Jian Xu - RankMe

31 papers A* 3A 2B 2C 1Misc 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery. CoRR Yanlong Wang, Jian Xu, Hongkang Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2026	J	`jnl`	Integrating Large Language Models Into Recommendation via Mutual Augmentation and Adaptive Aggregation. IEEE J. Sel. Top. Signal Process. Sichun Luo, Yuxuan Yao, Bowei He, Wei Shao, Jian Xu, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Hanxu Hou, Mingjie Zhan, Linqi Song
2026	J	`jnl`	RALLRec+: Retrieval augmented large language model recommendation with reasoning. Expert Syst. Appl. Sichun Luo, Jian Xu, Xiaojie Zhang, Linrong Wang, Sicong Liu, Hanxu Hou, Linqi Song
2025	J	`jnl`	Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. IEEE J. Sel. Top. Signal Process. Jian Xu, Shuo Wan, Yinchuan Li, Sichun Luo, Zhilin Chen, Yunfeng Shao, Zhitang Chen, Shao-Lun Huang, Linqi Song
2025	J	`jnl`	RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning. CoRR Sichun Luo, Jian Xu, Xiaojie Zhang, Linrong Wang, Sicong Liu, Hanxu Hou, Linqi Song
2025	—	`conf`	RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. WWW (Companion Volume) Jian Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, Linqi Song
2025	J	`jnl`	RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. CoRR Jian Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, Linqi Song
2025	J	`jnl`	Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation. CoRR Sichun Luo, Guanzhi Deng, Jian Xu, Xiaojie Zhang, Hanxu Hou, Linqi Song
2025	J	`jnl`	Stabilizing and improving federated learning with highly non-iid data and client dropout. Appl. Intell. Jian Xu, Meilin Yang, Wenbo Ding, Shao-Lun Huang
2025	A*	`conf`	pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning. AAAI Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li
2024	J	`jnl`	FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval. IEEE Trans. Parallel Distributed Syst. Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu
2024	Misc	`conf`	NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector. ICASSP Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang
2024	J	`jnl`	On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. IEEE J. Sel. Areas Inf. Theory Xinyi Tong, Jian Xu, Shao-Lun Huang
2024	J	`jnl`	PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting. CoRR Yanlong Wang, Jian Xu, Fei Ma, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2024	J	`jnl`	Privacy in LLM-based Recommendation: Recent Advances and Future Directions. CoRR Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song
2024	J	`jnl`	pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning. CoRR Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li
2023	A	`conf`	A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. CIKM Jian Xu, Shao-Lun Huang
2023	C	`conf`	Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. ICMLA Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang
2023	A*	`conf`	Personalized Federated Learning with Feature Alignment and Classifier Collaboration. ICLR Jian Xu, Xinyi Tong, Shao-Lun Huang
2023	J	`jnl`	Personalized Federated Learning with Feature Alignment and Classifier Collaboration. CoRR Jian Xu, Xinyi Tong, Shao-Lun Huang
2023	J	`jnl`	Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout. CoRR Jian Xu, Meiling Yang, Wenbo Ding, Shao-Lun Huang
2022	B	`conf`	An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. ITW Xinyi Tong, Jian Xu, Shao-Lun Huang
2022	J	`jnl`	An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. CoRR Xinyi Tong, Jian Xu, Shao-Lun Huang
2022	Misc	`conf`	Byzantine-Resilient Decentralized Collaborative Learning. ICASSP Jian Xu, Shao-Lun Huang
2022	A	`conf`	Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2022	—	`conf`	Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. ICC Jian Xu, Xinyi Tong, Shao-Lun Huang
2022	J	`jnl`	FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval. CoRR Meilin Yang, Jian Xu, Yang Liu, Wenbo Ding
2022	B	`conf`	FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. IJCNN Jian Xu, Yi Yan, Shao-Lun Huang
2022	—	`conf`	Federated Capsule Graph Neural Network with Personalization. UbiComp/ISWC Adjunct Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu
2021	A*	`conf`	Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2021	J	`jnl`	SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan