V. G. Vinod Vydiswaran

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 45

Top Topics

Potential Impact

Natural Language Processing

Query Recommendation

Biomedical Literature

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR (2024)
Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. NAACL-HLT (2024)
Quancheng Liu, Xiheng Ren, V. G. Vinod Vydiswaran
LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles. BioNLP@ACL (2023)
Anne M. Walling, Joshua Pevnick, Antonia V. Bennett, V. G. Vinod Vydiswaran, Christine S. Ritchie
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research. J. Am. Medical Informatics Assoc. 30 (7) (2023)
Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. CoRR (2023)
Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. CoRR (2023)
Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. EMNLP (Findings) (2023)
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR (2023)
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) (2023)
Chi-Yun Chang, Jiaqi Li, Shivangi Kumar, V. G. Vinod Vydiswaran
StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic Classification. CLEF (Working Notes) (2023)
Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023)
Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. CoRR (2022)
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma
IDPG: An Instance-Dependent Prompt Generation Method. NAACL-HLT (2022)
V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu
Data Science and Natural Language Processing to Extract Information in Clinical Domain. COMAD/CODS (2022)
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma
IDPG: An Instance-Dependent Prompt Generation Method. CoRR (2022)
David A. Dorr, Nicole Gray Weiskopf, Michelle Bobo, MJ Dunne, Peijan Han, Jessica Kim, V. G. Vinod Vydiswaran
Validating Complex Phenotypes: A Structured Approach for Dementia. AMIA (2022)
V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu
Data Science and Natural Language Processing to Extract Information from Clinical Narratives. COMAD/CODS (2021)
Xinyan Zhao, V. G. Vinod Vydiswaran
LIREx: Augmenting Language Inference with Relevant Explanations. AAAI (2021)
Xinyan Zhao, V. G. Vinod Vydiswaran
LIREx: Augmenting Language Inference with Relevant Explanation. CoRR (2020)
V. G. Vinod Vydiswaran, Deahan Yu, Xinyan Zhao, Ermioni Carr, Jonathan Martindale, Jingcheng Xiao, Noha Ghannam, Matteo Althoen, Alexis Castellanos, Neel Patel, Daniel Vasquez
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020. SMM4H@COLING (2020)
Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. EMNLP (Findings) (2020)
V. G. Vinod Vydiswaran, Daniel M. Romero, Xinyan Zhao, Deahan Yu, Iris N. Gomez-Lopez, Jin Xiu Lu, Bradley E. Iott, Ana Baylin, Erica C. Jansen, Philippa Clarke, Veronica J. Berrocal, Robert Goodspeed, Tiffany C. Veinot
Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics. J. Am. Medical Informatics Assoc. 27 (2) (2020)
Jiazhao Li, Adharsh Murali, Qiaozhu Mei, V. G. Vinod Vydiswaran
Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models. ICHI (2020)
V. G. Vinod Vydiswaran, Grace Ganzel, Bryan Romas, Deahan Yu, Amy Austin, Neha Bhomia, Socheatha Chan, Stephanie Hall, Van Le, Aaron Miller, Olawunmi Oduyebo, Aulia Song, Radhika Sondhi, Danny Teng, Hao Tseng, Kim Vuong, Stephanie Zimmerman
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1. SMM4H@ACL (2019)
V. G. Vinod Vydiswaran, Asher Strayhorn, Xinyan Zhao, Phil Robinson, Mahesh Agarwal, Erin Bagazinski, Madia Essiet, Bradley E. Iott, Hyeon Joo, PingJui Ko, Dahee Lee, Jin Xiu Lu, Jinghui Liu, Adharsh Murali, Koki Sasagawa, Tianshi Wang, Nalingna Yuan
Hybrid bag of approaches to characterize selection criteria for cohort identification. J. Am. Medical Informatics Assoc. 26 (11) (2019)
David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng
Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. BMC Medical Informatics Decis. Mak. (3) (2019)
V. G. Vinod Vydiswaran, Manoj Reddy
Identifying peer experts in online health forums. BMC Medical Informatics Decis. Mak. (3) (2019)
Xinyan Zhao, Deahan Yu, V. G. Vinod Vydiswaran
Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation. SMM4H@ACL (2019)
V. G. Vinod Vydiswaran, Yaoyun Zhang, Yanshan Wang, Hua Xu
Special issue of BMC medical informatics and decision making on health natural language processing. BMC Medical Informatics Decis. Mak. (3) (2019)
Yun Jiang, V. G. Vinod Vydiswaran, Eun-Young Lee, Hyeon Joo, Anna Zheng, Marcelline R. Harris
Feasibility of Identifying Oral Anticancer Agent Toxicity Self-Reporting and Management Advice from Clinical Notes. AMIA (2018)
Jean Hardy, Tiffany C. Veinot, Xiang Yan, Veronica J. Berrocal, Philippa Clarke, Robert Goodspeed, Iris N. Gomez-Lopez, Daniel M. Romero, V. G. Vinod Vydiswaran
User acceptance of location-tracking technologies in health research: Implications for study design and data quality. J. Biomed. Informatics 79 (2018)
Jinghui Liu, Clair A. Kronk, Wu-Chen Su, Danny T. Y. Wu, V. G. Vinod Vydiswaran
Retrieving scientific abstracts iteratively: MedIER at TREC 2018 Precision Medicine Track. TREC (2018)
Manoj Reddy, V. G. Vinod Vydiswaran
Towards Identifying Peer Expertise in Online Health Forums. ICHI Workshops (2018)
V. G. Vinod Vydiswaran, Daniel M. Romero, Xinyan Zhao, Deahan Yu, Iris N. Gomez-Lopez, Jin Xiu Lu, Bradley E. Iott, Ana Baylin, Philippa Clarke, Veronica J. Berrocal, Robert Goodspeed, Tiffany C. Veinot
"Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit. ICWSM (2018)
David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng
Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. ICHI Workshops (2018)
Andy Jinseok Lee, Sunyang Fu, V. G. Vinod Vydiswaran
Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network. AMIA (2018)
Tong Yin, Danny T. Y. Wu, V. G. Vinod Vydiswaran
Retrieving documents based on gene name variations: MedIER at TREC 2017 Precision Medicine Track. TREC (2017)
Shibamouli Lahiri, V. G. Vinod Vydiswaran, Rada Mihalcea
Identifying Usage Expression Sentences in Consumer Product Reviews. IJCNLP(1) (2017)
Xinyan Zhao, V. G. Vinod Vydiswaran
HyDeXT: A Hybrid De-identification and Extraction Tool for Health Text. AMIA (2017)
David A. Hanauer, Danny T. Y. Wu, Lei Yang, Qiaozhu Mei, Katherine B. Murkowski-Steffy, V. G. Vinod Vydiswaran, Kai Zheng
Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine. J. Biomed. Informatics 67 (2017)
Alexander Kinsora, Kate Barron, Qiaozhu Mei, V. G. Vinod Vydiswaran
Creating a Labeled Dataset for Medical Misinformation in Health Forums. ICHI (2017)
Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei
Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. AMIA (2017)
Jian Huang, Keyang Xu, V. G. Vinod Vydiswaran
Analyzing Multiple Medical Corpora Using Word Embedding. ICHI (2016)
Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, Patricia M. Clark, Lawrence C. An, Joshua Proulx, Qing T. Zeng, V. G. Vinod Vydiswaran, Kevyn Collins-Thompson, Kai Zheng
Assessing the readability of ClinicalTrials.gov. J. Am. Medical Informatics Assoc. 23 (2) (2016)
V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang
The DARPA Twitter Bot Challenge. CoRR (2016)
Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58 (2015)
Tera L. Reynolds, V. G. Vinod Vydiswaran, Yuting Wu, Qiaozhu Mei, David A. Hanauer, Kai Zheng
Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content. AMIA (2015)
Fengmin Hu, Danny T. Y. Wu, Qiaozhu Mei, V. G. Vinod Vydiswaran
Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. TREC (2015)
V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli
Overcoming bias to learn about controversial topics. J. Assoc. Inf. Sci. Technol. 66 (8) (2015)
V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, David A. Hanauer, Qiaozhu Mei
User-Created Groups in Health Forums: What Makes Them Special? ICWSM (2014)
V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, Kai Zheng
Mining Consumer Health Vocabulary from Community-Generated Text. AMIA (2014)
Parikshit Sondhi, V. G. Vinod Vydiswaran, ChengXiang Zhai
Reliability Prediction of Webpages in the Medical Domain. ECIR (2012)
V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli
Unbiased learning of controversial topics. ASIST (2012)
V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli
BiasTrust: teaching biased users about controversial topics. CIKM (2012)
V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth
Content-driven trust propagation framework. KDD (2011)
V. G. Vinod Vydiswaran, Jeroen van den Eijkhof, Raman Chandrasekar, Ann Paradiso, Jim St. George
News Sync: Enabling scenario-based news exploration. ASIST (2011)
Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth
"Ask Not What Textual Entailment Can Do for You...". ACL (2010)
Mark Sammons, Idan Szpektor, V. G. Vinod Vydiswaran
Textual Entailment. NAACL (Tutorial Abstracts) (2010)
Yuanhua Lv, Jing He, V. G. Vinod Vydiswaran, Kavita Ganesan, ChengXiang Zhai
A Study of Term Proximity and Document Weighting Normalization in Pseudo Relevance Feedback--UIUC at TREC 2009 Million Query Track. TREC (2009)
Dan Roth, Mark Sammons, V. G. Vinod Vydiswaran
A Framework for Entailed Relation Recognition. ACL/IJCNLP (2) (2009)
V. G. Vinod Vydiswaran, Kavita Ganesan, Yuanhua Lv, Jing He, ChengXiang Zhai
Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track. TREC (2009)
Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua Rule, Quang Do, Dan Roth
Relation Alignment for Textual Entailment Recognition. TAC (2009)
Hyun Duk Kim, Dae Hoon Park, V. G. Vinod Vydiswaran, ChengXiang Zhai
Opinion Summarization Using Entity Features and Probabilistic Sentence Coherence Optimization: UIUC at TAC 2008 Opinion Summarization Pilot. TAC (2008)
V. G. Vinod Vydiswaran, Sunita Sarawagi
Learning to extract information from large websites using sequential models. COMAD (2005)
Sunita Sarawagi, V. G. Vinod Vydiswaran
Learning to extract information from large domain-specific websites using sequential models. SIGKDD Explor. 6 (2) (2004)
Sunita Sarawagi, V. G. Vinod Vydiswaran, Sumana Srinivasan, Kapil Bhudhia
Resolving citations in a paper repository. SIGKDD Explor. 5 (2) (2003)