.

Hongbo Lan, Yucheng Ding, Jun Hong, Hailiang Huang, Bingheng Lu

Comput. Ind., 2004