Binbin Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
18
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs. | Meixiu Long, Duolin Sun, Dan Yang, Yihan Jiao, Lei Liu, Jiahai Wang, Binbin Hu, Yue Shen, Jie Feng, Zhehao Tan, Junjie Wang, Lianzhen Zhong, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | WWW | Token-level Collaborative Alignment for LLM-based Generative Recommendation. | Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu |
| 2025 | AAAI | Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2025 | ACL | Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. | Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang |
| 2025 | ACL | Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen |
| 2025 | CIKM | Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. | Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2025 | ICDE | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. | Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang |
| 2025 | ICLR | Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2025 | WWW | Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. | Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang |
| 2025 | WSDM | Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. | Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen |
| 2025 | WSDM | How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. | Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang |
| 2025 | WSDM | Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. | Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang |
| 2024 | CIKM | The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. | Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen |
| 2024 | CIKM | To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. | Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang |
| 2024 | DASFAA | Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. | Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou |
| 2024 | EMNLP | Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. | Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen |
| 2024 | GLOBECOM | Non-Stationary QoE-Driven Online Transmission Strategy for Tile-Based 360 Degree Video. | Chang Feng, Shan Zhang, Zhiyuan Wang, Binbin Hu, Hongbin Luo |
| 2024 | GLOBECOM | Bidirectional Buffer-Constrained Bitrate Adaptation for Layered 360-degree Video Streaming. | Binbin Hu, Shan Zhang, Chang Feng, Zhiyuan Wang, Hongbin Luo, Xiao Ma |
| 2024 | KDD | DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. | Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu |
| 2024 | KDD | Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. | Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang |
| 2024 | KDD | Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. | Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu |
| 2024 | RecSys | ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. | Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen |
| 2024 | WWW | Can Small Language Models be Good Reasoners for Sequential Recommendation? | Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang |
| 2024 | SIGIR | NativE: Multi-modal Knowledge Graph Completion in the Wild. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2024 | WSDM | PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. | Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong |
| 2024 | WSDM | Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. | Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He |
| 2023 | AAAI | REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. | Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo |
| 2023 | CIKM | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. | Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou |
| 2023 | DASFAA | Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. | Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao |
| 2023 | DASFAA | A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. | Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou |
| 2023 | ICDE | GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. | Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou |
| 2023 | ICDE | Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. | Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang |
| 2023 | ICDE | InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. | Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou |
| 2023 | KDD | Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. | Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong |
| 2023 | WWW | Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. | Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang |
| 2023 | SIGIR | Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. | Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi |
| 2023 | SIGIR | COUPA: An Industrial Recommender System for Online to Offline Service Platforms. | Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou |
| 2022 | AAAI | Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. | Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou |
| 2022 | ICDE | Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. | Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo |
| 2022 | ICDE | Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. | Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang |
| 2022 | IJCAI | MERIT: Learning Multi-level Representations on Temporal Graphs. | Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen |
| 2022 | PRICAI | Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. | Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou |
| 2022 | WWW | Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. | Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou |
| 2022 | SIGIR | CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. | Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao |
| 2022 | SDM | Neural Graph Matching for Pre-training Graph Neural Networks. | Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen |
| 2021 | AAAI | Heterogeneous Graph Structure Learning for Graph Neural Networks. | Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye |
| 2021 | APWEB | A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. | Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang |
| 2021 | CIKM | Counterfactual Review-based Recommendation. | Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou |
| 2021 | DASFAA | Graph Attention Networks for New Product Sales Forecasting in E-Commerce. | Chuanyu Xu, Xiuchong Wang, Binbin Hu, Da Zhou, Yu Dong, Chengfu Huo, Weijun Ren |
| 2021 | ICDE | IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. | Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li |
| 2020 | CIKM | MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. | Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou |
| 2020 | CIKM | EdgeRec: Recommender System on Edge in Mobile Taobao. | Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou |
| 2020 | CIKM | Loan Default Analysis with Multiplex Graph Learning. | Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi |
| 2020 | WWW | Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. | Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He |
| 2020 | SIGIR | ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. | Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou |
| 2020 | SDM | Multiplex Memory Network for Collaborative Filtering. | Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi |
| 2019 | AAAI | Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. | Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi |
| 2019 | GLOBECOM | Relay Selection Strategy (RSS) Design for In-Vehicle Storage (IVS) System. | Binbin Hu, Rongqing Zhang, Luoyang Fang, Xiang Cheng, Liuqing Yang |
| 2019 | KDD | Adversarial Learning on Heterogeneous Information Networks. | Binbin Hu, Yuan Fang, Chuan Shi |
| 2018 | APWEB | Matrix Factorization Meets Social Network Embedding for Rating Prediction. | Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang |
| 2018 | CIKM | Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. | Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang |
| 2018 | GLOBECOM | Relay-and-Repair Based in-Vehicle Storage (R | Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang |
| 2018 | KDD | Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. | Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu |
| 2017 | PAKDD | Personalized Ranking Recommendation via Integrating Multiple Feedbacks. | Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu |
| 2017 | WWW | Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points. | Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang |