Liuyi Yao - RankMe

57 papers A* 19A 3Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents. CoRR Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, Libing Wu
2025	A*	`conf`	A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. ICDE Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou
2025	J	`jnl`	AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications. CoRR Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. CoRR Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2025	J	`jnl`	Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection. CoRR Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	—	`conf`	Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. ACL (Findings) Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	J	`jnl`	Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. CoRR Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	A*	`conf`	Exploiting Task-Level Vulnerabilities: An Automatic Jailbreak Attack and Defense Benchmarking for LLMs. USENIX Security Symposium Lan Zhang, Xinben Gao, Liuyi Yao, Jinke Song, Yaliang Li
2025	A*	`conf`	Safety Layers in Aligned Large Language Models: The Key to LLM Security. ICLR Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li
2025	J	`jnl`	Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM. CoRR Shen Li, Liuyi Yao, Wujia Niu, Lan Zhang, Yaliang Li
2025	J	`jnl`	The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	J	`jnl`	A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
2024	J	`jnl`	AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR 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
2024	J	`jnl`	An Auction-based Marketplace for Model Trading in Federated Learning. CoRR Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou
2024	J	`jnl`	Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning. CoRR Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li
2024	J	`jnl`	Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. NeurIPS Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	J	`jnl`	Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding
2024	A*	`conf`	On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2024	J	`jnl`	On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2024	J	`jnl`	Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
2024	J	`jnl`	Safety Layers of Aligned Large Language Models: The Key to LLM Security. CoRR Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li
2024	J	`jnl`	The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	—	`conf`	When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024	J	`jnl`	When to Trust LLMs: Aligning Confidence with Response Quality. CoRR Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2023	J	`jnl`	Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
2023	A*	`conf`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	J	`jnl`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	J	`jnl`	FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2023	A*	`conf`	Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2023	A*	`conf`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	J	`jnl`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	A*	`conf`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	Imbalance-Aware Uplift Modeling for Observational Data. AAAI Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
2022	J	`jnl`	On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang
2022	A*	`conf`	Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang
2021	J	`jnl`	A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2021	A*	`conf`	Debiasing Learning based Cross-domain Recommendation. KDD Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen
2021	—	`conf`	Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun
2021	J	`jnl`	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. Gabriel Guo, Hanbin Zhang, Liuyi Yao, Huining Li, Chenhan Xu, Zhengxiong Li, Wenyao Xu
2021	A	`conf`	SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
2020	J	`jnl`	A Survey on Causal Inference. CoRR Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2020	A*	`conf`	Causal Inference Meets Machine Learning. KDD Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	A*	`conf`	EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
2020	A*	`conf`	Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang
2019	A*	`conf`	ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2019	A	`conf`	DTEC: Distance Transformation Based Early Time Series Classification. SDM Liuyi Yao, Yaliang Li, YeZheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang
2019	A*	`conf`	Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang
2019	—	`conf`	Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang
2019	A*	`conf`	On the Estimation of Treatment Effect with Text Covariates. IJCAI Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang
2019	—	`conf`	Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang
2018	J	`jnl`	Finding Similar Medical Questions from Question Answering Websites. CoRR Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan
2018	A	`conf`	Online Truth Discovery on Time Series Data. SDM Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang
2018	A*	`conf`	Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang