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ORCIDXiangyu Zhao 0001
Person information
- affiliation: City University of Hong Kong, Hong Kong, China
Other persons with the same name
- Xiangyu Zhao — disambiguation page
- Xiangyu Zhao 0002
![[0000-0003-4887-1924]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4887-1924")
— Technical University of Munich, Munich, Germany - Xiangyu Zhao 0003 — Fudan University, Shanghai, China
- Xiangyu Zhao 0004 — Beijing Research Center for Information Technology in Agriculture, Beijing, China
- Xiangyu Zhao 0005 — Xiamen University, China
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2020 – today
- 2025
[j16]Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang:
Multimodal Recommender Systems: A Survey. ACM Comput. Surv. 57(2): 26:1-26:17 (2025)- 2024
- [j15]Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen:
Large language models for generative information extraction: a survey. Frontiers Comput. Sci. 18(6): 186357 (2024) - [j14]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): 19210-19231 (2024) - [j13]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): 89-113 (2024) - [j12]Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Shuwei Liang, Jianwei Yin:
Automatic Data Repair: Are We Ready to Deploy? Proc. VLDB Endow. 17(10): 2617-2630 (2024) - [j11]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): 1800-1814 (2024) - [j10]Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li:
Recommender Systems in the Era of Large Language Models (LLMs). IEEE Trans. Knowl. Data Eng. 36(11): 6889-6907 (2024) - [j9]Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu:
Multi-Level Graph Knowledge Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(12): 8829-8841 (2024) - [j8]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): 86:1-86:23 (2024) - [j7]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): 13:1-13:38 (2024) - [c112]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: 8553-8561 - [c111]Wei Ni, Kaihang Zhang, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin:
IterClean: An Iterative Data Cleaning Framework with Large Language Models. ACM TUR-C 2024 - [c110]Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang:
HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. CIKM 2024: 653-662 - [c109]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CIKM 2024: 1452-1461 - [c108]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CIKM 2024: 1941-1950 - [c107]Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CIKM 2024: 2472-2481 - [c106]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CIKM 2024: 2660-2670 - [c105]Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo:
Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations. CIKM 2024: 5333-5337 - [c104]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: 11956-11968 - [c103]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. EMNLP (Findings) 2024: 7744-7757 - [c102]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. ICDE 2024: 803-815 - [c101]Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao:
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ICML 2024 - [c100]Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong:
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation. IJCAI 2024: 2207-2215 - [c99]Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng:
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases. IJCAI 2024: 5918-5926 - [c98]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: 1004-1015 - [c97]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: 4676-4687 - [c96]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: 5194-5205 - [c95]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: 5497-5508 - [c94]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: 2498-2518 - [c93]Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin:
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. RecSys 2024: 591-600 - [c92]Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Tensorized Hypergraph Neural Networks. SDM 2024: 127-135 - [c91]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. SIGIR 2024: 893-902 - [c90]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: 1104-1114 - [c89]Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing:
Optimal Transport Enhanced Cross-City Site Recommendation. SIGIR 2024: 1441-1451 - [c88]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: 1483-1493 - [c87]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: 1872-1882 - [c86]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: 3025-3028 - [c85]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: 434-442 - [c84]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: 779-787 - [c83]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: 235-244 - [c82]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: 1715-1718 - [i98]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 abs/2402.00388 (2024) - [i97]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 abs/2402.00390 (2024) - [i96]Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng:
Large Language Model Distilling Medication Recommendation Model. CoRR abs/2402.02803 (2024) - [i95]Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu:
Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR abs/2402.09543 (2024) - [i94]Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao:
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation. CoRR abs/2402.10468 (2024) - [i93]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 abs/2402.17334 (2024) - [i92]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 abs/2402.18099 (2024) - [i91]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 abs/2403.01972 (2024) - [i90]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. CoRR abs/2403.04278 (2024) - [i89]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 abs/2403.04399 (2024) - [i88]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 abs/2403.12660 (2024) - [i87]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 abs/2404.00702 (2024) - [i86]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 abs/2404.03637 (2024) - [i85]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 abs/2404.15380 (2024) - [i84]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 abs/2404.18465 (2024) - [i83]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 abs/2405.14702 (2024) - [i82]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 abs/2405.20646 (2024) - [i81]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 abs/2406.06043 (2024) - [i80]Sheng Zhang, Maolin Wang, Xiangyu Zhao:
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. CoRR abs/2406.10244 (2024) - [i79]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 abs/2406.12433 (2024) - [i78]Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CoRR abs/2406.12529 (2024) - [i77]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 abs/2407.00082 (2024) - [i76]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR abs/2407.15411 (2024) - [i75]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 abs/2407.15620 (2024) - [i74]Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng:
Towards Robust Knowledge Tracing Models via k-Sparse Attention. CoRR abs/2407.17097 (2024) - [i73]Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan:
Prompt Tuning as User Inherent Profile Inference Machine. CoRR abs/2408.06577 (2024) - [i72]Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye:
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. CoRR abs/2408.10286 (2024) - [i71]Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu:
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework. CoRR abs/2408.11312 (2024) - [i70]Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao:
Bidirectional Gated Mamba for Sequential Recommendation. CoRR abs/2408.11451 (2024) - [i69]Haoran Yang, Xiangyu Zhao, Sirui Huang, Qing Li, Guandong Xu:
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. CoRR abs/2409.01145 (2024) - [i68]Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng:
Large Language Model Empowered Embedding Generator for Sequential Recommendation. CoRR abs/2409.19925 (2024) - [i67]Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei:
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning. CoRR abs/2410.06509 (2024) - [i66]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. CoRR abs/2410.15702 (2024) - [i65]Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu:
GPRec: Bi-level User Modeling for Deep Recommenders. CoRR abs/2410.20730 (2024) - [i64]Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. CoRR abs/2411.01537 (2024) - [i63]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CoRR abs/2411.01540 (2024) - 2023
- [j6]Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu:
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. Inf. Sci. 648: 119552 (2023) - [j5]Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang:
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35(12): 12415-12429 (2023) - [j4]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen:
Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. 41(1): 3:1-3:32 (2023) - [c81]Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI 2023: 4902-4910 - [c80]Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing:
Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. CIKM 2023: 1238-1248 - [c79]Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang:
HAMUR: Hyper Adapter for Multi-Domain Recommendation. CIKM 2023: 1268-1277 - [c78]Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu:
REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning. CIKM 2023: 1278-1287 - [c77]Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian:
Diffusion Augmentation for Sequential Recommendation. CIKM 2023: 1576-1586 - [c76]Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang:
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. CIKM 2023: 1756-1765 - [c75]Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu:
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CIKM 2023: 3195-3205 - [c74]Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao:
MLPST: MLP is All You Need for Spatio-Temporal Prediction. CIKM 2023: 3381-3390 - [c73]Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo:
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. CIKM 2023: 3798-3802 - [c72]Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li:
Counterfactual Adversarial Learning for Recommendation. CIKM 2023: 4115-4119 - [c71]Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM 2023: 5304-5307 - [c70]Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM 2023: 1361-1366 - [c69]Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo:
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. ITS 2023: 678-690 - [c68]Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang:
Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. KDD 2023: 673-684 - [c67]Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng:
Doctor Specific Tag Recommendation for Online Medical Record Management. KDD 2023: 5150-5161 - [c66]Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang:
Trustworthy Recommender Systems: Foundations and Frontiers. KDD 2023: 5796-5797 - [c65]Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng:
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information. NeurIPS 2023 - [c64]Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu:
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. NeurIPS 2023 - [c63]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 - [c62]Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Jian Qiao Yu:
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis. NeurIPS 2023 - [c61]Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu:
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. NeurIPS 2023 - [c60]Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li:
STRec: Sparse Transformer for Sequential Recommendations. RecSys 2023: 101-111 - [c59]