Ke Feng
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Robust bipedal walking control through a privileged learning-based, hierarchical imitation learning method.
Neural Comput. Appl., March, 2026
TF-CoDiT: Conditional Time Series Synthesis with Diffusion Transformers for Treasury Futures.
CoRR, January, 2026
IEEE Trans. Wirel. Commun., 2026
Hierarchical domain-physical topology enhanced Fully-Connected Spatial-Temporal Graph Neural Network for remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2026
2025
IEEE Trans. Green Commun. Netw., December, 2025
CoRR, November, 2025
OIG-Bench: A Multi-Agent Annotated Benchmark for Multimodal One-Image Guides Understanding.
CoRR, October, 2025
Proceedings of the Data Compression Conference, 2025
2024
The double-feature extraction method based on slope entropy and symbolic dynamic entropy for the fault diagnosis of rolling bearing.
Signal Image Video Process., 2024
Teaching Resource Recommendation of Online Sports Collaborative Learning Platform Based on Optimized K-means Algorithm.
Scalable Comput. Pract. Exp., 2024
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2024
SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation.
Comput. Biol. Medicine, 2024
Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Methodology Metadata-driven Knowledge Production Charac-teristics Identification by Knowledge Retrieval and Mining.
Proceedings of the 7th International Conference on Data Science and Information Technology, 2024
2023
Gene regulatory network inference based on causal discovery integrating with graph neural network.
Quant. Biol., December, 2023
Appl. Intell., November, 2023
Big Data Min. Anal., March, 2023
LncTarD 2.0: an updated comprehensive database for experimentally-supported functional lncRNA-target regulations in human diseases.
Nucleic Acids Res., January, 2023
Database J. Biol. Databases Curation, 2023
2022
TS-SHES: Terrain Segmentation in Complex-Valued PolSAR Images Via Scattering Harmonization and Explicit Supervision.
IEEE Trans. Geosci. Remote. Sens., 2022
TradeBot: Bandit learning for hyper-parameters optimization of high frequency trading strategy.
Pattern Recognit., 2022
Personalized User Profiles-based Insider Threat Detection for Distributed File System.
Proceedings of the IEEE International Conference on Trust, 2022
2021
Int. J. Pattern Recognit. Artif. Intell., 2021
An Efficient Ciphertext Retrieval Scheme Based on Homomorphic Encryption for Multiple Data Owners in Hybrid Cloud.
IEEE Access, 2021
A Deep Reinforcement Learning-Based Approach to the Scheduling of Multiple Workflows on Non-dedicated Edge Servers.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021
FMSM: A Fuzzy Multi-keyword Search Scheme for Encrypted Cloud Data based on Multi-chain Network.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021
2020
ENdb: a manually curated database of experimentally supported enhancers for human and mouse.
Nucleic Acids Res., 2020
Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020
2017
Singularity avoidance of 6R decoupled manipulator using improved Gaussian distribution damped reciprocal algorithm.
Ind. Robot, 2017
2016
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016
2013
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013
2012
IEEE Trans. Biomed. Eng., 2012
2002
Proceedings of the 7th IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS 2002), 2002