Xiangyu Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 219

Top Venues

Publications

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 (2024)
Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Xiangyu Zhao, Rong Zhou, Li Ning, Qiuquan Guo, Yan Liang, Jun Yang
Atrial Fibrillation Detection with Single-Lead Electrocardiogram Based on Temporal Convolutional Network-ResNet. Sensors 24 (2) (2024)
Xiangyu Zhao, Yicheng Chen, Shilin Xu, Xiangtai Li, Xinjiang Wang, Yining Li, Haian Huang
An Open and Comprehensive Pipeline for Unified Object Grounding and Detection. CoRR (2024)
Zhiyun Song, Xin Wang, Xiangyu Zhao, Sheng Wang, Zhenrong Shen, Zixu Zhuang, Mengjun Liu, Qian Wang, Lichi Zhang
Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images. MICCAI (10) (2023)
Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang
Trustworthy Recommender Systems: Foundations and Frontiers. KDD (2023)
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
Single-shot Feature Selection for Multi-task Recommendations. SIGIR (2023)
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)
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
OpenSiteRec: An Open Dataset for Site Recommendation. CoRR (2023)
Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. Brain Informatics 10 (1) (2023)
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM (2023)
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 (2023)
Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. CIKM (2023)
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)
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)
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 (2023)
Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
AutoMLP: Automated MLP for Sequential Recommendations. WWW (2023)
Xiangyu Zhao, Sheng Wang, Zhiyun Song, Zhenrong Shen, Linlin Yao, Haolei Yuan, Qian Wang, Lichi Zhang
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation. CoRR (2023)
Qiusi Zhang, Xiangyu Zhao, Yanyun Han, Feng Yang, Shouhui Pan, Zhongqiang Liu, Kaiyi Wang, Chunjiang Zhao
Maize yield prediction using federated random forest. Comput. Electron. Agric. 210 (2023)
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
Enhancing Traffic Prediction with Learnable Filter Module. CoRR (2023)
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
User Retention-oriented Recommendation with Decision Transformer. WWW (2023)
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)
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
AutoDenoise: Automatic Data Instance Denoising for Recommendations. CoRR (2023)
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 (2023)
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR (2023)
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 (2023)
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 (2023)
Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. CoRR (2023)
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) (2023)
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
Diffusion Augmentation for Sequential Recommendation. CIKM (2023)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. CoRR (2023)
Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
IMF: Interactive Multimodal Fusion Model for Link Prediction. WWW (2023)
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
Diffusion Model for GPS Trajectory Generation. CoRR (2023)
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)
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)
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 (2023)
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR (2023)
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 (2023)
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 (2023)
Kuang Cheng, Xiangyu Zhao, Wang Zhou, Yi Cao, Shuanghua Yang
Excess Emission Sources Identification via Sparse Monitoring Networks. IEEE Trans. Ind. Informatics 19 (10) (2023)
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
Diffusion Augmentation for Sequential Recommendation. CoRR (2023)
Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang
Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. KDD (2023)
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
AutoTransfer: Instance Transfer for Cross-Domain Recommendations. SIGIR (2023)
Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR (2023)
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 (2023)
Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang
Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis. MICCAI (8) (2023)
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR (2023)
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)
Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
IMF: Interactive Multimodal Fusion Model for Link Prediction. CoRR (2023)
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 (2023)
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. NeurIPS (2023)
Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. WWW (2023)
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 (2023)
Haobo Xu, Jun Zhou, Renjie Pan, Hua Yang, Cunyan Li, Xiangyu Zhao
Matching-to-Detecting: Establishing Dense and Reliable Correspondences Between Images. PRCV (2) (2023)
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)
Manman Fei, Xin Zhang, Maosong Cao, Zhenrong Shen, Xiangyu Zhao, Zhiyun Song, Qian Wang, Lichi Zhang
Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement. MICCAI (6) (2023)
Hewu Xu, Yupei Yang, Bin Gao, Xiangyu Zhao, Wai Lok Woo
Multilayer Feature Boosting Framework for Pipeline Inspection Using an Intelligent Pig System. IEEE Trans. Ind. Informatics 19 (7) (2023)
Yuqi Hu, Xiangyu Zhao, Gaowei Qing, Kai Xie, Chenglei Liu, Lichi Zhang
CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning. CoRR (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. SIGIR (2023)
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
AutoDenoise: Automatic Data Instance Denoising for Recommendations. WWW (2023)
Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. MICCAI (4) (2023)
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. CoRR (2023)
Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. SIGIR (2023)
Xiangyu Zhao, Jingliang Hu, Lichao Mou, Zhitong Xiong, Xiao Xiang Zhu
Cross-city Landuse classification of remote sensing images via deep transfer learning. Int. J. Appl. Earth Obs. Geoinformation 122 (2023)
Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Qian Wang, Xuehai Wu, Lichi Zhang
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images. CoRR (2023)
Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
AutoMLP: Automated MLP for Sequential Recommendations. CoRR (2023)
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)
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 (2023)
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
User Retention-oriented Recommendation with Decision Transformer. CoRR (2023)
Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li
Counterfactual Adversarial Learning for Recommendation. CIKM (2023)
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI (2023)
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 (2023)
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)
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)
Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng
Domain Generalization for Mammographic Image Analysis via Contrastive Learning. CoRR (2023)
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)
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)
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) (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Jialin Liu, Xinyan Su, Peng Zhou, Xiangyu Zhao, Jun Li
A General Neural Causal Model for Interactive Recommendation. CoRR (2023)
Qidong Liu, Jiaxi Hu, Yutian Xiao, Jingtong Gao, Xiangyu Zhao
Multimodal Recommender Systems: A Survey. CoRR (2023)
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)
Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification. MICCAI (4) (2023)
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)
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)
Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao
Will More Expressive Graph Neural Networks do Better on Generative Tasks? CoRR (2023)
Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR (2023)
Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis. CoRR (2023)
Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng
Towards Robust Knowledge Tracing Models via k-Sparse Attention. SIGIR (2023)
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
HAMUR: Hyper Adapter for Multi-Domain Recommendation. CoRR (2023)
Ziyu Tao, Shixiang Wang, Chenxu Wu, Tao Wu, Xiangyu Zhao, Wei Ning, Guangshuai Wang, Jinyu Wang, Jing Chen, Kaixuan Diao, Fuxiang Chen, Xue-Song Liu
The repertoire of copy number alteration signatures in human cancer. Briefings Bioinform. 24 (2) (2023)
Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin
Automatic Data Repair: Are We Ready to Deploy? CoRR (2023)
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. WWW (2023)
Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. CoRR (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiangyu Zhao