Peng Pu

According to our database, Peng Pu authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Personalized Question Answering with User Profile Generation and Compression.

Hang Su, Yun Yang, Tianyang Liu, Xin Liu, Peng Pu, Xuesong Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Intent Based Knowledge Graph Aware Recommender System with Causal Inference.

Qigong Bi, Yun Yang, Yongliang Ding, Peng Pu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Multi-omic Analyses Shed Light on The Genetic Control of High-altitude Adaptation in Sheep.

Chao Li, Bingchun Chen, Suo Langda, Peng Pu, Xiaojia Zhu, Shiwei Zhou, Peter Kalds, Ke Zhang, Meenu Bhati, Alexander S. Leonard, Shuhong Huang, Ran Li, Awang Cuoji, Xiran Wang, Haolin Zhu, Yujiang Wu, Renqin Cuomu, Ba Gui, Ming Li, Yutao Wang, Yan Li, Wenwen Fang, Ting Jia, Tianchun Pu, Xiangyu Pan, Yudong Cai, Chong He, Liming Wang, Yu Jiang, Jian-Lin Han, Yulin Chen, Ping Zhou, Hubert Pausch, Xiaolong Wang

Genom. Proteom. Bioinform., 2024

DeepMRA: An Efficient Microservices Resource Allocation Framework with Deep Reinforcement Learning in the Cloud.

Qi Si, Jilin Shi, Weiyi Li, Xuesong Lu, Peng Pu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

BotHawk: An Approach for Bots Detection in Open Source Software Projects.

Fenglin Bi, Zhiwei Zhu, Wei Wang, Xiaoya Xia, Hassan Ali Khan, Peng Pu

CoRR, 2023

2022

DeepLRA: An Efficient Long Running Application Scheduling Framework with Deep Reinforcement Learning in the Cloud.

Qi Si, Xuesong Lu, Weiyi Li, Peng Pu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

2021

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform.

Wei Wang, Xuesong Lu, Bo Huang, Weining Qian, Cheqing Jin, Peng Pu, Wenxin Hu, Yao Liu, Aoying Zhou, Xuan Zhou

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2018

RLS: An efficient time series clustering method based on u-shapelets.

Qinghong Meng, Peng Pu

Intell. Data Anal., 2018