Transfer Learning via Feature Isomorphism Discovery. - Shimin Di; Jingshu Peng; Yanyan Shen; Lei Chen 002 (KDD, 2018)

GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks. - Jingshu Peng; Yanyan Shen; Lei Chen 002 (ICDM, 2021)

SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks. - Jingshu Peng; Zhao Chen 003; Yingxia Shao; Yanyan Shen; Lei Chen 002; Jiannong Cao 001 (Proc. VLDB Endow., 2022)

Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract). - Jingshu Peng; Zhao Chen 003; Yingxia Shao; Yanyan Shen; Lei Chen 002; Jiannong Cao 001 (IJCAI, 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., 2023)

InLN: Knowledge-aware Incremental Leveling Network for Dynamic Advertising. - Xujia Li; Jingshu Peng; Lei Chen 002 (KDD, 2024)

UniCL: A Universal Contrastive Learning Framework for Large Time Series Models. - Jiawei Li; Jingshu Peng; Haoyang Li 002; Lei Chen 002 (CoRR, 2024)

Automate Strategy Finding with LLM in Quant investment. - Zhizhuo Kou; Holam Yu; Jingshu Peng; Lei Chen 002 (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 002 (CoRR, 2024)

Learned Data Compression: Challenges and Opportunities for the Future. - Qiyu Liu; Siyuan Han; Jianwei Liao 001; Jin Li; Jingshu Peng; Jun Du; Lei Chen 002 (CoRR, 2024)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. - Junyu Luo 002; Zhizhuo Kou; Liming Yang; Xiao Luo 001; Jinsheng Huang; Zhiping Xiao 001; Jingshu Peng; Chengzhong Liu; Jiaming Ji; Xuanzhe Liu; Sirui Han; Ming Zhang 004; et al. (ACL (1), 2025)

BitTuner: A Toolbox for Automatically Configuring Learned Data Compressors. - Qiyu Liu; Yuxin Luo; Mengke Cui; Siyuan Han; Jingshu Peng; Jin Li; Lei Chen (ICDE, 2025)

N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning. - Liping Wang 015; Xujia Li; Jingshu Peng; Yue Wang 012; Chen Zhang 010; Yan Zhou; Lei Chen 002 (ICLR, 2025)

From Sancus to Sancusq: staleness and quantization-aware full-graph decentralized training in graph neural networks. - Jingshu Peng; Qiyu Liu; Zhao Chen 003; Yingxia Shao; Yanyan Shen; Lei Chen 002; Jiannong Cao 001 (VLDB J., 2025)

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis. - Jiayong Qin; Xianyu Zhu; Qiyu Liu; Guangyi Zhang; Zhigang Cai; Jianwei Liao 001; Sha Hu; Jingshu Peng; Yingxia Shao; Lei Chen 002 (CoRR, 2025)