TensorD: A tensor decomposition library in TensorFlow. - Liyang Hao; Siqi Liang 001; Jinmian Ye; Zenglin Xu (Neurocomputing, 2018)

FedLab: A Flexible Federated Learning Framework. - Dun Zeng; Siqi Liang 001; Xiangjing Hu; Zenglin Xu (CoRR, 2021)

FedNoisy: Federated Noisy Label Learning Benchmark. - Siqi Liang 001; Jintao Huang; Dun Zeng; Junyuan Hong; Jiayu Zhou; Zenglin Xu (CoRR, 2023)

FedLab: A Flexible Federated Learning Framework. - Dun Zeng; Siqi Liang 001; Xiangjing Hu; Hui Wang 013; Zenglin Xu (J. Mach. Learn. Res., 2023)

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. - Bao Hoang; Yijiang Pang; Siqi Liang 001; Liang Zhan; Paul M. Thompson; Jiayu Zhou (KDD, 2024)

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. - Hoang Bao; Yijiang Pang; Siqi Liang 001; Liang Zhan; Paul M. Thompson; Jiayu Zhou (CoRR, 2024)

Distributed In-Context Learning under Non-IID Among Clients. - Siqi Liang 001; Sumyeong Ahn; Jiayu Zhou (CoRR, 2024)

Dual Debiasing for Noisy In-Context Learning for Text Generation. - Siqi Liang 001; Sumyeong Ahn; Paramveer Dhillon; Jiayu Zhou (ACL (Findings), 2025)