Jie Yang - RankMe

124 papers A* 24A 13B 14C 2Misc 1Journal 47Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Label from Somewhere": Reflexive Annotating for Situated AI Alignment. CoRR Anne Arzberger, Céline Offerman, Ujwal Gadiraju, Alessandro Bozzon, Jie Yang
2026	J	`jnl`	Co-Constructing Alignment: A Participatory Approach to Situate AI Values. CoRR Anne Arzberger, Enrico Liscio, Maria Luce Lupetti, Inigo Martinez de Rituerto de Troya, Jie Yang
2026	—	`conf`	Co-Data: Cultivating Effective Human-LLM Collaboration for Collaborative Data Processing. CHI Extended Abstracts Amedeo Pachera, Andrea Mauri, Kashif Imteyaz, Jie Yang, Eric Umuhoza, Angela Bonifati, Michal Lahav, Nitesh Goyal
2026	A*	`conf`	SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data. AAAI Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
2026	B	`ed.`	Web Engineering - 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 - July 3, 2025, Proceedings ICWE Himanshu Verma, Alessandro Bozzon, Andrea Mauri, Jie Yang
2025	J	`jnl`	A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. ACM Comput. Surv. Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang
2025	B	`conf`	Context-Informed Machine Translation of Manga using Multimodal Large Language Models. COLING Philip Lippmann, Konrad Skublicki, Joshua B. Tanner, Shonosuke Ishiwatari, Jie Yang
2025	J	`jnl`	Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? CoRR Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu
2025	J	`jnl`	Rethinking and recomputing the value of machine learning models. Artif. Intell. Rev. Burcu Sayin, Jie Yang, Xinyue Chen, Andrea Passerini, Fabio Casati
2025	J	`jnl`	Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation. CoRR Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong
2025	J	`jnl`	SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data. CoRR Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
2024	A*	`conf`	"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. CHI Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, Jie Yang
2024	A*	`conf`	Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024	J	`jnl`	Centimeter-Level Indoor Visible Light Positioning. IEEE Commun. Mag. Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, Qing Wang
2024	J	`jnl`	Context-Informed Machine Translation of Manga using Multimodal Large Language Models. CoRR Philip Lippmann, Konrad Skublicki, Joshua B. Tanner, Shonosuke Ishiwatari, Jie Yang
2024	—	`conf`	ControversialQA: Exploring Controversy in Question Answering. LREC/COLING Zhen Wang, Peide Zhu, Jie Yang
2024	J	`jnl`	Editorial: Special Issue on Human in the Loop Data Curation. ACM J. Data Inf. Qual. Gianluca Demartini, Shazia Sadiq, Jie Yang
2024	J	`jnl`	Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. CoRR Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
2024	A*	`conf`	FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning. ICLR Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
2024	—	`conf`	MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering. MMM (2) Peide Zhu, Zhen Wang, Manabu Okumura, Jie Yang
2024	—	`conf`	Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF. AIES (1) Anne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon, Jie Yang
2024	J	`jnl`	Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? J. Artif. Intell. Res. Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
2024	J	`jnl`	Positive Experience Reflection for Agents in Interactive Text Environments. CoRR Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
2024	J	`jnl`	Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. CoRR Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang
2024	J	`jnl`	Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
2024	A*	`conf`	Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning. WWW Weijian Yu, Jie Yang, Dingqi Yang
2024	A	`conf`	XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction. CIKM Alisa Smirnova, Jie Yang, Philippe Cudré-Mauroux
2023	C	`conf`	"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. AIES Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju
2023	J	`jnl`	ARTIST: ARTificial Intelligence for Simplified Text. CoRR Lorenzo Corti, Jie Yang
2023	J	`jnl`	ControversialQA: Exploring Controversy in Question Answering. CoRR Zhen Wang, Peide Zhu, Jie Yang
2023	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2023	J	`jnl`	Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2023	J	`jnl`	Editorial: Human-centered AI: Crowd computing. Frontiers Artif. Intell. Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, Matthew Lease
2023	A*	`conf`	Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. CHI Agathe Balayn, Natasa Rikalo, Jie Yang, Alessandro Bozzon
2023	B	`conf`	FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications. SECON Ran Zhu, Mingkun Yang, Jie Yang, Qing Wang
2023	—	`conf`	Fingertip Air-Writing with Ambient Light. MobiQuitous (2) Hao Liu, Hanting Ye, Xiangxie Zhang, Jie Yang, Qing Wang
2023	C	`conf`	How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. AIES Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang
2023	J	`jnl`	How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. CoRR Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang
2023	J	`jnl`	Human-in-the-Loop Rule Discovery for Micropost Event Detection. IEEE Trans. Knowl. Data Eng. Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
2023	A*	`conf`	HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. WWW Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon
2023	J	`jnl`	Nessy: A Neuro-Symbolic System for Label Noise Reduction. IEEE Trans. Knowl. Data Eng. Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux
2023	A	`conf`	Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. IUI Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, Agathe Balayn, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
2023	—	`conf`	Rationale Trees: Towards a Formalization of Human Knowledge for Explainable Natural Language Processing. XAI.it@AI*IA Andrea Tocchetti, Jie Yang, Marco Brambilla
2023	J	`jnl`	Streaming Graph Embeddings via Incremental Neighborhood Sketching. IEEE Trans. Knowl. Data Eng. Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudré-Mauroux
2023	A	`conf`	The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
2023	—	`conf`	Value-Aware Active Learning. HHAI Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
2023	—	`conf`	Value-Based Hybrid Intelligence. HHAI Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
2022	J	`jnl`	A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. CoRR Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang
2022	J	`jnl`	An Analysis of Music Perception Skills on Crowdsourcing Platforms. Frontiers Artif. Intell. Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon
2022	—	`conf`	Answer Quality Aware Aggregation for Extractive QA Crowdsourcing. EMNLP (Findings) Peide Zhu, Zhen Wang, Claudia Hauff, Jie Yang, Avishek Anand
2022	B	`conf`	CHIME: Causal Human-in-the-Loop Model Explanations. HCOMP Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang
2022	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2022	A*	`conf`	How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? CHI Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon
2022	B	`conf`	It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. HCOMP Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
2022	J	`jnl`	LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. IEEE Trans. Knowl. Data Eng. Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux
2022	B	`conf`	MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. EDM Peide Zhu, Claudia Hauff, Jie Yang
2022	B	`conf`	N24News: A New Dataset for Multimodal News Classification. LREC Zhen Wang, Xu Shan, Xiangxie Zhang, Jie Yang
2022	A*	`conf`	Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. WWW Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju
2022	J	`jnl`	Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. SIGIR Forum Gianluca Demartini, Jie Yang, Shazia Sadiq
2022	J	`jnl`	Rethinking and Recomputing the Value of ML Models. CoRR Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen
2022	A*	`conf`	Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2022	J	`jnl`	Towards Fine-grained Causal Reasoning and QA. CoRR Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang
2022	A*	`conf`	What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. WWW Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
2022	A	`conf`	Workshop on Human-in-the-loop Data Curation. CIKM Gianluca Demartini, Jie Yang, Shazia Sadiq
2021	J	`jnl`	A review and experimental analysis of active learning over crowdsourced data. Artif. Intell. Rev. Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati
2021	J	`jnl`	Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. ACM Trans. Soc. Comput. Agathe Balayn, Jie Yang, Zoltán Szlávik, Alessandro Bozzon
2021	A	`conf`	Crowd-Powered Hybrid Classification Services: Calibration is all you need. ICWS Burcu Sayin, Evgeny Krivosheev, Jorge Ramírez, Fabio Casati, Ekaterina A. Taran, Veronika A. Malanina, Jie Yang
2021	J	`jnl`	Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. CoRR Hossein A. Rahmani, Jie Yang
2021	—	`conf`	Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev
2021	B	`conf`	Exploring the Music Perception Skills of Crowd Workers. HCOMP Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon
2021	A*	`conf`	MARTA: Leveraging Human Rationales for Explainable Text Classification. AAAI Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux
2021	J	`jnl`	N15News: A New Dataset for Multimodal News Classification. CoRR Zhen Wang, Xu Shan, Jie Yang
2021	J	`jnl`	On the Value of ML Models. CoRR Fabio Casati, Pierre-André Noël, Jie Yang
2021	A*	`conf`	Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. WWW Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux
2021	J	`jnl`	The Science of Rejection: A Research Area for Human Computation. CoRR Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
2021	Misc	`conf`	Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning. SenSys Hao Liu, Hanting Ye, Jie Yang, Qing Wang
2021	J	`jnl`	Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. CoRR Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju
2021	A*	`conf`	What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. WWW Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon
2020	A*	`conf`	A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. AAAI Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
2020	A	`conf`	Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2020	A*	`conf`	OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. WWW Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux
2020	A*	`conf`	Structured Probabilistic End-to-End Learning from Crowds. IJCAI Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang
2020	B	`conf`	The Role of Attributes in Product Quality Comparisons. CHIIR Felipe Moraes, Jie Yang, Rongting Zhang, Vanessa Murdock
2020	A*	`conf`	Web-to-Voice Transfer for Product Recommendation on Voice. SIGIR Rongting Zhang, Jie Yang
2020	—	`conf`	What Can Crowd Computing Do for the Next Generation of AI Systems? CSW@NeurIPS Ujwal Gadiraju, Jie Yang
2019	—	`conf`	A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. AIED (1) Guanliang Chen, Jie Yang, Dragan Gasevic
2019	J	`jnl`	A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. CoRR Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
2019	A*	`conf`	ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs. WWW Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux
2019	J	`jnl`	Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019	J	`jnl`	Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019	A*	`conf`	Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. WWW Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux
2019	A*	`conf`	Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. WWW Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux
2019	—	`conf`	Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content. EMNLP/IJCNLP (1) Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben
2018	B	`conf`	How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk. HCOMP Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, Alessandro Bozzon
2018	A	`conf`	LearningQ: A Large-Scale Dataset for Educational Question Generation. ICWSM Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben
2018	J	`jnl`	Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa. CoRR Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek
2018	A*	`conf`	Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa. WWW Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek
2018	A	`conf`	Recurrent knowledge graph embedding for effective recommendation. RecSys Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
2018	J	`jnl`	Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data. IEEE Access Achilleas Psyllidis, Jie Yang, Alessandro Bozzon
2018	—	`conf`	Social Gamification in Enterprise Crowdsourcing. WebSci Gregory Afentoulidis, Zoltán Szlávik, Jie Yang, Alessandro Bozzon
2018	J	`jnl`	Using Social Media for Attendees Density Estimation in City-Scale Events. IEEE Access Vincent X. Gong, Jie Yang, Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn, Geert-Jan Houben
2017	A	`conf`	CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2017	—	`conf`	Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing. HT Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
2017	—	`—`	Crowd Knowledge Creation Acceleration. Jie Yang
2017	A*	`conf`	Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon
2017	A	`conf`	Interacting Attention-gated Recurrent Networks for Recommendation. CIKM Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	J	`jnl`	Interacting Attention-gated Recurrent Networks for Recommendation. CoRR Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	A*	`conf`	MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu
2017	J	`jnl`	On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper). CoRR Jie Yang, Alessandro Bozzon
2017	—	`ed.`	Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy CitRec@RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2017	—	`conf`	Recommender systems for citizens: the CitRec'17 workshop manifesto. CitRec@RecSys Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, Alessandro Bozzon
2016	B	`conf`	Diversity in Urban Social Media Analytics. ICWE Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar
2016	A	`conf`	Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang
2016	B	`conf`	Modeling Task Complexity in Crowdsourcing. HCOMP Jie Yang, Judith Redi, Gianluca Demartini, Alessandro Bozzon
2016	—	`conf`	Social Media Data Analytics for Tourism - A Preliminary Study. KDWeb Arkka Dhiratara, Jie Yang, Alessandro Bozzon, Geert-Jan Houben
2016	—	`conf`	Using social media to reveal social and collective perspectives on music. WebSci Deniz Iren, Cynthia C. S. Liem, Jie Yang, Alessandro Bozzon
2015	B	`conf`	E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems. ICWE Jie Yang, Alessandro Bozzon, Geert-Jan Houben
2015	A	`conf`	Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems. UMAP Jie Yang, Alessandro Bozzon, Geert-Jan Houben
2015	B	`conf`	Knowledge Crowdsourcing Acceleration. ICWE Jie Yang, Alessandro Bozzon, Geert-Jan Houben
2015	—	`conf`	Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter. KDWeb Giuseppe Silvestri, Jie Yang, Alessandro Bozzon, Andrea Tagarelli
2015	J	`jnl`	On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks. Comput. Networks Jasper Oosterman, Jie Yang, Alessandro Bozzon, Lora Aroyo, Geert-Jan Houben
2014	—	`conf`	Asking the right question in collaborative q&a systems. HT Jie Yang, Claudia Hauff, Alessandro Bozzon, Geert-Jan Houben
2014	A	`conf`	Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow. UMAP Jie Yang, Ke Tao, Alessandro Bozzon, Geert-Jan Houben
2013	—	`conf`	Zips: mining compressing sequential patterns in streams. IDEA@KDD Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin