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2020 – today
- 2024
[c14]Yihang Cheng, Lan Zhang, Junyang Wang, Xiaokai Chu, Dongbo Huang, Lan Xu:
FedMix: Boosting with Data Mixture for Vertical Federated Learning. ICDE 2024: 3379-3392- [c13]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: 4477-4490 - [c12]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c11]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin:
Whole Page Unbiased Learning to Rank. WWW 2024: 1431-1440 - 2023
- [j2]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): 4:1-4:36 (2023) - 2022
- [c10]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: 722-730 - [c9]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: 3941-3949 - [c8]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 - [c7]Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin:
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR 2022: 1478-1489 - [c6]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: 3367-3375 - [i2]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 abs/2207.03051 (2022) - [i1]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin:
Whole Page Unbiased Learning to Rank. CoRR abs/2210.10718 (2022) - 2021
- [j1]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): 5525-5542 (2021) - [c5]Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi:
Variational Cross-Network Embedding for Anonymized User Identity Linkage. CIKM 2021: 2955-2959 - 2020
- [c4]Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang, Jingping Bi:
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks. CIKM 2020: 1923-1932 - [c3]Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi:
HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. KDD 2020: 1161-1171
2010 – 2019
- 2019
- [c2]Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi:
Noise-Aware Network Embedding for Multiplex Network. IJCNN 2019: 1-8 - [c1]Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi:
Cross-Network Embedding for Multi-Network Alignment. WWW 2019: 273-284
Coauthor Index
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