Haoyu Han

45 papers A* 13A 2B 1Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation.
CoRR
Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
2026 J jnl
From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG.
CoRR
Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Hui Liu
2026 A* conf
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution.
AAAI
Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026 J jnl
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution.
CoRR
Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026 A* conf
Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.
WWW
Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2026 A conf
Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs).
WSDM
Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang
2025 J jnl
Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG.
CoRR
Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang
2025 A* conf
Empowering GraphRAG with Knowledge Filtering and Integration.
EMNLP
Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025 J jnl
Empowering GraphRAG with Knowledge Filtering and Integration.
CoRR
Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025 — conf
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
IJCNLP-AACL (long papers)
Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Hui Liu
2025 B conf
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.
EDM
Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025 J jnl
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.
CoRR
Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025 — conf
Large Language Model for E-Commerce Workshop.
WWW (Companion Volume)
Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025 — conf
Machine Learning on Graphs in the Era of Generative Artificial Intelligence.
KDD (2)
Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025 — conf
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.
ACL (Findings)
Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025 J jnl
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.
CoRR
Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025 J jnl
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.
CoRR
Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang
2025 J jnl
Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.
CoRR
Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2025 — conf
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
ACL (Findings)
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 J jnl
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
CoRR
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 J jnl
Retrieval-Augmented Generation with Graphs (GraphRAG).
CoRR
Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025 — conf
The 2nd Workshop on Large Language Models for E-Commerce.
KDD (2)
Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025 — conf
Unveiling Mode Connectivity in Graph Neural Network.
KDD (2)
Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025 J jnl
Unveiling Mode Connectivity in Graph Neural Networks.
CoRR
Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2024 J jnl
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
CoRR
Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang
2024 A* conf
Label-free Node Classification on Graphs with Large Language Models (LLMs).
ICLR
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2024 A* conf
Mixture of Link Predictors on Graphs.
NeurIPS
Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
2024 J jnl
Mixture of Link Predictors.
CoRR
Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
2024 J jnl
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.
CoRR
Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang
2024 A conf
Spectral-Aware Augmentation for Enhanced Graph Representation Learning.
CIKM
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
2024 A* conf
Structural Fairness-aware Active Learning for Graph Neural Networks.
ICLR
Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2023 A* conf
Alternately Optimized Graph Neural Networks.
ICML
Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023 A* conf
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
NeurIPS
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023 J jnl
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
CoRR
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023 J jnl
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.
CoRR
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
2023 A* conf
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NeurIPS
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 J jnl
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
CoRR
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2023 A* conf
Enhancing Graph Representations Learning with Decorrelated Propagation.
KDD
Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
2023 J jnl
Label-free Node Classification on Graphs with Large Language Models (LLMS).
CoRR
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2023 A* conf
Large-Scale Graph Neural Networks: The Past and New Frontiers.
KDD
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2023 A* conf
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.
ICML
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023 J jnl
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.
CoRR
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023 A* conf
Towards Label Position Bias in Graph Neural Networks.
NeurIPS
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023 J jnl
Towards Label Position Bias in Graph Neural Networks.
CoRR
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2022 J jnl
Alternately Optimized Graph Neural Networks.
CoRR
Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang