Anran Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Sample Selection

Program Understanding

Top Venues

Publications

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) (2024)
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 (2024)
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)
James M. Dolezal, Sara Kochanny, Emma C. Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinform. 25 (1) (2024)
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 (2024)
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)
Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu
An Empirical Study on Noisy Label Learning for Program Understanding. ICSE (2024)
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 (2024)
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 (2024)
Parker Ewen, Hao Chen, Yuzhen Chen, Anran Li, Anup Bagali, Gitesh Gunjal, Ram Vasudevan
You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction. CoRR (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2023)
Jiahui Huang, Lan Zhang, Anran Li, Haoran Cheng, Jiexin Xu, Hongmei Song
Adaptive and Efficient Participant Selection in Vertical Federated Learning. MSN (2023)
Yihang Cheng, Lan Zhang, Anran Li
GFL: Federated Learning on Non-IID Data via Privacy-Preserving Synthetic Data. PERCOM (2023)
Xucheng Liu, Lindong Liu, Yifu Li, Anran Li
Sewage Discharging in a Line: Global Optimization and Grand Cooperation. CoRR (2023)
Anran Li, Hakan Gurocak
Modified Bug Algorithm with Proximity Sensors to Reduce Human-Cobot Collisions. ICARA (2023)
Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan
Federated IoT Interaction Vulnerability Analysis. ICDE (2023)
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) (2023)
Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning. CoRR (2023)
James M. Dolezal, Sara Kochanny, Emma Dyer, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization. CoRR (2023)
Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
Fairness via Group Contribution Matching. IJCAI (2023)
Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu
Towards Interpretable Federated Learning. CoRR (2023)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu
Learning Program Representations with a Tree-Structured Transformer. SANER (2023)
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 (2023)
Haimeng Zhao, Xiaojian Yin, Anran Li, Huimin Zhang, Danqing Pan, Jinjin Pan, Jianfang Zhu, Mingchun Wang, Shanlin Sun, Qiang Wang
Intelligent Segmentation and Change Detection of Dams Based on UAV Remote Sensing Images. Remote. Sens. 15 (23) (2023)
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)
Anran Li, Hakan Gurocak
Tool Path Adaptation of a Cobot Using Supervisory Control with Machine Learning. ICCMA (2023)
Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu
Residue-based Label Protection Mechanisms in Vertical Logistic Regression. CoRR (2022)
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)
Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu
Residue-based Label Protection Mechanisms in Vertical Logistic Regression. BigCom (2022)
Shengxiang Li, Sifeng Wang, Zhaoan Dong, Anran Li, Lianyong Qi, Chao Yan
PSBCNN: Fine-grained image classification based on pyramid convolution networks and SimAM. DASC/PiCom/CBDCom/CyberSciTech (2022)
Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng
Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. ICDE (2022)
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) (2022)
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) (2022)
Yun Liao, Yide Di, Hao Zhou, Anran Li, Junhui Liu, Mingyu Lu, Qing Duan
Feature Matching and Position Matching Between Optical and SAR With Local Deep Feature Descriptor. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Sifeng Wang, Anran Li, Zhaoan Dong, Shengxiang Li
TaskRec: Using Causal Graph to Debias in Task Recommendation System. DASC/PiCom/CBDCom/CyberSciTech (2022)
Anran Li, Lan Zhang, Juntao Tan, Yaxuan Qin, Junhao Wang, Xiang-Yang Li
Sample-level Data Selection for Federated Learning. INFOCOM (2021)
Pin Gao, Yuhang Ma, Ningyuan Chen, Guillermo Gallego, Anran Li, Paat Rusmevichientong, Huseyin Topaloglu
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection. Oper. Res. 69 (5) (2021)
Ningyuan Chen, Anran Li, Shuoguang Yang
Revenue Maximization and Learning in Products Ranking. EC (2021)
Ningyuan Chen, Anran Li, Kalyan T. Talluri
Reviews and Self-Selection Bias with Operational Implications. Manag. Sci. 67 (12) (2021)
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)
Lan Chen, Linlin Chen, Anran Li, Xiaoyu Wang
FATE: Fingerprints Automatically Targeting and Extracting for image source identification. BigCom (2020)
Guillermo Gallego, Anran Li, Van-Anh Truong, Xinshang Wang
Approximation Algorithms for Product Framing and Pricing. Oper. Res. 68 (1) (2020)
Rui Jiao, Lan Zhang, Anran Li
IEye: Personalized Image Privacy Detection. BigCom (2020)
Anran Li, Peiting Wang, Chongqing Wei
Multiplicity of solutions for a class of Kirchhoff type equations with Hardy-Littlewood-Sobolev critical nonlinearity. Appl. Math. Lett. 102 (2020)
Rong Xiang, Xuefeng Gao, Yunfei Long, Anran Li, Emmanuele Chersoni, Qin Lu, Chu-Ren Huang
Ciron: a New Benchmark Dataset for Chinese Irony Detection. LREC (2020)
Ningyuan Chen, Anran Li, Shuoguang Yang
Revenue Maximization and Learning in Products Ranking. CoRR (2020)
Zhi Guan, Abba Garba, Anran Li, Zhong Chen, Nesrine Kaaniche
AuthLedger: A Novel Blockchain-based Domain Name Authentication Scheme. ICISSP (2019)
Anran Li, Lan Zhang, Jianwei Qian, Xiang Xiao, Xiang-Yang Li, Yunting Xie
TODQA: Efficient Task-Oriented Data Quality Assessment. MSN (2019)
Zhanping Liang, Jinfeng Gao, Anran Li
Infinitely many solutions to a quasilinear Schrödinger equation with a local sublinear term. Appl. Math. Lett. 89 (2019)
Shuangshuang Xu, Lan Zhang, Anran Li, Xiang-Yang Li, Chaoyi Ruan, Wenchao Huang
AppDNA: App Behavior Profiling via Graph-based Deep Learning. INFOCOM (2018)
Abba Garba, Zhi Guan, Anran Li, Zhong Chen
Analysis of Man-In-The-Middle of Attack on Bitcoin Address. ICETE (2) (2018)
Anran Li
A Study of Valence & Argument Integration in Chinese Verb-Resultative Complement. PACLIC (2016)