Haoxin Liu

According to our database, Haoxin Liu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash

CoRR, 2024

Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection.

Haoxin Liu, Wenli Zhang, Jiaheng Xie, Buomsoo Kim, Zhu Zhang, Yidong Chai

CoRR, 2024

2023

A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation.

Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu

ACM Trans. Manag. Inf. Syst., June, 2023

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering.

Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Distributed Mechanism Design in Social Networks.

Haoxin Liu, Yao Zhang, Dengji Zhao

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

ASL-DWA: An Improved A-Star Algorithm for Indoor Cleaning Robots.

Haoxin Liu, Yonghui Zhang

IEEE Access, 2022

LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design.

Haoxin Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Unsupervised Domain Generalization.

Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation.

Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Exploiting local spatio-temporal characteristics for effective video understanding.

Tongcun Liu, Haoxin Liu, Yulong Wang

Multim. Tools Appl., 2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.

Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

CoRR, 2021

Signed Graph Neural Network with Latent Groups.

Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Resource Allocation Strategy of Edge Systems Based on Task Priority and an Optimal Integer Linear Programming Algorithm.

Daoquan Li, Yingnan Jin, Haoxin Liu

Symmetry, 2020

A Mapping Method for Indoor Mobile Robot.

Haoxin Liu, Yonghui Zhang, Yibo Cao

Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020