Jingshu Peng

According to our database, Jingshu Peng authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Why Are Learned Indexes So Effective but Sometimes Ineffective?

Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen

CoRR, 2024

Automate Strategy Finding with LLM in Quant investment.

Zhizhuo Kou, Holam Yu, Jingshu Peng, Lei Chen

CoRR, 2024

UniCL: A Universal Contrastive Learning Framework for Large Time Series Models.

Jiawei Li, Jingshu Peng, Haoyang Li, Lei Chen

CoRR, 2024

InLN: Knowledge-aware Incremental Leveling Network for Dynamic Advertising.

Xujia Li, Jingshu Peng, Lei Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

HXPY: A High-Performance Data Processing Package for Financial Time-Series Data.

Jiadong Guo, Jingshu Peng, Hang Yuan, Lionel Ming-shuan Ni

J. Comput. Sci. Technol., February, 2023

Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract).

Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks.

Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao

Proc. VLDB Endow., 2022

2021

GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks.

Jingshu Peng, Yanyan Shen, Lei Chen

Proceedings of the IEEE International Conference on Data Mining, 2021

2018

Transfer Learning via Feature Isomorphism Discovery.

Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018