Hengyu Liu

According to our database, Hengyu Liu authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

A probabilistic generative model for tracking multi-knowledge concept mastery probability.

Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu

Frontiers Comput. Sci., June, 2024

Marked Temporal Bayesian Flow Point Processes.

Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao

CoRR, 2024

Federated Neural Nonparametric Point Processes.

Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao

CoRR, 2024

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.

Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao

CoRR, 2024

2023

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing.

Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu

Frontiers Comput. Sci., December, 2023

A subspace constraint based approach for fast hierarchical graph embedding.

Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du

World Wide Web (WWW), September, 2023

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations.

Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang

CoRR, 2023

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset.

Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang

CoRR, 2023

GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

Jiayan Guo, Lun Du, Hengyu Liu

CoRR, 2023

2022

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.

Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao

CoRR, 2022

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.

Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima.

Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.

Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang

CoRR, 2021

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer.

Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu

IEEE Access, 2021

2018

ELM-based convolutional neural networks making move prediction in Go.

Xiangguo Zhao, Zhongyu Ma, Boyang Li, Zhen Zhang, Hengyu Liu

Soft Comput., 2018

An ELM-Based Ensemble Strategy for POI Recommendation.

Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu

Proceedings of ELM 2018, 2018