A multi-strategy path planner based on space accessibility. - Meng Hang; Mengxiang Lin; Shangzhe Li; Zhixin Chen; Rong Ding (ROBIO, 2017)

Mining for the Preference of Funds based on Subgraph Embedding of Fund-Stock Networks. - Shangzhe Li; Xingkun Wang; Xin Jiang (CCCI, 2020)

Detection of Mutual Exciting Structure in Stock Price Trend Dynamics. - Shangzhe Li; Xin Jiang 008; Junran Wu; Lin Tong; Ke Xu 001 (Entropy, 2021)

Structural Entropy Guided Graph Hierarchical Pooling. - Junran Wu; Xueyuan Chen; Ke Xu 001; Shangzhe Li (ICML, 2022)

A Simple yet Effective Method for Graph Classification. - Junran Wu; Shangzhe Li; Jianhao Li; Yicheng Pan 001; Ke Xu 001 (IJCAI, 2022)

Price graphs: Utilizing the structural information of financial time series for stock prediction. - Junran Wu; Ke Xu 001; Xueyuan Chen; Shangzhe Li; Jichang Zhao (Inf. Sci., 2022)

Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction. - Shangzhe Li; Junran Wu; Xin Jiang 008; Ke Xu 001 (Knowl. Based Syst., 2022)

SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. - Junran Wu; Xueyuan Chen; Bowen Shi; Shangzhe Li; Ke Xu 001 (ICML, 2023)

Multimodal Feature Association-based Stereo Visual SLAM Method. - Shangzhe Li; Yafei Liu; Huiqing Wang; Xiaoguo Zhang (J. Intell. Robotic Syst., 2023)

IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction. - Ruomei Liu; Shangzhe Li; He Zhu; Yue Hou; Xingyu Peng; Haitao Yuan 002; Junran Wu; Ke Xu 001 (BIBM, 2024)

Uncovering Capabilities of Model Pruning in Graph Contrastive Learning. - Junran Wu; Xueyuan Chen; Shangzhe Li (ACM Multimedia, 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 001; Ke Xu 001 (NAACL-HLT, 2024)

Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching. - Shangzhe Li; Xinhua Zhang (CoRR, 2024)

Reward-free World Models for Online Imitation Learning. - Shangzhe Li; Zhiao Huang; Hao Su 001 (CoRR, 2024)

A Good View for Graph Contrastive Learning. - Xueyuan Chen; Shangzhe Li (Entropy, 2024)

Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence. - Shangzhe Li; Yingke Liu; Xueyuan Chen; Junran Wu; Ke Xu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Molecular graph contrastive learning with line graph. - Xueyuan Chen; Shangzhe Li; Ruomei Liu; Bowen Shi; Jiaheng Liu; Junran Wu; Ke Xu 001 (Pattern Recognit., 2025)

ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation. - Shangzhe Li; Yingke Liu; Fanglei Cheng; Junran Wu; Ke Xu 001 (Expert Syst. J. Knowl. Eng., 2025)

AFLaneNet: an attention-fused instance segmentation network for real-time lane detection. - Yafei Liu; Shangzhe Li; Tianyi Lu; Xiaojie Zou; Xiaoguo Zhang (Signal Image Video Process., 2025)

Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning. - Shangzhe Li; Zhiao Huang; Hao Su 001 (CoRR, 2025)

Language Model Distillation: A Temporal Difference Imitation Learning Perspective. - Zishun Yu; Shangzhe Li; Xinhua Zhang (CoRR, 2025)