Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. - Xiang Ren 001; Jiaming Shen; Meng Qu; Xuan Wang 008; Zeqiu Wu; Qi Zhu 008; Meng Jiang 001; Fangbo Tao; Saurabh Sinha; David Liem; Peipei Ping; Richard M. Weinshilboum; et al. (ACL (System Demonstrations), 2017)

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. - Liyuan Liu; Xiang Ren 001; Qi Zhu 008; Shi Zhi; Huan Gui; Heng Ji 001; Jiawei Han 001 (EMNLP, 2017)

Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. - Qi Zhu 008; Hongwei Ng; Liyuan Liu; Ziwei Ji; Bingjie Jiang; Jiaming Shen; Huan Gui (CoRR, 2017)

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. - Yu Shi 002; Qi Zhu 008; Fang Guo; Chao Zhang 014; Jiawei Han 001 (KDD, 2018)

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. - Yu Shi 002; Huan Gui; Qi Zhu 008; Lance M. Kaplan; Jiawei Han 001 (SDM, 2018)

Open Information Extraction with Global Structure Constraints. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (WWW (Companion Volume), 2018)

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. - Huan Gui; Qi Zhu 008; Liyuan Liu; Aston Zhang; Jiawei Han 001 (CoRR, 2018)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (CoRR, 2018)

Task-Guided Pair Embedding in Heterogeneous Network. - Chanyoung Park 001; Donghyun Kim 007; Qi Zhu 008; Jiawei Han 001; Hwanjo Yu (CIKM, 2019)

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. - Yu Shi 002; Jiaming Shen; Yuchen Li; Naijing Zhang; Xinwei He; Zhengzhi Lou; Qi Zhu 008; Matthew Walker; Myunghwan Kim 002; Jiawei Han 001 (CIKM, 2019)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Ahmed El-Kishky; Jiawei Han 001 (WSDM, 2019)

Facet-Aware Evaluation for Extractive Text Summarization. - Yuning Mao; Liyuan Liu; Qi Zhu 008; Xiang Ren 001; Jiawei Han 001 (CoRR, 2019)

Facet-Aware Evaluation for Extractive Summarization. - Yuning Mao; Liyuan Liu; Qi Zhu 008; Xiang Ren 001; Jiawei Han 001 (ACL, 2020)

Unsupervised Differentiable Multi-aspect Network Embedding. - Chanyoung Park 001; Carl Yang 001; Qi Zhu 008; Donghyun Kim 007; Hwanjo Yu; Jiawei Han 001 (KDD, 2020)

Collective Multi-type Entity Alignment Between Knowledge Graphs. - Qi Zhu 008; Hao Wei; Bunyamin Sisman; Da Zheng; Christos Faloutsos; Xin Luna Dong; Jiawei Han 001 (WWW, 2020)

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. - Qi Zhu 008; Natalia Ponomareva 001; Jiawei Han 001; Bryan Perozzi (NeurIPS, 2021)

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. - Qi Zhu 008; Carl Yang 001; Yidan Xu; Haonan Wang; Chao Zhang 014; Jiawei Han 001 (NeurIPS, 2021)

SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. - Qi Zhu 008; Fang Guo; Jingjing Tian; Yuning Mao; Jiawei Han 001 (SDM, 2021)

Shift-Robust Node Classification via Graph Adversarial Clustering. - Qi Zhu 008; Chao Zhang 014; Chanyoung Park 001; Carl Yang 001; Jiawei Han 001 (CoRR, 2022)

Augmentation-Free Graph Contrastive Learning. - Haonan Wang; Jieyu Zhang 001; Qi Zhu 008; Wei Huang (CoRR, 2022)

Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. - Bowen Jin; Yu Zhang 044; Qi Zhu 008; Jiawei Han 001 (CoRR, 2022)

Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? - Haonan Wang; Jieyu Zhang 001; Qi Zhu 008; Wei Huang (CoRR, 2022)

Patton: Language Model Pretraining on Text-Rich Networks. - Bowen Jin; Wentao Zhang; Yu Zhang 044; Yu Meng 001; Xinyang Zhang 002; Qi Zhu 008; Jiawei Han 001 (ACL (1), 2023)

Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. - Bowen Jin; Yu Zhang 044; Qi Zhu 008; Jiawei Han 001 (KDD, 2023)

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (WWW, 2023)

Explaining and Adapting Graph Conditional Shift. - Qi Zhu 008; Yizhu Jiao; Natalia Ponomareva 001; Jiawei Han 001; Bryan Perozzi (CoRR, 2023)

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs. - Xuanwen Huang; Kaiqiao Han; Dezheng Bao; Quanjin Tao; Zhisheng Zhang; Yang Yang 009; Qi Zhu 008 (CoRR, 2023)

Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. - Haonan Wang; Jieyu Zhang 001; Qi Zhu 008; Wei Huang; Kenji Kawaguchi; Xiaokui Xiao (Trans. Mach. Learn. Res., 2023)

The MAPLE Benchmark for Scientific Literature Tagging. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

The MAPLE Benchmark for Graph Mining. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

The MAPLE Benchmark for Graph Mining. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. - Yifei Sun 002; Qi Zhu 008; Yang Yang 009; Chunping Wang 001; Tianyu Fan; Jiajun Zhu; Lei Chen 082 (AAAI, 2024)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jian Zhang; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

Can GNN be Good Adapter for LLMs? - Xuanwen Huang; Kaiqiao Han; Yang Yang 009; Dezheng Bao; Quanjin Tao; Ziwei Chai; Qi Zhu 008 (WWW, 2024)

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. - Qi Zhu 008; Da Zheng; Xiang Song 003; Shichang Zhang; Bowen Jin; Yizhou Sun; George Karypis (CoRR, 2024)

GraphStorm: all-in-one graph machine learning framework for industry applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jiani Zhang 003; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (CoRR, 2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models. - Shichang Zhang; Da Zheng; Jiani Zhang 003; Qi Zhu 008; Xiang Song 003; Soji Adeshina; Christos Faloutsos; George Karypis; Yizhou Sun (CoRR, 2024)

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. - Meng-Chieh Lee; Qi Zhu 008; Costas Mavromatis; Zhen Han; Soji Adeshina; Vassilis N. Ioannidis; Huzefa Rangwala; Christos Faloutsos (ACL (1), 2025)

Spectro-Riemannian Graph Neural Networks. - Karish Grover; Haiyang Yu; Xiang Song 003; Qi Zhu 008; Han Xie; Vassilis N. Ioannidis; Christos Faloutsos (ICLR, 2025)

MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. - Fang Guo; Wenyu Li; Honglei Zhuang; Yun Luo; Yafu Li; Le Yan; Qi Zhu 008; Yue Zhang 004 (WSDM, 2025)

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. - Costas Mavromatis; Soji Adeshina; Vassilis N. Ioannidis; Zhen Han; Qi Zhu 008; Ian Robinson; Bryan Thompson 001; Huzefa Rangwala; George Karypis (CoRR, 2025)