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'Learning from a learning user: a new perspective for interactive recommendation'.ĪI Lecture Series, School of Artificial Intelligence, Jilin University, Dec 20, 2021.

Microsoft Research Asia, Apr 29, 2022.

'Learning from a learning user: a new perspective for interactive recommendation'. I am offering CS6501: Information Retrieval this Fall semester.ĪI/ML Seminar, Meta AI, Jun 10, 2022. I am going to offer CS6501: Text Mining next Spring semester. Please note the application deadline is December 15th, 2014. More information about the graduate admission at can be found here. degree in the areas of data mining and information retrieval, please contact me. If you are self-motivated and want to pursue a Ph.D. I was selected for the WSDM 2015 Outstanding Reviewer Award. The course website for CS6501 Text Mining has been deployed. I gave an invitated talk about 'Human-centric big data mining' in Quantitative Psychology Group in the Department of Psychology at UVa. I gave an invitated talk about 'Human-centric big data mining' at Center for Embedded Systems for Critical Applications (CESCA) in the Department of Electrical and Computer Engineering at Virginia Tech.

Call for papers will be announced shortly. Our proposal of 'Call for Special Issue on Search, Mining and their Applications on Mobile Devices' has been accepted by the ACM Transactions on Information Systems (TOIS). More details about this award can be found here and our project website is here. I have received the NSF Faculty Early Career Development Program (CAREER) Award. I gave an invitated talk about 'Collaborative Online Learning' at Yahoo Search Science Team. More details about this award can be found here. Our research of ' Collaborative Learning with Incomplete and Noisy Knowledge' has been funded by NSF III program. Our research of ' Collaborative Sensing: An Approach for Immediately Scalable Sensing in Buildings' has been funded by NSF CPS program. Our group homepage is now available at 16, 2016 We have been awarded by the Yelp Dataset Challenge Round Eight! I gave an invitated talk about 'Contextual Bandits in a Collaborative Environment' at the Department of Computer Science and Technology, Tsinghua University, Beijing China. Our research of ' Cyber Physical Mappings - Empower Building Analytics at Scale' has been funded by NSF IIS program. Our research of ' The Building Adapter: Automatic Mapping of Commercial Buildings for Scalable Building Analytics' has been funded by the U.S. Thanks Nvidia for the generious support of a Titan XP GPU! Our research in ' Learning and Improving Alzheimer's Patient-Caregiver Relationships via Smart Healthcare Technology' has been funded by NSF SCH program. I was selected for the WSDM 2019 Outstanding Senior Program Committee Award. I gave an invitated talk about 'Context Attentive Document Ranking and Query Suggestion in Search Tasks' at the Task Intelligence Workshop, WSDM'2019, Melbourne Australia. I gave an invitated talk about 'Learning Contextual Bandits in a Non-Stationary Environment' at Pinterest. I gave an invitated talk about 'Join Network Embedding with Topic Embedding for User Representation Learning' at LinkedIn. Our paper ' Variance Reduction in Gradient Exploration for Online Learning to Rank' received the Best Paper Award at SIGIR'2019! I am offering CS4780/6501 Information Retrieval in the spring semester. We are giving a tutorial on Learning by Exploration at KDD'2020. I am offering CS6501 Reinforcement Learning in the fall semester. Our research in ' Towards Explainable Personalization' has been funded by NSF IIS program. I am offering CS4780 Information Retrieval in the spring semester. I will be visiting the Department of Computer Science and Technology at Tsinghua University in the academic year 2021-22 for my sabbatical leave.

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Our research in ' Moving offline learning to rank online, from theory to practice' has been funded by NSF IIS program. Interested in multi-arm bandits? You can now play with such algorithms here. You are highly welcomed to try them out and provide us feedback! We have reorganized our group's algorithms and released most of them through this GitHub site.