Publications

2024

• [bib] Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, and Jie Yang. `It Is a Moving Process': Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. In ACM Conference on Human Factors in Computing Systems (CHI).
  

  @inproceedings{corti2024chi,
    title={"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine},
    author={Corti, Lorenzo and Oltmans, Rembrandt and Jung, Jiwon and Balayn, Agathe and Wijsenbeek, Marlies and Yang, Jie},
    booktitle={Proceedings of the ACM Conference on Human Factors in Computing Systems},
    pages={to appear},
    year={2024},
    organization={ACM}
  }
  

• [bib] Mingkun Yang, Ran Zhu, Qing Wang, and Jie Yang. FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning. In International Conference on Learning Representations (ICLR).
  

  @inproceedings{yang2024iclr,
    title={FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning},
    author={Yang, Mingkun and Zhu, Ran and Wang, Qing and Yang, Jie},
    booktitle={Proceedings of The Twelfth International Conference on Learning Representations},
    pages={to appear},
    year={2024},
    organization={}
  }
  

• [bib] Weijian Yu, Jie Yang, and Dingqi Yang. Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs. In The Web Conference (WWW).
  

  @inproceedings{yu2024www,
    title={Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs},
    author={Yang, Mingkun and Zhu, Ran and Wang, Qing and Yang, Jie},
    booktitle={The World Wide Web Conference},
    pages={to appear},
    year={2024},
    organization={ACM}
  }
  

• [bib] Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew Soon Ong, and Wenyuan Liu. Adaptive In-Context Learning with Large Language Models for Bundle Generation. In ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).
  

  @inproceedings{sun2024sigir,
    title={Adaptive In-Context Learning with Large Language Models for Bundle Generation},
    author={Sun, Zhu and Feng, Kaidong and Yang, Jie and Qu, Xinghua and Fang, Hui and Ong, Yew Soon and Liu, Wenyuan},
    booktitle={Proceedings of the 45 ACM SIGIR Conference on Research and Development in Information Retrieval},
    pages={to appear},
    year={2024},
    organization={ACM}
  }
  

• [bib] Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew Soon Ong, and Wenyuan Liu. Revisiting Bundle Recommendation for Intent-aware Product Bundling. In ACM Transactions on Recommender Systems (TORS).
  

  @inproceedings{sun2024tors,
    title={Revisiting Bundle Recommendation for Intent-aware Product Bundling},
    author={Sun, Zhu and Feng, Kaidong and Yang, Jie and Fang, Hui and Qu, Xinghua and Ong, Yew Soon and Liu, Wenyuan},
    booktitle={ACM Transactions on Recommender Systems},
    pages={to appear},
    year={2024},
    organization={ACM}
  }
  

2023

• [bib] Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang. A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. In arXiv.
  

  @inproceedings{tocchetti2023csur,
    title={A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities},
    author={Tocchetti, Andrea and Corti, Lorenzo and Balayn, Agathe and Yurrita, Mireia and Lippmann, Philip and Brambilla, Marco and Yang, Jie},
    booktitle={arxiv: 2210.08906},
    pages={},
    year={2023},
    organization={}
  }
  

• [bib] Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen. Rethinking and Recomputing the Value of ML Models. In arXiv.
  

  @inproceedings{sayin2023acl,
    title={Rethinking and Recomputing the Value of ML Models},
    author={Sayin, Burcu and Casati, Fabio and Passerini, Andrea and Yang, Jie and Chen, Xinyue},
    booktitle={arxiv: 2209.15157},
    pages={},
    year={2023},
    organization={}
  }
  

• [bib] Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, and Jie Yang. How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. In AAAI/ACM Conference on AI, Ethics, and Society (AIES).
  

  @inproceedings{lammerts2023aies,
    title={How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection},
    author={Lammerts, Philippe and Lippmann, Philip and Hsu, Yen-Chia and Casati, Fabio and Yang, Jie},
    booktitle={AAAI/ACM Conference on AI, Ethics, and Society},
    pages={to appear},
    year={2023},
    organization={AAAI/ACM}
  }
  

• [bib] Agathe Balayn, Mireia Yurrita, Jie Yang, and Ujwal Gadiraju. Fairness Toolkits, A Checkbox Culture? On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. In AAAI/ACM Conference on AI, Ethics, and Society (AIES).
  

  Best Paper Award

  @inproceedings{balayn2023aies,
    title={Fairness Toolkits, A Checkbox Culture? On the Factors that Fragment Developer Practices in Handling Algorithmic Harms},
    author={Balayn, Agathe and Yurrita, Mireia and Yang, Jie and Gadiraju, Ujwal},
    booktitle={AAAI/ACM Conference on AI, Ethics, and Society},
    pages={},
    year={2023},
    organization={AAAI/ACM}
  }
  

• [bib] Agathe Balayn, Nataša Rikalo, Jie Yang, and Alessandro Bozzon. Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. In ACM Conference on Human Factors in Computing Systems (CHI).
  

  @inproceedings{balayn2023chi,
    title={Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs},
    author={Balayn, Agathe and Rikalo, Natasa and Yang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the ACM Conference on Human Factors in Computing Systems},
    pages={to appear},
    year={2023},
    organization={ACM}
  }
  

• [bib] Sepideh Mesbah, Ines Arous, Jie Yang, and Alessandro Bozzon. HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. In The Web Conference (WWW).
  

  Best Paper Award nomination

  @inproceedings{mesbah2023www,
    title={HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale},
    author={Mesbah, Sepideh and Arous, Ines and Yang, Jie and Bozzon, Alessandro},
    booktitle={The World Wide Web Conference},
    pages={to appear},
    year={2023},
    organization={ACM}
  }
  

• [bib] Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, and Jie Zhang. DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
  

  @inproceedings{sun2023tpami,
    title={DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation},
    author={Sun, Zhu and Fang, Hui and Yang, Jie and Qu, Xinghua and Liu, Hongyang and Yu, Di and Ong, Yew Soon and Zhang, Jie},
    booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    pages={to appear},
    year={2023},
    organization={IEEE}
  }
  

• [bib] Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, Agathe Balayn, Ujwal Gadiraju, Jie Yang, and Alessandro Bozzon. Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. In ACM Conference on Intelligent User Interfaces (IUI).
  

  @inproceedings{sharifi2023iui,
    title={Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality},
    author={Sharifi Noorian, Shahin and Qiu, Sihang and Sayin, Burcu and Balayn, Agathe and Gadiraju, Ujwal and Yang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the 28th ACM Conference on Intelligent User Interfaces},
    pages={to appear},
    year={2023},
    organization={ACM}
  }
  

• [bib] Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, and Qing Wang. Centimeter-Level Indoor Visible Light Positioning. In IEEE Communications Magazine.
  

  @inproceedings{zhu2023com,
    title={Centimeter-Level Indoor Visible Light Positioning},
    author={Zhu, Ran and Van den Abeele, Maxim and Beysens, Jona and Yang, Jie and Wang, Qing},
    booktitle={IEEE Communications Magazine},
    volume={62},
    issue={3},
    pages={48 - 53},
    year={2024},
    organization={IEEE}
  }
  

• [bib] Ran Zhu, Mingkun Yang, Jie Yang, and Qing Wang. FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications. In Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
  

  @inproceedings{zhu2023secon,
    title={FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications},
    author={Zhu, Ran and Yang, Mingkun and Yang, Jie and Wang, Qing},
    booktitle={Proceedings of the 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)},
    pages={to appear},
    year={2023},
    organization={}
  }
  

• [bib] Burcu Sayin, Jie Yang, Andrea Passerini, and Fabio Casati. Value-aware active learning. In International Conference on Hybrid Human-Artificial Intelligence (HHAI).
  

  @inproceedings{sayin2023ahhai,
    title={Value-aware active learning},
    author={Sayin, Burcu and Yang, Jie and Passerini, Andrea and Casati, Fabio},
    booktitle={International Conference on Hybrid Human-Artificial Intelligence (HHAI)},
    pages={to appear},
    year={2023},
    organization={}
  }
  

• [bib] Burcu Sayin, Jie Yang, Andrea Passerini, and Fabio Casati. Value-based Hybrid Intelligence. In International Conference on Hybrid Human-Artificial Intelligence (HHAI).
  

  @inproceedings{sayin2023bhhai,
    title={Value-based Hybrid Intelligence},
    author={Sayin, Burcu and Yang, Jie and Passerini, Andrea and Casati, Fabio},
    booktitle={International Conference on Hybrid Human-Artificial Intelligence (HHAI)},
    pages={to appear},
    year={2023},
    organization={}
  }
  

• [bib] Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian McAuley, Aram Galstyan, Xiaohua Hu, and Jie Yang. The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models. In ACM International Conference on Information and Knowledge Management.
  

  @inproceedings{zheng2023cikm,
    title={The first workshop on personalized generative AI@ cikm 2023: Personalization meets large language models},
    author={Zheng, Chen and Jiang, Ziyan and Yang, Fan and He, Zhankui and Hou, Yupeng and Cho Eunah and McAuley Julian and Galstyan, Aram and Hu, Xiaohua and Yang, Jie},
    booktitle={Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
    pages={5267-5270},
    year={2023},
    organization={ACM}
  }
  

• [bib] Gianluca Demartini, Jie Yang, and Shazia Sadiq. Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. In ACM SIGIR Forum.
  

  @inproceedings{demartini2023sigir,
    title={Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022},
    author={Demartini, Gianluca and Yang, Jie and Sadiq, Shazia},
    booktitle={ACM SIGIR Forum},
    pages={1--8},
    year={2023},
    organization={ACM}
  }
  

• [bib] Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, and Matthew Lease. Human-centered AI: Crowd computing. In Frontiers in Artificial Intelligence.
  

  @inproceedings{yang2023frontiers,
    title={Human-centered AI: Crowd Computing},
    author={Yang, Jie and Bozzon, Alessandro and Gadiraju, Ujwal, and Lease, Matthew},
    booktitle={Frontiers in Artificial Intelligence},
    volume={6},
    year={2023},
    organization={Frontiers Media SA}
  }
  

2022

• [bib] Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, and Alessandro Bozzon. What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. In The Web Conference (WWW).
  

  @inproceedings{sharifi2022www,
    title={What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition},
    author={Sharifi Noorian, Shahin and Qiu, Sihang and Gadiraju, Ujwal and Yang, Jie and Bozzon, Alessandro},
    booktitle={The World Wide Web Conference},
    pages={to appear},
    year={2022},
    organization={ACM}
  }
  

• [bib] Agathe Balayn, Gaole He, Jie Yang, and Ujwal Gadiraju. Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. In The Web Conference (WWW).
  

  Best Paper Award nomination

  @inproceedings{balayn2022www,
    title={Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game},
    author={Balayn, Agathe and He, Gaole and Yang, Jie and Gadiraju Ujwal},
    booktitle={The World Wide Web Conference},
    pages={to appear},
    year={2022},
    organization={ACM}
  }
  

• [bib] Agathe Balayn, Nataša Rikalo, Christoph Lofi, Jie Yang, and Alessandro Bozzon. How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?. In ACM Conference on Human Factors in Computing Systems (CHI).
  

  @inproceedings{balayn2022chi,
    title={Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game},
    author={Balayn, Agathe and Rikalo, Natasa and Lofi, Christoph and Yang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the ACM Conference on Human Factors in Computing Systems},
    pages={to appear},
    year={2022},
    organization={ACM}
  }
  

• [bib] Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, and Jie Yang. CHIME: Causal Human-In-the-Loop Model Explanations. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  @inproceedings{biswas2022hcomp,
    title={CHIME: Causal Human-In-the-Loop Model Explanations},
    author={Biswas, Shreyan and Corti, Lorenzo and Buijsman, Stefan and Yang, Jie},
    booktitle={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing},
    pages={to appear},
    year={2022},
    organization={AAAI}
  }
  

• [bib] Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, and Ujwal Gadiraju. It is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  Best Paper Award

  @inproceedings{he2022hcomp,
    title={It is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge},
    author={He, Gaole and Balayn, Agathe and Buijsman, Stefan and Yang, Jie and Gadiraju Ujwal},
    booktitle={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing},
    pages={to appear},
    year={2022},
    organization={AAAI}
  }
  

• [bib] Peide Zhu, Claudia Hauff, Jie Yang, Avishek Anand. Answer Quality Aware Aggregation for Extractive QA Crowdsourcing. In Empirical Methods in Natural Language Processing (EMNLP).
  

  @article{zhu2022emnlp,
    title={Answer Quality Aware Aggregation for Extractive QA Crowdsourcing},
    author={Zhu, Peide and Yang, Jie and Hauff, Claudia and Yang, Jie and Anand, Avishek},
    booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
    pages={to appear},
    year={2022},
    organization={ACL}
  }
  

• [bib] Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, and Yew Soon Ong. Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. In ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).
  

  @inproceedings{sun2022sigir,
    title={Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling},
    author={Sun, Zhu and Yang, Jie and Feng, Kaidong and Fang, Hui and Qu, Xinghua and Ong, Yew Soon},
    booktitle={Proceedings of the 45 ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)},
    pages={to appear},
    year={2022},
    organization={ACM}
  }
  

• [bib] Alisa Smirnova, Jie Yang, Dingqi Yang, and Philippe Cudré-Mauroux. Nessy: a Neuro-Symbolic System for Label Noise Reduction. In IEEE Transactions on Knowledge and Data Engineering (TKDE).
  

  @article{smirnova2022tkde,
    title={Nessy: a Neuro-Symbolic System for Label Noise Reduction},
    author={Smirnova, Alisa and Yang, Jie and Yang, Dingqi and Cudre-Mauroux, Philipe},
    booktitle={IEEE Transactions on Knowledge and Data Engineering},
    year={2022},
    organization={IEEE}
  }
  

• [bib] Akansha Bhardwaj, Jie Yang, and Philippe Cudré-Mauroux. Human-in-the-Loop Rule Discovery for Micropost Event Detection. In IEEE Transactions on Knowledge and Data Engineering (TKDE).
  

  @article{bhardwaj2022tkde,
    title={Human-in-the-Loop Rule Discovery for Micropost Event Detection},
    author={Bhardwaj, Akansha and Yang, Jie and Cudre-Mauroux, Philipe},
    booktitle={IEEE Transactions on Knowledge and Data Engineering},
    year={2022},
    organization={IEEE}
  }
  

• [bib] Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudré-Mauroux. Streaming Graph Embeddings via Incremental Neighborhood Sketching. In IEEE Transactions on Knowledge and Data Engineering (TKDE).
  

  @article{yang2022tkde,
    title={Streaming Graph Embeddings via Incremental Neighborhood Sketching},
    author={Yang, Dingqi and Qu, Bingqing and Yang, Jie and Wang, Liang and Cudre-Mauroux, Philipe},
    booktitle={IEEE Transactions on Knowledge and Data Engineering},
    year={2022},
    organization={IEEE}
  }
  

• [bib] Zhen Wang, Xu Shan, Xiangxie Zhang, Jie Yang. N24News: A New Dataset for Multimodal News Classification. In Language Resources and Evaluation Conference (LREC).
  

  @article{wang2022lrec,
    title={N24News: A New Dataset for Multimodal News Classification},
    author={Wang, Zhen and Shan, Xu and Zhang, Xiangxie and Yang, Jie},
    booktitle={Proceedings of the 13th Language Resources and Evaluation Conference},
    year={2022},
    organization={ELRA}
  }
  

• [bib] Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, and Alessandro Bozzon. An Analysis of Music Perception Skills on Crowdsourcing Platforms. In Frontiers in Artificial Intelligence.
  

  @inproceedings{samiotis2021hcomp,
    title={An Analysis of Music Perception Skills on Crowdsourcing Platforms},
    author={Samiotis, Ioannis Petros and Qiu, Sihang and Lofi, Christoph and Yang, Jie and Gadiraju, Ujwal and Bozzon, Alessandro},
    booktitle={Frontiers in Artificial Intelligence},
    volume={5},
    pages={828733},
    year={2022},
    organization={Frontiers}
  }
  

• [bib] Peide Zhu, Jie Yang, Claudia Hauff. MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. In Educational Data Mining (EDM).
  

  @article{wang2022lrec,
    title={MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions},
    author={Zhu, Peide and Yang, Jie and Hauff, Claudia},
    booktitle={Proceedings of the 15th International Conference on Educational Data Mining},
    year={2022}
  }
  

• [bib] Eric Wang, Jie Yang, Qing Wang, and Marco Zunigaz. CamPressID: Optimizing Camera Configuration and Finger Pressure for Biometric Authentication. In IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS).
  

  @article{wang2022lrec,
    title={CamPressID: Optimizing Camera Configuration and Finger Pressure for Biometric Authentication},
    author={Wang, Eric and Yang, Jie and Wang, Qing and Zunigaz, Marco},
    booktitle={Proceedings of the 2022  IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems},
    year={2022}
  }
  

2021

• [bib] Fabio Casati, Pierre-André Noël, and Jie Yang. On the Value of ML Models. In NeurIPS Workshop on Human and Machine Decisions (WHMD@NeurIPS).
  

  @inproceedings{casati2021neurips,
    title={On the Value of ML Models},
    author={Casati, Fabio and Noël Pierre-André and Yang, Jie},
    booktitle={NeurIPS Workshop on Human and Machine Decisions},
    year={2021}
  }
  

• [bib] Agathe Balayn, Jie Yang, Zoltan Szlavik, and Alessandro Bozzon. Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. In ACM Transactions on Social Computing (TSC).
  

  @article{balayn2021tsc,
    title={Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature},
    author={Balayn, Agathe and Yang, Jie and Szlavik, Zoltan and Bozzon, Alessandro},
    booktitle={ACM Transactions on Social Computing},
    volume={4},
    number={3},
    pages={1--56},
    year={2021},
    publisher={ACM}
  }
  

• [bib] Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, and Alessandro Bozzon. What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. In The Web Conference (WWW).
  

  @inproceedings{balayn2021www,
    title={What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis},
    author={Balayn, Agathe and Soilis, Panagiotis and Lofi, Christoph and Yang, Jie and Bozzon, Alessandro},
    booktitle={The World Wide Web Conference},
    pages={1937--1948},
    year={2021},
    organization={ACM}
  }
  

• [bib] Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju. FindItOut: A Multiplayer GWAP for Collecting Plural Knowledge. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  Best Demo Award

  @inproceedings{balayn2021hcomp,
    title={FindItOut: A Multiplayer GWAP for Collecting Plural Knowledge},
    author={Balayn, Agathe and He, Gaole and Yang, Jie and Gadiraju, Ujwal},
    booktitle={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing},
    year={2021},
    organization={AAAI}
  }
  

• [bib] Burcu Sayin, Jie Yang, Andrea Passerini, and Fabio Casati. The Science of Rejection: A Research Area for Human Computation. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  1st Prize Blue Sky Ideas

  @inproceedings{sayin2021hcomp,
    title={The Science of Rejection: A Research Area for Human Computation},
    author={Sayin, Burcu and Yang, Jie and Passerini, Andrea and Casati, Fabio},
    booktitle={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing},
    year={2021},
    organization={AAAI}
  }
  

• [bib] Burcu Sayin, Evgeny Krivosheev, Jorge Ramírez, Fabio Casati, Ekaterina Taran, Veronika Malanina, and Jie Yang. Crowd-Powered Hybrid Classification Services: Calibration is all you need. In IEEE International Conference on Web Services (ICWS).
  

  @inproceedings{sayin2021icws,
    title={Crowd-Powered Hybrid Classification Services: Calibration is all you need},
    author={Sayin, Burcu and Krivosheev, Evgeny and and Ramírez, Jorge and Casati, Fabio and Taran, Ekaterina and Malanina, Veronika and Yang, Jie},
    booktitle={Proceedings of the 2021 IEEE International Conference on Web Services},
    pages={42--50},
    year={2021},
    organization={IEEE}
  }
  

• [bib] Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, and Fabio Casati. A review and experimental analysis of active learning over crowdsourced data. In Artificial Intelligence Review.
  

  @article{sayin2021air,
    title={A review and experimental analysis of active learning over crowdsourced data},
    author={Sayin, Burcu and Krivosheev, Evgeny and Yang, Jie and Passerini, Andrea and Casati, Fabio},
    booktitle={Artificial Intelligence Review},
    pages={1--23},
    year={2021},
    publisher={Springer}
  }
  

• [bib] Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening Scholarly Paper Review Processes. In The Web Conference (WWW).
  

  @inproceedings{arous2020www,
    title={Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening Scholarly Paper Review Processes},
    author={Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
    booktitle={The World Wide Web Conference},
    pages={1916--1927},
    year={2021},
    organization={ACM}
  }
  

• [bib] Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, and Philippe Cudré-Mauroux. MARTA: Leveraging Human Rationales for Explainable Text Classification. In AAAI Conference on Artificial Intelligence (AAAI).
  

  @inproceedings{arous2021aaai,
    title={MARTA: Leveraging Human Rationales for Explainable Text Classification},
    author={Arous, Ines and Dolamic, Ljiljana and Yang, Jie and Bhardwaj, Akansha and Cuccu, Giuseppe and Cudr{\'e}-Mauroux, Philippe},
    booktitle={Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence},
    pages={5868--5876},
    year={2021},
    organization={AAAI}
  }
  

• [bib] Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, and Alessandro Bozzon. Exploring the Music Perception Skills of Crowd Workers. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  @inproceedings{samiotis2021hcomp,
    title={Exploring the Music Perception Skills of Crowd Workers},
    author={Samiotis, Ioannis Petros and Qiu, Sihang and Lofi, Christoph and Yang, Jie and Gadiraju, Ujwal and Bozzon, Alessandro},
    booktitle={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing},
    volume={9},
    pages={108--119},
    year={2021},
    organization={AAAI}
  }
  

• [bib] Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, and Nava Tintarev. Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. In ACM Conference on Hypertext and Social Media (HT).
  

  @inproceedings{najafian2021ht,
    title={Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations},
    author={Najafian, Shabnam and Draws, Tim and Barile, Francesco and Tkalcic, Marko and Yang, Jie and Tintarev, Nava},
    booktitle={Proceedings of the 32nd ACM Conference on Hypertext and Social Media},
    pages={155--164},
    year={2021},
    organization={ACM}
  }
  

• [bib] Pavel Hoogland, Margje Schuur, Piet van Hoffen, Jasper van Vliet, Oana Inel, Jie Yang. Exploring the Role of Domain Experts in Characterizing and Mitigating Machine Learning Errors. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  @inproceedings{hoogland2021hcomp,
    title={Exploring the Role of Domain Experts in Characterizing and Mitigating Machine Learning Errors},
    author={Hoogland, Pavel and Schuur, Margje and van Hoffen, Piet and van Vliet, Jasper and Yang, Jie},
    booktitle={AAAI Conference on Human Computation and Crowdsourcing},
    year={2021},
    organization={AAAI}
  }
  

• [bib] Emilija Zlatkute, Sihang Qiu, Jie Yang, Ujwal Gadiraju. The Role of Anthropomorphic Visual Cues in Human Interactions with Conversational Agents. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  @inproceedings{zlatkute2021hcomp,
    title={The Role of Anthropomorphic Visual Cues in Human Interactions with Conversational Agents},
    author={Zlatkute, Emilija and Qiu, Sihang and Yang, Jie and Gadiraju, Ujwal},
    booktitle={AAAI Conference on Human Computation and Crowdsourcing},
    year={2021},
    organization={AAAI}
  }
  

• [bib] Hao Liu, Hanting Ye, Jie Yang, Qing Wang. Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning. In ACM SenSys Workshop on AIChallengeIoT.
  

  @inproceedings{liu2021sensys,
    title={Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning},
    author={Liu, Hao and Ye, Hanting and Yang, Jie and Wang, Qing},
    booktitle={Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys)},
    pages={478--484},
    year={2021},
    organization={ACM}
  }
  

• [bib] Hossein A Rahmani and Jie Yang. Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. In CSCW21 Workshop - Investigating and Mitigating Biases in Crowdsourced Data.
  

  @inproceedings{rahmani2021bcd,
    title={Demographic Biases of Crowd Workers in Key Opinion Leaders Finding},
    author={Rahmani, Hossein A and Yang, Jie},
    booktitle={CSCW21 Workshop - Investigating and Mitigating Biases in Crowdsourced Data}
  }  
  

2020

• [bib] Ujwal Gadiraju, and Jie Yang. What Can Crowd Computing Do for the Next Generation of AI Technology?. In NeurIPS Workshop on Crowd Science (CSW@NeurIPS).
  

  @inproceedings{gadiraju2020what,
    title={What Can Crowd Computing Do for the Next Generation of AI Technology? },
    author={Gadiraju, Ujwal and Yang, Jie},
    booktitle={NeurIPS Workshop on Crowd Science},
    pages={7--13},
    year={2020},
    organization={CEUR Workshop Proceedings}
  }
  

• [bib] Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudré-Mauroux. LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. In IEEE Transactions on Knowledge and Data Engineering (TKDE).
  

  @article{yang2020tkde,
    title={LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks},
    author={Yang, Dingqi and Qu, Bingqing and Yang, Jie and Cudr{\'e}-Mauroux, Philippe},
    booktitle={IEEE Transactions on Knowledge and Data Engineering},
    year={2020},
    organization={IEEE}
  }
  

• [bib] Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, and Cong Geng. Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. In ACM Conference on Recommender Systems (RecSys).
  

  @inproceedings{sun2020recsys,
    title={Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison},
    author={Sun, Zhu and Yu, Di and Fang, Hui and Yang, Jie and Qu, Xinghua and Zhang, Jie and Geng, Cong},
    booktitle={ACM Conference on Recommender Systems},
    pages={23--32},
    year={2020},
    organization={ACM}
  }
  

• [bib] Rongting Zhang and Jie Yang. Web-to-Voice Transfer for Product Recommendation on Voice. In ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).
  

  @inproceedings{zhang2020sigir,
    title={Web-to-Voice Transfer for Product Recommendation on Voice},
    author={Zhang, Rongting and Yang, Jie},
    booktitle={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
    pages={1221--1230},
    year={2020},
    organization={ACM}
  }
  

• [bib] Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. In The Web Conference (WWW).
  

  @inproceedings{arous2020www,
    title={OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation},
    author={Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
    booktitle={The World Wide Web Conference},
    pages={1851--1862},
    year={2020},
    organization={ACM}
  }
  

• [bib] Felipe Moraes, Jie Yang, Rongting Zhang, and Vanessa Murdock. The Role of Attributes in Product Quality Comparisons. In ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR).
  

  @inproceedings{moraes2020chiir,
    title={The Role of Attributes in Product Quality Comparisons},
    author={Moraes, Felipe and Yang, Jie and Zhang, Rongting and Murdock, Vanessa},
    booktitle={Proceedings of the Fifth ACM SIGIR Conference on Human Information Interaction & Retrieval},
    pages={253--262},
    year={2020},
    organization={ACM}
  }
  

• [bib] Akansha Bhardwaj, Jie Yang, and Philippe Cudré-Mauroux. A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. In AAAI Conference on Artificial Intelligence (AAAI).
  

  @inproceedings{bhardwaj2020aaai,
    title={A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection},
    author={Bhardwaj, Akansha and Yang, Jie and Cudr{\'e}-Mauroux, Philippe},
    booktitle={Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence},
    pages={2451--2458},
    year={2020},
    organization={AAAI}
  }
  

2019

• [bib] Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, and Geert-Jan Houben. Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content. In Empirical Methods in Natural Language Processing (EMNLP).
  

  @inproceedings{mesbah2019emnlp,
    title={Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content},
    author={Mesbah, Sepideh and Yang, Jie and Sips, Robert-Jan and Valle Torre, Manuel and Lofi, Christoph and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing},
    pages={2349--2359},
    year={2019},
    organization={ACL}
  }
  

• [bib] Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, and Robin Burke. Research Commentary on Recommendations with Side Information: A Survey and Research Directions. In Electronic Commerce Research and Applications (ECRA).
  

  @article{sun2019ecra,
    title={Research Commentary on Recommendations with Side Information: A Survey and Research Directions},
    author={Sun, Zhu and Guo, Qing and Yang, Jie and Fang, Hui and Guo, Guibing and Zhang, Jie and Burke, Robin},
    journal={Electronic Commerce Research and Applications},
    volume={37},
    pages={100879},
    year={2019},
    publisher={Elsevier}
  }
  

• [bib] Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, and Philippe Cudré-Mauroux. Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. In The Web Conference (WWW).
  

  @inproceedings{yang2019www_scalpel,
    title={Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data},
    author={Yang, Jie and Smirnova, Alisa and Yang, Dingqi and Demartini, Gianluca and Lu, Yuan and Cudr{\'e}-Mauroux, Philippe},
    booktitle={The World Wide Web Conference},
    pages={2158--2168},
    year={2019},
    organization={ACM}
  }
  

• [bib] Natalia Ostapuk, Jie Yang, and Philippe Cudré-Mauroux. ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs. In The Web Conference (WWW).
  

  @inproceedings{ostapuk2019www,
    title={ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs},
    author={Ostapuk, Natalia and Yang, Jie and Cudr{\'e}-Mauroux, Philippe},
    booktitle={The World Wide Web Conference},
    pages={1398--1408},
    year={2019},
    organization={ACM}
  }
  

• [bib] Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudré-Mauroux. Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. In The Web Conference (WWW).
  

  @inproceedings{yang2019www_revisiting,
    title={Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach},
    author={Yang, Dingqi and Qu, Bingqing and Yang, Jie and Cudr{\'e}-Mauroux, Philippe},
    booktitle={The World Wide Web Conference},
    pages={2147--2157},
    year={2019},
    organization={ACM}
  }
  

• [bib] Guanliang Chen, Jie Yang, and Dragan Gasevic. A Comparative Study on Question-worthy Sentence Selection Strategies for Educational Question Generation. In International Conference on Artificial Intelligence in Education (AIED).
  

  @inproceedings{chen2019comparative,
    title={A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation},
    author={Chen, Guanliang and Yang, Jie and Gasevic, Dragan},
    booktitle={International Conference on Artificial Intelligence in Education},
    pages={59--70},
    year={2019},
    organization={Springer}
  }
  

2018

• [bib] Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, and Chi Xu. Recurrent Knowledge Graph Embedding for Effective Recommendation. In ACM Conference on Recommender Systems (RecSys).
  

  @inproceedings{sun2018recsys,
    title={Recurrent Knowledge Graph Embedding for Effective Recommendation},
    author={Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro and Huang, Long-Kai and Xu, Chi},
    booktitle={Proceedings of the 12nd ACM Conference on Recommender Systems},
    pages={297--305},
    year={2018},
    organization={ACM}
  }
  

• [bib] Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, and Alessandro Bozzon. How do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  @inproceedings{yang2018hcomp,
    title={How do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk},
    author={Yang, Jie and van der Valk, Carlo and Ho{\ss}feld, Tobias and Redi, Judith and Bozzon, Alessandro},
    booktitle={Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing},
    pages={192--202},
    year={2018},
    organization={AAAI}
  }
  

• [bib] Guanliang Chen, Jie Yang, Claudia Hauff, and Geert-Jan Houben. LearningQ: A Large-scale Dataset for Educational Question Generation. In AAAI Conference on Web and Social Media (ICWSM).
  

  @inproceedings{chen2018icwsm,
    title={LearningQ: A Large-scale Dataset for Educational Question Generation},
    author={Chen, Guanliang and Yang, Jie and Hauff, Claudia and Houben, Geert-Jan},
    booktitle={Proceedings of the Twelfth International AAAI Conference on Web and Social Media},
    pages={481--490},
    year={2018},
    organization={AAAI}
  }
  

• [bib] Jie Yang, Thomas Drake, Andreas Damianou, and Yoelle Maarek. Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa. In The Web Conference (WWW).
  

  @inproceedings{yang2018www,
    title={Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa},
    author={Yang, Jie and Drake, Thomas and Damianou, Andreas and Maarek, Yoelle},
    booktitle={The World Wide Web Conference},
    pages={23--32},
    year={2018},
    organization={ACM}
  }
  

• [bib] Gregory Afentoulidi, Zoltán Szlávik, Jie Yang, and Alessandro Bozzon. Social Gamification in Enterprise Crowdsourcing. In ACM Conference on Web Science (WebSci).
  

  @inproceedings{afentoulidi2018websci,
    title={Social Gamification in Enterprise Crowdsourcing},
    author={Afentoulidis, Gregory and Szl{\'a}vik, Zolt{\'a}n and Yang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the 10th ACM Conference on Web Science},
    pages={135--144},
    year={2018},
    organization={ACM}
  }
  

• [bib] Achilleas Psyllidis, Jie Yang, and Alessandro Bozzon. Regionalization of Social Interactions and Points-of Interest Location Prediction with Geosocial Data. In IEEE Access.
  

  @article{psyllidis2018access,
    title={Regionalization of Social Interactions and Points-of Interest Location Prediction with Geosocial Data},
    author={Psyllidis, Achilleas and Yang, Jie and Bozzon, Alessandro},
    journal={IEEE Access},
    volume={6},
    pages={34334--34353},
    year={2018},
    publisher={IEEE}
  }
  

• [bib] Vincent Xun Gong, Jie Yang, Winnie Daamen, Alessandro Bozzon, Serge Hoogendoorn, and Geert-Jan Houben. Using Social Media for Attendees Density Estimation in City-Scale Events. In IEEE Access.
  

  @article{gong2018access,
    title={Using Social Media for Attendees Density Estimation in City-Scale Events},
    author={Gong, Vincent X and Yang, Jie and Daamen, Winnie and Bozzon, Alessandro and Hoogendoorn, Serge and Houben, Geert-Jan},
    journal={IEEE Access},
    volume={6},
    pages={36325--36340},
    year={2018},
    publisher={IEEE}
  }
  

2017

• [bib] Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, and David Tax. Interacting Attention-Gated Recurrent Networks for Recommendation. In ACM International Conference on Information and Knowledge Management (CIKM).
  

  @inproceedings{pei2017cikm,
    title={Interacting Attention-Gated Recurrent Networks for Recommendation},
    author={Pei, Wenjie and Yang, Jie and Sun, Zhu and Zhang, Jie and Bozzon, Alessandro and Tax, David MJ},
    booktitle={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
    pages={1459--1468},
    year={2017},
    organization={ACM}
  }
  

• [bib] Zhu Sun, Jie Yang, Jie Zhang, and Alessandro Bozzon. Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. In AAAI Conference on Artificial Intelligence (AAAI).
  

  @inproceedings{sun2017aaai,
    title={Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation},
    author={Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence},
    pages={189--195},
    year={2017},
    organization={AAAI}
  }
  

• [bib] Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, and Chi Xu. MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. In International Joint Conference on Artificial Intelligence (IJCAI).
  

  @inproceedings{sun2017ijcai,
    title={MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation},
    author={Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro and Chen, Yu and Xu, Chi},
    booktitle={Proceedings of the 26th International Joint Conference on Artificial Intelligence},
    pages={2807--2813},
    year={2017}
  }
  

• [bib] Ujwal Gadiraju, Jie Yang, and Alessandro Bozzon. Clarity is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing. In ACM Conference on Hypertext and Social Media (HT).
  

  Douglas Engelbart Best Paper Award

  @inproceedings{gadiraju2017ht,
    title={Clarity is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing},
    author={Gadiraju, Ujwal and Yang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the 28th ACM Conference on Hypertext and Social Media},
    pages={5--14},
    year={2017},
    organization={ACM}
  }
  

• [bib] Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, and Martha Larson. CitRec 2017: International Workshop on Recommender Systems for Citizens. In ACM Conference on Recommender Systems (RecSys).
  

  @inproceedings{yang2017recsys,
    title={CitRec 2017: International Workshop on Recommender Systems for Citizens},
    author={Yang, Jie and Sun, Zhu and Bozzon, Alessandro and Zhang, Jie and Larson, Martha},
    booktitle={Proceedings of the Eleventh ACM Conference on Recommender Systems},
    pages={388--389},
    year={2017},
    organization={ACM}
  }
  

• [bib] Diana Nurbakova, Jie Yang, Iván Cantador, María Cortés-Cediel, and Alessandro Bozzon. Recommender Systems for Citizens: the CitRec'17 Workshop Manifesto. In International Workshop on Recommender Systems for Citizens (CitRec).
  

  @inproceedings{yang2017citrec,
    title={Recommender Systems for Citizens: the CitRec'17 Workshop Manifesto},
    author={Yang, Jie and Cantador, Iv{\'a}n and Nurbakova, Diana and Cort{\'e}s-Cediel, Mar{\'\i}a E and Bozzon, Alessandro},
    booktitle={Proceedings of the International Workshop on Recommender Systems for Citizens},
    year={2017},
    organization={ACM}
  }
  

2016

• [bib] Jie Yang, Judith Redi, Gianluca Demartini, and Alessandro Bozzon. Modeling Crowdsourcing Task Complexity. In AAAI Conference on Human Computation and Crowdsourcing (HCOMP).
  

  @inproceedings{yang2016hcomp,
    title={Modeling Crowdsourcing Task Complexity},
    author={Yang, Jie and Redi, Judith and Demartini, Gianluca and Bozzon, Alessandro},
    booktitle={Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing},
    pages={249--258},
    year={2016},
    organization={AAAI}
  }
  

• [bib] Jie Yang, Zhu Sun, Alessandro Bozzon, and Jie Zhang. Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. In ACM Conference on Recommender Systems (RecSys).
  

  @inproceedings{sun2016recsys,
    title={Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization},
    author={Yang, Jie and Sun, Zhu and Bozzon, Alessandro and Zhang, Jie},
    booktitle={Proceedings of the 10th ACM Conference on Recommender Systems},
    pages={51--58},
    year={2016},
    organization={ACM}
  }
  

• [bib] Deniz Iren, Cynthia Liem, Jie Yang, Alessandro Bozzon. Using Social Media to Reveal Social and Collective Perspectives on Music. In ACM Conference on Web Science (WebSci).
  

  @inproceedings{iren2016websci,
    title={Using Social Media to Reveal Social and Collective Perspectives on Music},
    author={Iren, Deniz and Liem, Cynthia and Yang, Jie and Bozzon, Alessandro},
    booktitle={Proceedings of the 8th ACM Conference on Web Science},
    pages={296--300},
    year={2016},
    organization={ACM}
  }
  

• [bib] Jie Yang, Claudia Hauff, Geert-Jan Houben, and Christiaan Titos Bolivar. Diversity in Social Media Urban Analytics. In International Conference on Web Engineering (ICWE).
  

  @inproceedings{yang2016icwe,
    title={Diversity in Social Media Urban Analytics},
    author={Yang, Jie and Hauff, Claudia and Houben, Geert-Jan and Bolivar, Christiaan Titos},
    booktitle={Proceedings of the 16th International Conference on Web Engineering},
    pages={335--353},
    year={2016},
    organization={Springer}
  }
  

• [bib] Arkka Dhiratara, Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. Social Media Data Analytics for Tourism -- A Preliminary Study. In International Workshop on Knowledge Discovery on the Web (KDWeb).
  

  @inproceedings{dhiratara2016kdweb,
    title={Social Media Data Analytics for Tourism -- A Preliminary Study},
    author={Dhiratara, Arkka and Yang, Jie and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={Proceedings of the 2nd International Workshop on Knowledge Discovery on the Web},
    year={2016}
  }
  

• [bib] Jie Yang and Alessandro Bozzon. On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing. In ACM Web Science Workshop on Weaving Relations of Trust in Crowd Work (TRUSTINCW@WebSci).
  

  Best Paper Award

  @article{yang2016trustincw,
    title={On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing},
    author={Yang, Jie and Bozzon, Alessandro},
    booktitle={ACM Web Science Workshop on Weaving Relations of Trust in Crowd Work},
    year={2016}
  }
  

2015

• [bib] Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems. In User Modeling, Adaption and Personalization (UMAP).
  

  @inproceedings{yang2015umap,
    title={Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q\&A Systems},
    author={Yang, Jie and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={International Conference on User Modeling, Adaptation, and Personalization},
    pages={315--327},
    year={2015},
    organization={Springer}
  }
  

• [bib] Jasper Oosterman, Jie Yang, Alessandro Bozzon, Lora Aroyo, and Geert-Jan Houben. Crowdsourcing Visual Artwork Annotations in Cultural Heritage. In Computer Networks.
  

  @article{oosterman2015comnet,
    title={Crowdsourcing Visual Artwork Annotations in Cultural Heritage},
    author={Oosterman, Jasper and Yang, Jie and Bozzon, Alessandro and Aroyo, Lora and Houben, Geert-Jan},
    journal={Computer Networks},
    volume={90},
    pages={133--149},
    year={2015},
    publisher={Elsevier}
  }
  

• [bib] Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. Knowledge Crowdsourcing Acceleration. In International Conference on Engineering (ICWE).
  

  @inproceedings{yang2015icwe_ewise,
    title={E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems},
    author={Yang, Jie and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={International Conference on Web Engineering},
    pages={639--643},
    year={2015},
    organization={Springer}
  }
  

• [bib] Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems. In International Conference on Engineering (ICWE).
  

  @inproceedings{yang2015icwe_ewise,
    title={E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems},
    author={Yang, Jie and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={Proceedings of the 15th International Conference on Engineering},
    pages={691--694},
    year={2015},
    organization={Springer}
  }
  

• [bib] Arkka Dhiratara, Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter. In International Workshop on Knowledge Discovery on the Web (KDWeb).
  

  @inproceedings{silvestri2015kdweb,
    title={Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter},
    author={Silvestri, Giuseppe and Yang, Jie and Bozzon, Alessandro and Tagarelli, Andrea},
    booktitle={Proceedings of the 1st International Workshop on Knowledge Discovery on the Web},
    pages={41--52},
    year={2015}
  }
  

2014

• [bib] Jie Yang, Claudia Hauff, Alessandro Bozzon, and Geert-Jan Houben. Asking the Right Question in Collaborative Q&A Systems. In ACM Conference on Hypertext and Social Media (HT).
  

  @inproceedings{yang2014ht,
    title={Asking the Right Question in Collaborative Q\&A Systems},
    author={Yang, Jie and Hauff, Claudia and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={Proceedings of the 25st ACM Conference on Hypertext and Social Media},
    pages={179--189},
    year={2014},
    organization={ACM}
  }
  

• [bib] Jie Yang, Ke Tao, Alessandro Bozzon, and Geert-Jan Houben. Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow. In User Modeling, Adaption and Personalization (UMAP).
  

  @inproceedings{yang2014umap,
    title={Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow},
    author={Yang, Jie and Tao, Ke and Bozzon, Alessandro and Houben, Geert-Jan},
    booktitle={International Conference on User Modeling, Adaptation, and Personalization},
    pages={266--277},
    year={2014},
    organization={Springer}
  }
  

• [bib] Xi Long, Jie Yang, Tim Weysen, Reinder Haakma, Jerome Foussier, Pedro Fonseca, and Ronald M. Aarts. Measuring Dissimilarity Between Respiratory Effort Signals based on Uniform Scaling for Sleep Staging. In Physiological Measurement.
  

  @article{long2014physiological,
    title={Measuring Dissimilarity Between Respiratory Effort Signals based on Uniform Scaling for Sleep Staging},
    author={Long, Xi and Yang, Jie and Weysen, Tim and Haakma, Reinder and Foussier, J{\'e}r{\^o}me and Fonseca, Pedro and Aarts, Ronald M},
    journal={Physiological measurement},
    volume={35},
    number={12},
    pages={2529},
    year={2014},
    publisher={IOP Publishing}
  }
  

2013

• [bib] Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Moerchen, and Dmitriy Fradkin. Zips: Mining Compressing Sequential Patterns in Streams. In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA@KDD).
  

  @inproceedings{lam2013idea,
    title={Zips: Mining compressing sequential patterns in streams},
    author={Lam, Hoang Thanh and Calders, Toon and Yang, Jie and M{\"o}rchen, Fabian and Fradkin, Dmitriy},
    booktitle={Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics},
    pages={54--62},
    year={2013},
    organization={ACM}
  }