Shangzhe Li

38 papers A* 6Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Future fund holding prediction based on dynamic time-differential fund-asset networks.
Appl. Soft Comput.
Shangzhe Li, Yingke Liu, Xueyuan Chen, Xin Jiang, Junran Wu, Ke Xu
2026 J jnl
Imitation from Observations with Trajectory-Level Generative Embeddings.
CoRR
Yongtao Qu, Shangzhe Li, Weitong Zhang
2026 A* conf
Language Model Distillation: A Temporal Difference Imitation Learning Perspective.
AAAI
Zishun Yu, Shangzhe Li, Xinhua Zhang
2026 J jnl
Uncovering capabilities of hash function in graph classification.
Pattern Recognit.
Yingke Liu, Shangzhe Li, Bowen Shi, Junran Wu
2026 J jnl
Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning.
CoRR
Shangzhe Li, Xuchao Zhang, Chetan Bansal, Weitong Zhang
2025 J jnl
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models.
CoRR
Yilin Wang, Shangzhe Li, Haoyi Niu, Zhiao Huang, Weitong Zhang, Hao Su
2025 J jnl
AFLaneNet: an attention-fused instance segmentation network for real-time lane detection.
Signal Image Video Process.
Yafei Liu, Shangzhe Li, Tianyi Lu, Xiaojie Zou, Xiaoguo Zhang
2025 J jnl
ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation.
Expert Syst. J. Knowl. Eng.
Shangzhe Li, Yingke Liu, Fanglei Cheng, Junran Wu, Ke Xu
2025 J jnl
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning.
CoRR
Shangzhe Li, Zhiao Huang, Hao Su
2025 J jnl
Language Model Distillation: A Temporal Difference Imitation Learning Perspective.
CoRR
Zishun Yu, Shangzhe Li, Xinhua Zhang
2025 J jnl
Molecular Graph Contrastive Learning with Line Graph.
CoRR
Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2025 J jnl
Molecular graph contrastive learning with line graph.
Pattern Recognit.
Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2025 J jnl
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning.
CoRR
Shangzhe Li, Dongruo Zhou, Weitong Zhang
2025 J jnl
Quantile Q-Learning: Revisiting Offline Extreme Q-Learning with Quantile Regression.
CoRR
Xinming Gao, Shangzhe Li, Yujin Cai, Wenwu Yu
2025 A* conf
Reward-free World Models for Online Imitation Learning.
ICML
Shangzhe Li, Zhiao Huang, Hao Su
2025 J jnl
SuperMPFL: A Supermask-Based Mechanism for Personalized Federated Learning.
IEEE Trans. Netw. Serv. Manag.
Zhe Sun, Shangzhe Li, Lihua Yin, Yahong Chen, Aohai Zhang, Meifan Zhang, Yuanyuan He
2024 J jnl
A Good View for Graph Contrastive Learning.
Entropy
Xueyuan Chen, Shangzhe Li
2024 J jnl
Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching.
CoRR
Shangzhe Li, Xinhua Zhang
2024 J jnl
Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence.
IEEE Trans. Knowl. Data Eng.
Shangzhe Li, Yingke Liu, Xueyuan Chen, Junran Wu, Ke Xu
2024 — conf
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.
NAACL-HLT
He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu
2024 J jnl
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.
CoRR
He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu
2024 — conf
IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction.
BIBM
Ruomei Liu, Shangzhe Li, He Zhu, Yue Hou, Xingyu Peng, Haitao Yuan, Junran Wu, Ke Xu
2024 J jnl
Reward-free World Models for Online Imitation Learning.
CoRR
Shangzhe Li, Zhiao Huang, Hao Su
2024 A* conf
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning.
ACM Multimedia
Junran Wu, Xueyuan Chen, Shangzhe Li
2024 J jnl
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning.
CoRR
Junran Wu, Xueyuan Chen, Shangzhe Li
2023 J jnl
Multimodal Feature Association-based Stereo Visual SLAM Method.
J. Intell. Robotic Syst.
Shangzhe Li, Yafei Liu, Huiqing Wang, Xiaoguo Zhang
2023 A* conf
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.
ICML
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
2023 J jnl
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.
CoRR
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
2022 A* conf
A Simple yet Effective Method for Graph Classification.
IJCAI
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
2022 J jnl
A Simple yet Effective Method for Graph Classification.
CoRR
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
2022 J jnl
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction.
Knowl. Based Syst.
Shangzhe Li, Junran Wu, Xin Jiang, Ke Xu
2022 J jnl
Price graphs: Utilizing the structural information of financial time series for stock prediction.
Inf. Sci.
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
2022 A* conf
Structural Entropy Guided Graph Hierarchical Pooling.
ICML
Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
2022 J jnl
Structural Entropy Guided Graph Hierarchical Pooling.
CoRR
Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
2021 J jnl
Detection of Mutual Exciting Structure in Stock Price Trend Dynamics.
Entropy
Shangzhe Li, Xin Jiang, Junran Wu, Lin Tong, Ke Xu
2021 J jnl
Price graphs: Utilizing the structural information of financial time series for stock prediction.
CoRR
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
2020 — conf
Mining for the Preference of Funds based on Subgraph Embedding of Fund-Stock Networks.
CCCI
Shangzhe Li, Xingkun Wang, Xin Jiang
2017 — conf
A multi-strategy path planner based on space accessibility.
ROBIO
Meng Hang, Mengxiang Lin, Shangzhe Li, Zhixin Chen, Rong Ding