* denotes Equal contribution author, † denotes corresponding author

Highlight paper:
  1. LREC, NLPIARPA
    MultiSeg: Parallel Data and Subword Information for Learning Bilingual Embeddings in Low Resource Scenarios
    Efsun Sarioglu Kayi *Vishal Anand *, and Smaranda Muresan
    In Proceedings of LREC, SLTU-CCURL, Marseille, France, , May 2020

Complete List:
  1. WWW - NLPAC = 19.8%
    Explicit and Implicit Semantic Ranking Framework
    Xiaofeng Zhu, Thomas LinVishal Anand, Matthew Calderwood, Eric Clausen-Brown, Gord Lueck, Wen-Wai Yim, and Cheng Wu
    In Proceedings of the ACM Web Conference (WWW), Apr 2023
  2. US PatentNLP - Context
    Training a Learning-to-Rank Model using a Linear Difference Vector
    Xiaofeng Zhu, Vishal AnandThomas Lin, Matthew Calderwood, Eric Clausen-Brown, Gord Lueck, Wen-Wai Yim, Anuj Jain, Andres D’Elia, and Cheng Wu
    In 152 PCT countries, 18/182,149., Mar 2023
  1. US PatentNLP - NLG
    Natural Language Generation: Building and Using Target-Based Sentiment Models
    Vishal Anand, Pramodith Ballapuram, Ananya Mishra, and Cheng Wu
    In 152 PCT countries, 17/981,293., Nov 2022
  2. Multimodal-NLPLeaderboard #1NIST Invited Talk
    Semantic Undersanding and Evolving Interaction Tracking in Long-form Multimodal Datasets
    Vishal Anand, Yifei Dong, Raksha Ramesh, Zifan Chen, Yun Chen, Linquan Li, and Ching-Yung Lin
    In Proceedings of TRECVID, Dec 2022
  3. Multimodal-NLPLeaderboard #1
    Leveraging Text Representation and Face-Head Tracking for Long-Form Multimodal Semantic Relation Understanding
    Raksha Ramesh *Vishal Anand *, Zifan Chen, Yifei Dong, Yun Chen, and Ching-Yung Lin
    In Proceedings of the 30th ACM International Conference on Multimedia, Oct 2022
  1. NeurIPS
    PreDisM: Pre-Disaster Modelling With CNN Ensembles for At-Risk Communities
    Vishal Anand, and Yuki Miura
    In NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, Dec 2021
  2. Multimodal-NLPLeaderboard #1NIST Invited Talk
    MultiModal Language Modelling on Knowledge Graphs for Deep Video Understanding
    Vishal Anand, Raksha Ramesh, Boshen Jin, Ziyin Wang, Xiaoxiao Lei, and Ching-Yung Lin
    In Proceedings of the 29th ACM International Conference on Multimedia, Oct 2021
  1. Multimodal-NLPOral Talk
    Kinetics and Scene Features for Intent Detection
    Raksha Ramesh, Vishal Anand, Ziyin Wang, Tianle Zhu, Wenfeng Lyu, Serena Yuan, and Ching-Yung Lin
    In Companion Publication of the 2020 International Conference on Multimodal Interaction, Oct 2020
  2. Multimodal-NLPLeaderboard #3
    Story Semantic Relationships from Multimodal Cognitions
    Vishal Anand, Raksha Ramesh, Ziyin Wang, Yijing Feng, Jiana Feng, Wenfeng Lyu, Tianle Zhu, Serena Yuan, and Ching-Yung Lin
    In Proceedings of the 28th ACM International Conference on Multimedia, , Oct 2020
  3. LREC, NLPIARPA
    MultiSeg: Parallel Data and Subword Information for Learning Bilingual Embeddings in Low Resource Scenarios
    Efsun Sarioglu Kayi *Vishal Anand *, and Smaranda Muresan
    In Proceedings of LREC, SLTU-CCURL, Marseille, France, , May 2020
  1. US Patent
    Systems and methods for preventing fraud
    In 152 PCT countries, Aug 2017, Published , Feb 2019
    1. US Patent
      Security approaches for virtual reality transactions
      In 152 PCT countries. Filed, Jun 2016, Published , Dec 2017
    1. Bachelor_Thesis
      Learning Word Vector Representation in Multi-Task Framework
      In Bachelor’s Thesis - IIT Guwahati, , Apr 2015
    2. AAAI
      On Optimizing Human-Machine Task Assignments
      Andreas Veit, Michael Wilber, Rajan Vaish, Serge Belongie, James Davis, Vishal Anand, and 38 authors
      In AAAI Conference on Human Computation and Crowdsourcing, , Nov 2015