Xiang Zhao


2015

doi dblp
Towards Scale-out Capability on Social Graphs
Haichuan Shang | Xiang Zhao | R. Uday Kiran | Masaru Kitsuregawa
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

2017

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Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations
Zhen Tan | Xiang Zhao | Wei Wang
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

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Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection
Yifan Chen | Xiang Zhao | Maarten de Rijke
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

2019

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On Continuously Matching of Evolving Graph Patterns
Qianzhen Zhang | Deke Guo | Xiang Zhao | Aibo Guo
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs
Yang Fang | Xiang Zhao | Peixin Huang | Weidong Xiao | Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

2020

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Seasonal-Periodic Subgraph Mining in Temporal Networks
Qianzhen Zhang | Deke Guo | Xiang Zhao | Xinyi Li | Xi Wang
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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Degree-Aware Alignment for Entities in Tail
Weixin Zeng | Xiang Zhao | Wei Wang | Jiuyang Tang | Zhen Tan
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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Local Variational Feature-Based Similarity Models for Recommending Top-N New Items
Yifan Chen | Yang Wang | Xiang Zhao | Hongzhi Yin | Ilya Markov | Maarten de Rijke
2020 Volume 38 Issue 2

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Block-Aware Item Similarity Models for Top-N Recommendation
Yifan Chen | Yang Wang | Xiang Zhao | Jie Zou | Maarten de Rijke
2020 Volume 38 Issue 4

2021

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Reinforced Active Entity Alignment
Weixin Zeng | Xiang Zhao | Jiuyang Tang | Changjun Fan
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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Learning Discriminative Neural Representations for Event Detection
Jinzhi Liao | Xiang Zhao | Xinyi Li | Lingling Zhang | Jiuyang Tang
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Reinforcement Learning-based Collective Entity Alignment with Adaptive Features
Weixin Zeng | Xiang Zhao | Jiuyang Tang | Xuemin Lin | Paul Groth
2021 Volume 39 Issue 3

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Continuous matching of evolving patterns over dynamic graph data
Qianzhen Zhang | Deke Guo | Xiang Zhao | Xi Wang
2021 Volume 24 Issue 3

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To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs
Jinzhi Liao | Xiang Zhao | Jiuyang Tang | Weixin Zeng | Zhen Tan
2021 Volume 24 Issue 5

2022

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Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs
Yang Fang | Xiang Zhao | Peixin Huang | Weidong Xiao | Maarten de Rijke
2022 Volume 40 Issue 4

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Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension
Jinzhi Liao | Xiang Zhao | Xinyi Li | Jiuyang Tang | Bin Ge
2022 Volume 25 Issue 3