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Liuyi Yao
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2020 – today
- 2024
- [j6]Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou:
Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17(6): 1269-1282 (2024) - [c21]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) 2024: 5984-5996 - [i15]Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou:
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR abs/2402.01802 (2024) - [i14]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR abs/2402.05926 (2024) - [i13]Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li:
Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR abs/2402.11505 (2024) - [i12]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:
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR abs/2402.14034 (2024) - [i11]Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li:
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning. CoRR abs/2402.14883 (2024) - [i10]Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou:
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024) - [i9]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR abs/2404.17287 (2024) - [i8]Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng:
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR abs/2407.08583 (2024) - 2023
- [j5]Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen
, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16(5): 1059-1072 (2023) - [j4]Liuyi Yao
, Yaliang Li, Sheng Li, Jinduo Liu
, Mengdi Huai, Aidong Zhang
, Jing Gao:
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35(9): 8799-8810 (2023) - [c20]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML 2023: 5234-5256 - [c19]Zeyu Qin
, Liuyi Yao
, Daoyuan Chen
, Yaliang Li
, Bolin Ding
, Minhao Cheng
:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD 2023: 4743-4755 - [c18]Liuyi Yao
, Yaliang Li
, Bolin Ding
, Jingren Zhou
, Jinduo Liu
, Mengdi Huai
, Jing Gao
:
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW 2023: 3680-3688 - [i7]Zeyu Qin, Liuyi Yao, Daoyuan Chen
, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR abs/2302.01677 (2023) - [i6]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR abs/2305.02776 (2023) - 2022
- [j3]Mengdi Huai
, Tianhang Zheng
, Chenglin Miao, Liuyi Yao
, Aidong Zhang:
On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data 16(5): 95:1-95:25 (2022) - [c17]Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu:
Imbalance-Aware Uplift Modeling for Observational Data. AAAI 2022: 6313-6321 - [c16]Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI 2022: 6935-6943 - [c15]Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD 2022: 4110-4120 - [i5]Yuexiang Xie, Zhen Wang, Daoyuan Chen
, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR abs/2204.05011 (2022) - [i4]Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR abs/2204.05562 (2022) - [i3]Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen
, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li:
A Benchmark for Federated Hetero-Task Learning. CoRR abs/2206.03436 (2022) - 2021
- [j2]Gabriel Guo, Hanbin Zhang, Liuyi Yao, Huining Li, Chenhan Xu, Zhengxiong Li, Wenyao Xu:
MSLife: Digital Behavioral Phenotyping of Multiple Sclerosis Symptoms in the Wild Using Wearables and Graph-Based Statistical Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 158:1-158:35 (2021) - [j1]Liuyi Yao
, Zhixuan Chu, Sheng Li
, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [c14]Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM 2021: 3583-3587 - [c13]Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun:
Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI 2021: 130-137 - [c12]Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen:
Debiasing Learning based Cross-domain Recommendation. KDD 2021: 3190-3199 - 2020
- [c11]Jinduo Liu, Junzhong Ji, Guangxu Xun
, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI 2020: 4852-4859 - [c10]Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang:
Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD 2020: 472-482 - [c9]Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao:
Causal Inference Meets Machine Learning. KDD 2020: 3527-3528 - [i2]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. CoRR abs/2002.02770 (2020)
2010 – 2019
- 2019
- [c8]Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang:
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM 2019: 834-839 - [c7]Liuyi Yao, Sheng Li
, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM 2019: 1432-1437 - [c6]Qiuling Suo, Liuyi Yao, Guangxu Xun
, Jianhui Sun, Aidong Zhang:
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI 2019: 1-3 - [c5]Mengdi Huai, Hongfei Xue
, Chenglin Miao
, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang:
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI 2019: 2535-2541 - [c4]Liuyi Yao, Sheng Li
, Yaliang Li, Hongfei Xue
, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. IJCAI 2019: 4106-4113 - [c3]Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. SDM 2019: 486-494 - 2018
- [c2]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c1]Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang:
Online Truth Discovery on Time Series Data. SDM 2018: 162-170 - [i1]Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan:
Finding Similar Medical Questions from Question Answering Websites. CoRR abs/1810.05983 (2018)
Coauthor Index
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last updated on 2024-08-23 18:32 CEST by the dblp team
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