papers

Publications (33)

cs.AI2025

Empowering GraphRAG with Knowledge Filtering and Integration

Kai Guo, Harry Shomer, Shenglai Zeng +3

cs.LG2025

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases

Yongjia Lei, Haoyu Han, Ryan A. Rossi +5

cs.IR2025

Retrieval-Augmented Generation with Graphs (GraphRAG)

Haoyu Han, Yu Wang, Harry Shomer +15

cs.CV2023

Drag-A-Video: Non-rigid Video Editing with Point-based Interaction

Yao Teng, Enze Xie, Yue Wu +3

cs.LG2025

Unveiling Mode Connectivity in Graph Neural Networks

Bingheng Li, Zhikai Chen, Haoyu Han +3

cs.IR2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Wei Jin, Haitao Mao, Zheng Li +17

cs.LG2023

Alternately Optimized Graph Neural Networks

Haoyu Han, Xiaorui Liu, Haitao Mao +4

cs.LG2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning

Kaiqi Yang, Haoyu Han, Wei Jin +1

math.OC2024

On the Nonsmooth Geometry and Neural Approximation of the Optimal Value Function of Infinite-Horizon Pendulum Swing-up

Haoyu Han, Heng Yang

cs.CR2026

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation

Zhisheng Qi, Utkarsh Sahu, Li Ma +9

cs.CL2026

Why Retrieval-Augmented Generation Fails: A Graph Perspective

Kai Guo, Xinnan Dai, Zhibo Zhang +5

cs.IR2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation

Juanhui Li, Haoyu Han, Zhikai Chen +4

cs.LG2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach

Haoyu Han, Juanhui Li, Wei Huang +5

cs.LG2023

Towards Label Position Bias in Graph Neural Networks

Haoyu Han, Xiaorui Liu, Feng Shi +3

math.OC2026

Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator

Haoyu Han, Heng Yang

cs.RO2025

Sparse Variable Projection in Robotic Perception: Exploiting Separable Structure for Efficient Nonlinear Optimization

Alan Papalia, Nikolas Sanderson, Haoyu Han +3

cs.CL2025

GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data

Jiacheng Lin, Kun Qian, Haoyu Han +9

math.OC2026

Factorization-free Orthogonal Projection onto the Positive Semidefinite Cone with Composite Polynomial Filtering

Shucheng Kang, Haoyu Han, Antoine Groudiev +1

cs.CL2025

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning

Haoyu Han, Yaochen Xie, Hui Liu +8

cs.LG2023

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation

Rui Xue, Haoyu Han, MohamadAli Torkamani +2

cs.IR2026

Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs

Haoyu Han, Kai Guo, Harry Shomer +5

cs.IR2026

An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation

Haoyu Han, Li Ma, Hanbing Wang +9

cs.RO2025

Building Rome with Convex Optimization

Haoyu Han, Heng Yang

cs.LG2024

Mixture of Link Predictors on Graphs

Li Ma, Haoyu Han, Juanhui Li +4

cs.CV2025

Language Guided Concept Bottleneck Models for Interpretable Continual Learning

Lu Yu, Haoyu Han, Zhe Tao +2

cs.LG2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin +5

cs.AI2025

Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG

Kai Guo, Xinnan Dai, Shenglai Zeng +4

math.OC2025

On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning

Yulin Li, Haoyu Han, Shucheng Kang +2

cs.CL2025

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation

Yucheng Chu, Peng He, Hang Li +6

cs.LG2024

Label-free Node Classification on Graphs with Large Language Models (LLMS)

Zhikai Chen, Haitao Mao, Hongzhi Wen +5

cs.CL2026

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG

Yucheng Chu, Haoyu Han, Shen Dong +6

cs.CV2026

Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution

Hua Liu, Yanbin Wei, Fei Xing +3

cs.IR2026

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights

Haoyu Han, Li Ma, Yu Wang +9