A web-based manufacturing service system for rapid product development. - Hongbo Lan; Yucheng Ding; Jun Hong 002; Hailiang Huang 003; Bingheng Lu (Comput. Ind., 2004)

Web-based quotation system for stereolithography parts. - Hongbo Lan; Yucheng Ding; Jun Hong 002; Hailiang Huang 003; Bingheng Lu (Comput. Ind., 2008)

Deep Investment Behavior Profiling by Recurrent Neural Network in P2P Lending. - Xiao Han 001; Leye Wang; Hailiang Huang 003 (ICIS, 2017)

An event-extraction approach for business analysis from online Chinese news. - Songqiao Han; Xiaoling Hao; Hailiang Huang 003 (Electron. Commer. Res. Appl., 2018)

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning. - Xiao Han 001; Ruiqing Ding; Leye Wang; Hailiang Huang 003 (CoRR, 2019)

F-PAD: Private Attribute Disclosure Risk Estimation in Online Social Networks. - Xiao Han 001; Hailiang Huang 003; Leye Wang (IEEE Trans. Dependable Secur. Comput., 2019)

Knowledge of words: An interpretable approach for personality recognition from social media. - Songqiao Han; Hailiang Huang 003; Yuqing Tang (Knowl. Based Syst., 2020)

Label Confusion Learning to Enhance Text Classification Models. - Biyang Guo; Songqiao Han; Xiao Han 001; Hailiang Huang 003; Ting Lu (AAAI, 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 003 (CoRR, 2021)

American Hate Crime Trends Prediction with Event Extraction. - Songqiao Han; Hailiang Huang 003; Jiangwei Liu; Shengsheng Xiao (CoRR, 2021)

Neural News Recommendation with Event Extraction. - Songqiao Han; Hailiang Huang 003; Jiangwei Liu (CoRR, 2021)

An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. - Wei Chen; Songqiao Han; Hailiang Huang 003 (CIKM, 2022)

IDEA: Interactive Double Attentions from Label Embedding for Text Classification. - Ziyuan Wang; Hailiang Huang 003; Songqiao Han (ICTAI, 2022)

ADBench: Anomaly Detection Benchmark. - Songqiao Han; Xiyang Hu; Hailiang Huang 003; Minqi Jiang; Yue Zhao 016 (NeurIPS, 2022)

ADBench: Anomaly Detection Benchmark. - Songqiao Han; Xiyang Hu; Hailiang Huang 003; Mingqi Jiang; Yue Zhao 016 (CoRR, 2022)

Selective Text Augmentation with Word Roles for Low-Resource Text Classification. - Biyang Guo; Songqiao Han; Hailiang Huang 003 (CoRR, 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 003; Nan Duan; Weizhu Chen (CoRR, 2022)

Anomaly Detection with Score Distribution Discrimination. - Minqi Jiang; Songqiao Han; Hailiang Huang 003 (KDD, 2023)

ADGym: Design Choices for Deep Anomaly Detection. - Minqi Jiang; Chaochuan Hou; Ao Zheng; Songqiao Han; Hailiang Huang 003; Qingsong Wen; Xiyang Hu; Yue Zhao 016 (NeurIPS, 2023)

Weakly Supervised Anomaly Detection: A Survey. - Minqi Jiang; Chaochuan Hou; Ao Zheng; Xiyang Hu; Songqiao Han; Hailiang Huang 003; Xiangnan He 001; Philip S. Yu; Yue Zhao 016 (CoRR, 2023)

Enhancing Molecular Property Prediction via Mixture of Collaborative Experts. - Xu Yao; Shuang Liang; Songqiao Han; Hailiang Huang 003 (CoRR, 2023)

A Group-Dependent Due Window Assignment Scheduling Problem with Controllable Learning Effect. - Ke Chen; Songqiao Han; Hailiang Huang 003; Min Ji 001 (Asia Pac. J. Oper. Res., 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 003; Min Ji 001; Danli Yao (Eur. J. Oper. Res., 2023)

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 003 (EMNLP (Industry Track), 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 003 (CoRR, 2024)

Core patent forecasting based on graph neural networks with an application in stock markets. - Songqiao Han; Hailiang Huang 003; Xiaohong Huang; Yanhong Li; Ruihua Yu; Jun Zhang (Technol. Anal. Strateg. Manag., 2024)

CPJN: News recommendation with a content and popularity joint network. - Zixuan Chen; Songqiao Han; Hailiang Huang 003; You Wu (Neural Networks, 2025)

TSGym: Design Choices for Deep Multivariate Time-Series Forecasting. - Shuang Liang; Chaochuan Hou; Xu Yao; Shiping Wang; Minqi Jiang; Songqiao Han; Hailiang Huang 003 (CoRR, 2025)