Hao Feng

According to our database, Hao Feng authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention.

Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Efficient Unsupervised Graph Embedding with Attributed Graph Reduction and Dual-Level Loss: (Extended Abstract).

Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Efficient Unsupervised Graph Embedding With Attributed Graph Reduction and Dual-Level Loss.

Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen

IEEE Trans. Knowl. Data Eng., December, 2024

Temporal Graph Generation Featuring Time-Bound Communities.

Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs.

Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs.

Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Time-topology analysis on temporal graphs.

Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu

VLDB J., July, 2023

Learning Adaptive Node Embeddings Across Graphs.

Gaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He, Philip S. Yu

IEEE Trans. Knowl. Data Eng., June, 2023

Fast Unsupervised Graph Embedding via Graph Zoom Learning.

Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search.

Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Time-Topology Analysis.

Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu

Proc. VLDB Endow., 2021

FastSNG: The Fastest Social Network Dataset Generator.

Binbin Wang, Chaokun Wang, Hao Feng

Proceedings of the Companion of The Web Conference 2021, 2021

UniTest: A Universal Testing Framework for Database Management Systems.

Gengyuan Shi, Chaokun Wang, Bingyang Huang, Hao Feng, Binbin Wang

Proceedings of the Database Systems for Advanced Applications, 2021