Hongyu Shan

According to our database, Hongyu Shan authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling.

Xiaoyu Liu, Di Liang, Hongyu Shan, Peiyang Liu, Yonghao Liu, Muling Wu, Yuntao Li, Xianjie Wu, LI Miao, Jiangrong Shen, Minlong Peng

CoRR, September, 2025

R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning.

Hongyu Shan, Mingyang Song, Chang Dai, Di Liang, Han Chen

CoRR, September, 2025

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models.

Chang Dai, Hongyu Shan, Mingyang Song, Di Liang

CoRR, September, 2025

2024

Unveiling the influence of behavioural, built environment and socio-economic features on the spatial and temporal variability of bus use using explainable machine learning.

Sui Tao, Francisco Rowe, Hongyu Shan

CoRR, 2024

2023

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval.

Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li

Proceedings of the ACM Web Conference 2023, 2023

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.

Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.

Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Modeling with Node Popularities for Autonomous Overlapping Community Detection.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang

ACM Trans. Intell. Syst. Technol., 2020

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.

Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang

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

2019

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019