Xin Chen

A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets

2019

In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets. The proposed method mainly consists of three processes, including fuzzy sets generation using bootstrap, weighted combination of fuzzy …

Direct Temporal Mode Measurement for the Characterization of Temporally Multiplexed High Dimensional Quantum Entanglement in Continuous Variables

2020 · Physical Review Letters

Field-orthogonal temporal mode analysis of optical fields has recently been developed for a new framework of quantum information science. However, so far, the exact profiles of the temporal modes are not known, which makes it …

Curriculum Self-supervised Learning for Weakly-supervised Histopathological Image Segmentation

2021

Histopathological image segmentation is the basic upstream task of pathomics cancer research. However, acquiring pixel-level annotations is extremely difficult and time-consuming. Moreover, it is also expertise-dependent. Researchers pay a lot of attention on how to …

Innovative Design of a New Type of Civil Aviation Aircraft in the Epidemic Era

2022 · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems

the epidemic will accompany our lives for a long time, but the needs of economic development will continue to promote the development of the aviation industry. The delivery mode of traditional civil aviation aircraft can …

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

2023 · arXiv (Cornell University)

Recently years have witnessed a rapid development of large language models (LLMs). Despite the strong ability in many language-understanding tasks, the heavy computational burden largely restricts the application of LLMs especially when one needs to …

MotionChain: Conversational Motion Controllers via Multimodal Prompts

2024 · arXiv (Cornell University)

Recent advancements in language models have demonstrated their adeptness in conducting multi-turn dialogues and retaining conversational context. However, this proficiency remains largely unexplored in other multimodal generative models, particularly in human motion models. By integrating …

SciDFM: A Large Language Model with Mixture-of-Experts for Science

2024 · arXiv (Cornell University)

Recently, there has been a significant upsurge of interest in leveraging large language models (LLMs) to assist scientific discovery. However, most LLMs only focus on general science, while they lack domain-specific knowledge, such as chemical …

Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection

2024 · arXiv (Cornell University)

Due to the scarcity and unpredictable nature of defect samples, industrial anomaly detection (IAD) predominantly employs unsupervised learning. However, all unsupervised IAD methods face a common challenge: the inherent bias in normal samples, which causes …

Ekko: Fully Decentralized Scheduling for Serverless Edge Computing

2025

While originally designed for the cloud, the benefits of the serverless paradigm are vital in Edge/Fog computing environments. In this paper, we propose Ekko, a novel decentralized edge serverless scheduling system, which enables a large …

VO ₂ Nanoparticle‐Densely Packed Microwires for Flexible and Energy‐Efficient Photonic Synapses in Neuromorphic Computing

2026 · Laser & Photonics Review

ABSTRACT The growing demand for brain‐inspired computing in wearable electronics necessitates systems with high mechanical stability, biocompatibility, and low‐power processing. However, most existing neuromorphic technologies suffer from limited flexibility, reliance on ultraviolet light, and high …