Qi Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Graph Representation

Open Information Extraction

Top Venues

Publications

Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD (2024)
Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. AAAI (2024)
Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
Can GNN be Good Adapter for LLMs? WWW (2024)
Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
Can GNN be Good Adapter for LLMs? CoRR (2024)
Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR (2024)
Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR (2024)
Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR (2024)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. 2023 (2023)
Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW (2023)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
Patton: Language Model Pretraining on Text-Rich Networks. ACL (1) (2023)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
Patton: Language Model Pretraining on Text-Rich Networks. CoRR (2023)
Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
Explaining and Adapting Graph Conditional Shift. CoRR (2023)
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD (2023)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
Augmentation-Free Graph Contrastive Learning. CoRR (2022)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR (2022)
Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR (2022)
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR (2022)
Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. NeurIPS (2021)
Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS (2021)
Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR (2021)
Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM (2021)
Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW (2020)
Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR (2020)
Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR (2020)
Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
Facet-Aware Evaluation for Extractive Summarization. ACL (2020)
Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
Unsupervised Differentiable Multi-aspect Network Embedding. KDD (2020)
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CIKM (2019)
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CoRR (2019)
Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
Task-Guided Pair Embedding in Heterogeneous Network. CoRR (2019)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM (2019)
Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
Task-Guided Pair Embedding in Heterogeneous Network. CIKM (2019)
Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
Facet-Aware Evaluation for Extractive Text Summarization. CoRR (2019)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) (2018)
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM (2018)
Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. CoRR (2018)
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR (2018)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR (2018)
Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR (2018)
Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD (2018)
Qi Zhu, Hongwei Ng, Liyuan Liu, Ziwei Ji, Bingjie Jiang, Jiaming Shen, Huan Gui
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. CoRR (2017)
Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. EMNLP (2017)
Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR (2017)
Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) (2017)