Binbin Hu

Orcid: 0000-0003-3157-4309

According to our database1, Binbin Hu authored at least 93 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Integrating Curing Experience and Fluctuating Leaf Quality in an Intelligent End-Cloud Collaboration.
J. Circuits Syst. Comput., March, 2024

LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation.
Comput. Biol. Medicine, February, 2024

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective.
CoRR, 2024

MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule.
CoRR, 2024

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation.
CoRR, 2024

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement.
CoRR, 2024

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding.
CoRR, 2024

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts.
CoRR, 2024

Your decision path does matter in pre-training industrial recommenders with multi-source behaviors.
CoRR, 2024

Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion.
CoRR, 2024

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks.
CoRR, 2024

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective.
CoRR, 2024

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion.
CoRR, 2024

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.
CoRR, 2024

Can Small Language Models be Good Reasoners for Sequential Recommendation?
Proceedings of the ACM on Web Conference 2024, 2024

Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

NativE: Multi-modal Knowledge Graph Completion in the Wild.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Intelligent and Accurate Tobacco Curing via Image Recognition and Data Analysis.
J. Circuits Syst. Comput., November, 2023

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation.
CoRR, 2023

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
CoRR, 2023

Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory.
CoRR, 2023

Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

COUPA: An Industrial Recommender System for Online to Offline Service Platforms.
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.
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.
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.
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.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.
Proceedings of the Database Systems for Advanced Applications, 2023

Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Bearing-Only Motional Target-Surrounding Control for Multiple Unmanned Surface Vessels.
IEEE Trans. Ind. Electron., 2022

Distributed Surrounding Control of Multiple Unmanned Surface Vessels With Varying Interconnection Topologies.
IEEE Trans. Control. Syst. Technol., 2022

Distributed Moving Target Fencing in a Regular Polygon Formation.
IEEE Trans. Control. Netw. Syst., 2022

KGNN: Distributed Framework for Graph Neural Knowledge Representation.
CoRR, 2022

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

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
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.
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.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

MERIT: Learning Multi-level Representations on Temporal Graphs.
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.
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.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.
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.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems.
IEEE Trans. Ind. Electron., 2021

GRN: Generative Rerank Network for Context-wise Recommendation.
CoRR, 2021

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.
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.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Multivariate Data Fusion Method Based on 3DGIS and its Application in Engineering Management.
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.
Proceedings of the Database Systems for Advanced Applications, 2021

Counterfactual Review-based Recommendation.
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.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.
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.
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.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multiplex Memory Network for Collaborative Filtering.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Loan Default Analysis with Multiplex Graph Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.
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.
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.
IEEE Trans. Veh. Technol., 2019

Heterogeneous Information Network Embedding for Recommendation.
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.
J. Sci. Comput., 2019

Adversarial Learning on Heterogeneous Information Networks.
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.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
MFPR: A Personalized Ranking Recommendation with Multiple Feedback.
ACM Trans. Soc. Comput., 2018

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model.
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.
Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018

Vehicle-to-Vehicle Distributed Storage in Vehicular Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Relay-and-Repair Based in-Vehicle Storage (R<sup>2</sup>IVS) System in Vehicular Networks.
Proceedings of the IEEE Global Communications Conference, 2018

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

ANE: Network Embedding via Adversarial Autoencoders.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Matrix Factorization Meets Social Network Embedding for Rating Prediction.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Playlist Recommendation Based on Reinforcement Learning.
Proceedings of the Intelligence Science I, 2017

Distributed Consensus Control of Multi-USV Systems.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2015
Weighted bilateral filtering using relative difference between pixels.
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.
Proceedings of the 23rd International Conference on Geoinformatics, 2015

2014
An Important Frame Distinction Model of Stereoscopic Video Based on Content.
J. Multim., 2014


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