Binbin Hu(胡斌斌)

Algorithm Expert@Ant Group

hubinbin AT bupt DOT cn

Github Scholar

Biography

I obtained my Master's degree in June 2019 in School of Computer Science, Beijing University of Posts and Telecommunications (BUPT), supervised by Prof. Chuan Shi. During my master life, I collaborated with Prof. Wayne Xin Zhao, Renmin University of China. I also worked as a visiting research student in Singapore Management University, supervised by Prof. Yuan Fang. I received my Bachelor's degree from BUPT, in 2016.

Currently, I work as a algorithm expert in the Ant Group from July 2019, devoting to Graph Machine Learning and its Applications.

Research Interest

Recommender System
Heterogeneous Information Networks
Data Mining
Graph Machine Learning

Publications

(* means equal contributions or corresponding authors)

MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI, 2022.

BinBin Hu*, Zhengwei Wu*, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

[paper]
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR, 2022.

Yupeng Hou, BinBin Hu*, Zhiqiang Zhang, Wayne Xin Zhao

[paper]
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

[paper]
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

[paper]
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

[paper]
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI, 2022.

Deyu Bo, BinBin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou

[paper]
Counterfactual Review-based Recommendation. CIKM, 2021.

Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou

[paper]
GRN: Generative Rerank Network for Context-wise Recommendation. arXiv preprint, 2021.

Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

[paper]
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.

[paper]
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.

[paper]
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.

[paper]
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI, 2021.

Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye.

[paper]
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.

[paper]
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.

[paper]
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.

[paper]
EdgeRec: Recommender System on Edge in Mobile Taobao. CIKM, 2020.

Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou.

[paper]
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR, 2020.

*Yufei Feng, *Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou.

[paper]
KGNN: Distributed Framework for Graph Neural Knowledge Representation. ICML-ILRGNN, 2020.

Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi.

[paper] [slide]
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.

[paper] [slide]
Multiplex Memory Network for Collaborative Filtering. SDM, 2020.

Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi.

[paper] [code&data]
Adversarial Learning on Heterogeneous Information Networks. SIGKDD, 2019.

Binbin Hu, Yuan Fang, Chuan Shi.

[paper] [slide] [poster] [code&data]
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.

[paper] [slide]
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.

[paper] [slide] [poster] [code&data]
Heterogeneous Information Network Embedding for Recommendation. TKDE, 2018.

Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S Yu

[paper] [slide] [code&data]
Local and Global Information Fusion for Top-n Recommendation in Heterogeneous Information Network. CIKM, 2018.

Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang.

[paper] [poster] [code&data]
Matrix Factorization Meets Social Network Embedding for Rating Prediction. APWeb-WAIM, 2018.

Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang.

[paper]
MFPR: A Personalized Ranking Recommendation with Multiple Feedback. TSC, 2018.

Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S Yu.

[paper]
ANE: Network Embedding via Adversarial Autoencoders. BigComp, 2018.

Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi.

[paper]
Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD, 2017.

Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S Yu.

[paper]
Local Low-rank Matrix Approximation with Preference Selection of Anchor Points. WWW Companion, 2017.

Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang.

[paper]
Playlist Recommendation based on Reinforcement Learning. ICIS, 2017.

Binbin Hu, Chuan Shi, Jian Liu.

[paper]

Academic Service

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

Selected Awards

- WSDM CUP 2022 ("Temporal Link Prediction" track): First place
- National Scholar in BUPT: 2019
- Excellent Master Dissertation in BUPT: 2019
- American College Mathematical Modeling Contest Meritorious Winner