Search Results for author: Bowen Xu

Found 21 papers, 8 papers with code

NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion

1 code implementation15 Jan 2025 Zihao Xu, Yuzhi Tang, Bowen Xu, Qingquan Li

To address this, we propose a diffusion model guided by neural operators for continuous remote sensing image super-resolution (NeurOp-Diff).

Denoising Image Super-Resolution

LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems

no code implementations2 Aug 2024 Zhensu Sun, Haotian Zhu, Bowen Xu, Xiaoning Du, Li Li, David Lo

Inspired by their remarkable capabilities in understanding and generating code, we propose to deal with the runtime errors in a real-time manner using LLMs.

Mixture-of-Instructions: Comprehensive Alignment of a Large Language Model through the Mixture of Diverse System Prompting Instructions

no code implementations29 Apr 2024 Bowen Xu, Shaoyu Wu, Kai Liu, Lulu Hu

With the proliferation of large language models (LLMs), the comprehensive alignment of such models across multiple tasks has emerged as a critical area of research.

Language Modeling Language Modelling +2

What is Meant by AGI? On the Definition of Artificial General Intelligence

no code implementations16 Apr 2024 Bowen Xu

This paper aims to establish a consensus on AGI's definition.

Patched Line Segment Learning for Vector Road Mapping

no code implementations6 Sep 2023 Jiakun Xu, Bowen Xu, Gui-Song Xia, Liang Dong, Nan Xue

In our experiments, we demonstrate how an effective representation of a road graph significantly enhances the performance of vector road mapping on established benchmarks, without requiring extensive modifications to the neural network architecture.

On the Robustness of Object Detection Models on Aerial Images

1 code implementation29 Aug 2023 Haodong He, Jian Ding, Bowen Xu, Gui-Song Xia

The benchmarks we propose and our comprehensive experimental analyses can facilitate research on robust object detection on aerial images.

Data Augmentation Object +3

A Brain-Inspired Sequence Learning Model based on a Logic

1 code implementation24 Aug 2023 Bowen Xu

In Artificial Intelligence, sequence prediction task is usually used to test a sequence learning model.

Multi-Granularity Detector for Vulnerability Fixes

2 code implementations23 May 2023 Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach D. Le, David Lo

To address these challenges and boost the effectiveness of prior works, we propose MiDas (Multi-Granularity Detector for Vulnerability Fixes).

Simulation of Non-inductive Vector Control of Permanent Magnet Synchronous Motor Based on Sliding Mode Observer

no code implementations6 May 2023 Caiyue Zhang, Zipin Liu, Bowen Xu

In this study, a mathematical model for sensorless control of a PMSM is developed using SMO, vector control, and other techniques.

Position

Minimal-time Deadbeat Consensus and Individual Disagreement Degree Prediction for High-order Linear Multi-agent Systems

no code implementations13 Apr 2023 Fu-Long Hu, Hai-Tao Zhang, Bowen Xu, Zhe Hu, Wei Ren

Sufficient conditions are derived to guarantee both the minimal-time deadbeat consensus and the instant individual disagreement degree prediction.

Prediction Value prediction

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code

no code implementations8 Mar 2023 Aftab Hussain, Md Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour

In this paper, we explore the impact of an unsuperivsed feature enrichment approach based on variable roles on the performance of neural models of code.

Feature Engineering

Efficient Teacher: Semi-Supervised Object Detection for YOLOv5

4 code implementations15 Feb 2023 Bowen Xu, Mingtao Chen, Wenlong Guan, Lulu Hu

The Pseudo Label Assigner prevents the occurrence of bias caused by a large number of low-quality pseudo labels that may interfere with the Dense Detector during the student-teacher mutual learning mechanism, and the Epoch Adaptor utilizes domain and distribution adaptation to allow Dense Detector to learn globally distributed consistent features, making the training independent of the proportion of labeled data.

Object object-detection +3

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets

1 code implementation7 Oct 2022 Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang

Our experiments conducted on four tasks and four offline RL algorithms expose a disquieting fact: none of the existing offline RL algorithms is immune to such a backdoor attack.

Autonomous Driving Backdoor Attack +4

Accurate Polygonal Mapping of Buildings in Satellite Imagery

1 code implementation1 Aug 2022 Bowen Xu, Jiakun Xu, Nan Xue, Gui-Song Xia

We addressed such an issue by exploiting the hierarchical supervision (of bottom-level vertices, mid-level line segments and the high-level regional masks) and proposed a novel interaction mechanism of feature embedding sourced from different levels of supervision signals to obtain reversible building masks for polygonal mapping of buildings.

Artificial Open World for Evaluating AGI: a Conceptual Design

no code implementations2 Jun 2022 Bowen Xu, Quansheng Ren

However, once a developer tests and debugs the agent with a problem, the never-encountered problem becomes the encountered problem, as a result, the problem is solved by the developers to some extent, exploiting their experience, rather than the agents.

Detecting False Data Injection Attacks in Smart Grids with Modeling Errors: A Deep Transfer Learning Based Approach

no code implementations9 Apr 2021 Bowen Xu, Fanghong Guo, Changyun Wen, Ruilong Deng, Wen-An Zhang

In this paper, an illustrative case has revealed that modeling errors in transmission lines significantly weaken the detection effectiveness of conventional FDIA approaches.

Transfer Learning

4D Attention-based Neural Network for EEG Emotion Recognition

no code implementations14 Jan 2021 Guowen Xiao, Mengwen Ye, Bowen Xu, Zhendi Chen, Quansheng Ren

The experimental results have shown the effectiveness of the attention mechanisms in different domains for EEG emotion recognition.

Brain Computer Interface EEG +1

Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models

no code implementations3 May 2019 Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour

The proposed dataset Stack Overflow is a useful resource to develop novel solutions, specifically data-hungry neural network models, for the prediction of relatedness in technical community question-answering forums.

Community Question Answering Multi-class Classification

Three Mechanisms of Weight Decay Regularization

no code implementations ICLR 2019 Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger Grosse

Weight decay is one of the standard tricks in the neural network toolbox, but the reasons for its regularization effect are poorly understood, and recent results have cast doubt on the traditional interpretation in terms of $L_2$ regularization.

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