Zips: mining compressing sequential patterns in streams. - Hoang Thanh Lam; Toon Calders; Jie Yang 028; Fabian Mörchen; Dmitriy Fradkin (IDEA@KDD, 2013)

Asking the right question in collaborative q&a systems. - Jie Yang 028; Claudia Hauff; Alessandro Bozzon; Geert-Jan Houben (HT, 2014)

Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow. - Jie Yang 028; Ke Tao; Alessandro Bozzon; Geert-Jan Houben (UMAP, 2014)

Knowledge Crowdsourcing Acceleration. - Jie Yang 028; Alessandro Bozzon; Geert-Jan Houben (ICWE, 2015)

E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems. - Jie Yang 028; Alessandro Bozzon; Geert-Jan Houben (ICWE, 2015)

Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter. - Giuseppe Silvestri; Jie Yang 028; Alessandro Bozzon; Andrea Tagarelli (KDWeb, 2015)

Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems. - Jie Yang 028; Alessandro Bozzon; Geert-Jan Houben (UMAP, 2015)

On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks. - Jasper Oosterman; Jie Yang 028; Alessandro Bozzon; Lora Aroyo; Geert-Jan Houben (Comput. Networks, 2015)

Modeling Task Complexity in Crowdsourcing. - Jie Yang 028; Judith Redi; Gianluca Demartini; Alessandro Bozzon (HCOMP, 2016)

Diversity in Urban Social Media Analytics. - Jie Yang 028; Claudia Hauff; Geert-Jan Houben; Christiaan Titos Bolivar (ICWE, 2016)

Social Media Data Analytics for Tourism - A Preliminary Study. - Arkka Dhiratara; Jie Yang 028; Alessandro Bozzon; Geert-Jan Houben (KDWeb, 2016)

Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. - Jie Yang 028; Zhu Sun 001; Alessandro Bozzon; Jie Zhang 002 (RecSys, 2016)

Using social media to reveal social and collective perspectives on music. - Deniz Iren; Cynthia C. S. Liem; Jie Yang 028; Alessandro Bozzon (WebSci, 2016)

Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon (AAAI, 2017)

Interacting Attention-gated Recurrent Networks for Recommendation. - Wenjie Pei; Jie Yang 028; Zhu Sun 001; Jie Zhang 002; Alessandro Bozzon; David M. J. Tax (CIKM, 2017)

Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing. - Ujwal Gadiraju; Jie Yang 028; Alessandro Bozzon (HT, 2017)

MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Yu Chen; Chi Xu (IJCAI, 2017)

Recommender systems for citizens: the CitRec'17 workshop manifesto. - Jie Yang 028; Iván Cantador; Diana Nurbakova; María E. Cortés-Cediel; Alessandro Bozzon (CitRec@RecSys, 2017)

CitRec 2017: International Workshop on Recommender Systems for Citizens. - Jie Yang 028; Zhu Sun 001; Alessandro Bozzon; Jie Zhang 002; Martha A. Larson (RecSys, 2017)

On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper). - Jie Yang 028; Alessandro Bozzon (CoRR, 2017)

Crowd Knowledge Creation Acceleration. - Jie Yang 028 (2017)

How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk. - Jie Yang 028; Carlo van der Valk; Tobias Hoßfeld; Judith Redi; Alessandro Bozzon (HCOMP, 2018)

LearningQ: A Large-Scale Dataset for Educational Question Generation. - Guanliang Chen; Jie Yang 028; Claudia Hauff; Geert-Jan Houben (ICWSM, 2018)

Recurrent knowledge graph embedding for effective recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Long-Kai Huang; Chi Xu (RecSys, 2018)

Social Gamification in Enterprise Crowdsourcing. - Gregory Afentoulidis; Zoltán Szlávik; Jie Yang 028; Alessandro Bozzon (WebSci, 2018)

Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa. - Jie Yang 028; Thomas Drake; Andreas C. Damianou; Yoelle Maarek (WWW, 2018)

Using Social Media for Attendees Density Estimation in City-Scale Events. - Vincent X. Gong; Jie Yang 028; Winnie Daamen; Alessandro Bozzon; Serge P. Hoogendoorn; Geert-Jan Houben (IEEE Access, 2018)

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data. - Achilleas Psyllidis; Jie Yang 028; Alessandro Bozzon (IEEE Access, 2018)

A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. - Guanliang Chen; Jie Yang 028; Dragan Gasevic (AIED (1), 2019)

Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content. - Sepideh Mesbah; Jie Yang 028; Robert-Jan Sips; Manuel Valle Torre; Christoph Lofi; Alessandro Bozzon; Geert-Jan Houben (EMNLP/IJCNLP (1), 2019)

ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs. - Natalia Ostapuk; Jie Yang 028; Philippe Cudré-Mauroux (WWW, 2019)

Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. - Dingqi Yang; Bingqing Qu; Jie Yang 028; Philippe Cudré-Mauroux (WWW, 2019)

Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. - Jie Yang 028; Alisa Smirnova; Dingqi Yang; Gianluca Demartini; Yuan Lu; Philippe Cudré-Mauroux (WWW, 2019)

Research commentary on recommendations with side information: A survey and research directions. - Zhu Sun 001; Qing Guo 005; Jie Yang 028; Hui Fang 002; Guibing Guo; Jie Zhang 002; Robin Burke (Electron. Commer. Res. Appl., 2019)

A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. - Akansha Bhardwaj; Jie Yang 028; Philippe Cudré-Mauroux (AAAI, 2020)

The Role of Attributes in Product Quality Comparisons. - Felipe Moraes; Jie Yang 028; Rongting Zhang; Vanessa Murdock 001 (CHIIR, 2020)

Structured Probabilistic End-to-End Learning from Crowds. - Zhijun Chen; Huimin Wang; Hailong Sun 001; Pengpeng Chen; Tao Han 003; Xudong Liu 001; Jie Yang 028 (IJCAI, 2020)

What Can Crowd Computing Do for the Next Generation of AI Systems? - Ujwal Gadiraju; Jie Yang 028 (CSW@NeurIPS, 2020)

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. - Zhu Sun 001; Di Yu 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Jie Zhang 002; Cong Geng (RecSys, 2020)

Web-to-Voice Transfer for Product Recommendation on Voice. - Rongting Zhang; Jie Yang 028 (SIGIR, 2020)

OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. - Ines Arous; Jie Yang 028; Mourad Khayati; Philippe Cudré-Mauroux (WWW, 2020)

MARTA: Leveraging Human Rationales for Explainable Text Classification. - Ines Arous; Ljiljana Dolamic; Jie Yang 028; Akansha Bhardwaj; Giuseppe Cuccu; Philippe Cudré-Mauroux (AAAI, 2021)

Exploring the Music Perception Skills of Crowd Workers. - Ioannis Petros Samiotis; Sihang Qiu; Christoph Lofi; Jie Yang 028; Ujwal Gadiraju; Alessandro Bozzon (HCOMP, 2021)

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. - Shabnam Najafian; Tim Draws; Francesco Barile; Marko Tkalcic; Jie Yang 028; Nava Tintarev (HT, 2021)

Crowd-Powered Hybrid Classification Services: Calibration is all you need. - Burcu Sayin; Evgeny Krivosheev; Jorge Ramírez; Fabio Casati; Ekaterina A. Taran; Veronika A. Malanina; Jie Yang 028 (ICWS, 2021)

Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning. - Hao Liu; Hanting Ye; Jie Yang 028; Qing Wang 007 (SenSys, 2021)

Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. - Ines Arous; Jie Yang 028; Mourad Khayati; Philippe Cudré-Mauroux (WWW, 2021)

What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. - Agathe Balayn; Panagiotis Soilis; Christoph Lofi; Jie Yang 028; Alessandro Bozzon (WWW, 2021)

A review and experimental analysis of active learning over crowdsourced data. - Burcu Sayin; Evgeny Krivosheev; Jie Yang 028; Andrea Passerini; Fabio Casati (Artif. Intell. Rev., 2021)

N15News: A New Dataset for Multimodal News Classification. - Zhen Wang 020; Xu Shan; Jie Yang 028 (CoRR, 2021)

Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. - Hossein A. Rahmani; Jie Yang 028 (CoRR, 2021)

The Science of Rejection: A Research Area for Human Computation. - Burcu Sayin; Jie Yang 028; Andrea Passerini; Fabio Casati (CoRR, 2021)

Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. - Garrett Allen; Jie Yang 028; Maria Soledad Pera; Ujwal Gadiraju (CoRR, 2021)

On the Value of ML Models. - Fabio Casati; Pierre-André Noël; Jie Yang 028 (CoRR, 2021)

Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. - Agathe Balayn; Jie Yang 028; Zoltán Szlávik; Alessandro Bozzon (ACM Trans. Soc. Comput., 2021)

How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? - Agathe Balayn; Natasa Rikalo; Christoph Lofi; Jie Yang 028; Alessandro Bozzon (CHI, 2022)

Workshop on Human-in-the-loop Data Curation. - Gianluca Demartini; Jie Yang 028; Shazia Sadiq (CIKM, 2022)

MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. - Peide Zhu; Claudia Hauff; Jie Yang 028 (EDM, 2022)

Answer Quality Aware Aggregation for Extractive QA Crowdsourcing. - Peide Zhu; Zhen Wang 020; Claudia Hauff; Jie Yang 028; Avishek Anand (EMNLP (Findings), 2022)

CHIME: Causal Human-in-the-Loop Model Explanations. - Shreyan Biswas; Lorenzo Corti; Stefan Buijsman; Jie Yang 028 (HCOMP, 2022)

It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. - Gaole He; Agathe Balayn; Stefan Buijsman; Jie Yang 028; Ujwal Gadiraju (HCOMP, 2022)

N24News: A New Dataset for Multimodal News Classification. - Zhen Wang 020; Xu Shan; Xiangxie Zhang; Jie Yang 028 (LREC, 2022)

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. - Zhu Sun 001; Jie Yang 028; Kaidong Feng; Hui Fang 002; Xinghua Qu; Yew Soon Ong (SIGIR, 2022)

Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. - Agathe Balayn; Gaole He; Andrea Hu; Jie Yang 028; Ujwal Gadiraju (WWW, 2022)

What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. - Shahin Sharifi Noorian; Sihang Qiu; Ujwal Gadiraju; Jie Yang 028; Alessandro Bozzon (WWW, 2022)

Towards Fine-grained Causal Reasoning and QA. - Linyi Yang; Zhen Wang 020; Yuxiang Wu; Jie Yang 028; Yue Zhang 004 (CoRR, 2022)

Rethinking and Recomputing the Value of ML Models. - Burcu Sayin; Fabio Casati; Andrea Passerini; Jie Yang 028; Xinyue Chen (CoRR, 2022)

An Analysis of Music Perception Skills on Crowdsourcing Platforms. - Ioannis Petros Samiotis; Sihang Qiu; Christoph Lofi; Jie Yang 028; Ujwal Gadiraju; Alessandro Bozzon (Frontiers Artif. Intell., 2022)

LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. - Dingqi Yang; Bingqing Qu; Jie Yang 028; Philippe Cudré-Mauroux (IEEE Trans. Knowl. Data Eng., 2022)

Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. - Gianluca Demartini; Jie Yang 028; Shazia Sadiq (SIGIR Forum, 2022)

"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. - Agathe Balayn; Mireia Yurrita; Jie Yang 028; Ujwal Gadiraju (AIES, 2023)

How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. - Philippe Lammerts; Philip Lippmann; Yen-Chia Hsu; Fabio Casati; Jie Yang 028 (AIES, 2023)

Rationale Trees: Towards a Formalization of Human Knowledge for Explainable Natural Language Processing. - Andrea Tocchetti; Jie Yang 028; Marco Brambilla 001 (XAI.it@AI*IA, 2023)

Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. - Agathe Balayn; Natasa Rikalo; Jie Yang 028; Alessandro Bozzon (CHI, 2023)

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. - Zheng Chen 010; Ziyan Jiang; Fan Yang; Zhankui He; Yupeng Hou; Eunah Cho; Julian J. McAuley; Aram Galstyan; Xiaohua Hu 001; Jie Yang 028 (CIKM, 2023)

Value-Aware Active Learning. - Burcu Sayin; Jie Yang 028; Andrea Passerini; Fabio Casati (HHAI, 2023)

Value-Based Hybrid Intelligence. - Burcu Sayin; Jie Yang 028; Andrea Passerini; Fabio Casati (HHAI, 2023)

Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. - Shahin Sharifi Noorian; Sihang Qiu; Burcu Sayin; Agathe Balayn; Ujwal Gadiraju; Jie Yang 028; Alessandro Bozzon (IUI, 2023)

Fingertip Air-Writing with Ambient Light. - Hao Liu; Hanting Ye; Xiangxie Zhang; Jie Yang 028; Qing Wang 007 (MobiQuitous (2), 2023)

FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications. - Ran Zhu; Mingkun Yang; Jie Yang 028; Qing Wang 007 (SECON, 2023)

HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. - Sepideh Mesbah; Ines Arous; Jie Yang 028; Alessandro Bozzon (WWW, 2023)

ARTIST: ARTificial Intelligence for Simplified Text. - Lorenzo Corti; Jie Yang 028 (CoRR, 2023)

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Xinghua Qu; Hui Fang 002; Yew-Soon Ong; Wenyuan Liu (CoRR, 2023)

Editorial: Human-centered AI: Crowd computing. - Jie Yang 028; Alessandro Bozzon; Ujwal Gadiraju; Matthew Lease (Frontiers Artif. Intell., 2023)

Streaming Graph Embeddings via Incremental Neighborhood Sketching. - Dingqi Yang; Bingqing Qu; Jie Yang 028; Liang Wang 017; Philippe Cudré-Mauroux (IEEE Trans. Knowl. Data Eng., 2023)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. - Zhu Sun 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Hongyang Liu; Di Yu 001; Yew-Soon Ong; Jie Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Human-in-the-Loop Rule Discovery for Micropost Event Detection. - Akansha Bhardwaj; Jie Yang 028; Philippe Cudré-Mauroux (IEEE Trans. Knowl. Data Eng., 2023)

Nessy: A Neuro-Symbolic System for Label Noise Reduction. - Alisa Smirnova; Jie Yang 028; Dingqi Yang; Philippe Cudré-Mauroux (IEEE Trans. Knowl. Data Eng., 2023)

Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF. - Anne Arzberger; Stefan Buijsman; Maria Luce Lupetti; Alessandro Bozzon; Jie Yang 028 (AIES (1), 2024)

"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. - Lorenzo Corti; Rembrandt Oltmans; Jiwon Jung; Agathe Balayn; Marlies Wijsenbeek; Jie Yang 028 (CHI, 2024)

XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction. - Alisa Smirnova; Jie Yang 028; Philippe Cudré-Mauroux (CIKM, 2024)

ControversialQA: Exploring Controversy in Question Answering. - Zhen Wang 020; Peide Zhu; Jie Yang 028 (LREC/COLING, 2024)

FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning. - Mingkun Yang; Ran Zhu; Qing Wang 007; Jie Yang 028 (ICLR, 2024)

MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering. - Peide Zhu; Zhen Wang 020; Manabu Okumura; Jie Yang 028 (MMM (2), 2024)

Adaptive In-Context Learning with Large Language Models for Bundle Generation. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Xinghua Qu; Hui Fang 002; Yew-Soon Ong; Wenyuan Liu (SIGIR, 2024)

Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning. - Weijian Yu; Jie Yang 028; Dingqi Yang (WWW, 2024)

Centimeter-Level Indoor Visible Light Positioning. - Ran Zhu; Maxim Van den Abeele; Jona Beysens; Jie Yang 028; Qing Wang 007 (IEEE Commun. Mag., 2024)

Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. - Aleksander Buszydlik; Karol Dobiczek; Michal Teodor Okon; Konrad Skublicki; Philip Lippmann; Jie Yang 028 (CoRR, 2024)

Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. - Philip Lippmann; Matthijs T. J. Spaan; Jie Yang 028 (CoRR, 2024)

Positive Experience Reflection for Agents in Interactive Text Environments. - Philip Lippmann; Matthijs T. J. Spaan; Jie Yang 028 (CoRR, 2024)

Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? - Gaole He; Agathe Balayn; Stefan Buijsman; Jie Yang 028; Ujwal Gadiraju (J. Artif. Intell. Res., 2024)

Editorial: Special Issue on Human in the Loop Data Curation. - Gianluca Demartini; Shazia Sadiq; Jie Yang 028 (ACM J. Data Inf. Qual., 2024)

Revisiting Bundle Recommendation for Intent-aware Product Bundling. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Hui Fang 002; Xinghua Qu; Yew-Soon Ong; Wenyuan Liu (Trans. Recomm. Syst., 2024)

Context-Informed Machine Translation of Manga using Multimodal Large Language Models. - Philip Lippmann; Konrad Skublicki; Joshua B. Tanner; Shonosuke Ishiwatari; Jie Yang 028 (COLING, 2025)

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? - Kaidong Feng; Zhu Sun 001; Jie Yang 028; Hui Fang 002; Xinghua Qu; Wenyuan Liu (CoRR, 2025)

A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. - Andrea Tocchetti; Lorenzo Corti; Agathe Balayn; Mireia Yurrita; Philip Lippmann; Marco Brambilla 001; Jie Yang 028 (ACM Comput. Surv., 2025)

Rethinking and recomputing the value of machine learning models. - Burcu Sayin; Jie Yang 028; Xinyue Chen; Andrea Passerini; Fabio Casati (Artif. Intell. Rev., 2025)