Binbin Hu

According to our database, Binbin Hu authored at least 72 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation.

Binbin Hu, Pan Zhou, Hongfang Yu, Yueyue Dai, Ming Wang, Shengbo Tan, Ying Sun

Comput. Biol. Medicine, February, 2024

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

CoRR, 2024

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.

Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Ziqi Liu, Wen Zhang, Jinjie Gu, Zhiqiang Zhang

CoRR, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Intelligent and Accurate Tobacco Curing via Image Recognition and Data Analysis.

Binbin Hu, Ziyang Meng, Yi Chen, Yonglei Jiang, Chunwei Chang, Zengxiang Ke, Jun Chen, Hao Li

J. Circuits Syst. Comput., November, 2023

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation.

Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang

CoRR, 2023

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.

Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong

CoRR, 2023

Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory.

Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang

CoRR, 2023

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

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.

Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

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

Proceedings of the Database Systems for Advanced Applications, 2023

Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.

Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation.

Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation.

Bowen Xu, Hai-Tao Zhang, Haofei Meng, Binbin Hu, Duxin Chen, Guanrong Chen

IEEE Trans. Syst. Man Cybern. Syst., 2022

Bearing-Only Motional Target-Surrounding Control for Multiple Unmanned Surface Vessels.

Binbin Hu, Hai-Tao Zhang

IEEE Trans. Ind. Electron., 2022

Distributed Surrounding Control of Multiple Unmanned Surface Vessels With Varying Interconnection Topologies.

Binbin Hu, Hai-Tao Zhang, Bin Liu, Haofei Meng, Guanrong Chen

IEEE Trans. Control. Syst. Technol., 2022

Distributed Moving Target Fencing in a Regular Polygon Formation.

Binbin Hu, Zhiyong Chen, Hai-Tao Zhang

IEEE Trans. Control. Netw. Syst., 2022

KGNN: Distributed Framework for Graph Neural Knowledge Representation.

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

CoRR, 2022

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.

Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi

CoRR, 2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.

Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space.

Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Graph Matching for Pre-training Graph Neural Networks.

Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

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

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

MERIT: Learning Multi-level Representations on Temporal Graphs.

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Visual Navigation and Landing Control of an Unmanned Aerial Vehicle on a Moving Autonomous Surface Vehicle via Adaptive Learning.

Hai-Tao Zhang, Binbin Hu, Zhecheng Xu, Zhi Cai, Bin Liu, Xudong Wang, Tao Geng, Sheng Zhong, Jin Zhao

IEEE Trans. Neural Networks Learn. Syst., 2021

Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems.

Binbin Hu, Hai-Tao Zhang, Jun Wang

IEEE Trans. Ind. Electron., 2021

GRN: Generative Rerank Network for Context-wise Recommendation.

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

CoRR, 2021

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.

Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Autonomous Landing Allocation of Multiple Unmanned Aerial Vehicles on Multiple Unmanned Surface Vessels Subject to Energy Consumption.

Jingtian Ye, Binbin Hu, Zhecheng Xu, Bin Liu, Hai-Tao Zhang

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

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

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Multivariate Data Fusion Method Based on 3DGIS and its Application in Engineering Management.

Chengkun Liu, Rui Ma, Binbin Hu, Qingsong Fan

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

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

Proceedings of the Database Systems for Advanced Applications, 2021

Counterfactual Review-based Recommendation.

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation.

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

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multiplex Memory Network for Collaborative Filtering.

Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Loan Default Analysis with Multiplex Graph Learning.

Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

In-Vehicle Caching (IV-Cache) Via Dynamic Distributed Storage Relay (D$^2$SR) in Vehicular Networks.

Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang

IEEE Trans. Veh. Technol., 2019

Heterogeneous Information Network Embedding for Recommendation.

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

IEEE Trans. Knowl. Data Eng., 2019

Maximum-Principle-Satisfying and Positivity-Preserving High Order Central DG Methods on Unstructured Overlapping Meshes for Two-Dimensional Hyperbolic Conservation Laws.

Maojun Li, Haiyun Dong, Binbin Hu, Liwei Xu

J. Sci. Comput., 2019

Adversarial Learning on Heterogeneous Information Networks.

Binbin Hu, Yuan Fang, Chuan Shi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Relay Selection Strategy (RSS) Design for In-Vehicle Storage (IVS) System.

Binbin Hu, Rongqing Zhang, Luoyang Fang, Xiang Cheng, Liuqing Yang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

MFPR: A Personalized Ranking Recommendation with Multiple Feedback.

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

ACM Trans. Soc. Comput., 2018

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Distributed Hunting for Multi USVs Based on Cyclic Estimation and Pursuit.

Binbin Hu, Bin Liu, Zhecheng Xu, Tao Geng, Ye Yuan, Hai-Tao Zhang

Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018

Vehicle-to-Vehicle Distributed Storage in Vehicular Networks.

Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Relay-and-Repair Based in-Vehicle Storage (R²IVS) System in Vehicular Networks.

Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang

Proceedings of the IEEE Global Communications Conference, 2018

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.

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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

ANE: Network Embedding via Adversarial Autoencoders.

Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Matrix Factorization Meets Social Network Embedding for Rating Prediction.

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

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points.

Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Personalized Ranking Recommendation via Integrating Multiple Feedbacks.

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Playlist Recommendation Based on Reinforcement Learning.

Binbin Hu, Chuan Shi, Jian Liu

Proceedings of the Intelligence Science I, 2017

Distributed Consensus Control of Multi-USV Systems.

Bin Liu, Hai-Tao Zhang, Yue Wu, Binbin Hu

Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2015

Weighted bilateral filtering using relative difference between pixels.

Li Ma, Yuqi Zhang, Binbin Hu, Ming-Yang Zheng

Proceedings of the Seventh International Conference on Digital Image Processing, 2015

GIS-based indoor pedestrian evacuation simulation combining the particle swarm optimization and the floor field model.

Wei Zhang, Yong Zhou, Wenjun Tian, Binbin Hu

Proceedings of the 23rd International Conference on Geoinformatics, 2015

2014

An Important Frame Distinction Model of Stereoscopic Video Based on Content.

Xiaodong Wang, Tengfei Wang, Binbin Hu, Gangyi Jiang, Lianjun Zhang

J. Multim., 2014