Yu Zhang
Orcid: 0000-0003-0540-6758Affiliations:
- University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
According to our database1,
Yu Zhang
authored at least 63 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion.
CoRR, 2024
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching.
CoRR, 2023
CoRR, 2023
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training.
CoRR, 2023
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
Proceedings of the International Conference on Machine Learning, 2023
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng., 2022
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the Winter Simulation Conference, 2021
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR, 2020
Comput. Math. Organ. Theory, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Bioinform., 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
CoRR, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach.
CoRR, 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2009
Simul., 2009
2007
Proceedings of the 23rd IEEE International Conference on Software Maintenance (ICSM 2007), 2007