Haoxin Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Mechanism Design

Prediction Markets

Top Venues

ACM Trans. Manag. Inf. Syst.

Multim. Tools Appl.

Publications

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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
Haoxin Liu, Yao Zhang, Dengji Zhao
Distributed Mechanism Design in Social Networks. AAMAS (2023)
Haoxin Liu, Yao Zhang, Dengji Zhao
Distributed Mechanism Design in Social Networks. CoRR (2023)
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) (2023)
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)
Haoxin Liu, Yonghui Zhang
ASL-DWA: An Improved A-Star Algorithm for Indoor Cleaning Robots. IEEE Access 10 (2022)
Haoxin Liu
LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design. SIGIR (2022)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Towards Unsupervised Domain Generalization. CVPR (2022)
Tongcun Liu, Haoxin Liu, Yulong Wang
Exploiting local spatio-temporal characteristics for effective video understanding. Multim. Tools Appl. 80 (21) (2021)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR (2021)
Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu
Signed Graph Neural Network with Latent Groups. KDD (2021)
Haoxin Liu, Yonghui Zhang, Yibo Cao
A Mapping Method for Indoor Mobile Robot. CSAE (2020)
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) (2020)