Jing Ma
6 papers in the PaperMetrix corpus
Papers by this author
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Distributed Fusion Filter for Multi-rate Sampling Stochastic Singular Systems with Multiplicative Noises
2015 · International Journal of Multimedia and Ubiquitous Engineering
The distributed fusion filtering problem is studied for multi-rate sampling stochastic singular linear systems with multiple sensors and stochastic multiplicative noises. The system is described at the highest sampling rate and different sensors may have …
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Biphoton engineering using modal spatial overlap on-chip
2022 · Optics Letters
Photon pairs generated by spontaneous parametric downconversion are essential for optical quantum information processing, in which the quality of biphoton states is crucial for the performance. To engineer the biphoton wave function (BWF) on-chip, the …
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Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory
2023 · arXiv (Cornell University)
Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging to develop a magnon-based logic due to the lack of efficient electrical manipulation of …
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Enhancing Abstractive Dialogue Summarization with Internal Knowledge
2024
The task of dialogue summarization involves distilling a given dialogue into a concise and coherent summary. However, discrepancies in language styles between dialogues and summaries, scattered crucial information, incomplete utterances with ellipsis, and coreferences bring …
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AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
2024 · arXiv (Cornell University)
The impressive performance of proprietary LLMs like GPT4 in code generation has led to a trend to replicate these capabilities in open-source models through knowledge distillation (e.g. Code Evol-Instruct). However, these efforts often neglect the …
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OpenHAIV: A Framework Towards Practical Open-World Learning
2025 · arXiv (Cornell University)
Substantial progress has been made in various techniques for open-world recognition. Out-of-distribution (OOD) detection methods can effectively distinguish between known and unknown classes in the data, while incremental learning enables continuous model knowledge updates. However, …