Shangzhe Li

According to our database, Shangzhe Li authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Good View for Graph Contrastive Learning.

Xueyuan Chen, Shangzhe Li

Entropy, March, 2024

Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching.

Shangzhe Li, Xinhua Zhang

CoRR, 2024

HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.

He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Uncovering Capabilities of Model Pruning in Graph Contrastive Learning.

Junran Wu, Xueyuan Chen, Shangzhe Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Multimodal Feature Association-based Stereo Visual SLAM Method.

Shangzhe Li, Yafei Liu, Huiqing Wang, Xiaoguo Zhang

J. Intell. Robotic Syst., October, 2023

SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.

Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu

Proceedings of the International Conference on Machine Learning, 2023

2022

Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction.

Shangzhe Li, Junran Wu, Xin Jiang, Ke Xu

Knowl. Based Syst., 2022

Price graphs: Utilizing the structural information of financial time series for stock prediction.

Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao

Inf. Sci., 2022

A Simple yet Effective Method for Graph Classification.

Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Structural Entropy Guided Graph Hierarchical Pooling.

Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li

Proceedings of the International Conference on Machine Learning, 2022

2021

Detection of Mutual Exciting Structure in Stock Price Trend Dynamics.

Shangzhe Li, Xin Jiang, Junran Wu, Lin Tong, Ke Xu

Entropy, 2021

2020

Mining for the Preference of Funds based on Subgraph Embedding of Fund-Stock Networks.

Shangzhe Li, Xingkun Wang, Xin Jiang

Proceedings of the International Conference on Communications, 2020

2017

A multi-strategy path planner based on space accessibility.

Meng Hang, Mengxiang Lin, Shangzhe Li, Zhixin Chen, Rong Ding

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017