Siyuan Guo

Orcid: 0000-0002-9304-5405

According to our database1, Siyuan Guo authored at least 37 papers between 2018 and 2025.

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Bibliography

2025
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning.
CoRR, July, 2025

Do-PFN: In-Context Learning for Causal Effect Estimation.
CoRR, June, 2025

Counterfactual reasoning: an analysis of in-context emergence.
CoRR, June, 2025

Ambient haptics: bilateral interaction among human, machines and virtual/real environments in pervasive computing era.
CCF Trans. Pervasive Comput. Interact., June, 2025

Decision Flow Policy Optimization.
CoRR, May, 2025

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models.
CoRR, March, 2025

Effective and Explainable Molecular Property Prediction by Chain-of-Thought Enabled Large Language Models and Multi-Modal Molecular Information Fusion.
J. Chem. Inf. Model., 2025

M<sup>3</sup>-20M: A large-scale multi-modal molecule dataset for AI-driven drug design and discovery.
J. Bioinform. Comput. Biol., 2025

Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GBR-Sort: A Robust and Efficient Online Multi-Object Tracking Method for Campus Safety.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
Sample Efficient Offline-to-Online Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., March, 2024

Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules With Desirable Properties.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Self-triggered robust output feedback model predictive control of discrete-time linear systems.
Int. J. Control, 2024

LDDG: Long-distance dependent and dual-stream guided feature fusion network for co-saliency object detection.
Displays, 2024

Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs.
CoRR, 2024

Do Finetti: On Causal Effects for Exchangeable Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Out-of-Variable Generalisation for Discriminative Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mongolian Pronunciation Data Enhancement Method Based on Separation Contrast Learning.
Proceedings of the International Conference on Asian Language Processing, 2024

Pragmatic Fairness: Developing Policies with Outcome Disparity Control.
Proceedings of the Causal Learning and Reasoning, 2024

Research on Epidemic Tracking Method Based on Reinforcement Learning.
Proceedings of the 14th Asian Control Conference, 2024

CausalCite: A Causal Formulation of Paper Citations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A cascaded refined rgb-d salient object detection network based on the attention mechanism.
Appl. Intell., June, 2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.
CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR, 2023

Out-of-Variable Generalization.
CoRR, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Interventional Kullback-Leibler Divergence.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

Dataflow graphs as complete causal graphs.
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022
Fusing Geometric and Scene Information for Cross-View Geo-Localization.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network.
Inf. Sci., 2021

Automatic segmentation of bioabsorbable vascular stents in Intravascular optical coherence images using weakly supervised attention network.
Future Gener. Comput. Syst., 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2018
Analysis of frequency characteristic of surface permanent magnet synchronous machine.
Proceedings of the IEEE International Conference on Industrial Technology, 2018


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