Search Results for author: Kai Guo

Found 17 papers, 1 papers with code

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness

no code implementations16 Jul 2024 Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang

To address this gap, our work aims to explore the potential of LLMs in the context of adversarial attacks on graphs.

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective

no code implementations13 Feb 2024 Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang

These insights have empowered us to develop a novel GNN backbone model, DGAT, designed to harness the robust properties of both graph self-attention mechanism and the decoupled architecture.

Out-of-Distribution Generalization

Deterministic Computing Power Networking: Architecture, Technologies and Prospects

no code implementations31 Jan 2024 Qingmin Jia, Yujiao Hu, Xiaomao Zhou, Qianpiao Ma, Kai Guo, Huayu Zhang, Renchao Xie, Tao Huang, Yunjie Liu

With the development of new Internet services such as computation-intensive and delay-sensitive tasks, the traditional "Best Effort" network transmission mode has been greatly challenged.

EFL Students' Attitudes and Contradictions in a Machine-in-the-loop Activity System

no code implementations13 Jul 2023 David James Woo, Hengky Susanto, Kai Guo

This study applies Activity Theory and investigates the attitudes and contradictions of 67 English as a foreign language (EFL) students from four Hong Kong secondary schools towards machine-in-the-loop writing, where artificial intelligence (AI) suggests ideas during composition.

Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective

no code implementations1 Jun 2023 David James Woo, Kai Guo, Hengky Susanto

The study also identified common characteristics of students' activity systems, including the sophistication of their generative-AI tools, the quality of their stories, and their school's overall academic achievement level, for their prompting of generative-AI tools for the three purposes during short story writing.

Prompt Engineering

The Role of AI in Human-AI Creative Writing for Hong Kong Secondary Students

no code implementations21 Apr 2023 Hengky Susanto, David James Woo, Kai Guo

The recent advancement in Natural Language Processing (NLP) capability has led to the development of language models (e. g., ChatGPT) that is capable of generating human-like language.

Exploring AI-Generated Text in Student Writing: How Does AI Help?

no code implementations10 Mar 2023 David James Woo, Hengky Susanto, Chi Ho Yeung, Kai Guo, April Ka Yeng Fung

Human experts scored the stories for dimensions of content, language and organization.

Multi-head Uncertainty Inference for Adversarial Attack Detection

no code implementations20 Dec 2022 YuQi Yang, Songyun Yang, Jiyang Xie. Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang

We adopt a multi-head architecture with multiple prediction heads (i. e., classifiers) to obtain predictions from different depths in the DNNs and introduce shallow information for the UI.

Adversarial Attack Detection Adversarial Defense

Gated Recurrent Unit for Video Denoising

no code implementations17 Oct 2022 Kai Guo, Seungwon Choi, Jongseong Choi

First, the reset gate is employed to mark the content related to the current frame in the previous frame output.

Denoising Video Denoising

Understanding EFL Student Idea Generation Strategies for Creative Writing with NLG Tools

no code implementations4 Jun 2022 David James Woo, Yanzhi Wang, Hengky Susanto, Kai Guo

This study explores strategies adopted by EFL students when searching for ideas using NLG tools, evaluating ideas generated by NLG tools and selecting NLG tools for ideas generation.

Text Generation

Ternary and Binary Quantization for Improved Classification

no code implementations31 Mar 2022 Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

Furthermore, this quantization property could be maintained in the random projections of sparse features, if both the features and random projection matrices are sufficiently sparse.

Classification Dimensionality Reduction +1

Pedestrian Dead Reckoning System using Quasi-static Magnetic Field Detection

no code implementations24 Jan 2022 Liqiang Zhang, Kai Guo, Yu Liu

Kalman filter-based Inertial Navigation System (INS) is a reliable and efficient method to estimate the position of a pedestrian indoors.

Position valid

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks

no code implementations28 Oct 2021 Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang

In this paper, we investigate GNNs from the lens of weight and feature loss landscapes, i. e., the loss changes with respect to model weights and node features, respectively.

Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning

no code implementations20 Oct 2021 Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

In the letter, we show that target propagation could be achieved by modeling the network s each layer with compressed sensing, without the need of auxiliary networks.

Orthogonal Graph Neural Networks

1 code implementation23 Sep 2021 Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

Graph neural networks (GNNs) have received tremendous attention due to their superiority in learning node representations.

Attribute Graph Classification

Robust Full-FoV Depth Estimation in Tele-wide Camera System

no code implementations8 Sep 2019 Kai Guo, Seongwook Song, Soonkeun Chang, Tae-ui Kim, Seungmin Han, Irina Kim

In this paper, to address the above problems we propose a hierarchical hourglass network for robust full-FoV depth estimation in tele-wide camera system, which combines the robustness of traditional stereo-matching methods with the accuracy of DNN.

Decoder Depth Estimation +3

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