Liuyi Yao

According to our database, Liuyi Yao authored at least 35 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Performance-Based Pricing of Federated Learning via Auction.

Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou

Proc. VLDB Endow., February, 2024

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning.

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou

CoRR, 2024

Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning.

Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li

CoRR, 2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.

Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources.

Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li

CoRR, 2024

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models.

Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen

CoRR, 2024

An Auction-based Marketplace for Model Trading in Federated Learning.

Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou

CoRR, 2024

2023

Concept-Level Model Interpretation From the Causal Aspect.

Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao

IEEE Trans. Knowl. Data Eng., September, 2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.

Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao

Proceedings of the ACM Web Conference 2023, 2023

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.

Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient Personalized Federated Learning via Sparse Model-Adaptation.

Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

2022

On the Robustness of Metric Learning: An Adversarial Perspective.

Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Automating Model Explanations with Certified Robustness Guarantees.

Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Survey on Causal Inference.

Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2021

MSLife: Digital Behavioral Phenotyping of Multiple Sclerosis Symptoms in the Wild Using Wearables and Graph-Based Statistical Analysis.

Gabriel Guo, Hanbin Zhang, Liuyi Yao, Huining Li, Chenhan Xu, Zhengxiong Li, Wenyao Xu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Debiasing Learning based Cross-domain Recommendation.

Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Staging: An Interpretable Deep Learning Framework for Disease Staging.

Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.

Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Malicious Attacks against Deep Reinforcement Learning Interpretations.

Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Causal Inference Meets Machine Learning.

Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DTEC: Distance Transformation Based Early Time Series Classification.

Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

On the Estimation of Treatment Effect with Text Covariates.

Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Recurrent Imputation for Multivariate Time Series with Missing Values.

Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks.

Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Finding Similar Medical Questions from Question Answering Websites.

Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan

CoRR, 2018

Online Truth Discovery on Time Series Data.

Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Representation Learning for Treatment Effect Estimation from Observational Data.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018