Hailiang Huang

33 papers A* 4A 1B 1C 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CPJN: News recommendation with a content and popularity joint network. Neural Networks Zixuan Chen, Songqiao Han, Hailiang Huang, You Wu
2025	J	`jnl`	StockMem: An Event-Reflection Memory Framework for Stock Forecasting. CoRR He Wang, Wenyilin Xiao, Songqiao Han, Hailiang Huang
2025	J	`jnl`	TSGym: Design Choices for Deep Multivariate Time-Series Forecasting. CoRR Shuang Liang, Chaochuan Hou, Xu Yao, Shiping Wang, Minqi Jiang, Songqiao Han, Hailiang Huang
2024	J	`jnl`	Core patent forecasting based on graph neural networks with an application in stock markets. Technol. Anal. Strateg. Manag. Songqiao Han, Hailiang Huang, Xiaohong Huang, Yanhong Li, Ruihua Yu, Jun Zhang
2024	J	`jnl`	Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs. CoRR Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang
2024	—	`conf`	Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs. EMNLP (Industry Track) Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang
2023	J	`jnl`	A Group-Dependent Due Window Assignment Scheduling Problem with Controllable Learning Effect. Asia Pac. J. Oper. Res. Ke Chen, Songqiao Han, Hailiang Huang, Min Ji
2023	A*	`conf`	ADGym: Design Choices for Deep Anomaly Detection. NeurIPS Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023	J	`jnl`	ADGym: Design Choices for Deep Anomaly Detection. CoRR Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023	A*	`conf`	Anomaly Detection with Score Distribution Discrimination. KDD Minqi Jiang, Songqiao Han, Hailiang Huang
2023	J	`jnl`	Anomaly Detection with Score Distribution Discrimination. CoRR Minqi Jiang, Songqiao Han, Hailiang Huang
2023	J	`jnl`	Enhancing Molecular Property Prediction via Mixture of Collaborative Experts. CoRR Xu Yao, Shuang Liang, Songqiao Han, Hailiang Huang
2023	J	`jnl`	Single-machine scheduling with autonomous and induced learning to minimize total weighted number of tardy jobs. Eur. J. Oper. Res. Ke Chen, T. C. E. Cheng, Hailiang Huang, Min Ji, Danli Yao
2023	J	`jnl`	Weakly Supervised Anomaly Detection: A Survey. CoRR Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao
2022	A*	`conf`	ADBench: Anomaly Detection Benchmark. NeurIPS Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao
2022	J	`jnl`	ADBench: Anomaly Detection Benchmark. CoRR Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao
2022	A	`conf`	An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. CIKM Wei Chen, Songqiao Han, Hailiang Huang
2022	J	`jnl`	GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation. CoRR Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen
2022	J	`jnl`	IDEA: Interactive DoublE Attentions from Label Embedding for Text Classification. CoRR Ziyuan Wang, Hailiang Huang, Songqiao Han
2022	B	`conf`	IDEA: Interactive Double Attentions from Label Embedding for Text Classification. ICTAI Ziyuan Wang, Hailiang Huang, Songqiao Han
2022	J	`jnl`	Selective Text Augmentation with Word Roles for Low-Resource Text Classification. CoRR Biyang Guo, Songqiao Han, Hailiang Huang
2021	J	`jnl`	American Hate Crime Trends Prediction with Event Extraction. CoRR Songqiao Han, Hailiang Huang, Jiangwei Liu, Shengsheng Xiao
2021	A*	`conf`	Label Confusion Learning to Enhance Text Classification Models. AAAI Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu
2021	J	`jnl`	Neural News Recommendation with Event Extraction. CoRR Songqiao Han, Hailiang Huang, Jiangwei Liu
2021	J	`jnl`	What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification. CoRR Biyang Guo, Songqiao Han, Hailiang Huang
2020	J	`jnl`	Knowledge of words: An interpretable approach for personality recognition from social media. Knowl. Based Syst. Songqiao Han, Hailiang Huang, Yuqing Tang
2020	J	`jnl`	Label Confusion Learning to Enhance Text Classification Models. CoRR Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu
2019	J	`jnl`	CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning. CoRR Xiao Han, Ruiqing Ding, Leye Wang, Hailiang Huang
2019	J	`jnl`	F-PAD: Private Attribute Disclosure Risk Estimation in Online Social Networks. IEEE Trans. Dependable Secur. Comput. Xiao Han, Hailiang Huang, Leye Wang
2018	J	`jnl`	An event-extraction approach for business analysis from online Chinese news. Electron. Commer. Res. Appl. Songqiao Han, Xiaoling Hao, Hailiang Huang
2017	C	`conf`	Deep Investment Behavior Profiling by Recurrent Neural Network in P2P Lending. ICIS Xiao Han, Leye Wang, Hailiang Huang
2008	J	`jnl`	Web-based quotation system for stereolithography parts. Comput. Ind. Hongbo Lan, Yucheng Ding, Jun Hong, Hailiang Huang, Bingheng Lu
2004	J	`jnl`	A web-based manufacturing service system for rapid product development. Comput. Ind. Hongbo Lan, Yucheng Ding, Jun Hong, Hailiang Huang, Bingheng Lu