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Qi Zhu 0008
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
Other persons with the same name
- Qi Zhu — disambiguation page
- Qi Zhu 0001
— Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology, China (and 1 more)
- Qi Zhu 0002
- Qi Zhu 0003
- Qi Zhu 0004 — National University of Defense Technology, College of Mechatronics and Automation, Changsha, China
- Qi Zhu 0005
- Qi Zhu 0006
- Qi Zhu 0007 — Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, China (and 1 more)
- Qi Zhu 0009 — National Oceanic and Atmospheric Administration, NOAA, Center for Satellite Applications and Research, National Environmental Satellite, Data, and Information Service, NESDIS, MD, USA
- Qi Zhu 0010
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2020 – today
- 2024
- [c20]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: 9053-9061 - [c19]Da Zheng
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD 2024: 6356-6367 - [c18]Xuanwen Huang
Can GNN be Good Adapter for LLMs? WWW 2024: 893-904 - [i25]Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu:
Can GNN be Good Adapter for LLMs? CoRR abs/2402.12984 (2024) - [i24]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 abs/2404.18271 (2024) - [i23]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 abs/2406.06022 (2024) - [i22]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 abs/2406.11884 (2024) - 2023
- [j1]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) - [c17]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: 7005-7020 - [c16]Bowen Jin
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD 2023: 1020-1031 - [c15]Yu Zhang
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW 2023: 1626-1637 - [d3]Yu Zhang
The MAPLE Benchmark for Scientific Literature Tagging. Zenodo, 2023 - [d2]Yu Zhang
The MAPLE Benchmark for Graph Mining. Version 1. Zenodo, 2023 [all versions] - [d1]Yu Zhang
The MAPLE Benchmark for Graph Mining. Version 2. Zenodo, 2023 [all versions] - [i21]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. CoRR abs/2302.03341 (2023) - [i20]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. CoRR abs/2305.12268 (2023) - [i19]Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Explaining and Adapting Graph Conditional Shift. CoRR abs/2306.03256 (2023) - [i18]Xuanwen Huang, Kaiqiao Han, Dezheng Bao, Quanjin Tao, Zhisheng Zhang, Yang Yang, Qi Zhu:
Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs. CoRR abs/2309.02848 (2023) - [i17]Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen:
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns. CoRR abs/2312.13583 (2023) - 2022
- [i16]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i15]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang:
Augmentation-Free Graph Contrastive Learning. CoRR abs/2204.04874 (2022) - [i14]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR abs/2205.10282 (2022) - [i13]Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang:
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR abs/2211.10890 (2022) - 2021
- [c14]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: 1766-1779 - [c13]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. NeurIPS 2021: 27965-27977 - [c12]Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han:
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM 2021: 477-485 - [i12]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR abs/2108.01099 (2021) - 2020
- [c11]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Summarization. ACL 2020: 4941-4957 - [c10]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c9]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: 2241-2252 - [i11]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i10]Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR abs/2009.05204 (2020)
2010 – 2019
- 2019
- [c8]Chanyoung Park, Donghyun Kim
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498 - [c7]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: 599-608 - [c6]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: 42-50 - [i9]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019) - [i8]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Text Summarization. CoRR abs/1908.10383 (2019) - [i7]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 abs/1909.01584 (2019) - 2018
- [c5]Yu Shi, Qi Zhu, Fang Guo, Chao Zhang
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD 2018: 2190-2199 - [c4]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018: 144-152 - [c3]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [i6]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR abs/1803.01848 (2018) - [i5]Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han:
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR abs/1803.03370 (2018) - [i4]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - [i3]Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. CoRR abs/1807.03490 (2018) - 2017
- [c2]Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 2017: 55-60 - [c1]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: 46-56 - [i2]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR abs/1707.00166 (2017) - [i1]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 abs/1712.06922 (2017)
Coauthor Index
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