Search Results for author: Hongyang Chen

Found 26 papers, 8 papers with code

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation

1 code implementation3 Mar 2024 Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He

Unsupervised Graph Domain Adaptation (UGDA) has emerged as a practical solution to transfer knowledge from a label-rich source graph to a completely unlabelled target graph.

Contrastive Learning Domain Adaptation

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text

1 code implementation NeurIPS 2023 Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Black-box hard-label adversarial attack on text is a practical and challenging task, as the text data space is inherently discrete and non-differentiable, and only the predicted label is accessible.

Adversarial Attack Hard-label Attack +5

Diffusion-based graph generative methods

1 code implementation28 Jan 2024 Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin

Being the most cutting-edge generative methods, diffusion methods have shown great advances in wide generation tasks.

Denoising Graph Generation

Scientific Large Language Models: A Survey on Biological & Chemical Domains

1 code implementation26 Jan 2024 Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence.

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation

1 code implementation5 Jan 2024 Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen

The second challenge involves accommodating molecule generation to diffusion and accurately predicting the existence of bonds.

3D Molecule Generation Denoising

Deep Learning Assisted Multiuser MIMO Load Modulated Systems for Enhanced Downlink mmWave Communications

no code implementations8 Nov 2023 Ercong Yu, Jinle Zhu, Qiang Li, Zilong Liu, Hongyang Chen, Shlomo Shamai, H. Vincent Poor

The existing precoding algorithm for downlink MU-LMA relies on a sub-array structured (SAS) transmitter which may suffer from decreased degrees of freedom and complex system configuration.

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors

no code implementations29 Oct 2023 Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang

Decision-based methods have shown to be effective in black-box adversarial attacks, as they can obtain satisfactory performance and only require to access the final model prediction.

Adversarial Attack

Graph Neural Architecture Search with GPT-4

no code implementations30 Sep 2023 Haishuai Wang, Yang Gao, Xin Zheng, Peng Zhang, Hongyang Chen, Jiajun Bu, Philip S. Yu

In this paper, we integrate GPT-4 into GNAS and propose a new GPT-4 based Graph Neural Architecture Search method (GPT4GNAS for short).

Neural Architecture Search

A comparative study of Grid and Natural sentences effects on Normal-to-Lombard conversion

no code implementations19 Sep 2023 Hongyang Chen, Yuhong Yang, Qingmu Liu, Baifeng Li, Weiping tu, Song Lin

Then We compare natural and grid sentences in terms of Lombard effect and Normal-to-Lombard conversion using LCT and Enhanced MAndarin Lombard Grid corpus (EMALG).


Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?

1 code implementation11 Sep 2023 Jingsong Lv, Hongyang Chen, Yao Qi, Lei Yu

Firstly, we define the first circle feature as modified swing for common graph, which comes from bipartite graph.

Link Prediction

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks

no code implementations4 Jul 2023 Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang

Then, we propose a novel framework to utilize the rich type semantic information in heterogeneous graphs comprehensively, namely HAGNN (Hybrid Aggregation for Heterogeneous GNNs).

Link Prediction Node Classification +1

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling

no code implementations20 Jun 2023 Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu

Recently, ChatGPT, a representative large language model (LLM), has gained considerable attention due to its powerful emergent abilities.

Knowledge Graphs Language Modelling +1

Graph Neural Processes for Spatio-Temporal Extrapolation

1 code implementation30 May 2023 Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann

We study the task of spatio-temporal extrapolation that generates data at target locations from surrounding contexts in a graph.

Gaussian Processes

Boosting Few-Shot Text Classification via Distribution Estimation

no code implementations26 Mar 2023 Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

Distribution estimation has been demonstrated as one of the most effective approaches in dealing with few-shot image classification, as the low-level patterns and underlying representations can be easily transferred across different tasks in computer vision domain.

Few-Shot Image Classification Few-Shot Text Classification +1

Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach

no code implementations15 Feb 2023 Shijing Yuan, Hongze Liu, Hongtao Lv, Zhanbo Feng, Jie Li, Hongyang Chen, Chentao Wu

To overcome these limitations, we propose a novel adaptive mechanism for cross-silo FL, towards incentivizing organizations to contribute data to maximize their long-term payoffs in a real dynamic training environment.

Federated Learning Multi-agent Reinforcement Learning

Intelligent Computing: The Latest Advances, Challenges and Future

no code implementations21 Nov 2022 Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gunduz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan

In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications.

LW-ISP: A Lightweight Model with ISP and Deep Learning

no code implementations8 Oct 2022 Hongyang Chen, Kaisheng Ma

The deep learning (DL)-based methods of low-level tasks have many advantages over the traditional camera in terms of hardware prospects, error accumulation and imaging effects.

Image Denoising

SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing

no code implementations24 Oct 2021 Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu

Extensive experiment based on real-word field deployment (on the highways in Shenzhen, China) shows that SenseMag significantly outperforms the existing methods in both classification accuracy and the granularity of vehicle types (i. e., 7 types by SenseMag versus 4 types by the existing work in comparisons).


Thompson Sampling for Unimodal Bandits

no code implementations15 Jun 2021 Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Shijian Li, Gang Pan, Hongyang Chen

In this paper, we propose a Thompson Sampling algorithm for \emph{unimodal} bandits, where the expected reward is unimodal over the partially ordered arms.

Thompson Sampling

Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation

no code implementations18 Sep 2020 Yi Yu, Tao Yang, Hongyang Chen, Rodrigo C. de Lamare, Yingsong Li

In this paper, we propose and analyze the sparsity-aware sign subband adaptive filtering with individual weighting factors (S-IWF-SSAF) algorithm, and consider its application in acoustic echo cancellation (AEC).

Acoustic echo cancellation

Machine Learning-based Signal Detection for PMH Signals in Load-modulated MIMO System

no code implementations24 Nov 2019 Jinle Zhu, Qiang Li, Li Hu, Hongyang Chen, Nirwan Ansari

By leveraging machine learning, the proposed detection scheme can accurately obtain information of the channel from a few of the received symbols with little resource cost and achieve comparable detection results as that of the optimal ML detector.

BIG-bench Machine Learning Clustering

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