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ORCIDAnran Li 0001
Person information
- affiliation: Yale University, Department of Biomedical Informatics and Data Science, School of Medicine, New Haven, CT, USA
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Singapore
- affiliation (PhD 2021): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Anran Li — disambiguation page
- Anran Li 0002
![[0000-0001-7001-2240]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7001-2240")
— Chinese University of Hong Kong, Department of Decisions, Operations and Technology, Hong Kong (and 1 more) - Anran Li 0003 — Shanxi University, School of Mathematical Sciences, Taiyuan, China
- Anran Li 0004 (aka: An-Ran Li 0004) — Hong Kong Polytechnic University, Department of Chinese and Bilingual Studies, Hong Kong
- Anran Li 0005 — Washington State University, School of Mechanical and Materials Engineering, School of Engineering and Computer Science, Vancouver Department, WA, USA
- Anran Li 0006 — Peking University, Institute of Software, Department of Electrical Engineering and Computer Science, China
- Anran Li 0007 — University of Chicago Medical Center, Section of Hematology/Oncology, Department of Medicine, IL, USA
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2020 – today
- 2025
[j13]Chao Ren, Ying-Peng Tang, Yulan Gao, Xian Sun, Kun Fu, Mikael Skoglund, Zhao Yang Dong, Han Yu, Anran Li, Ming Xiao:
QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems. IEEE J. Sel. Areas Commun. 43(9): 3200-3213 (2025)- [j12]Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu:
Federated Graph Neural Networks: Overview, Techniques, and Challenges. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4279-4295 (2025) - [j11]Yuanhao Feng, Jinyang Huang, Youwei Zhang, Xiang Zhang, Meng Li, Fusang Zhang, Tianyue Zheng, Anran Li, Mianxiong Dong, Zhi Liu:
RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are. ACM Trans. Sens. Networks 21(4): 42:1-42:26 (2025) - [c20]Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen:
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. AAAI 2025: 914-922 - 2024
- [j10]Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan:
Aggregating intrinsic information to enhance BCI performance through federated learning. Neural Networks 172: 106100 (2024) - [j9]Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu:
Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. Proc. ACM Manag. Data 2(3): 144 (2024) - [j8]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4057-4068 (2024) - [j7]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4069-4080 (2024) - [j6]Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, Xiang-Yang Li:
Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning. IEEE Trans. Mob. Comput. 23(6): 7238-7255 (2024) - [j5]Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu:
Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization. IEEE Trans. Mob. Comput. 23(12): 15196-15209 (2024) - [j4]Lan Zhang, Anran Li, Hongyi Peng, Feng Han, Fan Huang, Xiang-Yang Li:
Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning. IEEE Trans. Parallel Distributed Syst. 35(11): 2054-2068 (2024) - [c19]Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu:
FedMut: Generalized Federated Learning via Stochastic Mutation. AAAI 2024: 12528-12537 - [c18]Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen:
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. ICDE 2024: 2137-2150 - [c17]Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu:
An Empirical Study on Noisy Label Learning for Program Understanding. ICSE 2024: 95:1-95:12 - [c16]Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li:
Dual Calibration-based Personalised Federated Learning. IJCAI 2024: 4982-4990 - [c15]Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu:
VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. ASE 2024: 1932-1944 - [i11]Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, Yang Liu:
An Empirical Study of Automated Vulnerability Localization with Large Language Models. CoRR abs/2404.00287 (2024) - [i10]Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen:
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR abs/2404.12846 (2024) - [i9]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. CoRR abs/2404.12850 (2024) - [i8]Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Learning with Foundation Models. CoRR abs/2404.15381 (2024) - [i7]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. CoRR abs/2407.12729 (2024) - [i6]Anran Li, Yuanyuan Chen, Chao Ren, Wenhan Wang, Ming Hu, Tianlin Li, Han Yu, Qingyu Chen:
Federated Graph Learning with Adaptive Importance-based Sampling. CoRR abs/2409.14655 (2024) - 2023
- [j3]Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu:
FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. Proc. ACM Manag. Data 1(3): 212:1-212:24 (2023) - [c14]Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan:
Federated IoT Interaction Vulnerability Analysis. ICDE 2023: 1517-1530 - [c13]Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. IJCAI 2023: 436-445 - [c12]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. INFOCOM 2023: 1-10 - [c11]Jiahui Huang, Lan Zhang, Anran Li, Haoran Cheng, Jiexin Xu, Hongmei Song:
Adaptive and Efficient Participant Selection in Vertical Federated Learning. MSN 2023: 455-462 - [c10]Yihang Cheng, Lan Zhang, Anran Li:
GFL: Federated Learning on Non-IID Data via Privacy-Preserving Synthetic Data. PERCOM 2023: 61-70 - [c9]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu:
Learning Program Representations with a Tree-Structured Transformer. SANER 2023: 248-259 - [i5]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. CoRR abs/2302.10417 (2023) - [i4]Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu:
Towards Interpretable Federated Learning. CoRR abs/2302.13473 (2023) - [i3]Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu:
An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. CoRR abs/2307.08990 (2023) - [i2]Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan:
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning. CoRR abs/2308.11636 (2023) - 2022
- [j2]Anran Li, Shuangshuang Xue, Xiang-Yang Li, Lan Zhang, Jianwei Qian:
AppDNA: Profiling App Behavior via Deep-Learning Function Call Graphs. IEEE Trans. Emerg. Top. Comput. 10(1): 414-427 (2022) - [j1]Anran Li, Lan Zhang, Junhao Wang, Feng Han, Xiang-Yang Li:
Privacy-Preserving Efficient Federated-Learning Model Debugging. IEEE Trans. Parallel Distributed Syst. 33(10): 2291-2303 (2022) - [c8]Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu:
Residue-based Label Protection Mechanisms in Vertical Logistic Regression. BigCom 2022: 356-364 - [c7]Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng:
Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. ICDE 2022: 911-923 - [c6]Hong Zhang, Lan Zhang, Ju Huang, Anran Li, Haoran Cheng, Dongbo Huang, Lan Xu:
A Unified Guaranteed Impression Allocation Framework for Online Display Advertising. ICDM 2022: 686-694 - [i1]Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu:
Residue-based Label Protection Mechanisms in Vertical Logistic Regression. CoRR abs/2205.04166 (2022) - 2021
- [c5]Anran Li, Lan Zhang, Junhao Wang, Juntao Tan, Feng Han, Yaxuan Qin, Nikolaos M. Freris, Xiang-Yang Li:
Efficient Federated-Learning Model Debugging. ICDE 2021: 372-383 - [c4]Anran Li, Lan Zhang, Juntao Tan, Yaxuan Qin, Junhao Wang, Xiang-Yang Li:
Sample-level Data Selection for Federated Learning. INFOCOM 2021: 1-10 - 2020
- [c3]Rui Jiao, Lan Zhang, Anran Li:
IEye: Personalized Image Privacy Detection. BigCom 2020: 91-95
2010 – 2019
- 2019
- [c2]Anran Li, Lan Zhang, Jianwei Qian, Xiang Xiao, Xiang-Yang Li, Yunting Xie:
TODQA: Efficient Task-Oriented Data Quality Assessment. MSN 2019: 81-88 - 2018
- [c1]Shuangshuang Xue, Lan Zhang, Anran Li, Xiang-Yang Li, Chaoyi Ruan, Wenchao Huang:
AppDNA: App Behavior Profiling via Graph-based Deep Learning. INFOCOM 2018: 1475-1483
Coauthor Index
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