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 Large Language Model, coupled with their Applications including search, recommendation, advertising, marketing and risk management.

Research Interest

Publications

(* means equal contributions or corresponding authors)
  1. Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW, 2024 (CCF A)
    Yuling Wang, Changxin Tian, BinBin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
  2. Not All Negatives AreWorth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM, 2024 (CCF B)
    Yakun Wang, BinBin Hu*, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
    [paper]
  3. PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM, 2024 (CCF B)
    Chunjing Gan, Bo Huang, BinBin Hu*, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
    [paper]
  4. Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM, 2023 (CCF B)
    Changxin Tian, BinBin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
    [paper]
  5. Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. SIGKDD, 2023 (CCF A)
    Xiaoling Zang*, BinBin Hu*, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
    [paper] [slide] [poster]
  6. Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR, 2023 (CCF A)
    Chunjing Gan*, Binbin Hu*, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
    [paper]
  7. COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR, 2023 (CCF A)
    Sicong Xie*, BinBin Hu*, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
    [paper]
  8. Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW, 2023 (CCF A)
    Xiaoyan Yang*, Dong Wang*, Binbin Hu*, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang
    [paper]
  9. GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE, 2023 (CCF A)
    Weifan Wang*, Binbin Hu*, Zhicheng Peng*, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
    [paper]
  10. Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE, 2023 (CCF A)
    Dan Yang*, Binbin Hu*, Xiaoyan Yang*, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
    [paper]
  11. InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE, 2023 (CCF A)
    Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
    [paper]
  12. REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. AAAI, 2023 (CCF A)
    Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo
    [paper]
  13. A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA, 2023 (CCF B)
    Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
    [paper]
  14. Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA, 2023 (CCF B)
    Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao
    [paper]
  15. Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI, 2022 (CCF C)
    Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
    [paper]
  16. Intent mining: A social and semantic enhanced topic model for operation-friendly digital marketing. ICDE, 2022. (CCF A)
    Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo
    [paper]
  17. Gaia: Graph neural network with temporal shift aware attention for gross merchandise value forecast in e-commerce. ICDE, 2022. (CCF A)
    Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
    [paper]
  18. MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI, 2022. (CCF A)
    BinBin Hu*, Zhengwei Wu*, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
    [paper]
  19. CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR, 2022. (CCF A)
    Yupeng Hou, BinBin Hu*, Zhiqiang Zhang, Wayne Xin Zhao
    [paper]
  20. An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. WSDM, 2022. (CCF A)
    Qian Zhao, Shuo Yang, BinBin Hu*, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi
    [paper]
  21. Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. TheWebConf, 2022. (CCF A)
    Hongrui Liu, BinBin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
    [paper]
  22. Neural Graph Matching for Pre-training Graph Neural Networks. SDM, 2022. (CCF B)
    Yupeng Hou, BinBin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
    [paper]
  23. Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI, 2022. (CCF A)
    Deyu Bo, BinBin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
    [paper]
  24. Counterfactual Review-based Recommendation. CIKM, 2021. (CCF B)
    Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
    [paper]
  25. GRN: Generative Rerank Network for Context-wise Recommendation. arXiv preprint, 2021.
    Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou
    [paper]
  26. Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. PKDD/ECML, 2021. (CCF B)
    Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Hongyu Shan, Jun Zhou, Yuetian Cao, Borui Ye, and Yanming Fang.
    [paper]
  27. A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. ApWeb/WAIM, 2021. (CCF C)
    Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, and Yanming Fang.
    [paper]
  28. IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE, 2021. (CCF A)
    Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li.
    [paper]
  29. Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI, 2021. (CCF A)
    Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye.
    [paper]
  30. Graph Attention Networks for New Product Sales Forecasting in E-Commerce. DASFAA, 2021. (CCF B)
    Chuanyu Xu, Xiuchong Wang, Binbin Hu, Da Zhou, Yu Dong, Chengfu Huo, Weijun Ren.
    [paper]
  31. Loan Defaulter Analysis with Multiplex Graph Learning. CIKM, 2020. (CCF B)
    Binbin Hu, Zhiqiang Zhang, Jun Zhou∗, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi.
    [paper]
  32. MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CIKM, 2020. (CCF B)
    Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou.
    [paper]
  33. EdgeRec: Recommender System on Edge in Mobile Taobao. CIKM, 2020. (CCF B)
    Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou.
    [paper]
  34. ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR, 2020. (CCF A)
    *Yufei Feng, *Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou.
    [paper]
  35. KGNN: Distributed Framework for Graph Neural Knowledge Representation. ICML-ILRGNN, 2020.
    Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi.
    [paper] [slide]
  36. Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. WWW, 2020. (CCF A)
    Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He.
    [paper] [slide]
  37. Multiplex Memory Network for Collaborative Filtering. SDM, 2020. (CCF B)
    Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi.
    [paper] [code&data]
  38. Adversarial Learning on Heterogeneous Information Networks. SIGKDD, 2019. (CCF A)
    Binbin Hu, Yuan Fang, Chuan Shi.
    [paper] [slide] [poster] [code&data]
  39. Cash-out User Detection based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI, 2019. (CCF A)
    Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi.
    [paper] [slide]
  40. Leveraging Meta-path based Context for Top-n Recommendation with a Neural Co-attention Model. SIGKDD, 2018. (CCF A) Most influential papers in KDD 2020 (TOP 15) by PaperDigest
    Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S Yu.
    [paper] [slide] [poster] [code&data]
  41. Heterogeneous Information Network Embedding for Recommendation. TKDE, 2018. (CCF A) ESI highly cited paper!
    Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S Yu
    [paper] [slide] [code&data]
  42. Local and Global Information Fusion for Top-n Recommendation in Heterogeneous Information Network. CIKM, 2018. (CCF B)
    Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang.
    [paper] [poster] [code&data]
  43. Matrix Factorization Meets Social Network Embedding for Rating Prediction. APWeb-WAIM, 2018. (CCF C)
    Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang.
    [paper]
  44. MFPR: A Personalized Ranking Recommendation with Multiple Feedback. TSC, 2018. (CCF B)
    Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S Yu.
    [paper]
  45. ANE: Network Embedding via Adversarial Autoencoders. BigComp, 2018.
    Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi.
    [paper]
  46. Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD, 2017. (CCF C)
    Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S Yu.
    [paper]
  47. Local Low-rank Matrix Approximation with Preference Selection of Anchor Points. WWW Companion, 2017.
    Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang.
    [paper]
  48. Playlist Recommendation based on Reinforcement Learning. ICIS, 2017.
    Binbin Hu, Chuan Shi, Jian Liu.
    [paper]

Academic Service

Selected Awards