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Position: Assistant Professor, Department of Computer Science, Rutgers University – New Brunswick

Research Interests: Machine Learning and Data Mining, Information Retrieval and Recommender Systems, Explainable AI, Fairness in AI, Personalized AI, AI and Economics, AI for Science, AI for Social Good, AI Ethics

Lab: The Web Intelligent Systems and Economics (WISE) Lab at Rutgers, http://wise.cs.rutgers.edu

Contact: Department of Computer Science, 110 Frelinghuysen Road, Rutgers University, Piscataway, NJ 08854, USA

Education and Experience:

Academic Services:

  • PC Member:
    SIGIR 2017-2021; WWW 2017-2022; RecSys 2018-2021; CIKM 2014-2015,2017,2021; AAAI 2019-2022; IJCAI 2017-2019; WSDM 2017-2018; ICTIR 2020-2021; ACL 2018-2019; NAACL 2016,2018; EMNLP 2018-2019; WEB 2017; CCIR 2017
  • Senior PC Member:
    WWW 2020, KDD 2021, RecSys 2021, AAAI 2022
  • Co-Chair:
    The 1st International Workshop on Causality in Search and Recommendation (CSR 2021, co-located with SIGIR 2021)
    The 1st International Workshop on Machine Reasoning (MRC 2021, co-located with WSDM 2021)
    The 1st, 2nd and 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2018/2019/2020, co-located with SIGIR 2018/2019/2020)
    2019 International Workshop on Recommendation in Multistakeholder Environments (RMSE 2019, co-located with RecSys 2019)
    The 2nd Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2018, co-located with WSDM 2018)
  • Associate Editor: ACM Transactions on Information Systems; Frontiers in Big Data and AI -- Data Mining and Management
  • Guest Editor: Multimedia Systems Special Issue on Multi-model Data Analysis; ACM TOIS Special Issue on Conversational Search and Recommendation
  • Mentor:
    WSDM 2021 Doctoral Consortium, SIGIR 2021 Doctoral Consortium
  • Reviewer: ACM Transactions on Information Systems (TOIS), ACM Transactions on Knowledge Discovery from Data (TKDD)
    ACM Transactions on Intelligent Systems and Technology (TIST), IEEE Transactions on Multimedia (MM)
    Information Systems, IEEE Transactions on Knowledge and Data Engineering (TKDE), World Wide Web Journal (WWWJ)
    Frontiers of Computer Science (FCS), Information Retrieval Journal (IRJ), Information Processing Letters (IPL)
    IJCAI 2013, AAAI 2013, WSDM 2014, AAAI 2014, WWW 2015, SIGIR 2015, IJCAI 2015, KDD 2015, SIGIR 2016, KDD 2016

Honors and Awards:

  • 2021 NSF CAREER Award
  • 2020 Distinguished Editor for ACM Transactions on Information Systems (TOIS)
  • 2019 RecSys Best Paper Honorable Mention
  • 2018 Rutgers CS Best Professor Award for Teaching and Mentoring
  • 2017 AIRS Best Paper Award
  • 2017 THU and CAAI Best PhD Dissertation Award
  • 2015 Microsoft PhD Fellowship
  • 2015 Siebel Scholar
  • 2014 Baidu Scholar
  • 2014 IBM PhD Fellowship
  • 2012 Google Scholarship

Recent News:

  • 2021-09-12 Grateful to receive Facebook Faculty Research Award as PI "Towards a Sustainable Social Platform based on Explainable and Fairness-aware Recommendation" to support our research.
  • 2021-08-26 Grateful to receive NSF grant IIS-2127918 as co-PI "RI: Small: Enabling Interpretable AI via Bayesian Deep Learning" to support our research. Details can be found on NSF award abstract.
  • 2021-08-16 Papers on Counterfactual Explainable Recommendation, Unbiased Conversational Recommendation, and Causal Recommendation accepted to CIKM 2021.
  • 2021-07-28 Grateful to receive NSF grant IIS-2046457 as PI "CAREER: Towards Conversational Recommendation Systems: Explainability, Fairness, and Human-in-the-Loop Learning" to support our research on Conversational AI and Human-in-the-Loop AI. Details can be found on NSF award abstract and our Project Homepage.
  • 2021-07-10 Grateful to receive NSF grant CCF-2124155 as co-PI "FMitF: Track I: Synthesis and Verification for Programmatic Reinforcement Learning" to support our research on Neural-Symbolic AI and Explainable AI. Details can be found on NSF award abstract and our Project Homepage.
  • 2021-07-08 Paper on Explainable Recommendation in collaboration with Amazon accepted to RecSys 2021.
  • 2021-05-06 Paper on Personalized Transformer accepted to ACL 2021.
  • 2021-04-15 Papers on Fairness, Federated Learning, Counterfactual Recommendation, Conversational Recommendation, and Explainable Recommendation accepted to SIGIR 2021.
  • 2021-03-26 Give an invited talk Explainable Human-centered AI at the CIIR Talk Series.
  • 2021-01-19 Give an invited talk Explainable Human-centered AI at the Salesforce Research Speaking Session.
  • 2021-01-16 Papers on Reasoning, Fairness, Generative Recommendadtion, Knowledge Graph Embedding and Explainable Recommendation accepted to WWW 2021.
  • 2020-12-17 Give an invited talk Explainable Human-centered AI at Instacart Algorithms Research Seminar.
  • 2020-12-10 Give an invited keynote speech Explainable Human-centered AI at the 2020 IEEE BigData Speical Session on Explainable Artificial Intelligence in Safety Critical Systems.
  • 2020-10-16 Our research on Long-term Fairness is accepted as a full paper to the WSDM 2021 conference.
  • 2020-09-10 Grateful to receive NSF grant IIS-2007907 as PI "III: Small: Collaborative Research: Scrutable and Explainable Information Retrieval with Model Intrinsic and Agnostic Approaches", to support our research on Explainable Search. Details can be found on NSF award abstract and our Project Homepage.
  • 2020-08-10 Our research on Neural Logic Reasoning, Neural Symbolic Reasoning, Generating Natural Language Explanations, and Economic Recommendation are accepted as four long papers to the CIKM 2020 conference.
  • 2020-07-08 Give an invited talk Towards Explainable Artificial Intelligence at Infinia ML Tech Talk.
  • 2020-06-20 Our research on Risk-aware Recommendation, Fairness-aware Recommendation, Echo Chamber Analysis, and Learning to Hash are accepted as long papers on the SIGIR 2020 conference.
  • 2019-09-20 Our research on Pareto-efficient and Fairness-aware Learning to Rank was awarded a Best Paper Honorable Mention at the ACM RecSys 2019 conference. Check out the research which improves the Pareto efficiency and fairness of recommender systems.
  • 2019-09-03 Grateful to receive NSF grant IIS-1910154 as PI "III: Small: Towards Explainable Recommendation Systems" to support our research on Explainable Recommendation. Details can be found on NSF award abstract and our Project Homepage.
  • 2019-08-20 Three long papers accepted by CIKM 2019, including our recent research on Conversational Search, Conversational QA, and Recommendation Systems.
  • 2019-04-15 Five long papers and one short paper accepted by SIGIR 2019, including our recent research on Knowledge-enhanced machine learning, visually explainable recommendation, and conversational question answering.
  • 2019-03-12 We are organizing the 2nd International Workshop on ExplainAble Recommendation and Search (EARS 2019) on July 25, to be co-located with SIGIR 2019 in Paris, France. More information and call for papers will be released soon.
  • 2019-03-11 We are organizing the 2019 International Workshop on Recommendation in Multistakeholder Environments (RMSE 2019) on September 19-20, co-located with RecSys 2019 in Copenhagen, Denmark. More information and call for papers will be released soon.
  • 2019-01-20 Three research papers accepted by the Web Conference 2019 (WWW 2019), including our recent research on bridging machine learning and economic principles for economic analysis of web-based systems.
  • 2018-08-06 Our research paper on Towards Conversational Search and Recommendation: System Ask, User Respond got accepted by CIKM 2018 as a full paper.
  • 2018-06-22 Give an invited talk "Explainable Recommendation and Search" at Guangzhou University, Guangzhou, China
  • 2018-06-18 Give an invited talk "Explainable Recommendation and Search" at the Software College, Northeastern University, Shenyang, China.
  • 2018-06-15 Give an invited talk "Economics of Recommendation and Search Systems" at Alibaba incorporation.
  • 2018-06-14 Give an invited talk "Conversational Search in E-commerce" at the Department of Computer Science, Tsinghua University.
  • 2018-06-14 Give an invited talk "Explainable Recommendation and Search" at Institute of Computing Technology, Chinese Academy of Sciences.
  • 2018-05-31 Give an invited talk "From Textual to Visual Explainable Recommendation" at Microsft Research Asia.
  • 2018-03-15 We are organizing the 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018), to be co-loacted with SIGIR 2018 at Ann Arbor, Michigan. Please check out the call for papers at https://ears2018.github.io/.
  • 2017-12-15 Please check out the accepted papers and schedule of the second International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2018), by clicking here.
  • 2017-10-24 Paper on Sequential Recommendation with Memory Networks got accepted by WSDM 2018.
  • 2017-08-15 We are organizing the Second International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2018) co-located with WSDM 2018 at Los Angeles, please checkout the workshop website by clicking here, and kindly consider a contribution!
  • 2017-08-06 Two papers about Joint Representation Learning for Recommendation and Visibility Issues in Recommendation got accepted by CIKM 2017 as full papers, our Joint Representation Learning (JRL) algorithm got 2~3 times improvement than shallow baselines for top-N recommendation, check out the papers and source codes!
  • 2017-04-10 Our two papers about Personalized Product Search and Personalized Key Frame Recommendation got accepted by SIGIR 2017, check out these new research tasks!
  • 2017-01-26 Will give a talk Unstructured Data Mining for Web Personalization in Boston University.
  • 2016-10-17 See how machine learninhg can help to quantity essential economic concepts and model the online economy in our paper “Multi-Product Utility Maximization for Economic Recommendation” accepted as a full paper in WSDM 2017.
  • 2016-06-05 We are organizing the Tsinghua University Forum on Intelligent Recommendation, with distinguished keynote speakers Prof. Jian-Yun Nie from UMontreal, Dr. Xing Xie from MSRA, Dr. Quan Yuan from Alibaba, and Dr. Yading Yue from Tencent. Welcome to join!
  • 2016-06-01 Will give a talk Personalized Recommendation based on Internet Surplus Maximization in Renmin University of China.
  • 2016-05-18 Gave a talk Internet Welfare Economics in School of Computer Science, Beijing University of Technology.
  • 2015-12-16 Let's promote the Web Intelligence towards Social Good! See our paper “Economic Recommendation with Surplus Maximization” accepted as a full paper in WWW 2016.
  • 2015-04-17 Nearly driven crazy by the countless and continuously emerging approachs of shilling attach in practical recommender systems? See our paper “Catch the Black Sheep: Unified Framework for Shilling Attack Detection based on Fraudulent Action Propagation” in IJCAI 2015.
  • 2015-01-18 Leverage the rather mature time series analysis techniques for business intelligence. See our paper “Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis” accepted as a full paper by WWW 2015.
  • 2014-11-21 It's time to care about the role of textual reivews in recommender systems! See our research proposal “Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation” accepted by WSDM 2015.
  • 2014-11-10 Our paper “SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering” is accepted as a full paper by AAAI 2015.
  • 2014-08-09 Our paper entitled “Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables” is accepted as a long paper by CIKM 2014.
  • 2014-07-07 My research proposal “Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs” is accepted by the Doctoral Symposium of the RecSys 2014 conference.
  • 2014-04-12 Our paper “Explicit Factor Models for Explainable Recommendation based on Phrase-level Sentiment Analysis” is accepted as a long paper by SIGIR 2014.
  • 2014-04-12 Our paper entitled “Do Users Rate or Review? Boost Phrase-level Sentiment Labeling with Review-level Sentiment Classification” has been accepted as a short paper by SIGIR 2014.
  • 2013-12-08 I am visiting as a research assistant at the School of Computing (SoC) in the National University of Singapore (NUS) for about 3 months.
  • 2013-09-15 Our paper entitled “Towards the Adaption to the Open Texture of Law” was accepted by CSMES 2013.
  • 2013-08-18 Our paper entitled “A Unified Framework for Emotional Elements Extraction based on Finite State Matching Machine” was accepted as a long paper by NLPCC 2013.
  • 2013-04-05 Our paper “Improve Collaborative Filtering Through Bordered Block Diagonal Form Matrices” was accepted as a long paper by SIGIR 2013.
  • 2013-02-08 Our paper entitled “Localized Matrix Factorization for Recommendation based on Matrix Block Diagonal Forms” was accepted as a long paper by WWW 2013.
  • 2013-02-05 Our paper “A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms” was accepted as a short paper by ACM Hypertext 2013.
  • 2013-01-10 Our paper entitled “Is Fengshui Science or Superstition? A New Criterion for Judging the Value of Knowledge Systems” is published in Vol.3 No.1 in Journal of Literature and Art Studies.
  • 2012-10-08 I gave a talk about “Framework of Distributed Recommender Systems“ in State Key Laboratory of Intelligent Technology and Systems of CS Dept. at Tsinghua University.
  • 2012-04-23 I gave a talk about “A Suervey of Recommender Systems“ in State Key Laboratory of Intelligent Technology and Systems of CS Dept. at Tsinghua University.