FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning. - Fan Wu; Xinyu Yan 003; Jiabei Liu; Wei Yang Bryan Lim (NeurIPS, 2025)

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning. - Fuyao Zhang; Wenjie Li 008; Yurong Hao; Xinyu Yan 003; Yang Cao 011; Wei Yang Bryan Lim (CoRR, 2025)

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. - Fuyao Zhang; Xinyu Yan 003; Tiantong Wu; Wenjie Li 008; Tianxiang Chen; Yang Cao 011; Ran Yan; Longtao Huang; Wei Yang Bryan Lim; Qiang Yang 001 (AAAI, 2026)

SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System. - Zijie Wang; Xinyu Yan 003; Che Wang; Zihao Zeng; Lei Xiao; Wei Yang Bryan Lim (EACL (Volume 1: Long Papers), 2026)

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models. - Tiantong Wang; Xinyu Yan 003; Tiantong Wu; Yurong Hao; Yong Jiang 005; Fei Huang 002; Wei Yang Bryan Lim (CoRR, 2026)

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence. - Xinyu Yan 003; Boyang Chen; Jiaming Zhang; Tiantong Wu; Hong Xi Tae; Yichen He; Tiantong Wang; Yachun Mi; Yurong Hao; Yilei Zhao 001; Lei Xiao; Longtao Huang; et al. (CoRR, 2026)