Search Results for author: Keke Tang

Found 13 papers, 0 papers with code

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

no code implementations27 Feb 2024 Le Cheng, Peican Zhu, Keke Tang, Chao GAO, Zhen Wang

In this paper, we address a more challenging task, rumor source detection with incomplete user data, and propose a novel framework, i. e., Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (GIN-SD), to tackle this challenge.

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding

no code implementations13 Jan 2024 Jie Tian, Jixin Hou, Zihao Wu, Peng Shu, Zhengliang Liu, Yujie Xiang, Beikang Gu, Nicholas Filla, Yiwei Li, Ning Liu, Xianyan Chen, Keke Tang, Tianming Liu, Xianqiao Wang

This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics.

Multiple-choice Prompt Engineering

Compactness Score: A Fast Filter Method for Unsupervised Feature Selection

no code implementations31 Jan 2022 Peican Zhu, Xin Hou, Keke Tang, Zhen Wang, Feiping Nie

For feature engineering, feature selection seems to be an important research content in which is anticipated to select "excellent" features from candidate ones.

Decision Making Dimensionality Reduction +2

Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services

no code implementations29 Aug 2021 Yining Huang, Shaoze Lin, Yijun Wei, Keke Tang

We propose a knowledge engine called Sinoledge mainly for doctors, physicians, and researchers in medical field to organize thoughts, manage reasoning process, test and deploy to production environments effortlessly.

Logical Reasoning

Category Disentangled Context: Turning Category-irrelevant Features Into Treasures

no code implementations1 Jan 2021 Keke Tang, Guodong Wei, Jie Zhu, Yuexin Ma, Runnan Chen, Zhaoquan Gu, Wenping Wang

Deep neural networks have achieved great success in computer vision, thanks to their ability in extracting category-relevant semantic features.

Image Classification

Decision Propagation Networks for Image Classification

no code implementations27 Nov 2019 Keke Tang, Peng Song, Yuexin Ma, Zhaoquan Gu, Yu Su, Zhihong Tian, Wenping Wang

High-level (e. g., semantic) features encoded in the latter layers of convolutional neural networks are extensively exploited for image classification, leaving low-level (e. g., color) features in the early layers underexplored.

Classification General Classification +1

Attending Category Disentangled Global Context for Image Classification

no code implementations17 Dec 2018 Keke Tang, Guodong Wei, Runnan Chen, Jie Zhu, Zhaoquan Gu, Wenping Wang

In this paper, we propose a general framework for image classification using the attention mechanism and global context, which could incorporate with various network architectures to improve their performance.

Classification General Classification +1

Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching

no code implementations26 Dec 2016 Keke Tang, Peng Song, Xiaoping Chen

Depth scans acquired from different views may contain nuisances such as noise, occlusion, and varying point density.

3D Object Recognition Denoising

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