OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. - Yao Shu; Jiongfeng Fang; Ying Tiffany He; Fei Richard Yu (CoRR, 2024)

Flexora: Flexible Low Rank Adaptation for Large Language Models. - Chenxing Wei; Yao Shu; Ying Tiffany He; Fei Richard Yu (CoRR, 2024)

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification. - Leilei Wang; Si Shi; Fei Ma 006; Fei Richard Yu; Pengteng Li; Ying Tiffany He (AAAI, 2025)

Flexora: Flexible Low-Rank Adaptation for Large Language Models. - Chenxing Wei; Yao Shu; Ying Tiffany He; Fei Yu (ACL (1), 2025)

DictAvatar: Expressive Facial Avatar Reconstruction with Facial Feature Dictionary. - Zuyin Wu; Zixuan Guo; Yifan Xie; Ying Tiffany He; Fei Ma 006; Fei Richard Yu (ICIC (6), 2025)

PAFT: Prompt-Agnostic Fine-Tuning. - Chenxing Wei; Yao Shu; Mingwen Ou; Ying Tiffany He; Fei Richard Yu (CoRR, 2025)

SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding. - Nianbo Zeng; Haowen Hou; Fei Richard Yu; Si Shi; Ying Tiffany He (CoRR, 2025)

ReDit: Reward Dithering for Improved LLM Policy Optimization. - Chenxing Wei; Jiarui Yu; Ying Tiffany He; Hande Dong; Yao Shu; Fei Yu (CoRR, 2025)