Xiaokai Chu (储晓恺)

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Xiaokai Chu (储晓恺)
Ph.D.
Quantitative Researcher in Zhonggeng Fund Co.,Ltd, Shanghai, China
Email: xiaokaichu@gmail.com

[Google Scholar] [DBLP] [GitHub]

Biography


I am now a Quantitative Researcher of Zhonggeng Fund Co.,Ltd, Shanghai. Before that, I was a Senior Algorithm Engineer of Tencent Inc., CDG.
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

Zhonggeng Fund Co.,Ltd, Shanghai [2023.9 ~ Now] Tencent Inc., Shanghai [2022.7 ~ 2023.08] Baidu Inc., Beijing [2021.4 ~ 2022.6] Institute of Computing Technology, Chinese Academy of Sciences, Beijing [2016.9 ~ 2022.6] University of Science and Technology of China (USTC), Hefei, Anhui [2012.9 ~ 2016.6]

Research Interests

My research interests including: Web Mining and Machine Learning. I am currently focusing on:

Publications

(* denotes fair contribution)
  • CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.
    Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi
    In Proceedings of the IEEE International Conference on Data Engineering. (ICDE'24 CCF-A)

  • Whole Page Unbiased Learning to Rank.
    Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin.
    In Proceedings of ACM Web Conference. (WWW'24 CCF-A). [Paper]

  • Pre-trained Language Model-based Retrieval and Ranking for Web Search.
    Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
    ACM Trans. Web 17(1): 4:1-4:36 (2023) (TWEB CCF-B)

  • A Large Scale Search Dataset for Unbiased Learning to Rank.
    Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin.
    In Proceedings of the Conference on Neural Information Processing Systems. (NeurIPS'22 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.
    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