Reinforcement-learning based portfolio management with augmented asset movement prediction states
- Yunan Ye
- Hengzhi Pei
- et al.
- 2020
- AAAI 2020
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43 results for Yada Zhu
Towards fine-grained temporal network representation via time-reinforced random walk
- Zhining Liu
- Dawei Zhou
- et al.
- 2020
- AAAI 2020
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning
- Pei Yang
- Hasan Davulcu
- et al.
- 2016
- IEEE TKDE
Robust embedded deep K-means clustering
- Rui Zhang
- Yinglong Xia
- et al.
- 2019
- CIKM 2019
Learning from multi-modality multi-resolution data: An optimization approach
- Yada Zhu
- Jianbo Li
- et al.
- 2017
- SDM 2017
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- Dingsu Wang
- Yuchen Yan
- et al.
- 2023
- KDD 2023
Stock Price Volatility Prediction: A Case Study with AutoML
- Hilal Pataci
- Yannis Katsis
- et al.
- 2022
- FinNLP 2022
Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment
- Di Chen
- Yada Zhu
- et al.
- 2022
- ICAIF 2022
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series
- Shibal Ibrahim
- Wenyu Chen
- et al.
- 2022
- ICAIF 2022
Contrastive Learning with Complex Heterogeneity
- Lecheng Zheng
- Jinjun Xiong
- et al.
- 2022
- KDD 2022