Search Results for author: Yu Xie

Found 22 papers, 12 papers with code

The Social Impact of Generative LLM-Based AI

no code implementations11 Oct 2024 Yu Xie, Sofia Avila

We conjecture the AI Revolution will likely give rise to a post-knowledge society in which knowledge per se will become less important than in today's world.

MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration

1 code implementation6 Oct 2024 Lai Wei, Wenkai Wang, Xiaoyu Shen, Yu Xie, Zhihao Fan, Xiaojin Zhang, Zhongyu Wei, Wei Chen

In recent advancements, multimodal large language models (MLLMs) have been fine-tuned on specific medical image datasets to address medical visual question answering (Med-VQA) tasks.

Medical Visual Question Answering Question Answering +1

A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class

no code implementations12 Aug 2024 Qian Qiao, Yu Xie, Shaoyao Huang, Fanzhang Li

First, we calculate the contrastive discriminative score for each local descriptor in the support class, and select discriminative local descriptors to form a support descriptor subset.

Classification Few-Shot Image Classification +1

DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training

1 code implementation1 Aug 2024 Yu Xie, Qian Qiao, Jun Gao, Tianxiang Wu, Jiaqing Fan, Yue Zhang, Jielei Zhang, Huyang Sun

Unfortunately, this denoising training method cannot be directly applied to text spotting tasks, as these tasks need to perform irregular shape detection tasks and more complex text recognition tasks than classification.

Denoising Graph Matching +4

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models

1 code implementation11 Jun 2024 Yu Liu, Lang Gao, Mingxin Yang, Yu Xie, Ping Chen, Xiaojin Zhang, Wei Chen

However, sound comprehensive research on detecting program vulnerabilities, a more specific task related to code, and evaluating the performance of LLMs in this more specialized scenario is still lacking.

Vulnerability Detection

StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning

2 code implementations CVPR 2023 Yuqian Fu, Yu Xie, Yanwei Fu, Yu-Gang Jiang

Thus, inspired by vanilla adversarial learning, a novel model-agnostic meta Style Adversarial training (StyleAdv) method together with a novel style adversarial attack method is proposed for CD-FSL.

Adversarial Attack cross-domain few-shot learning

ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning

1 code implementation11 Oct 2022 Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang

Concretely, to solve the data imbalance problem between the source data with sufficient examples and the auxiliary target data with limited examples, we build our model under the umbrella of multi-expert learning.

cross-domain few-shot learning Knowledge Distillation

A Block-Based Adaptive Decoupling Framework for Graph Neural Networks

1 code implementation Entropy 2022, 24(9), 1190; 2022 Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng

Graph neural networks (GNNs) with feature propagation have demonstrated their power in handling unstructured data.

Diversity

Physics-Informed Statistical Modeling for Wildfire Aerosols Process Using Multi-Source Geostationary Satellite Remote-Sensing Data Streams

1 code implementation23 Jun 2022 Guanzhou Wei, Venkat Krishnan, Yu Xie, Manajit Sengupta, Yingchen Zhang, Haitao Liao, Xiao Liu

Increasingly frequent wildfires significantly affect solar energy production as the atmospheric aerosols generated by wildfires diminish the incoming solar radiation to the earth.

Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning

1 code implementation15 Mar 2022 Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang

The key challenge of CD-FSL lies in the huge data shift between source and target domains, which is typically in the form of totally different visual styles.

cross-domain few-shot learning Self-Supervised Learning

Learning To Memorize Feature Hallucination for One-Shot Image Generation

no code implementations CVPR 2022 Yu Xie, Yanwei Fu, Ying Tai, Yun Cao, Junwei Zhu, Chengjie Wang

In this paper, we propose a novel model to explicitly learn and memorize reusable features that can help hallucinate novel category images.

Hallucination Image Generation

How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter

no code implementations25 Aug 2021 Gavin Cook, Junming Huang, Yu Xie

Past research has studied social determinants of attitudes toward foreign countries.

Multi-Party Dual Learning

no code implementations14 Apr 2021 Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong

The performance of machine learning algorithms heavily relies on the availability of a large amount of training data.

BIG-bench Machine Learning Self-Learning

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework

no code implementations14 Apr 2021 Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin

Since the existing naive model parameter averaging method is contradictory to the learning paradigm of neural networks, we simulate the process of human cognition and communication, and analogy multi-party learning as a many-to-one knowledge sharing problem.

Multitask machine learning of collective variables for enhanced sampling of rare events

no code implementations7 Dec 2020 Lixin Sun, Jonathan Vandermause, Simon Batzner, Yu Xie, David Clark, Wei Chen, Boris Kozinsky

Computing accurate reaction rates is a central challenge in computational chemistry and biology because of the high cost of free energy estimation with unbiased molecular dynamics.

BIG-bench Machine Learning Computational chemistry +1

Bayesian Force Fields from Active Learning for Simulation of Inter-Dimensional Transformation of Stanene

3 code implementations26 Aug 2020 Yu Xie, Jonathan Vandermause, Lixin Sun, Andrea Cepellotti, Boris Kozinsky

We present a way to dramatically accelerate Gaussian process models for interatomic force fields based on many-body kernels by mapping both forces and uncertainties onto functions of low-dimensional features.

Active Learning

A Survey on Dynamic Network Embedding

no code implementations15 Jun 2020 Yu Xie, Chunyi Li, Bin Yu, Chen Zhang, Zhouhua Tang

Real-world networks are composed of diverse interacting and evolving entities, while most of existing researches simply characterize them as particular static networks, without consideration of the evolution trend in dynamic networks.

Social and Information Networks Physics and Society

Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting

1 code implementation27 Nov 2019 Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng

Traffic forecasting is of great importance to transportation management and public safety, and very challenging due to the complicated spatial-temporal dependency and essential uncertainty brought about by the road network and traffic conditions.

Management

Cannot find the paper you are looking for? You can Submit a new open access paper.