Xiaokai Chu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Direct Optimization

Convolutional Network

Top Venues

Publications

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
Whole Page Unbiased Learning to Rank. WWW (2024)
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
R: Learning to Online Learning to Rank for Web Search. ICDE (2024)
Yihang Cheng, Lan Zhang, Junyang Wang, Xiaokai Chu, Dongbo Huang, Lan Xu
FedMix: Boosting with Data Mixture for Vertical Federated Learning. ICDE (2024)
Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. ICDE (2024)
Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web 17 (1) (2023)
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR (2022)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
Whole Page Unbiased Learning to Rank. CoRR (2022)
Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng
Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. KDD (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR (2022)
Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. WWW (2022)
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. DASFAA (1) (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS (2022)
Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi
Variational Cross-Network Embedding for Anonymized User Identity Linkage. CIKM (2021)
Feng Yang, Liang Xu, Xiaokai Chu, Shenwen Wang
A new dominance relation based on convergence indicators and niching for many-objective optimization. Appl. Intell. 51 (8) (2021)
Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang, Jingping Bi
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks. CIKM (2020)
Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi
HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. KDD (2020)
Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi
Cross-Network Embedding for Multi-Network Alignment. WWW (2019)
Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi
Noise-Aware Network Embedding for Multiplex Network. IJCNN (2019)