Xiangyu Zhao

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 49

Top Topics

Point Processes

Recommender Systems

Top Venues

Publications

Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Tensorized Hypergraph Neural Networks. SDM (2024)
Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR (2024)
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. CoRR (2024)
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. Knowl. Inf. Syst. 66 (1) (2024)
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. KDD (2024)
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM (2024)
Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. CoRR (2024)
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. CoRR (2024)
Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR (2024)
Sheng Zhang, Maolin Wang, Xiangyu Zhao
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. CoRR (2024)
Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng
Towards Robust Knowledge Tracing Models via k-Sparse Attention. CoRR (2024)
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
A Comprehensive Survey on Automated Machine Learning for Recommendations. Trans. Recomm. Syst. 2 (2) (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR (2024)
Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
Dual Test-time Training for Out-of-distribution Recommender System. CoRR (2024)
Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation. CoRR (2024)
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. KDD (2024)
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. ICDE (2024)
Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. CoRR (2024)
Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. WWW (Companion Volume) (2024)
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. CoRR (2024)
Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. AAAI (2024)
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
LLM-enhanced Reranking in Recommender Systems. CoRR (2024)
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
OpenSiteRec: An Open Dataset for Site Recommendation. SIGIR (2024)
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. CoRR (2024)
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM (2024)
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. KDD (2024)
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CoRR (2024)
Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. LREC/COLING (2024)
Xiangjie Kong, Juntao Wang, Zehao Hu, Yuwei He, Xiangyu Zhao, Guojiang Shen
Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions. IEEE Internet Things J. 11 (11) (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) (2024)
Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
Cumulative Distribution Function based General Temporal Point Processes. CoRR (2024)
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Modeling User Retention through Generative Flow Networks. KDD (2024)
Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Trans. Inf. Syst. 42 (3) (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. SIGIR (2024)
Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item. CoRR (2024)
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CoRR (2024)
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. SIGIR (2024)
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR (2024)
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. NAACL-HLT (2024)
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Modeling User Retention through Generative Flow Networks. CoRR (2024)
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR (2024)
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng
Large Language Model Distilling Medication Recommendation Model. CoRR (2024)
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR (2024)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. NeurIPS (2023)
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM (2023)