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ORCIDXuan Wang 0008
Person information
- affiliation: Virginia Tech, VA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
Other persons with the same name
- Xuan Wang — disambiguation page
- Xuan Wang 0001 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (and 4 more)
- Xuan Wang 0002
![[0000-0002-3512-0649]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3512-0649")
— Harbin Institute of Technology, Shenzhen Graduate School, China (and 1 more) - Xuan Wang 0003 — Hong Kong University of Science and Technology, Department of Information Systems, Business Statistics and Operations, Hong Kong (and 1 more)
- Xuan Wang 0004 — Ocean University of China, Qingdao Collaborative Innovation Center of Marine Science and Technology, Qingdao, China (and 1 more)
- Xuan Wang 0005 — Fujian Normal University, College of Photonic and Electronic Engineering, China
- Xuan Wang 0006 — Shaanxi Normal University, School of Physics and Information Technology, Xi'an, China
- Xuan Wang 0007 — University of Stuttgart, Germany
- Xuan Wang 0009 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics / School of Software Engineering, China
- Xuan Wang 0010 — Beijing University of Posts and Telecommunications, School of Automation, China
- Xuan Wang 0011 — Bath Spa University, Center for Creative Computing, Somerset, UK
- Xuan Wang 0012 — University of South Carolina, Department of Electrical Engineering, Columbia, SC, USA
- Xuan Wang 0013 — George Mason University, Department of Electrical and Computer Engineering, Fairfax, VA 22030 USA (and 2 more)
- Xu An Wang 0001 (aka: Xu-An Wang 0001, Xuan Wang 0014) — Engineering University of Chinese Armed Police Force, Xi'an, China (and 1 more)
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2020 – today
- 2024
[c26]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) 2024: 443-458- [c25]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD 2024: 1407-1417 - [i19]Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang:
AI for Biomedicine in the Era of Large Language Models. CoRR abs/2403.15673 (2024) - [i18]Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang:
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer. CoRR abs/2405.02165 (2024) - [i17]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR abs/2406.05906 (2024) - [i16]Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, Xuan Wang, Liqing Zhang:
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model. CoRR abs/2406.13133 (2024) - [i15]Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang:
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering. CoRR abs/2407.03687 (2024) - 2023
- [c24]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) 2023: 11161-11180 - [c23]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. ACL (Findings) 2023: 12120-12130 - [c22]Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang:
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. EMNLP (Demos) 2023: 373-380 - [c21]Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han:
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. EMNLP (Demos) 2023: 389-402 - [c20]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. EMNLP (Findings) 2023: 10543-10558 - [i14]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR abs/2304.01969 (2023) - [i13]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models. CoRR abs/2305.12307 (2023) - [i12]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i11]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR abs/2307.01448 (2023) - [i10]Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang:
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR abs/2310.09265 (2023) - [i9]Daniel Hajialigol, Hanwen Liu, Xuan Wang:
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision. CoRR abs/2311.00189 (2023) - 2022
- [c19]Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han:
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. BIBM 2022: 844-847 - [c18]Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han:
New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. KDD 2022: 4832-4833 - [c17]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT 2022: 279-290 - [c16]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [i8]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR abs/2205.01845 (2022) - 2021
- [c15]Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao:
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM 2021: 1552-1557 - [c14]Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han:
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. EMNLP (1) 2021: 5227-5240 - [c13]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. EMNLP (1) 2021: 10367-10378 - [c12]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77 - [i7]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. CoRR abs/2109.05003 (2021) - 2020
- [c11]Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han:
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. ACL (demo) 2020: 56-62 - [c10]Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han:
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM 2020: 491-494 - [c9]Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han:
Pattern-enhanced Named Entity Recognition with Distant Supervision. IEEE BigData 2020: 818-827 - [c8]Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han:
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. IEEE BigData 2020: 828-837 - [c7]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [i6]Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han:
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR abs/2003.12218 (2020) - [i5]Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han:
Automatic Textual Evidence Mining in COVID-19 Literature. CoRR abs/2004.12563 (2020) - [i4]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i3]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR abs/2007.00576 (2020)
2010 – 2019
- 2019
- [j1]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [c6]Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM 2019: 496-503 - [c5]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. ICDM 2019: 876-885 - [i2]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR abs/1910.07115 (2019) - 2018
- [c4]Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han:
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. BCB 2018: 291-300 - [c3]Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han:
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. BIBM 2018: 420-427 - [c2]Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han:
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. BIBM 2018: 540-547 - [i1]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR abs/1801.09851 (2018) - 2017
- [c1]Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han:
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 2017: 55-60
Coauthor Index
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