TaiJiNet: Towards Partial Binarized Convolutional Neural Network for Embedded Systems. - Yingjian Ling; Kan Zhong; Yunsong Wu; Duo Liu; Jinting Ren; Renping Liu; Moming Duan; Weichen Liu; Liang Liang 002 (ISVLSI, 2018)

Reducing Write Amplification for Inodes of Journaling File System using Persistent Memory. - Chaoshu Yang; Duo Liu; Xianzhang Chen; Runyu Zhang 002; Wenbin Wang; Moming Duan; Yujuan Tan (DATE, 2019)

Astraea: Self-Balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications. - Moming Duan; Duo Liu; Xianzhang Chen; Yujuan Tan; Jinting Ren; Lei Qiao 002; Liang Liang 002 (ICCD, 2019)

Archivist: A Machine Learning Assisted Data Placement Mechanism for Hybrid Storage Systems. - Jinting Ren; Xianzhang Chen; Yujuan Tan; Duo Liu; Moming Duan; Liang Liang 002; Lei Qiao 002 (ICCD, 2019)

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications. - Moming Duan (CoRR, 2019)

FitCNN: A cloud-assisted and low-cost framework for updating CNNs on IoT devices. - Duo Liu; Chaoshu Yang; Shiming Li; Xianzhang Chen; Jinting Ren; Renping Liu; Moming Duan; Yujuan Tan; Liang Liang 002 (Future Gener. Comput. Syst., 2019)

FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data. - Moming Duan; Duo Liu; Xinyuan Ji; Renping Liu; Liang Liang 002; Xianzhang Chen; Yujuan Tan (CoRR, 2020)

Forseti: An Efficient Basic-block-level Sensitivity Analysis Framework Towards Multi-bit Faults. - Jinting Ren; Xianzhang Chen; Duo Liu; Moming Duan; Renping Liu; Chengliang Wang (DATE, 2021)

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. - Li Li; Moming Duan; Duo Liu; Yu Zhang 184; Ao Ren; Xianzhang Chen; Yujuan Tan; Chengliang Wang (IJCNN, 2021)

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. - Yu Zhang 184; Moming Duan; Duo Liu; Li Li; Ao Ren; Xianzhang Chen; Yujuan Tan; Chengliang Wang (IJCNN, 2021)

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering. - Moming Duan; Duo Liu; Xinyuan Ji; Renping Liu; Liang Liang 002; Xianzhang Chen; Yujuan Tan (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. - Moming Duan; Duo Liu; Xinyuan Ji; Yu Wu 016; Liang Liang 002; Xianzhang Chen; Yujuan Tan (CoRR, 2021)

A machine learning assisted data placement mechanism for hybrid storage systems. - Jinting Ren; Xianzhang Chen; Duo Liu; Yujuan Tan; Moming Duan; Ruolan Li; Liang Liang 002 (J. Syst. Archit., 2021)

Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems. - Moming Duan; Duo Liu; Xianzhang Chen; Renping Liu; Yujuan Tan; Liang Liang 002 (IEEE Trans. Parallel Distributed Syst., 2021)

Lazy repair with temporary redundancy(LRTR): reducing repair network traffic in erasure-coded storage. - Longpan Luo; Yujuan Tan; Duo Liu; Moming Duan; Weilue Wang; Yu Wu 016; Xianzhang Chen (CF, 2022)

Federated learning with workload-aware client scheduling in heterogeneous systems. - Li Li; Duo Liu; Moming Duan; Yu Zhang 184; Ao Ren; Xianzhang Chen; Yujuan Tan; Chengliang Wang (Neural Networks, 2022)

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. - Moming Duan; Duo Liu; Xinyuan Ji; Yu Wu 016; Liang Liang 002; Xianzhang Chen; Yujuan Tan; Ao Ren (IEEE Trans. Parallel Distributed Syst., 2022)

Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market. - Naibo Wang; Wenjie Feng 001; Fusheng Liu; Moming Duan; See-Kiong Ng (CoRR, 2023)

Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives. - Moming Duan (CoRR, 2023)

LFPR: A Lazy Fast Predictive Repair Strategy for Mobile Distributed Erasure Coded Cluster. - Yu Wu 016; Duo Liu; Yujuan Tan; Moming Duan; Longpan Luo; Weilve Wang; Xianzhang Chen (IEEE Internet Things J., 2023)

Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning. - Naibo Wang; Wenjie Feng 001; Yuchen Deng; Moming Duan; Fusheng Liu; See-Kiong Ng (Trans. Mach. Learn. Res., 2023)

FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. - Yu Zhang 184; Duo Liu; Moming Duan; Li Li; Xianzhang Chen; Ao Ren; Yujuan Tan; Chengliang Wang (IEEE Trans. Parallel Distributed Syst., 2023)

Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws. - Huachen Tan; Moming Duan; Duo Liu; Haojie Lu; Yuexin Mu; Longyi Zhou; Ao Ren; Yujuan Tan; Kan Zhong (ACML, 2024)

ModelGo: A Practical Tool for Machine Learning License Analysis. - Moming Duan; Qinbin Li; Bingsheng He (WWW, 2024)

"They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing. - Moming Duan; Rui Zhao 009; Linshan Jiang; Nigel Shadbolt; Bingsheng He (CoRR, 2024)

OFL-W3: A One-shot Federated Learning System on Web 3.0. - Linshan Jiang; Moming Duan; Bingsheng He; Yulin Sun; Peishen Yan; Yang Hua 001; Tao Song 003 (Proc. VLDB Endow., 2024)

MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search. - Binyan Zhang; Ao Ren; Zihao Zhang; Moming Duan; Duo Liu; Yujuan Tan; Kan Zhong (ICASSP, 2025)