Yao Zhang

According to our database, Yao Zhang authored at least 50 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LAMEE: a light all-MLP framework for time series prediction empowering recommendations.

Yi Xie, Yun Xiong, Xiaofeng Gao, Jiadong Chen, Yao Zhang, Xian Wu, Chao Chen

World Wide Web (WWW), March, 2024

2023

Temporal super-resolution traffic flow forecasting via continuous-time network dynamics.

Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu

Knowl. Inf. Syst., November, 2023

ReCo:Residential Community Layout Planning Dataset.

Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye

Dataset, March, 2023

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding.

Yucheng Jin, Yun Xiong, Dan Shi, Yifei Lin, Lifang He, Yao Zhang, Joseph M. Plasek, Li Zhou, David W. Bates, Chunlei Tang

J. Am. Medical Informatics Assoc., February, 2023

SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding.

Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun

CoRR, 2023

TIGER: Temporal Interaction Graph Embedding with Restarts.

Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu

Proceedings of the ACM Web Conference 2023, 2023

ConsRec: Learning Consensus Behind Interactions for Group Recommendation.

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu

Proceedings of the ACM Web Conference 2023, 2023

Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting.

Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Automatic Code Annotation Generation Based on Heterogeneous Graph Structure.

Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong, Shanshan Li

Proceedings of the IEEE International Conference on Software Analysis, 2023

ReCo: A Dataset for Residential Community Layout Planning.

Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Improving Code Search with Multi-Modal Momentum Contrastive Learning.

Zejian Shi, Yun Xiong, Yao Zhang, Zhijie Jiang, Jinjing Zhao, Lei Wang, Shanshan Li

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Explaining Temporal Graph Models through an Explorer-Navigator Framework.

Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation.

Xing Jia, Yun Xiong, Yao Zhang, Li Luo

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

DynamiSE: Dynamic Signed Network Embedding for Link Prediction.

Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.

Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu

Proceedings of the Database Systems for Advanced Applications, 2023

MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs.

Mingxia Wang, Peng Tian, Yun Xiong, Jingwen Yue, Yao Zhang, Chunlei Tang

Proceedings of the Database Systems for Advanced Applications, 2023

Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.

Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang

Proceedings of the Database Systems for Advanced Applications, 2023

RDGSL: Dynamic Graph Representation Learning with Structure Learning.

Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation.

Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dual Intents Graph Modeling for User-centric Group Discovery.

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-task attributed graphical lasso and its application in fund classification.

Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu

World Wide Web, 2022

Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs.

Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu

Knowl. Inf. Syst., 2022

Exploring the form of big data products and the supporting systems.

Yazhen Ye, Yao Zhang, Yangyong Zhu

J. Big Data, 2022

Triangle Graph Interest Network for Click-through Rate Prediction.

Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

CLARE: A Semi-supervised Community Detection Algorithm.

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cross-Modal Contrastive Learning for Code Search.

Zejian Shi, Yun Xiong, Xiaolong Zhang, Yao Zhang, Shanshan Li, Yangyong Zhu

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat.

Zian Jia, Xiaosu Wang, Yun Xiong, Yao Zhang, Jinjing Zhao

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification.

Hao Niu, Yun Xiong, Jian Gao, Zhongchen Miao, Xiaosu Wang, Hongrun Ren, Yao Zhang, Yangyong Zhu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation.

Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment.

Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

IGE+: A Framework for Learning Node Embeddings in Interaction Graphs.

Yao Zhang, Yun Xiong, Xiangnan Kong, Zhuang Niu, Yangyong Zhu

IEEE Trans. Knowl. Data Eng., 2021

AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation.

Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu

Proceedings of the WSDM '21, 2021

Reinforcement Learning Enhanced Explainer for Graph Neural Networks.

Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval.

Yu Duan, Yun Xiong, Yao Zhang, Yuwei Fu, Yangyong Zhu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.

Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

How Powerful is Graph Convolution for Recommendation?

Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation.

Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang, Yangyong Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Radiology Report Generation for Rare Diseases via Few-shot Transformer.

Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A measure based pricing framework for data products.

Yazhen Ye, Yao Zhang, Guohua Liu, Yangyong Zhu

Web Intell., 2020

SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.

Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning.

Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

CommDGI: Community Detection Oriented Deep Graph Infomax.

Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Few-shot Radiology Report Generation for Rare Diseases.

Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Multi-task Attributed Graphical Lasso.

Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking.

Tianyi Tao, Yun Xiong, Guosen Wang, Yao Zhang, Peng Tian, Yangyong Zhu

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks.

Yao Zhang, Yun Xiong, Lu Ruan, Xiangnan Kong, Yangyong Zhu

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.

Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu

Proceedings of the Database Systems for Advanced Applications, 2019

2017

Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.

Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

BiCycle: Item Recommendation with Life Cycles.

Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Learning Node Embeddings in Interaction Graphs.

Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017