AppDNA: App Behavior Profiling via Graph-based Deep Learning. - Shuangshuang Xue; Lan Zhang 002; Anran Li 001; Xiang-Yang Li 001; Chaoyi Ruan; Wenchao Huang 001 (INFOCOM, 2018)

TODQA: Efficient Task-Oriented Data Quality Assessment. - Anran Li 001; Lan Zhang 002; Jianwei Qian; Xiang Xiao; Xiang-Yang Li 001; Yunting Xie (MSN, 2019)

IEye: Personalized Image Privacy Detection. - Rui Jiao; Lan Zhang 002; Anran Li 001 (BigCom, 2020)

Efficient Federated-Learning Model Debugging. - Anran Li 001; Lan Zhang 002; Junhao Wang; Juntao Tan; Feng Han; Yaxuan Qin; Nikolaos M. Freris; Xiang-Yang Li 001 (ICDE, 2021)

Sample-level Data Selection for Federated Learning. - Anran Li 001; Lan Zhang 002; Juntao Tan; Yaxuan Qin; Junhao Wang; Xiang-Yang Li 001 (INFOCOM, 2021)

Residue-based Label Protection Mechanisms in Vertical Logistic Regression. - Juntao Tan; Lan Zhang 002; Yang Liu 003; Anran Li 001; Ye Wu (BigCom, 2022)

Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. - Junhao Wang; Lan Zhang 002; Anran Li 001; Xuanke You; Haoran Cheng (ICDE, 2022)

A Unified Guaranteed Impression Allocation Framework for Online Display Advertising. - Hong Zhang; Lan Zhang 002; Ju Huang; Anran Li 001; Haoran Cheng; Dongbo Huang; Lan Xu (ICDM, 2022)

AppDNA: Profiling App Behavior via Deep-Learning Function Call Graphs. - Anran Li 001; Shuangshuang Xue; Xiang-Yang Li 001; Lan Zhang 002; Jianwei Qian (IEEE Trans. Emerg. Top. Comput., 2022)

Privacy-Preserving Efficient Federated-Learning Model Debugging. - Anran Li 001; Lan Zhang 002; Junhao Wang; Feng Han; Xiang-Yang Li 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Federated IoT Interaction Vulnerability Analysis. - Guangjing Wang 001; Hanqing Guo; Anran Li 001; Xiaorui Liu; Qiben Yan (ICDE, 2023)

Fairness via Group Contribution Matching. - Tianlin Li; Zhiming Li; Anran Li 001; Mengnan Du; Aishan Liu; Qing Guo 005; Guozhu Meng; Yang Liu 003 (IJCAI, 2023)

FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. - Anran Li 001; Hongyi Peng; Lan Zhang 002; Jiahui Huang; Qing Guo 005; Han Yu 001; Yang Liu 003 (INFOCOM, 2023)

Adaptive and Efficient Participant Selection in Vertical Federated Learning. - Jiahui Huang; Lan Zhang 002; Anran Li 001; Haoran Cheng; Jiexin Xu; Hongmei Song (MSN, 2023)

GFL: Federated Learning on Non-IID Data via Privacy-Preserving Synthetic Data. - Yihang Cheng 002; Lan Zhang 002; Anran Li 001 (PERCOM, 2023)

Learning Program Representations with a Tree-Structured Transformer. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Anran Li 001; Zhi Jin; Yang Liu 003 (SANER, 2023)

Towards Interpretable Federated Learning. - Anran Li 001; Rui Liu 034; Ming Hu 003; Luu Anh Tuan; Han Yu 001 (CoRR, 2023)

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. - Wenhan Wang; Yanzhou Li; Anran Li 001; Jian Zhang 087; Wei Ma; Yang Liu 003 (CoRR, 2023)

FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. - Anran Li 001; Yue Cao; Jiabao Guo; Hongyi Peng; Qing Guo 005; Han Yu 001 (Proc. ACM Manag. Data, 2023)

FedMut: Generalized Federated Learning via Stochastic Mutation. - Ming Hu 003; Yue Cao; Anran Li 001; Zhiming Li; Chengwei Liu; Tianlin Li; Mingsong Chen 001; Yang Liu 003 (AAAI, 2024)

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. - Ming Hu 003; Peiheng Zhou; Zhihao Yue; Zhiwei Ling; Yihao Huang 001; Anran Li 001; Yang Liu 003; Xiang Lian 001; Mingsong Chen 001 (ICDE, 2024)

An Empirical Study on Noisy Label Learning for Program Understanding. - Wenhan Wang; Yanzhou Li; Anran Li 001; Jian Zhang 087; Wei Ma; Yang Liu 003 (ICSE, 2024)

Dual Calibration-based Personalised Federated Learning. - Xiaoli Tang 001; Han Yu 001; Run Tang; Chao Ren 006; Anran Li 001; Xiaoxiao Li (IJCAI, 2024)

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. - Jian Zhang 087; Chong Wang 013; Anran Li 001; Wenhan Wang; Tianlin Li; Yang Liu 003 (ASE, 2024)

An Empirical Study of Automated Vulnerability Localization with Large Language Models. - Jian Zhang 087; Chong Wang 013; Anran Li 001; Weisong Sun; Cen Zhang; Wei Ma; Yang Liu 003 (CoRR, 2024)

KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. - Zeke Xia; Ming Hu 003; Dengke Yan; Ruixuan Liu; Anran Li 001; Xiaofei Xie; Mingsong Chen 001 (CoRR, 2024)

Advances and Open Challenges in Federated Learning with Foundation Models. - Chao Ren 006; Han Yu 001; Hongyi Peng; Xiaoli Tang 001; Anran Li 001; Yulan Gao; Alysa Ziying Tan; Bo Zhao; Xiaoxiao Li; Zengxiang Li; Qiang Yang 001 (CoRR, 2024)

Federated Graph Learning with Adaptive Importance-based Sampling. - Anran Li 001; Yuanyuan Chen; Chao Ren 006; Wenhan Wang; Ming Hu 003; Tianlin Li; Han Yu 001; Qingyu Chen (CoRR, 2024)

Aggregating intrinsic information to enhance BCI performance through federated learning. - Rui Liu 034; Yuanyuan Chen; Anran Li 001; Yi Ding 012; Han Yu 001; Cuntai Guan (Neural Networks, 2024)

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. - Anran Li 001; Yuanyuan Chen; Jian Zhang 087; Mingfei Cheng; Yihao Huang 001; Yueming Wu 001; Anh Tuan Luu; Han Yu 001 (Proc. ACM Manag. Data, 2024)

Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning. - Anran Li 001; Jiahui Huang; Ju Jia; Hongyi Peng; Lan Zhang 002; Luu Anh Tuan; Han Yu 001; Xiang-Yang Li 001 (IEEE Trans. Mob. Comput., 2024)

FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. - Zekai Chen; Chentao Jia; Ming Hu 003; Xiaofei Xie; Anran Li 001; Mingsong Chen 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. - Zeke Xia; Ming Hu 003; Dengke Yan; Xiaofei Xie; Tianlin Li; Anran Li 001; Junlong Zhou; Mingsong Chen 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning. - Lan Zhang 002; Anran Li 001; Hongyi Peng; Feng Han; Fan Huang; Xiang-Yang Li 001 (IEEE Trans. Parallel Distributed Syst., 2024)

Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization. - Anran Li 001; Guangjing Wang 001; Ming Hu 003; Jianfei Sun; Lan Zhang 002; Luu Anh Tuan; Han Yu 001 (IEEE Trans. Mob. Comput., 2024)

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. - Zeke Xia; Ming Hu 003; Dengke Yan; Ruixuan Liu; Anran Li 001; Xiaofei Xie; Mingsong Chen 001 (AAAI, 2025)

Federated Graph Neural Networks: Overview, Techniques, and Challenges. - Rui Liu 034; Pengwei Xing; Zichao Deng; Anran Li 001; Cuntai Guan; Han Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are. - Yuanhao Feng; Jinyang Huang; Youwei Zhang; Xiang Zhang 011; Meng Li 006; Fusang Zhang; Tianyue Zheng; Anran Li 001; Mianxiong Dong; Zhi Liu 002 (ACM Trans. Sens. Networks, 2025)