Liu Yang - RankMe

24 papers A* 3A 2Misc 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	MFS: An Efficient Model Family Serving System for LLMs. EuroSys Yunxuan Zhang, Hao Wang, Han Tian, Liu Yang, Xudong Liao, Wenxue Li, Ping Yin, Bowen Liu, Kai Chen
2025	J	`jnl`	DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue. CoRR Feiyuan Zhang, Dezhi Zhu, James Ming, Yilun Jin, Di Chai, Liu Yang, Han Tian, Zhaoxin Fan, Kai Chen
2024	J	`jnl`	A Survey for Federated Learning Evaluations: Goals and Measures. IEEE Trans. Knowl. Data Eng. Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
2024	—	`conf`	Efficient Decentralized Federated Singular Vector Decomposition. USENIX ATC Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang
2024	J	`jnl`	Federated Meta Embedding Concept Stock Recommendation. IEEE Trans. Big Data Zhuoyi Peng, Yi Yang, Liu Yang, Kai Chen
2024	J	`jnl`	High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning. IEEE Trans. Parallel Distributed Syst. Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Han Tian, Kai Chen
2024	J	`jnl`	PackVFL: Efficient HE Packing for Vertical Federated Learning. CoRR Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang
2024	J	`jnl`	SoK: Fully Homomorphic Encryption Accelerators. ACM Comput. Surv. Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
2023	J	`jnl`	A Survey for Federated Learning Evaluations: Goals and Measures. CoRR Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
2023	J	`jnl`	A Survey on Vertical Federated Learning: From a Layered Perspective. CoRR Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen
2023	Misc	`conf`	FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning. NSDI Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen
2023	A*	`conf`	Globally Consistent Federated Graph Autoencoder for Non-IID Graphs. IJCAI Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo
2023	J	`jnl`	VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing. CoRR Mingxuan Fan, Yilun Jin, Liu Yang, Zhenghang Ren, Kai Chen
2022	A*	`conf`	Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training. INFOCOM Weiyan Wang, Cengguang Zhang, Liu Yang, Kai Chen, Kun Tan
2022	J	`jnl`	Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data. ACM Trans. Intell. Syst. Technol. Zhenghang Ren, Liu Yang, Kai Chen
2022	A*	`conf`	Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. KDD Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang
2022	—	`conf`	Practical and Secure Federated Recommendation with Personalized Mask. FL@IJCAI Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang
2022	—	`conf`	Secure Forward Aggregation for Vertical Federated Neural Networks. FL@IJCAI Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
2022	J	`jnl`	Secure Forward Aggregation for Vertical Federated Neural Networks. CoRR Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen
2022	J	`jnl`	SoK: Fully Homomorphic Encryption Accelerators. CoRR Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
2021	J	`jnl`	Practical and Secure Federated Recommendation with Personalized Masks. CoRR Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang
2020	J	`jnl`	Divide-and-Shuffle Synchronization for Distributed Machine Learning. CoRR Weiyan Wang, Cengguang Zhang, Liu Yang, Jiacheng Xia, Kai Chen, Kun Tan
2020	A	`conf`	Exploring Clustering of Bandits for Online Recommendation System. RecSys Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang
2020	—	`ch.`	Federated Recommendation Systems. Federated Learning Liu Yang, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang