Qi Zhu

Orcid: 0000-0003-0129-8542

Affiliations:
  • University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA


According to our database1, Qi Zhu authored at least 29 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
The MAPLE Benchmark for Graph Mining.
Dataset, February, 2023

The MAPLE Benchmark for Graph Mining.
Dataset, February, 2023

The MAPLE Benchmark for Scientific Literature Tagging.
Dataset, February, 2023

Explaining and Adapting Graph Conditional Shift.
CoRR, 2023

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
Proceedings of the ACM Web Conference 2023, 2023

Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Patton: Language Model Pretraining on Text-Rich Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?
CoRR, 2022

Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks.
CoRR, 2022

Augmentation-Free Graph Contrastive Learning.
CoRR, 2022

Shift-Robust Node Classification via Graph Adversarial Clustering.
CoRR, 2022

2021
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Collective Multi-type Entity Alignment Between Knowledge Graphs.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Unsupervised Differentiable Multi-aspect Network Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Facet-Aware Evaluation for Extractive Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Facet-Aware Evaluation for Extractive Text Summarization.
CoRR, 2019

Integrating Local Context and Global Cohesiveness for Open Information Extraction.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Task-Guided Pair Embedding in Heterogeneous Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Integrating Local Context and Global Cohesiveness for Open Information Extraction.
CoRR, 2018

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings.
CoRR, 2018

Open Information Extraction with Global Structure Constraints.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017.
CoRR, 2017

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


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