Scholar
Hongke Zhao 赵洪科
Google Scholar ID: ChR2MIUAAAAJ
Associate Professor of College of Management and Economics, Tianjin University
Citations & Impact
Citations
2,989
H-index
29
i10-index
68
Publications
20
Co-authors
16
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Multi-Party Multi-Objective Optimization for Discrete Problems: A Case Study on Multi-Stakeholder Recommendation
- MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models
- Comparative Analysis of Algorithmic Approaches in Ensemble Learning: Bagging vs. Boosting
- Multi-resolution leak detection based on shared expert MoE forecasting for natural gas pipelines
- Improving Sentiment Analysis in Tourism through LLM-Enhanced Irony Detection
- Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
- Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Contrastive Learning
- Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
- How signal intensity of altruistic and strategic motivation affects crowdfunding performance? Matching among funders and platform types
- Deeds Not Words: The Impact of Past Satisfaction and Behavior on Knowledge Cross-buying Intention on Online Course Platforms
- Conflicts and optimization of multiple promotions combinations for merchants
- Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights
- GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction
- Predicting scholar potential: a deep learning model on social capital features
- Exploring the interpretability of vision GCN with a multi-method approach
- Multi-Objective Graph Contrastive Learning for Recommendation
- An efficient continuous control perspective for reinforcement-learning-based sequential recommendation
- Knowledge Enhanced Graph Contrastive Learning for Match Outcome Prediction
- 低碳神经网络算法：压缩和加速技术的发展与应用
- Team formation in large organizations: A deep reinforcement learning approach
- Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-shot Learning Paradigm
- Caption matters: a new perspective for knowledge-based visual question answering
- A Semi-supervised Reject Inference Framework with Hierarchical Heterogeneous Networks for Credit Scoring
- Enhancing Precision Drug Recommendations via In-depth Exploration of Motif Relationships
- GTR: An Explainable Graph Topic-Aware Recommender for Scholarly Document
- 语言模型增强的引文网络连边因子挖掘
- Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment
- MOREM: An Evolutionary Multitasking Optimization Algorithm for Multi-Objective Recommendations
- 亲社会众筹平台上第三方认证对支持者的财务动机和利他动机的影响
- Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation
- A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations
- Does academic engagement with industry come at a cost for early career scientists? Evidence from high-tech enterprises’ Ph.D. funding programs
- Free trial or no free trial: optimal operation of electronic physical product with positive and negative network effects
- An Ensemble Learning Approach with Gradient Resampling for Class-imbalance Problems
- Cross-Domain Recommendation via Progressive Structural Alignment
- Multi-View Enhanced Zero-Shot Node Classification
- SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-Behavior Prediction
- A General Tail Item Representation Enhancement Framework for Sequential Recommendation
- A Multi-aspect Neural Tensor Factorization Framework for Patent Litigation Prediction
- What is Market Talking about? Market-oriented Prospect Analysis for Entrepreneur Fundraising
- Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks
- Learning Relation-Enhanced Hierarchical Solver for Math Word Problems
