Jun Feng
8 papers in the PaperMetrix corpus
Papers by this author
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Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems
2018 · IEEE Transactions on Sustainable Computing
Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers, and things. Outsourcing computation to the cloud can offer resources-constrained enterprises and consumers sustainable computing in CPSS. However, ensuring the security of data in such …
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Personalized exercise recommendation via implicit skills
2019 · Proceedings of the ACM Turing Celebration Conference - China
Cognitive diagnosis methods need to assess the students' skills to provide personalized exercise recommendation. To perform this assessment, an initially hand built Q-matrix are presented to students, which would affect the recommendation results in intelligence …
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A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis
2020 · IEEE Transactions on Computational Biology and Bioinformatics
Diagnostic pathology is the foundation and gold standard for identifying carcinomas, and the accurate quantification of pathological images can provide objective clues for pathologists to make more convincing diagnosis. Recently, the encoder-decoder architectures (EDAs) of …
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Tensor-Based GAN to Defense Adversarial Attacks for Cyber-Physical-Social System
2021 · IEEE Transactions on Network Science and Engineering
In recent years, considerable achievements made by scientists in artificial intelligence have provided strong support for the development of Cyber-Physical-Social-Systems. Meanwhile, deep computation to realize AI is widely used in various applications, such as object …
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Distant Supervision Relation Extraction via Reinforcement Learning with Potential Energy Function
2021
Distant supervision has become an essential method for relation extraction. Although distant supervision is very effective, there is a large amount of noise in the dataset produced by distant supervision. To filter out the noise …
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Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation
2022 · 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Although deep convolution neural networks (DC-NNs) can achieve remarkable success on medical image segmentation, their performance might significantly deteriorate when confronting testing data with the new distribution. Recent studies suggest that one major cause of …
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Focus-aware Response Generation in Inquiry Conversation
2023
Inquiry conversation is a common form of conversation that aims to complete the investigation (e.g., court hearing, medical consultation and police interrogation) during which a series of focus shifts occurs. While many models have been …
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Reinforcement Learning for Relation Classification from Noisy Data
2018 · arXiv (Cornell University)
Existing relation classification methods that rely on distant supervision assume that a bag of sentences mentioning an entity pair are all describing a relation for the entity pair. Such methods, performing classification at the bag …