Shuqi Li
Orcid: 0009-0006-8074-3243Affiliations:
- King Abdullah University of Science and Technology (KAUST), Thuwal, Saudia Arabia
- Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
According to our database1,
Shuqi Li authored at least 14 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
MagicNet: Memory-Aware Graph Interactive Causal Network for Multivariate Stock Price Movement Prediction.
IEEE Trans. Knowl. Data Eng., April, 2025
CoRR, February, 2025
MIN: Multi-Channel Interaction Network for Drug-Target Interaction With Protein Distillation.
IEEE Trans. Comput. Biol. Bioinform., 2025
2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction.
CoRR, 2024
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers.
CoRR, 2024
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations.
CoRR, 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
FlexiQA: Leveraging LLM's Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2020
Exploring the Relationship among Predictability, Prediction Accuracy and Data Frequency of Financial Time Series.
Entropy, 2020
Fractional frequency hybrid model based on EEMD for financial time series forecasting.
Commun. Nonlinear Sci. Numer. Simul., 2020