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ORCIDXiaozhong Liu
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Publications
- 2022
[c114]Zheng Gao, Chun Guo, Shutian Ma, Xiaozhong Liu:
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-Type Usefulness Distribution. iConference (2) 2022: 68-78- 2021
- [i29]Zheng Gao, Chun Guo, Xiaozhong Liu:
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution. CoRR abs/2105.00627 (2021) - 2020
- [c91]Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu:
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. ECAI 2020: 2022-2029 - [c82]Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu:
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. SIGIR 2020: 139-148 - [c76]Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, Xiaozhong Liu:
Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding. WWW 2020: 1581-1591 - [i17]Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu:
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. CoRR abs/2009.02637 (2020) - [i16]Zheng Gao, Chun Guo, Xiaozhong Liu:
Efficient Personalized Community Detection via Genetic Evolution. CoRR abs/2009.02657 (2020) - 2019
- [j11]Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy J. Yang, Christopher Gessner, Brian Foote, David J. Wild, Ying Ding, Qi Yu
:
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. BMC Bioinform. 20(1): 306:1-306:15 (2019) - [c67]Zheng Gao, Chun Guo, Xiaozhong Liu:
Efficient personalized community detection via genetic evolution. GECCO 2019: 383-391 - [i10]Yongzhen Wang, Xiaozhong Liu, Zheng Gao:
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. CoRR abs/1901.09492 (2019) - [i9]Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu:
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. CoRR abs/1907.06582 (2019) - 2018
- [c58]Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. CIKM 2018: 37-46 - [c56]Yongzhen Wang, Xiaozhong Liu, Zheng Gao:
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. EMNLP 2018: 1776-1786 - [i4]Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding:
edge2vec: Learning Node Representation Using Edge Semantics. CoRR abs/1809.02269 (2018) - [i2]Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. CoRR abs/1812.11786 (2018) - 2016
- [c49]Xiaozhong Liu, Xing Yu, Zheng Gao, Tian Xia, Johan Bollen:
Comparing Community-based Information Adoption and Diffusion Across Different Microblogging Sites. HT 2016: 103-112
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