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Wenhao Yu 0002
Person information

- affiliation: University of Notre Dame, Department of Computer Science and Engineering, IN, USA
Other persons with the same name
- Wenhao Yu 0001
— China University of Geosciences, State Key Laboratory of Resources and Environmental Information System, Wuhan, China (and 1 more)
- Wenhao Yu 0003
— Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA (and 1 more)
- Wenhao Yu 0004
— Shanghai Jiao Tong University, Shanghai Key Laboratory of Intelligent Sensing and Recognition, China
- Wenhao Yu 0005 — Dalian University of Technology, College of Computer Science and Technology, China
- Wenhao Yu 0006 — Tsinghua University, School of Vehicle and Mobility, Beijing, China
- Wenhao Yu 0007
— Shanghai Normal University, School of Education, China
- Wenhao Yu 0008 — Tsinghua University, Boulder, CO, USA (and 1 more)
- Wenhao Yu 0009 — Fudan University, Academy for Engineering and Technology, Shanghai, China
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2020 – today
- 2023
- [c27]Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang:
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL 2023: 943-956 - [c26]Chenguang Zhu
, Yichong Xu
, Xiang Ren
, Bill Yuchen Lin
, Meng Jiang
, Wenhao Yu
:
Knowledge-Augmented Methods for Natural Language Processing. WSDM 2023: 1228-1231 - [i26]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i25]Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang:
Large Language Models are Built-in Autoregressive Search Engines. CoRR abs/2305.09612 (2023) - 2022
- [j1]Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang:
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54(11s): 227:1-227:38 (2022) - [c25]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) 2022: 12-20 - [c24]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) 2022: 1896-1906 - [c23]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) 2022: 1907-1918 - [c22]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) 2022: 4961-4974 - [c21]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) 2022: 169-181 - [c20]Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang:
A Unified Encoder-Decoder Framework with Entity Memory. EMNLP 2022: 689-705 - [c19]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022: 4364-4377 - [c18]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) 2022: 5671-5685 - [c17]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c16]Tong Zhao, Gang Liu
, Daheng Wang, Wenhao Yu, Meng Jiang:
Learning from Counterfactual Links for Link Prediction. ICML 2022: 26911-26926 - [c15]Wenhao Yu:
Retrieval-augmented Generation across Heterogeneous Knowledge. NAACL-HLT (Student Research Workshop) 2022: 52-58 - [i24]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR abs/2203.07285 (2022) - [i23]Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang:
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR abs/2204.03508 (2022) - [i22]Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. CoRR abs/2207.01084 (2022) - [i21]Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang:
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR abs/2209.10063 (2022) - [i20]Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang:
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR abs/2210.02016 (2022) - [i19]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR abs/2210.02933 (2022) - [i18]Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang:
A Unified Encoder-Decoder Framework with Entity Memory. CoRR abs/2210.03273 (2022) - [i17]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR abs/2210.06277 (2022) - [i16]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR abs/2210.12887 (2022) - [i15]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR abs/2211.08380 (2022) - [i14]Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren:
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR abs/2212.09282 (2022) - [i13]Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang:
A Survey of Deep Learning for Mathematical Reasoning. CoRR abs/2212.10535 (2022) - 2021
- [c14]Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang:
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM 2021: 2668-2678 - [c13]Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang:
Injecting Entity Types into Entity-Guided Text Generation. EMNLP (1) 2021: 734-741 - [c12]Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. EMNLP (1) 2021: 5051-5062 - [c11]Qingkai Zeng, Jinfeng Lin, Wenhao Yu
, Jane Cleland-Huang, Meng Jiang:
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. KDD 2021: 2104-2113 - [c10]Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang:
Technical Question Answering across Tasks and Domains. NAACL-HLT (Industry Papers) 2021: 178-186 - [c9]Zhichun Guo, Chuxu Zhang, Wenhao Yu
, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
:
Few-Shot Graph Learning for Molecular Property Prediction. WWW 2021: 2559-2567 - [i12]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Validating Label Consistency in NER Data Annotation. CoRR abs/2101.08698 (2021) - [i11]Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. CoRR abs/2102.07916 (2021) - [i10]Wenhao Yu
, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. CoRR abs/2104.07228 (2021) - [i9]Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang:
Counterfactual Graph Learning for Link Prediction. CoRR abs/2106.02172 (2021) - [i8]Qingkai Zeng, Jinfeng Lin, Wenhao Yu
, Jane Cleland-Huang, Meng Jiang:
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. CoRR abs/2106.02974 (2021) - [i7]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2110.04330 (2021) - [i6]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR abs/2110.06490 (2021) - 2020
- [c8]Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. ACL 2020: 5635-5641 - [c7]Zhichun Guo, Wenhao Yu
, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
:
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM 2020: 435-443 - [c6]Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Güven, Meng Jiang:
A Technical Question Answering System with Transfer Learning. EMNLP (Demos) 2020: 92-99 - [c5]Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. EMNLP (Findings) 2020: 4778-4787 - [c4]Wenhao Yu
, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang:
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. WWW 2020: 951-961 - [c3]Wenhao Yu
, Mengxia Yu, Tong Zhao, Meng Jiang:
Identifying Referential Intention with Heterogeneous Contexts. WWW 2020: 962-972 - [i5]Wenhao Yu
, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. CoRR abs/2005.02557 (2020) - [i4]Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang:
Injecting Entity Types into Entity-Guided Text Generation. CoRR abs/2009.13401 (2020) - [i3]Wenhao Yu
, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang
, Heng Ji, Meng Jiang:
A Survey of Knowledge-Enhanced Text Generation. CoRR abs/2010.04389 (2020) - [i2]Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang:
Technical Question Answering across Tasks and Domains. CoRR abs/2010.09780 (2020) - [i1]Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang:
Early Anomaly Detection by Learning and Forecasting Behavior. CoRR abs/2010.10016 (2020)
2010 – 2019
- 2019
- [c2]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang:
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. TextGraphs@EMNLP 2019: 140-150 - [c1]Wenhao Yu
, Zongze Li, Qingkai Zeng, Meng Jiang:
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. WWW 2019: 3615-3619
Coauthor Index

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last updated on 2023-05-25 22:30 CEST by the dblp team
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