A PTAS for the Weighted Unit Disk Cover Problem. - Jian Li 015; Yifei Jin (ICALP (1), 2015)

Improved Algorithms For Structured Sparse Recovery. - Lingxiao Huang; Yifei Jin; Jian Li 015; Haitao Wang 001 (CoRR, 2017)

Odd Yao-Yao Graphs may Not be Spanners. - Yifei Jin; Jian Li 015; Wei Zhan (CoRR, 2017)

Odd Yao-Yao Graphs are Not Spanners. - Yifei Jin; Jian Li 015; Wei Zhan (SoCG, 2018)

A Simulation Framework for Validating Cellular V2X Scenarios. - Aneta Vulgarakis Feljan; Yifei Jin (IECON, 2018)

3-D printed X-band Yagi-Uda antenna. - Wei Jiang 017; Yifei Jin; TengXing Wang; Yong Huang; Guoan Wang (RWS, 2018)

SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. - Lingxiao Huang; Yifei Jin; Jian Li 015 (SWAT, 2018)

Application of K-means Clustering Algorithms in Optimizing Logistics Distribution Routes. - Ma Haonan; Yong Chen He; Meng Huang; Yana Wen; Yuhan Cheng; Yifei Jin (ICSAI, 2019)

DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. - Chuheng Zhang; Yuanqi Li; Xi Chen 010; Yifei Jin; Pingzhong Tang; Jian Li 015 (ICDM, 2020)

Efficient Algorithms for Crowd-Aided Categorization. - Yuanbing Li; Xian Wu; Yifei Jin; Jian Li 015; Guoliang Li 001 (Proc. VLDB Endow., 2020)

3D Unclonable Optical Identity for Universal Product Verification. - Chenxing Wang; Lily Raymond; Yifei Jin; Alireza Tavakkoli; Haoting Shen (HOST, 2021)

A Graph Attention Learning Approach to Antenna Tilt Optimization. - Yifei Jin; Filippo Vannella; Maxime Bouton; Jaeseong Jeong; Ezeddin Al Hakim (6GNet, 2022)

Open World Learning Graph Convolution for Latency Estimation in Routing Networks. - Yifei Jin; Marios Daoutis; Sarunas Girdzijauskas; Aristides Gionis (IJCNN, 2022)

Adapative algorithms for crowd-aided categorization. - Yuanbing Li; Xian Wu; Yifei Jin; Jian Li 015; Guoliang Li 001; Jianhua Feng (VLDB J., 2022)

Unsupervised Ontology- and Taxonomy Construction Through Hyperbolic Relational Domains and Ranges. - Filip Cornell; Yifei Jin; Jussi Karlgren; Sarunas Girdzijauskas (PKDD/ECML Workshops (3), 2023)

Learning Cellular Coverage from Real Network Configurations using GNNs. - Yifei Jin; Marios Daoutis; Sarunas Girdzijauskas; Aristides Gionis (VTC2023-Spring, 2023)

Generalizing Soft Actor-Critic Algorithms to Discrete Action Spaces. - Le Zhang; Yong Gu; Xin Zhao; Yanshuo Zhang; Shu Zhao; Yifei Jin; Xinxin Wu (PRCV (1), 2024)

Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors. - Filip Cornell; Yifei Jin; Jussi Karlgren; Sarunas Girdzijauskas (CoRR, 2024)

SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate. - Yifei Jin; Ali Maatouk; Sarunas Girdzijauskas; Shugong Xu; Leandros Tassiulas; Rex Ying (CoRR, 2024)

TransROTA: A code for solving collisionality-extended Braginskii's closure formalism for toroidally-rotating plasmas with nonlinear successive overrelaxation. - Cheonho Bae; Yifei Jin; Bo Lyu; Jia Fu; Fudi Wang; Hongming Zhang (Comput. Phys. Commun., 2024)

Exploration of Coincidence Detection of Cascade Photons to Enhance Preclinical Multi-Radionuclide SPECT Imaging. - Yifei Jin; Ling-Jian Meng (IEEE Trans. Medical Imaging, 2024)

Perovskite Nanocrystal Enhanced Vertically Stacked-Photodiode Image Sensor for Wavelength Resolved UV Imaging. - Haoxiang Chang; Zhongmin Zhu; Haocheng Yang; Yifei Jin; Brianna Hajek; Ziwen Wang; Qingyang Fei; Shuming Nie; Viktor Gruev (ISCAS, 2025)

A 1280 by 720 by 3, 12-Band Multispectral Imager for Dual Near-Infrared Fluorophore Differentiation. - Brianna Hajek; Zhongmin Zhu; Yifei Jin; Haocheng Yang; Haoxiang Chang; Viktor Gruev (ISCAS, 2025)

UV-Visible-NIR Image Sensor for Labeled and Label-free Intra-operative Imaging with Human Clinical Validation. - Yifei Jin; Zhongmin Zhu; Brianna Hajek; Haocheng Yang; Haoxiang Chang; Borislav Kondov; Magdalena Bogdanovska Todorovska; Goran Kondov; Shuming Nie; Viktor Gruev (ISCAS, 2025)

OpenFE++: Efficient Automated Feature Generation via Feature Interaction. - Lei Wang; Yu Shi; Yifei Jin; Jian Li (SDM, 2025)

Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate. - Yifei Jin; Dimitrios Koutlis; Hector Bandala; Marios Daoutis (CoRR, 2025)

Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability. - Yifei Jin; Xin Zheng; Lei Guo (CoRR, 2025)