Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning. - Zhi Lu; Songfeng Lu; Yongquan Cui; Junjun Wu; Hewang Nie; Jue Xiao; Zepu Yi (Euro-Par (2), 2024)

VeriChroma: Ownership Verification for Federated Models via RGB Filters. - Hewang Nie; Songfeng Lu; Mu Wang; Jue Xiao; Zhi Lu; Zepu Yi (Euro-Par (2), 2024)

Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis. - Ke Xu; Yu Cheng; Shiqing Long; Junjie Guo; Jue Xiao; Mengfang Sun (CoRR, 2024)

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce. - Wei Xu; Jue Xiao; Jianlong Chen (CoRR, 2024)

Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction. - Jue Xiao; Tingting Deng; Shuochen Bi (CoRR, 2024)

The Role of AI in Financial Forecasting: ChatGPT's Potential and Challenges. - Shuochen Bi; Tingting Deng; Jue Xiao (CoRR, 2024)

FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer. - Jue Xiao; Zepu Yi; Hewang Nie; Zhi Lu; Xueming Tang; Songfeng Lu; Zhiguo Huang; Runqing Zhang (ICASSP, 2025)

Federated learning with bilateral defense via blockchain. - Jue Xiao; Hewang Nie; Zepu Yi; Xueming Tang; Songfeng Lu (Neural Networks, 2025)

Transformer-Based Financial Fraud Detection with Cloud-Optimized Real-Time Streaming. - Tingting Deng; Shuochen Bi; Jue Xiao (CoRR, 2025)