Pengpeng Shao

According to our database, Pengpeng Shao authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-level graph contrastive learning.

Pengpeng Shao, Jianhua Tao

Neurocomputing, February, 2024

Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction.

Pengpeng Shao, Yang Wen, Jianhua Tao

Neural Networks, 2024

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models.

Jinyang Wu, Feihu Che, Chuyuan Zhang, Jianhua Tao, Shuai Zhang, Pengpeng Shao

CoRR, 2024

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms.

Xiao Wang, Shiao Wang, Pengpeng Shao, Bo Jiang, Lin Zhu, Yonghong Tian

CoRR, 2024

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition.

Lan Chen, Dong Li, Xiao Wang, Pengpeng Shao, Wei Zhang, Yaowei Wang, Yonghong Tian, Jin Tang

CoRR, 2024

Can large language models understand uncommon meanings of common words?

Jinyang Wu, Feihu Che, Xinxin Zheng, Shuai Zhang, Ruihan Jin, Shuai Nie, Pengpeng Shao, Jianhua Tao

CoRR, 2024

2023

Adaptive pseudo-Siamese policy network for temporal knowledge prediction.

Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, Jianhua Tao

Neural Networks, March, 2023

Hierarchical graph attention network for temporal knowledge graph reasoning.

Pengpeng Shao, Jiayi He, Guanjun Li, Dawei Zhang, Jianhua Tao

Neurocomputing, 2023

2022

Tucker decomposition-based temporal knowledge graph completion.

Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu

Knowl. Based Syst., 2022

MixKG: Mixing for harder negative samples in knowledge graph.

Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, Jianhua Tao

CoRR, 2022

2021

Multi-Level Graph Contrastive Learning.

Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang

CoRR, 2021

2020

Self-supervised Graph Representation Learning via Bootstrapping.

Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu

CoRR, 2020

Improving iForest for Hydrological Time Series Anomaly Detection.

Pengpeng Shao, Feng Ye, Zihao Liu, Xiwen Wang, Ming Lu, Yupeng Mao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019

Fast RGB-T Tracking via Cross-Modal Correlation Filters.

Sulan Zhai, Pengpeng Shao, Xinyan Liang, Xin Wang

Neurocomputing, 2019