Yang, D., Qu, B., Yang, J. and Cudré-Mauroux, Ph. (2022). LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE). [https://ieeexplore.ieee.org/document/9099985]
Balayn, A., Yang, J., Szlavik, Z. and Bozzon, A. (2021). Automatic Identification of Harmful, Aggressive, Abusiveand Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. ACM Transactions on Social Computing (TSC). [https://dl.acm.org/doi/10.1145/3479158]
Qiu, S., Bozzon, A., Birk, M.V. and Gadiraju, U. (2021). Using Worker Avatars to Improve Microtask Crowdsourcing. Proceedings of ACM on Human-Computer Interaction (CSCW). [https://dl.acm.org/doi/10.1145/3476063]
Sayin, B., Krivosheev, E., Yang, J., Passerini, A. and Casati, F. (2021). A review and experimental analysis of active learning over crowdsourced data. Artificial Intelligence Review. [https://dl.acm.org/doi/10.1007/s10462-021-10021-3]
Fan, S., Gadiraju, U., Checco, A. and Demartini, G. (2020). CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing. Proceedings of ACM on Human-Computer Interaction (CSCW). [https://dl.acm.org/doi/10.1145/3415203]
Qiu, S., Gadiraju, U. and Bozzon, A. (2020). Estimating Conversational Styles in Conversational Microtask Crowdsourcing. Proceedings of ACM on Human-Computer Interaction (CSCW). [https://dl.acm.org/doi/abs/10.1145/3392837]
Abbas, T., Khan, V.-J., Gadiraju, U., Barakova, E.I., Markopoulos, P. (2020). Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management. MDPI Journal (Sensors). [https://www.mdpi.com/1424-8220/20/2/569]
Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M.-E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., Kompatsiaris, I., Kinder-Kurlanda, K., Wagner, C., Karimi, F., Fernández, M., Harith Alani, H., Bettina Berendt, B., Kruegel, T., Heinze, C., Broelemann, K., Kasneci, G., Tiropanis, T., Staab, S. (2020). Bias in Data-driven AI Systems - An Introductory Survey. In WIREs Data Mining and Knowledge Discovery (WIDM ). [https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.1356]
Conferences
MARTA: Leveraging Human Rationales for Explainable Text Classification. Arous, Ines, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, and Philippe Cudré-Mauroux. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021).
Making Time Fly: Using Fillers to Improve Perceived Latency in Crowd-Powered Conversational Systems. Tahir Abbas, Ujwal Gadiraju, Vassilis-Javed Khan and Panos Markopoulos. In Proceedings of the 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021).
A Checklist to Combat Cognitive Biases in Crowdsourcing. Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju and Nava Tintarev. In Proceedings of the 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021).
Exploring the Music Perception Skills of Crowd Workers. Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju and Alessandro Bozzon. In Proceedings of the 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021).
The Science of Rejection: A Research Area for Human Computation. Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati. In Proceedings of the 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021).
On the Value of ML Models. Fabio Casati, Pierre-André Noël, Jie Yang. In Proceedings of the Workshop on Human and Machine Decisions at Neurips 2021.
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. Balayn, Agathe, Panagiotis Soilis, Christoph Lofi, Jie Yang, and Alessandro Bozzon. In Proceedings of the Web Conference (WWW 2021).
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux. In Proceedings of the Web Conference (WWW 2021).
What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. Zahra Nouri, Ujwal Gadiraju, Gregor Engels, Henning Wachsmuth. In Proceedings of the ACM Conference on Hypertext and Social Media (HT 2021).
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev. In Proceedings of the ACM Conference on Hypertext and Social Media (HT 2021).
Towards Benchmarking the Utility of Explanations for Model Debugging. Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand. In Proceedings of TrustNLP: First Workshop on Trustworthy Natural Language Processing Co-located with the Annual Conference of the North American Chapter of the Association for Computational Linguistics.
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon and Benjamin Timmermans. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021).
Improving Reactions to Rejection in Crowdsourcing Through Self-Reflection Tom Edixhoven, Sihang Qiu, Lucie Kuiper, Olivier Dikken, Gwennan Smitskamp and Ujwal Gadiraju. In Proceedings of the 13th ACM Web Science Conference (WebSci 2021).
How Do User Opinions Influence Their Interaction With Web Search Results? Luyan Xu, Mengdie Zhuang, and Ujwal Gadiraju. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2021).
Second Chance for a First Impression? Trust Development in Intelligent System Interaction. Suzanne Tolmeijer, Ujwal Gadiraju, Ramya Ghantasala, Akshit Gupta, and Abraham Bernstein. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2021).
Note the Highlight - Incorporating Active Reading Tools in a Search as Learning Environment. Nirmal Roy, Manuel Valle Torre, Ujwal Gadiraju, David Maxwell, and Claudia Hauff. In Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2021).
Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning. Hao Liu, Hanting Ye, Jie Yang, Qing Wang. Proceedings of the 3rd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2021).
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. Akansha Bhardwaj, Jie Yang, and Philippe Cudré-Mauroux. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020).
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. In Proceedings of the Web Conference (WWW 2020).
Web-to-Voice Transfer for Product Recommendation on Voice. Rongting Zhang and Jie Yang. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020).
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, and Cong Geng. In Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2020).
The Role of Attributes in Product Quality Comparisons. Felipe Moraes, Jie Yang, Rongting Zhang, and Vanessa Murdock. In Proceedings of the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020).
Structured Probabilistic End-to-End Learning from Crowds. Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Hudong Liu, and Jie Yang. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020).
What Can Crowd Computing Do for the Next Generation of AI Systems? Ujwal Gadiraju and Jie Yang. In Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation at NeurIPS 2020.
Conversational Crowdsourcing. Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon, and Geert-Jan Houben. In Proceedings of the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation at NeurIPS 2020.
Conversational Interfaces for Search As Learning. Sihang Qiu, Alessandro Bozzon, Ujwal Gadiraju. In Proceedings of the 1st International Workshop on Investigating Learning During Web Search (IWILDS 2020) at CIKM 2020.
TickTalkTurk: Conversational Crowdsourcing Made Easy. Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon. In Proceedings of the ACM on Human-Computer Interaction (CSCW 2020).
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans. In Proceedings of the 1st Workshop on Bias and Fairness in AI at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020).
Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining. Alexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020).
Trainbot: A Conversational Interface to Train Crowd Workers for Delivering On-Demand Therapy. Tahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Panos Markopoulos. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020).
Remote Work Aided By Conversational Agents. Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon. In Proceedings of the Microsoft Symposium on the New Future of Work (NFW 2020).
TaskGenie: Crowd-powered Generation of Struggling Search Tasks. Luyan Xu, Xuan Zhou, Ujwal Gadiraju. In Proceedings of the 21st International Conference on Web Information Systems Engineering (WISE 2020).
Towards Memorable Information Retrieval. Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2020).
How Does Team Composition Affect Knowledge Gain of Users in Collaborative Web Search?. Luyan Xu, Xuan Zhou, Ujwal Gadiraju. In Proceedings of the ACM Conference on Hypertext and Social Media (HT 2020).
Just the Right Mood for HIT! Analyzing the Role of Worker Moods in Conversational Microtask Crowdsourcing. Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon. Proceedings of the International Conference on Web Engineering (ICWE 2020).
Improving Worker Engagement Through Conversational Microtask Crowdsourcing. Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI 2020).
How do People Perceive Privacy and Interaction Quality while Chatting with a Crowd-operated Robot?. Tahir Abbas, Giovanni Corpaccioli, Vassilis-Javed Khan, Ujwal Gadiraju, Emilia Barakova, Panos Markopoulos. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020).
Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations. Tahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Emilia Barakova, Panos Markopoulos. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020).
Crowd Worker Strategies in Relevance Judgment Tasks. Lei Han, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, Gianluca Demartini. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2020).
Assessing cognitive performance using physiological and facial features: Generalizing across contexts. Sharma, Kshitij, Evangelos Niforatos, Michail Giannakos, and Vassilis Kostakos. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, no. 3 (2020): 1-41.
Idahl, M., Lyu, L., Gadiraju, U. and Anand, A. (2021). Towards Benchmarking the Utility of Explanations for Model Debugging. TrustNLP: First Workshop on Trustworthy Natural Language Processing Co-located with the Annual Conference of the North American Chapter of the Association for Computational Linguistics. [https://arxiv.org/abs/2105.04505v1]
Qiu, S., Bozzon, A. and Gadiraju, U. (2020). Conversational Interfaces for Search As Learning. 1st International Workshop on Investigating Learning During Web Search (IWILDS 2020) at CIKM. [https://ceur-ws.org/Vol-2699/paper23.pdf]
Gadiraju, U. and Yang, J. (2020). What Can Crowd Computing Do for the Next Generation of AI Systems?. Crowd Science Workshop: Remoteness, Fairnessand Mechanisms as Challenges of Data Supply by Humans for Automation at NeurIPS. [https://ceur-ws.org/Vol-2736/]
