Jinning Li
Orcid: 0000-0001-7424-4460
According to our database1,
Jinning Li
authored at least 34 papers
between 2018 and 2025.
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Bibliography
2025
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting.
IEEE Robotics Autom. Lett., February, 2025
2024
The Paradox of Information Access: On Modeling Polarization in the Age of Information.
IEEE Trans. Control. Netw. Syst., June, 2024
Cost Function Learning in Memorized Social Networks With Cognitive Behavioral Asymmetry.
IEEE Trans. Comput. Soc. Syst., February, 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning.
CoRR, 2024
Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning.
RLJ, 2024
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Thermal Removal Method for Chang'e-5 Multispectral Data Using a Heat Conduction Model and Real Terrain.
IEEE Trans. Geosci. Remote. Sens., 2023
Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking.
IEEE Trans. Intell. Transp. Syst., 2022
In-Flight Calibration of Visible and Near-Infrared Imaging Spectrometer (VNIS) Onboard Chang'E-4 Unmanned Lunar Rover.
IEEE Trans. Geosci. Remote. Sens., 2022
Temperature Correction and Result Evaluation of Lunar Mineralogical Spectrometer for Chang'E-5 Mission.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Robotics Autom. Lett., 2022
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning.
CoRR, 2021
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data.
CoRR, 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
IEEE Access, 2020
2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Proceedings of the Database and Expert Systems Applications, 2018