Sirui Chen

Orcid: 0000-0001-7740-508X

According to our database1, Sirui Chen authored at least 56 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Self-Interested Coalitional Crowdsensing for Multi-Agent Interactive Environment Monitoring.
Sensors, January, 2024

A novel block-chain based secure cross-domain interaction approach for intelligent transportation systems.
Phys. Commun., 2024

From Imitation to Introspection: Probing Self-Consciousness in Language Models.
CoRR, 2024

ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback.
CoRR, 2024

Causal Evaluation of Language Models.
CoRR, 2024

SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty.
CoRR, 2024

One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting.
CoRR, 2024

From Speech to Data: Unraveling Google's Use of Voice Data for User Profiling.
CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.
CoRR, 2024

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.
CoRR, 2024

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ReCODE: Modeling Repeat Consumption with Neural ODE.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SIGformer: Sign-aware Graph Transformer for Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

CLEAR: Can Language Models Really Understand Causal Graphs?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways.
Soft Comput., November, 2023

Real-Time Model Predictive Control and System Identification Using Differentiable Simulation.
IEEE Robotics Autom. Lett., 2023

An Automatic Malaria Disease Diagnosis Framework Integrating Blockchain-Enabled Cloud-Edge Computing and Deep Learning.
IEEE Internet Things J., 2023

Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval.
CoRR, 2023

Tracking flow: Decoding dynamic flow experience on a sub-minute timescale through performance in fine fingertip force control task.
CoRR, 2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.
CoRR, 2023

Synthesize Dexterous Nonprehensile Pregrasp for Ungraspable Objects.
CoRR, 2023

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning.
CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
CoRR, 2023

Multi-Objective Order Scheduling via Reinforcement Learning.
Algorithms, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Synthesizing Dexterous Nonprehensile Pregrasp for Ungraspable Objects.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Novel Two-Stage Personalized Learning Path Recommendation Approach for E-learning.
Proceedings of the 15th International Conference on Education Technology and Computers, 2023

2022
An Intelligent Multisampling Tensor Model for Oral Cancer Classification.
IEEE Trans. Ind. Informatics, 2022

Optimal Operation of Microgrids Based on a Radial Basis Function Metamodel.
IEEE Syst. J., 2022

DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation With Differentiable Simulation.
IEEE Robotics Autom. Lett., 2022

An improved federated learning approach enhanced internet of health things framework for private decentralized distributed data.
Inf. Sci., 2022

A Robust Approach for Privacy Data Protection: IoT Security Assurance Using Generative Adversarial Imitation Learning.
IEEE Internet Things J., 2022

CEP3: Community Event Prediction with Neural Point Process on Graph.
CoRR, 2022

Real-time Model Predictive Control and System Identification Using Differentiable Physics Simulation.
CoRR, 2022

CEP3: Community Event Prediction With Neural Point Process on Graph.
Proceedings of the Learning on Graphs Conference, 2022

Design of a Deployable Cargo Vessel Based on Autonomous Surface Vehicle to Aid Offshore Maritime Shipping: A Robotic Solution for Insufficient Manpower in Maritime Shipping Industry Under Singapore's Context.
Proceedings of the 8th International Conference on Robotics and Artificial Intelligence, 2022

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

DiffSRL: Learning Dynamic-aware State Representation for Deformable Object Control with Differentiable Simulator.
CoRR, 2021

Identification Method of Electrical Load for Electrical Appliances Based on K-Means ++ and GCN.
IEEE Access, 2021

2020
Cross-Subject Seizure Detection in EEGs Using Deep Transfer Learning.
Comput. Math. Methods Medicine, 2020

Optimal Scheduling for Integrated Energy System Considering Scheduling Elasticity of Electric and Thermal Loads.
IEEE Access, 2020

A Deep Two-Stage Scheme for Polycrystalline Micro-Crack Detection.
Proceedings of the PRIS 2020: International Conference on Pattern Recognition and Intelligent Systems, 2020

The Design Research of Smart Product-Service System Oriented to User Experience.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.
Complex., 2019

DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation.
IEEE Access, 2019

A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification.
IEEE Access, 2019

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks.
IEEE Access, 2019

Lumen Contour Segmentation in IVOCT Based on N-type CNN.
IEEE Access, 2019

Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Nipple Detection in Mammogram Using a New Convolutional Neural Network Architecture.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
A Multi-Sensor Positioning Method-Based Train Localization System for Low Density Line.
IEEE Trans. Veh. Technol., 2018


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