Zhenduo Wang is a researcher on Conversational Systems, Language Generation, Reinforcement Learning and Imitation Learning. He got his Master degree of Science at University of Minnesota Duluth. Now he is a Ph.D. candidate in Computer Science at University of Utah. A resume can be found here. A research statement can be found here.

Publications

• Zero-shot Clarifying Question Generation for Conversational Search
  Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai
  In Proceedings of the Web Conference 2023 (WWW)
  [Code]

• Marginal-Certainty-aware Fair Ranking Algorithm
  Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
  In Web Search and Data Mining Conference 2023 (WSDM)
  [Code]

• Simulating and Modeling the Risk of Conversational Search
  Zhenduo Wang, Qingyao Ai
  In ACM Transactions on Information Systems (TOIS)
  [Code] [Dataset]

• Controlling the Risk of Conversational Search via Reinforcement Learning
  Zhenduo Wang, Qingyao Ai
  In Proceedings of the Web Conference 2021 (WWW)
  [Code]

• UMDSub at semeval-2018 task 2: Multilingual emoji prediction multi-channel convolutional neural network on subword embedding
  Zhenduo Wang, Ted Pedersen
  In Proceedings of The 12th International Workshop on Semantic Evaluation (NAACL SemEval)
  [Code]

• ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets
  Kevin Swanberg, M Mirza, Ted Pedersen, Zhenduo Wang
  In Proceedings of The 12th International Workshop on Semantic Evaluation (NAACL SemEval)