Liuyi Yao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents. | Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, Libing Wu |
| 2025 | ACL | Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. | Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou |
| 2025 | ICDE | A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. | Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou |
| 2025 | ICLR | Safety Layers in Aligned Large Language Models: The Key to LLM Security. | Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li |
| 2024 | ACL | When to Trust LLMs: Aligning Confidence with Response Quality. | Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding |
| 2024 | KDD | On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. | Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen |
| 2023 | ICML | Efficient Personalized Federated Learning via Sparse Model-Adaptation. | Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li |
| 2023 | KDD | Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. | Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng |
| 2023 | WWW | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. | Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2022 | AAAI | 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 |
| 2022 | AAAI | Towards Automating Model Explanations with Certified Robustness Guarantees. | Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang |
| 2022 | KDD | 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 |
| 2021 | CIKM | SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. | Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2021 | KDD | Debiasing Learning based Cross-domain Recommendation. | Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen |
| 2020 | AAAI | EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. | Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang |
| 2020 | KDD | Causal Inference Meets Machine Learning. | Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao |
| 2020 | KDD | Malicious Attacks against Deep Reinforcement Learning Interpretations. | Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang |
| 2019 | ICDM | ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. | Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. | Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang |
| 2019 | IJCAI | On the Estimation of Treatment Effect with Text Covariates. | Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang |
| 2019 | SDM | DTEC: Distance Transformation Based Early Time Series Classification. | Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2018 | SDM | Online Truth Discovery on Time Series Data. | Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang |