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An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.
WSDM, 2022.
Qian Zhao, Shuo Yang, BinBin Hu*, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi
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Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
TheWebConf, 2022.
Hongrui Liu, BinBin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
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Neural Graph Matching for Pre-training Graph Neural Networks.
SDM, 2022.
Yupeng Hou, BinBin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
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Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.
AAAI, 2022.
Deyu Bo, BinBin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
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Counterfactual Review-based Recommendation.
CIKM, 2021.
Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
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GRN: Generative Rerank Network for Context-wise Recommendation.
arXiv preprint, 2021.
Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou
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Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.
PKDD/ECML, 2021.
Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Hongyu Shan, Jun Zhou, Yuetian Cao, Borui Ye, and Yanming Fang.
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A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.
ApWeb/WAIM, 2021.
Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, and Yanming Fang.
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IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.
ICDE, 2021.
Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li.
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Heterogeneous Graph Structure Learning for Graph Neural Networks.
AAAI, 2021.
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye.
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Graph Attention Networks for New Product Sales Forecasting in E-Commerce.
DASFAA, 2021.
Chuanyu Xu, Xiuchong Wang, Binbin Hu, Da Zhou, Yu Dong, Chengfu Huo, Weijun Ren.
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Loan Defaulter Analysis with Multiplex Graph Learning.
CIKM, 2020.
Binbin Hu, Zhiqiang Zhang, Jun Zhou∗, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi.
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MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.
CIKM, 2020.
Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou.
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EdgeRec: Recommender System on Edge in Mobile Taobao.
CIKM, 2020.
Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou.
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ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation.
SIGIR, 2020.
*Yufei Feng, *Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou.
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KGNN: Distributed Framework for Graph Neural Knowledge Representation.
ICML-ILRGNN, 2020.
Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi.
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Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network.
WWW, 2020.
Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He.
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Multiplex Memory Network for Collaborative Filtering.
SDM, 2020.
Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi.
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Adversarial Learning on Heterogeneous Information Networks.
SIGKDD, 2019.
Binbin Hu, Yuan Fang, Chuan Shi.
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Cash-out User Detection based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.
AAAI, 2019.
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi.
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Leveraging Meta-path based Context for Top-n Recommendation with a Neural Co-attention Model.
SIGKDD, 2018.
Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S Yu.
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Heterogeneous Information Network Embedding for Recommendation.
TKDE, 2018.
Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S Yu
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Local and Global Information Fusion for Top-n Recommendation in Heterogeneous Information Network.
CIKM, 2018.
Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang.
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Matrix Factorization Meets Social Network Embedding for Rating Prediction.
APWeb-WAIM, 2018.
Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang.
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MFPR: A Personalized Ranking Recommendation with Multiple Feedback.
TSC, 2018.
Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S Yu.
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ANE: Network Embedding via Adversarial Autoencoders.
BigComp, 2018.
Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi.
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Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
PAKDD, 2017.
Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S Yu.
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Local Low-rank Matrix Approximation with Preference Selection of Anchor Points.
WWW Companion, 2017.
Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang.
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Playlist Recommendation based on Reinforcement Learning.
ICIS, 2017.
Binbin Hu, Chuan Shi, Jian Liu.
- Conference Reviewer: KDD 2022, WSDM 2022 ECML/PKDD 2021, IJCAI 2021, WWW 2022/2021/2020, AAAI 2022/2021, ICONIP2020
- Journal Reviewer: IEEE TKDD, ACM TOIS, IEEE Transactions on Cybernetics, Information Sciences, IEEE Access, FCS
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- WSDM CUP 2022 ("Temporal Link Prediction" track): First place
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- National Scholar in BUPT: 2019
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- Excellent Master Dissertation in BUPT: 2019
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- American College Mathematical Modeling Contest Meritorious Winner