Research on Color Conversion Model Based on Looking-Up Table in FM Halftoning Technique. - Bin Du; Shi-Sheng Zhou; Li Ju; Li Ni (CSSE (6), 2008)

Batch Text Similarity Search with MapReduce. - Rui Li 041; Li Ju; Zhuo Peng; Zhiwei Yu; Chaokun Wang (APWeb, 2011)

TWACS and the Solutions for Modern Distribution Network. - Xuegui Ren; Li Ju; Qing Fang (EEET, 2018)

Proactive autoscaling for edge computing systems with kubernetes. - Li Ju; Prashant Singh; Salman Toor (UCC Companion, 2021)

Online Data Migration Model and ID3 Algorithm in Sports Competition Action Data Mining Application. - Li Ju; Lei Huang; Sang-Bing Tsai (Wirel. Commun. Mob. Comput., 2021)

Blades: A Simulator for Attacks and Defenses in Federated Learning. - Shenghui Li; Li Ju; Tianru Zhang; Edith C. H. Ngai; Thiemo Voigt (CoRR, 2022)

Deep Graph Reprogramming. - Yongcheng Jing; Chongbin Yuan; Li Ju; Yiding Yang; Xinchao Wang; Dacheng Tao (CVPR, 2023)

Cross-language Emotion Analysis Based on Deep Learning and Performance Improvement in English Translation. - Li Ju (ICIEAI, 2023)

Research on UAV Inspection System Based on Edge Intelligent Computing AI. - Cong Li; Wenyi Zhao; Liuxue Zhao; Li Ju; Hongyu Zhang (ICISCAE, 2023)

Two-Layer Generation Expansion Planning Based on Flexibility Balance. - Jiayu Xu; Fangmin Wang; Ning Su; Bing Li; Li Ju; Sihan Wang; Shiyi Zhang (IEEE Access, 2023)

Accelerating Fair Federated Learning: Adaptive Federated Adam. - Li Ju; Tianru Zhang; Salman Toor; Andreas Hellander (CoRR, 2023)

Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning. - Shenghui Li; Edith C. H. Ngai; Fanghua Ye 001; Li Ju; Tianru Zhang; Thiemo Voigt (IoTDI, 2024)

Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning. - Shenghui Li; Edith C. H. Ngai; Fanghua Ye 001; Li Ju; Tianru Zhang; Thiemo Voigt (IoTDI, 2024)

Towards Scenario Generalization for Vision-based Roadside 3D Object Detection. - Lei Yang 060; Xinyu Zhang 001; Jun Li 082; Li Wang 092; Chuang Zhang; Li Ju; Zhiwei Li; Yang Shen (CoRR, 2024)

GraphBridge: Towards Arbitrary Transfer Learning in GNNs. - Li Ju; Xingyi Yang; Qi Li; Xinchao Wang (ICLR, 2025)

InfoHier: Hierarchical Information Extraction via Encoding and Embedding. - Tianru Zhang; Li Ju; Prashant Singh; Salman Toor (CoRR, 2025)

PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models. - Mayank Nautiyal; Stela Arranz Gheorghe; Kristiana Stefa; Li Ju; Ida-Maria Sintorn; Prashant Singh (CoRR, 2025)

Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere. - Li Ju; Max Andersson; Stina Fredriksson; Edward Glöckner; Andreas Hellander; Ekta Vats; Prashant Singh (CoRR, 2025)

SGV3D: Toward Scenario Generalization for Vision-Based Roadside 3D Object Detection. - Lei Yang 060; Xinyu Zhang 001; Jun Li 082; Li Wang 092; Chuang Zhang; Li Ju; Zhiwei Li; Yang Shen; Chen Lv; Hong Wang 014 (IEEE Trans. Intell. Transp. Syst., 2025)