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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.uni-trier.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]Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao:
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 2023: 1276-1280 - [c58]Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR 2023: 289-299 - [c57]Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong:
Single-shot Feature Selection for Multi-task Recommendations. SIGIR 2023: 341-351 - [c56]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c55]Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang:
AutoTransfer: Instance Transfer for Cross-Domain Recommendations. SIGIR 2023: 1478-1487 - [c54]Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang:
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. SIGIR 2023: 1498-1507 - [c53]Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu:
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. SIGIR 2023: 1833-1837 - [c52]Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng:
Towards Robust Knowledge Tracing Models via k-Sparse Attention. SIGIR 2023: 2441-2445 - [c51]Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang:
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM 2023: 598-606 - [c50]Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao:
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM 2023: 1264-1267 - [c49]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW 2023: 621-629 - [c48]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c47]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. WWW 2023: 833-844 - [c46]Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. WWW 2023: 1003-1011 - [c45]Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu:
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. WWW 2023: 1109-1117 - [c44]Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. WWW 2023: 1141-1149 - [c43]Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo:
AutoMLP: Automated MLP for Sequential Recommendations. WWW 2023: 1190-1198 - [c42]Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai:
Multi-Task Recommendations with Reinforcement Learning. WWW 2023: 1273-1282 - [c41]Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li:
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. WWW 2023: 1355-1363 - [c40]Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing:
IMF: Interactive Multimodal Fusion Model for Link Prediction. WWW 2023: 2572-2580 - [i62]Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai:
Multi-Task Recommendations with Reinforcement Learning. CoRR abs/2302.03328 (2023) - [i61]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. CoRR abs/2302.03431 (2023) - [i60]Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang:
Multi-Task Deep Recommender Systems: A Survey. CoRR abs/2302.03525 (2023) - [i59]Qidong Liu, Jiaxi Hu, Yutian Xiao, Jingtong Gao, Xiangyu Zhao:
Multimodal Recommender Systems: A Survey. CoRR abs/2302.03883 (2023) - [i58]Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li:
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. CoRR abs/2302.05862 (2023) - [i57]Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo:
AutoMLP: Automated MLP for Sequential Recommendations. CoRR abs/2303.06337 (2023) - [i56]Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. CoRR abs/2303.06347 (2023) - [i55]Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. CoRR abs/2303.06611 (2023) - [i54]Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing:
IMF: Interactive Multimodal Fusion Model for Link Prediction. CoRR abs/2303.10816 (2023) - [i53]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i52]Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR abs/2304.09174 (2023) - [i51]Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu:
Diffusion Model for GPS Trajectory Generation. CoRR abs/2304.11582 (2023) - [i50]Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang:
IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR abs/2305.12650 (2023) - [i49]Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Tensorized Hypergraph Neural Networks. CoRR abs/2306.02560 (2023) - [i48]Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing:
OpenSiteRec: An Open Dataset for Site Recommendation. CoRR abs/2307.00856 (2023) - [i47]Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR abs/2308.06965 (2023) - [i46]Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang:
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. CoRR abs/2309.02061 (2023) - [i45]Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang:
HAMUR: Hyper Adapter for Multi-Domain Recommendation. CoRR abs/2309.06217 (2023) - [i44]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. CoRR abs/2309.09500 (2023) - [i43]Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang:
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. CoRR abs/2309.11284 (2023) - [i42]Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai:
KuaiSim: A Comprehensive Simulator for Recommender Systems. CoRR abs/2309.12645 (2023) - [i41]Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian:
Diffusion Augmentation for Sequential Recommendation. CoRR abs/2309.12858 (2023) - [i40]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. CoRR abs/2309.13363 (2023) - [i39]Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin:
Automatic Data Repair: Are We Ready to Deploy? CoRR abs/2310.00711 (2023) - [i38]Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu:
Enhancing Traffic Prediction with Learnable Filter Module. CoRR abs/2310.16063 (2023) - [i37]Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng:
MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications. CoRR abs/2310.18339 (2023) - [i36]Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo:
Embedding in Recommender Systems: A Survey. CoRR abs/2310.18608 (2023) - [i35]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. CoRR abs/2310.19056 (2023) - [i34]Jialin Liu, Xinyan Su, Peng Zhou, Xiangyu Zhao, Jun Li:
A General Neural Causal Model for Interactive Recommendation. CoRR abs/2310.19519 (2023) - [i33]Jialin Liu, Xinyan Su, Zeyu He, Xiangyu Zhao, Jun Li:
Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation. CoRR abs/2310.19536 (2023) - [i32]You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng:
On the Opportunities of Green Computing: A Survey. CoRR abs/2311.00447 (2023) - [i31]Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR abs/2311.10341 (2023) - [i30]Xinhang Li, Chong Chen, Xiangyu Zhao, Yong Zhang, Chunxiao Xing:
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation. CoRR abs/2312.02443 (2023) - [i29]Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao:
Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup. CoRR abs/2312.05795 (2023) - [i28]Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang:
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR abs/2312.10743 (2023) - [i27]Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, Dawei Yin:
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. CoRR abs/2312.15450 (2023) - [i26]Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen:
Large Language Models for Generative Information Extraction: A Survey. CoRR abs/2312.17617 (2023) - 2022
- [c39]Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang:
Multi-Type Urban Crime Prediction. AAAI 2022: 4388-4396 - [c38]Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu:
Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. CIKM 2022: 1199-1208 - [c37]Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li:
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. CIKM 2022: 2508-2518 - [c36]Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li:
MAE4Rec: Storage-saving Transformer for Sequential Recommendations. CIKM 2022: 2681-2690 - [c35]Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM 2022: 3152-3161 - [c34]Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. ICDM 2022: 458-467 - [c33]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. ICLR 2022 - [c32]Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. IJCAI 2022: 2138-2144 - [c31]Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang:
Knowledge-enhanced Black-box Attacks for Recommendations. KDD 2022: 108-117 - [c30]Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu:
AdaFS: Adaptive Feature Selection in Deep Recommender System. KDD 2022: 3309-3317 - [c29]Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao:
DDR: Dialogue Based Doctor Recommendation for Online Medical Service. KDD 2022: 4592-4600 - [c28]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Filtering Networks for Recommendation. SIGIR 2022: 112-121 - [c27]Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2022: 3488-3491 - [c26]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c25]Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu:
AutoField: Automating Feature Selection in Deep Recommender Systems. WWW 2022: 1977-1986 - [c24]Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW 2022: 2048-2057 - [c23]Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong:
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. WWW 2022: 2268-2276 - [i25]Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang:
Automated Machine Learning for Deep Recommender Systems: A Survey. CoRR abs/2204.01390 (2022) - [i24]Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu:
AutoField: Automating Feature Selection in Deep Recommender Systems. CoRR abs/2204.09078 (2022) - [i23]Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. CoRR abs/2204.11510 (2022) - [i22]Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang:
Knowledge-enhanced Black-box Attacks for Recommendations. CoRR abs/2207.10307 (2022) - [i21]Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu:
Federated Graph Contrastive Learning. CoRR abs/2207.11836 (2022) - [i20]Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li:
A Comprehensive Survey on Trustworthy Recommender Systems. CoRR abs/2209.10117 (2022) - 2021
- [j3]Weilin Liao, Xiangyu Zhao, Hsueh-Tsung Lu, Tsenguun Byambadorj, Yutao Qin, Yogesh B. Gianchandani:
Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses. Sensors 21(9): 3089 (2021) - [c22]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI 2021: 750-758 - [c21]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE 2021: 1583-1594 - [c20]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM 2021: 896-905 - [c19]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. KDD 2021: 3959-3967 - [c18]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2021: 2681-2684 - [c17]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. WSDM 2021: 445-453 - [c16]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [c15]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i19]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. CoRR abs/2101.03584 (2021) - [i18]Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin:
Data-Efficient Reinforcement Learning for Malaria Control. CoRR abs/2105.01620 (2021) - [i17]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. CoRR abs/2106.05470 (2021) - [i16]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. CoRR abs/2106.06713 (2021) - [i15]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Networks for Recommendations. CoRR abs/2108.05552 (2021) - 2020
- [c14]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c13]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. KDD 2020: 3319-3327 - [c12]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [c11]Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang:
Automated Embedding Size Search in Deep Recommender Systems. SIGIR 2020: 2307-2316 - [c10]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. SIGIR 2020: 2468-2471 - [i14]Xiangyu Zhao, Jiliang Tang:
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. CoRR abs/2001.06923 (2020) - [i13]Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. CoRR abs/2002.11252 (2020) - [i12]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. CoRR abs/2003.00097 (2020) - [i11]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR abs/2005.08147 (2020) - [i10]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i9]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020)
2010 – 2019
- 2019
- [j2]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. 2019(Spring): 4:1-4:15 (2019) - [c9]Xiangyu Zhao, Yutao Qin, Yogesh B. Gianchandani:
Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform. IEEE SENSORS 2019: 1-4 - [i8]Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR abs/1902.03987 (2019) - [i7]Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR abs/1906.11462 (2019) - [i6]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang:
Deep Reinforcement Learning for Online Advertising in Recommender Systems. CoRR abs/1909.03602 (2019) - 2018
- [j1]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: : A Data Mining Perspective. SIGKDD Explor. 20(1): 1-12 (2018) - [c8]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. KDD 2018: 1040-1048 - [c7]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep reinforcement learning for page-wise recommendations. RecSys 2018: 95-103 - [i5]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang:
Deep Reinforcement Learning for List-wise Recommendations. CoRR abs/1801.00209 (2018) - [i4]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. CoRR abs/1802.06501 (2018) - [i3]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: A Data Mining Perspective. CoRR abs/1804.08159 (2018) - [i2]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep Reinforcement Learning for Page-wise Recommendations. CoRR abs/1805.02343 (2018) - [i1]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Reinforcement Learning for Online Information Seeking. CoRR abs/1812.07127 (2018) - 2017
- [c6]Xiangyu Zhao, Jiliang Tang:
Modeling Temporal-Spatial Correlations for Crime Prediction. CIKM 2017: 497-506 - [c5]Xiangyu Zhao, Jiliang Tang:
Exploring Transfer Learning for Crime Prediction. ICDM Workshops 2017: 1158-1159 - [c4]Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo:
Incorporating Spatio-Temporal Smoothness for Air Quality Inference. ICDM 2017: 1177-1182 - 2016
- [c3]Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo:
Exploring the Choice Under Conflict for Social Event Participation. DASFAA (1) 2016: 396-411 - [c2]Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong:
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. KDD 2016: 1285-1294 - [c1]Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu:
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. KSEM 2016: 613-627
Coauthor Index
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