Jue Wang
6 papers in the PaperMetrix corpus
Papers by this author
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Theoretical Analysis of a Possible Method to Quantum Communication of Exceed Velocity of Light
2017 · viXra
If the projection of two photon entangled state in two orthogonal state basis are not equal,the direction of observation of one photon would have influence on the probability distribution of the polarization state of the …
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GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
2019 · arXiv (Cornell University)
One-class learning is the classic problem of fitting a model to data for which annotations are available only for a single class. In this paper, we propose a novel objective for one-class learning. Our key …
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Categorization of tumor-derived cells from lung cancer with compact deep learning
2022 · Medical Imaging 2022: Computer-Aided Diagnosis
Cell characterization is key to research medical signaling of cancer-derived cells in the peripheral blood sample under the high-resolution fluorescence microscope. The task has been challenging with traditional image processing and machine learning techniques due …
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Mixture-of-Agents Enhances Large Language Model Capabilities
2024 · arXiv (Cornell University)
Recent advances in large language models (LLMs) demonstrate substantial capabilities in natural language understanding and generation tasks. With the growing number of LLMs, how to harness the collective expertise of multiple LLMs is an exciting …
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CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
2025 · IEEE Transactions on Knowledge and Data Engineering
Active learning (AL) reduces human annotation costs for machine learning systems by strategically selecting the most informative unlabeled data for annotation, but performing it individually may still be insufficient due to restricted data diversity and …
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Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
2020
Named entity recognition and relation extraction are two important fundamental problems. Joint learning algorithms have been proposed to solve both tasks simultaneously, and many of them cast the joint task as a table-filling problem. However, …