Haoyu Han

According to our database, Haoyu Han authored at least 29 papers between 2019 and 2024.

Collaborative distances:

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

2024

Federated split learning for sequential data in satellite-terrestrial integrated networks.

Weiwei Jiang, Haoyu Han, Yang Zhang, Jianbin Mu

Inf. Fusion, March, 2024

Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach.

Weiwei Jiang, Yang Zhang, Haoyu Han, Zhaolong Huang, Qiting Li, Jianbin Mu

IEEE Trans. Consumer Electron., February, 2024

DelvMap: Completing Residential Roads in Maps Based on Couriers' Trajectories and Satellite Imagery.

Shuliang Wang, Ziyu Wang, Sijie Ruan, Haoyu Han, Keqin Xiong, Hanning Yuan, Ziqiang Yuan, Guoqing Li, Jie Bao, Yu Zheng

IEEE Trans. Geosci. Remote. Sens., 2024

ML-based pre-deployment SDN performance prediction with neural network boosting regression.

Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu

Expert Syst. Appl., 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.

Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang

CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang

CoRR, 2024

Mixture of Link Predictors.

Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang

CoRR, 2024

When game theory meets satellite communication networks: A survey.

Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu

Comput. Commun., 2024

On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up.

Haoyu Han, Heng Yang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference.

Shuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, Qi Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).

Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Drag-A-Video: Non-rigid Video Editing with Point-based Interaction.

Yao Teng, Enze Xie, Yue Wu, Haoyu Han, Zhenguo Li, Xihui Liu

CoRR, 2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

CoRR, 2023

Drought Level Prediction Based on Meteorological Data and Deep Learning.

Jiahua Liu, Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Satellite Internet of Things for Smart Agriculture Applications: A Case Study of Computer Vision.

Jiahua Liu, Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label Position Bias in Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large-Scale Graph Neural Networks: The Past and New Frontiers.

Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhancing Graph Representations Learning with Decorrelated Propagation.

Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.

Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu

Proceedings of the International Conference on Machine Learning, 2023

Alternately Optimized Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

Rise of Community-driven Communication Network Research.

Weiwei Jiang, Haoyu Han, Yang Zhang, Xu Li, Miao He, Weixi Gu

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

Matching Games in Satellite-Terrestrial Integrated Networks: Who to Match and How to Match?

Weiwei Jiang, Haoyu Han, Yang Zhang, Miao He, Weixi Gu

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network.

Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022

Alternately Optimized Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang

CoRR, 2022

2020

STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.

Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data.

Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019