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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2024
[j16]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): 134 (2024)- [j15]Anran Li, John P. Swensen, Mehdi Hosseinzadeh:
Provably-stable neural network-based control of nonlinear systems. Eng. Appl. Artif. Intell. 138: 109252 (2024) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - 2023
- [j10]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) - [j9]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): 5526 (2023) - 2022
- [j8]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: 448-462 (2022) - [j7]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) - [j6]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) - 2021
- [j5]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): 1509-1532 (2021) - [j4]Ningyuan Chen, Anran Li, Kalyan T. Talluri:
Reviews and Self-Selection Bias with Operational Implications. Manag. Sci. 67(12): 7472-7492 (2021) - 2020
- [j3]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: 106105 (2020) - [j2]Guillermo Gallego, Anran Li, Van-Anh Truong, Xinshang Wang:
Approximation Algorithms for Product Framing and Pricing. Oper. Res. 68(1): 134-160 (2020) - 2019
- [j1]Zhanping Liang, Jinfeng Gao, Anran Li:
Infinitely many solutions to a quasilinear Schrödinger equation with a local sublinear term. Appl. Math. Lett. 89: 22-27 (2019)
Conference and Workshop Papers
- 2024
- [c28]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 - [c27]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 - [c26]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 - [c25]Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li:
Dual Calibration-based Personalised Federated Learning. IJCAI 2024: 4982-4990 - 2023
- [c24]Anran Li, Hakan Gurocak:
Modified Bug Algorithm with Proximity Sensors to Reduce Human-Cobot Collisions. ICARA 2023: 80-85 - [c23]Anran Li, Hakan Gurocak:
Tool Path Adaptation of a Cobot Using Supervisory Control with Machine Learning. ICCMA 2023: 375-379 - [c22]Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan:
Federated IoT Interaction Vulnerability Analysis. ICDE 2023: 1517-1530 - [c21]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 - [c20]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 - [c19]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 - [c18]Yihang Cheng, Lan Zhang, Anran Li:
GFL: Federated Learning on Non-IID Data via Privacy-Preserving Synthetic Data. PERCOM 2023: 61-70 - [c17]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 - 2022
- [c16]Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu:
Residue-based Label Protection Mechanisms in Vertical Logistic Regression. BigCom 2022: 356-364 - [c15]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: 1-4 - [c14]Sifeng Wang, Anran Li, Zhaoan Dong, Shengxiang Li:
TaskRec: Using Causal Graph to Debias in Task Recommendation System. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-5 - [c13]Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng:
Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. ICDE 2022: 911-923 - [c12]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 - 2021
- [c11]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 - [c10]Anran Li, Lan Zhang, Juntao Tan, Yaxuan Qin, Junhao Wang, Xiang-Yang Li:
Sample-level Data Selection for Federated Learning. INFOCOM 2021: 1-10 - [c9]Ningyuan Chen, Anran Li, Shuoguang Yang:
Revenue Maximization and Learning in Products Ranking. EC 2021: 316-317 - 2020
- [c8]Rui Jiao, Lan Zhang, Anran Li:
IEye: Personalized Image Privacy Detection. BigCom 2020: 91-95 - [c7]Lan Chen, Linlin Chen, Anran Li, Xiaoyu Wang:
FATE: Fingerprints Automatically Targeting and Extracting for image source identification. BigCom 2020: 117-121 - [c6]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: 5714-5720 - 2019
- [c5]Zhi Guan, Abba Garba, Anran Li, Zhong Chen, Nesrine Kaaniche:
AuthLedger: A Novel Blockchain-based Domain Name Authentication Scheme. ICISSP 2019: 345-352 - [c4]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
- [c3]Abba Garba, Zhi Guan, Anran Li, Zhong Chen:
Analysis of Man-In-The-Middle of Attack on Bitcoin Address. ICETE (2) 2018: 554-561 - [c2]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 - 2016
- [c1]Anran Li:
A Study of Valence & Argument Integration in Chinese Verb-Resultative Complement. PACLIC 2016
Informal and Other Publications
- 2024
- [i15]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 abs/2402.05872 (2024) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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
- [i8]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) - [i7]Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu:
Towards Interpretable Federated Learning. CoRR abs/2302.13473 (2023) - [i6]James M. Dolezal, Sara Kochanny, Emma C. 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 abs/2304.04142 (2023) - [i5]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) - [i4]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) - [i3]Xucheng Liu, Lindong Liu, Yifu Li, Anran Li:
Sewage Discharging in a Line: Global Optimization and Grand Cooperation. CoRR abs/2309.13300 (2023) - 2022
- [i2]Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu:
Residue-based Label Protection Mechanisms in Vertical Logistic Regression. CoRR abs/2205.04166 (2022) - 2020
- [i1]Ningyuan Chen, Anran Li, Shuoguang Yang:
Revenue Maximization and Learning in Products Ranking. CoRR abs/2012.03800 (2020)
Coauthor Index
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