Xiaokai Chu (储晓恺)
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Biography
I am a Senior Algorithm Engineer of Tencent Inc., CDG.
Before that, I received the B.Sc. degree in University of Science and Technology of China (USTC) in June 2016.
I obtained my Ph.D. degree in June 2022, under the supervision of Prof. Jingping Bi at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS)
Education & Academic visits
- Senior Algorithm Engineer
- Research Scientist (Intern) at Search Science Lab
Ph.D. in Computer Science and Technology
- B.Sc. in Computer Science and Technology
Research Interests
Graph Neural Networks
Network Alignment
Pre-training Language Models
Online Learning-to-Rank
Publications
(* denotes fair contribution)Whole Page Unbiased Learning to Rank.
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin.
Preprint on arXiv. [Paper]
A Large Scale Search Dataset for Unbiased Learning to Rank.
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin.
To appear on NeurIPS 2022, CCF-A [Paper][Code]
Pre-trained Language Model based Retrieval and Ranking for Web Search.
Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Dating Shi, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin.
To appear on ACM Transactions on the Web (TWEB), CCF-B
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.
Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi.
In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD'22 CCF-A)
A Hierarchical Multi-Granularity Pre-Trained Language Model for Web Search.
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin.
In Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR'22 CCF-A)[Paper]
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.
Wenbin Li*, Xiaokai Chu*, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi.
In Proceedings of the ACM Web Conference. (WWW'22 CCF-A)[Paper]
Contrastive Disentangled Graph Convolutional Network for Weakly-supervised Node Classification.
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Dawei Yin, Lixin Zou, Jingping Bi.
In Proceedings of Database Systems for Advanced Applications. (DASFAA'22 CCF-B)[Paper]
Variational Cross-Network Embedding for Anonymized User Identity Linkage.
Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi.
In Proceedings of the ACM International Conference on Information and Knowledge Management. (CIKM'21 CCF-B)[Paper]
Position-Aware Network Representation Learning via K-Step Mutual Information Estimation.
Xiaokai Chu, Xinxin Fan, Jingping Bi.
Journal of Computer Research and Development, 2021, 58(8)
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks.
Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang, Jingping Bi.
In Proceedings of the ACM International Conference on Information and Knowledge Management. (CIKM'20 CCF-B)[Paper]
HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification.
Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi.
In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD'20 CCF-A)[Paper][Code]
Noise-Aware Network Embedding for Multiplex Network.
Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi.
In Proceedings of International Joint Conference on Neural Networks. (IJCNN'19 CCF-C)[Paper]
Cross-Network Embedding for Multi-Network Alignment.
Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi.
In Proceedings of the ACM Web Conference. (WWW'19 CCF-A)[Paper][Code]
Conference Reviewer
2023: NeurIPS, SIGKDD, WWW, SIGKDD, PKDD
2022: SIGKDD, SIGIR
2021: CCL
Industry Collaborations
Research collaboration with Netease for mobile game bot dectection, 2020-2021
Research collaboration with Huawei for intelligent server configuration, 2018-2019