Zixuan Zhang

Publications (by Years)

Zixuan Zhang, Revanth G. Reddy, Kevin Small, Tong Zhang, Heng Ji Towards Better Generalization in Open-Domain Question Answering by Mitigating Memorization with Corpus-Invariant Tuning, In the findings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024 Findings). [Paper]

Jiateng Liu*, Pengfei Yu*, Yuji Zhang, Sha Li, Zixuan Zhang, Heng Ji EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries, ArXiv Preprint. [Paper]

Khanh Duy Nguyen*, Zixuan Zhang* (*Equal Contribution), Reece Suchocki, Sha Li, Martha Palmer, Susan Brown, Jiawei Han, Heng Ji RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor, In the 17th European Chapter of the Association for Computational Linguistics (EMNLP 2023 Demo Track). [Paper][Code]

Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal. Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction, In the 17th European Chapter of the Association for Computational Linguistics (EACL 2023). [Paper][Code]

Liliang Ren*, Zixuan Zhang* (*Equal Contribution), Han Wang, Clare R. Voss, Chengxiang Zhai, Heng Ji. Language Model Pre-Training with Sparse Latent Typing, In 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). [Paper][Code]

Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji. Schema-Guided Event Graph Completion, In 2022 Automated Knowledge Base Construction (AKBC 2022). [Paper]

Pengfei Yu*, Zixuan Zhang* (*Equal Contribution), Clare R. Voss, Jonathan May, and Heng Ji. Building an Event Extractor with Only a Few Examples, In Proceedings of the 3rd Workshop on Deep Learning Approaches for Low-Resource NLP (NAACL 2022 DeepLo). [Paper] [Code]

Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Manh, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Rotem Dror, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji. RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios, In Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations (NAACL 2022 Demo Track). [Paper] [Code]

Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-shyuan Chiang, Tuan Lai, Pengfei Yu, Zixuan Zhang, Heng Ji. COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System, In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL 2022 Demo Track). [Paper]

Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, and Heng Ji. EventKE: Event-enhanced Knowledge Graph Embeddings, In Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021 Findings). [Paper] [Code]

Zixuan Zhang, Nikolaus Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers, and Martha Palmer. Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation, In Proc. of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL 2021). [Paper] [Code]

Zixuan Zhang, and Heng Ji. Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction, In Proc. of The Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL 2021). [Paper] [Code]

Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen. Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling, In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). [Paper]