Jingshu Peng

According to our database, Jingshu Peng authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis.

Jiayong Qin, Xianyu Zhu, Qiyu Liu, Guangyi Zhang, Zhigang Cai, Jianwei Liao, Sha Hu, Jingshu Peng, Yingxia Shao, Lei Chen

CoRR, June, 2025

From Sancus to Sancus^q: staleness and quantization-aware full-graph decentralized training in graph neural networks.

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

VLDB J., March, 2025

N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning.

Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang, Yan Zhou, Lei Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BitTuner: A Toolbox for Automatically Configuring Learned Data Compressors.

Qiyu Liu, Yuxin Luo, Mengke Cui, Siyuan Han, Jingshu Peng, Jin Li, Lei Chen

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.

Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learned Data Compression: Challenges and Opportunities for the Future.

Qiyu Liu, Siyuan Han, Jianwei Liao, Jin Li, Jingshu Peng, Jun Du, Lei Chen

CoRR, 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