Yang Liu

According to our database, Yang Liu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction.

Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu

IEEE Trans. Knowl. Data Eng., December, 2024

A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis.

Shuhan Zhong, Sizhe Song, Weipeng Zhuo, Guanyao Li, Yang Liu, S.-H. Gary Chan

Proc. VLDB Endow., March, 2024

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model.

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

CoRR, 2024

Controllable Financial Market Generation with Diffusion Guided Meta Agent.

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian

CoRR, 2024

Experiences of Deploying a Citywide Crowdsourcing Platform to Search for Missing People with Dementia.

Xiubin Fan, Guanyao Li, Zhongming Lin, Yuming Hu, Yang Liu, Tianrui Jiang, Zhimeng Yin, Feng Qian, Shuai Wang, S.-H. Gary Chan

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

2023

A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting.

Guanyao Li, Shuhan Zhong, Xingdong Deng, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Yang Liu, Ming Zhang, Chih-Chieh Hung, Wen-Chih Peng

IEEE Trans. Knowl. Data Eng., November, 2023

Microstructure-Empowered Stock Factor Extraction and Utilization.

Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian

CoRR, 2023

Efficient Behavior-consistent Calibration for Multi-agent Market Simulation.

Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian

CoRR, 2023

2022

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction.

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Differential Operators for Interpretable Time Series Modeling.

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.

Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation.

Yang Liu, Zhi Li, Wei Huang, Tong Xu, En-Hong Chen

J. Comput. Sci. Technol., 2020

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach.

Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019

Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach.

Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019