Yao, Liuyi

10 publications

NeurIPS 2025 Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen

ICLR 2025 Safety Layers in Aligned Large Language Models: The Key to LLM Security Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li

NeurIPS 2024 Federated Fine-Tuning of Large Language Models Under Heterogeneous Tasks and Client Resources Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li

ICML 2023 Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

AAAI 2022 Imbalance-Aware Uplift Modeling for Observational Data Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

AAAI 2022 Towards Automating Model Explanations with Certified Robustness Guarantees Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

AAAI 2020 EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

IJCAI 2019 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang

IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang