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ORCIDHaoxin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j5]Yidong Chai
, Haoxin Liu, Hongyi Zhu, Yue Pan, Anqi Zhou, Hongyan Liu, Jianwei Liu, Yang Qian:
A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition. Inf. Manag. 61(7): 103922 (2024)- [c9]Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash:
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. ACL (Findings) 2024: 7832-7840 - [c8]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML 2024 - [i8]Haoxin Liu, Wenli Zhang, Jiaheng Xie, Buomsoo Kim, Zhu Zhang, Yidong Chai:
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection. CoRR abs/2401.12988 (2024) - [i7]Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash:
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. CoRR abs/2402.16132 (2024) - [i6]Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash:
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR abs/2406.08627 (2024) - [i5]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR abs/2406.09130 (2024) - [i4]Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - [i3]Haoxin Liu:
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction. CoRR abs/2410.21325 (2024) - 2023
- [j4]Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu:
A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. ACM Trans. Manag. Inf. Syst. 14(2): 19:1-19:21 (2023) - [c7]Haoxin Liu, Yao Zhang, Dengji Zhao:
Distributed Mechanism Design in Social Networks. AAMAS 2023: 1826-1834 - [c6]Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang:
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. WWW (Companion Volume) 2023: 376-380 - [i2]Haoxin Liu, Yao Zhang, Dengji Zhao:
Distributed Mechanism Design in Social Networks. CoRR abs/2303.03077 (2023) - 2022
- [j3]Haoxin Liu, Yonghui Zhang:
ASL-DWA: An Improved A-Star Algorithm for Indoor Cleaning Robots. IEEE Access 10: 99498-99515 (2022) - [c5]Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao:
Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation. DL4SR@CIKM 2022 - [c4]Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu:
Towards Unsupervised Domain Generalization. CVPR 2022: 4900-4910 - [c3]Haoxin Liu:
LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design. SIGIR 2022: 2680-2685 - 2021
- [j2]Tongcun Liu, Haoxin Liu, Yulong Wang:
Exploiting local spatio-temporal characteristics for effective video understanding. Multim. Tools Appl. 80(21): 31821-31836 (2021) - [c2]Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu:
Signed Graph Neural Network with Latent Groups. KDD 2021: 1066-1075 - [i1]Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu:
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR abs/2107.06219 (2021) - 2020
- [j1]Daoquan Li, Yingnan Jin, Haoxin Liu:
Resource Allocation Strategy of Edge Systems Based on Task Priority and an Optimal Integer Linear Programming Algorithm. Symmetry 12(6): 972 (2020) - [c1]Haoxin Liu, Yonghui Zhang, Yibo Cao:
A Mapping Method for Indoor Mobile Robot. CSAE 2020: 72:1-72:6
Coauthor Index
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