Hongke Zhao

Orcid: 0000-0003-3099-4803

According to our database1, Hongke Zhao authored at least 86 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
A general tail item representation enhancement framework for sequential recommendation.
Frontiers Comput. Sci., December, 2024

Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Cross-Domain Recommendation via Progressive Structural Alignment.
IEEE Trans. Knowl. Data Eng., June, 2024

A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Does academic engagement with industry come at a cost for early career scientists? Evidence from high-tech enterprises' Ph.D. funding programs.
Inf. Process. Manag., March, 2024

SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction.
ACM Trans. Web, February, 2024

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024

MOREM: An evolutionary multitasking optimization algorithm for multi-objective recommendations.
Inf. Sci., 2024

Team formation in large organizations: A deep reinforcement learning approach.
Decis. Support Syst., 2024

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts.
CoRR, 2024

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation.
CoRR, 2024

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach.
CoRR, 2024

Dr.E Bridges Graphs with Large Language Models through Words.
CoRR, 2024

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling.
CoRR, 2024

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning.
CoRR, 2024

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry.
J. Comput. Sci. Technol., December, 2023

Multi-view enhanced zero-shot node classification.
Inf. Process. Manag., November, 2023

A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng., June, 2023

A Sequence and Network Embedding Method for Bus Arrival Time Prediction Using GPS Trajectory Data Only.
IEEE Trans. Intell. Transp. Syst., May, 2023

Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag., May, 2023

Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation.
ACM Trans. Inf. Syst., April, 2023

perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games.
ACM Trans. Inf. Syst., January, 2023

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data, 2023

Individual identification of cashmere goats via method of fusion of multiple optimization.
Comput. Animat. Virtual Worlds, 2023

Lender retention of online prosocial lending: a self-determination perspective.
Internet Res., 2023

An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems.
INFORMS J. Comput., 2023

Cross-domain recommendation via user interest alignment.
Proceedings of the ACM Web Conference 2023, 2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations.
IEEE Trans. Evol. Comput., 2022

Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective.
IEEE Trans. Big Data, 2022

Correction to: An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications.
Scientometrics, 2022

Estimating fund-raising performance for start-up projects from a market graph perspective.
Pattern Recognit., 2022

Exploring the effects of social capital on crowdfunding performance: A holistic analysis from the empirical and predictive views.
Comput. Hum. Behav., 2022

Toward intelligent financial advisors for identifying potential clients: A multitask perspective.
Big Data Min. Anal., 2022

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Understanding and predicting innovative potential of scholars based on deep learning method.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Rethinking the Development of Technology-Enhanced Learning and the Role of Cognitive Computing.
Int. J. Semantic Web Inf. Syst., 2021

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preference-Adaptive Meta-Learning for Cold-Start Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning the Implicit Semantic Representation on Graph-Structured Data.
Proceedings of the Database Systems for Advanced Applications, 2021

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding.
IEEE Trans. Knowl. Data Eng., 2020

Product Supply Optimization for Crowdfunding Campaigns.
IEEE Trans. Big Data, 2020

Identification of Apple Tree Leaf Diseases Based on Deep Learning Models.
Symmetry, 2020

Dual-stream generative adversarial networks for distributionally robust zero-shot learning.
Inf. Sci., 2020

A Dynamic and Cooperative Tracking System for Crowdfunding.
CoRR, 2020

Learning the Compositional Visual Coherence for Complementary Recommendations.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms.
Proceedings of the 41st International Conference on Information Systems, 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications.
Scientometrics, 2019

A Structure-Enriched Neural Network for network embedding.
Expert Syst. Appl., 2019

Exploiting Cognitive Structure for Adaptive Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Radical-Aware Attention-Based Model for Chinese Text Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Illuminating Recommendation by Understanding the Explicit Item Relations.
J. Comput. Sci. Technol., 2018

Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.
Inf. Sci., 2018

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
P2P Lending Survey: Platforms, Recent Advances and Prospects.
ACM Trans. Intell. Syst. Technol., 2017

Tracking the Dynamics in Crowdfunding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Prospecting the Career Development of Talents: A Survival Analysis Perspective.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Question Difficulty Prediction for READING Problems in Standard Tests.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Portfolio Selections in P2P Lending: A Multi-Objective Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Group Preference Aggregation: A Nash Equilibrium Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

2014
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014


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