| A Survey of Knowledge-Enhanced Text Generation W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang ACM Computing Surveys (CSUR), 2022 | 115 | 2022 |
| Few-Shot Graph Learning for Molecular Property Prediction Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla WWW 2021 (long paper), 2021 | 75 | 2021 |
| Learning from Counterfactual Links for Link Prediction T Zhao, G Liu, D Wang, W Yu, M Jiang ICML 2022 (spotlight), 2022 | 41* | 2022 |
| KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-domain Question Answering D Yu, C Zhu, Y Fang, W Yu, S Wang, Y Xu, X Ren, Y Yang, M Zeng ACL 2022 (long paper), 2022 | 35 | 2022 |
| Generate rather than Retrieve: Large Language Models are Strong Context Generators W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang ICLR 2023, 2023 | 27 | 2023 |
| Dict-BERT: Enhancing Language Model Pre-training with Dictionary W Yu, C Zhu, Y Fang, D Yu, S Wang, Y Xu, M Zeng, M Jiang ACL 2022 (long paper), 2022 | 26 | 2022 |
| Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations Q Zeng, J Lin, W Yu, J Cleland-Huang, M Jiang KDD 2021 (research track), 2021 | 25 | 2021 |
| Identifying Referential Intention with Heterogeneous Contexts W Yu, M Yu, T Zhao, M Jiang WWW 2020 (long paper), 2020 | 25 | 2020 |
| Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning W Yu, W Peng, Y Shu, Q Zeng, M Jiang WWW 2019 (long paper with a demo), 2019 | 25* | 2019 |
| Technical Question Answering across Tasks and Domains W Yu, L Wu, Y Deng, Q Zeng, R Mahindru, S Guven, M Jiang NAACL 2021 (industry track), 2021 | 21* | 2021 |
| Crossing Variational Autoencoders for Answer Retrieval W Yu, L Wu, Q Zeng, S Tao, Y Deng, M Jiang ACL 2020 (short paper), 2020 | 18 | 2020 |
| Injecting Entity Types into Entity-Guided Text Generation X Dong, W Yu, C Zhu, M Jiang EMNLP 2021 (short paper, oral), 2021 | 17 | 2021 |
| GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction Z Guo, W Yu, C Zhang, M Jiang, NV Chawla CIKM 2020 (research track), 2020 | 17 | 2020 |
| Early Anomaly Detection by Learning and Forecasting Behavior T Zhao, B Ni, W Yu, Z Guo, N Shah, M Jiang CIKM 2021 (research track), 2021 | 15* | 2021 |
| Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and A Construction Method Q Zeng, M Yu, W Yu, J Xiong, Y Shi, M Jiang EMNLP 2019 (workshop), 2019 | 14 | 2019 |
| A Survey of Deep Learning for Mathematical Reasoning P Lu, L Qiu, W Yu, S Welleck, KW Chang ACL 2023 (long), 2023 | 10 | 2023 |
| A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods Z Zhang, W Yu, M Yu, Z Guo, M Jiang EACL 2023, 2023 | 10 | 2023 |
| Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts W Yu, C Zhu, L Qin, Z Zhang, T Zhao, M Jiang ACL 2022 (long paper), 2022 | 10 | 2022 |
| StarCoder: May the Source Be with You! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 9 | 2023 |
| Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering M Ju*, W Yu* (equal contribution), T Zhao, C Zhang, Y Ye EMNLP 2022 (long), 2022 | 8 | 2022 |
Meng JiangUniversity of Notre DameVerified email at nd.edu
