Cong Lu
Orcid: 0009-0009-9966-8847
According to our database1,
Cong Lu
authored at least 28 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Trans. Games, March, 2024
Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm.
Comput. Oper. Res., February, 2024
CoRR, 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control.
CoRR, 2024
2023
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins.
Patterns, July, 2023
Detecting Urban Anomalies Using Factor Analysis and One Class Support Vector Machine.
Comput. J., February, 2023
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations.
Trans. Mach. Learn. Res., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023
Data-driven delivery model for distributing daily necessities to residents in a specific emergency area.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023
2022
CoRR, 2022
Appl. Soft Comput., 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Automated Machine Learning, 2022
2021
J. Mach. Learn. Res., 2021
Interference-Based Consensus and Transaction Validation Mechanisms for Blockchain-Based Spectrum Management.
IEEE Access, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
Proceedings of the 38th International Conference on Machine Learning, 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment.
Proceedings of the 38th International Conference on Machine Learning, 2021
2012
Int. J. Mechatronics Autom., 2012
2009
Proceedings of the Eighth IEEE International Conference on Dependable, 2009