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ORCIDJie Yang 0028
Person information
- affiliation: Delft University of Technology, The Netherlands
- affiliation (former): Amazon, USA
- affiliation (former): University of Fribourg, EXascale Infolab, Switzerland
- affiliation (PhD 2017): Delft University of Technology, The Netherlands
Other persons with the same name
- Jie Yang — disambiguation page
- Jie Yang 0001
![[0000-0003-2896-1498]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2896-1498")
— Carnegie Mellon University, Pittsburgh, PA, USA - Jie Yang 0002 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (and 1 more)
- Jie Yang 0003 — Florida State University, Tallahassee, FL, USA (and 1 more)
- Jie Yang 0004 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jie Yang 0005 — University of Massachusetts (and 1 more)
- Jie Yang 0006 — Ishizuka Lab, Tokyo University (and 1 more)
- Jie Yang 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jie Yang 0008 — Cisco Systems (and 1 more)
- Jie Yang 0009 (aka: Jack Yang 0003, Jie (Jack) Yang) — University of Wollongong, SMART Infrastructure Facility, NSW, Australia
- Jie Yang 0010 — Advanced Micro Devices (and 1 more)
- Jie Yang 0011 — Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, China
- Jie Yang 0012 — University of Houston-Victoria (and 1 more)
- Jie Yang 0013 — Syracuse University
- Jie Yang 0014 — IBM China Research Lab (and 1 more)
- Jie Yang 0015 — Yahoo! Labs (and 1 more)
- Jie Yang 0016 — South China University of Technology
- Jie Yang 0017 — Huazhong University of Science and Technology
- Jie Yang 0018 — Beijing Institute of Technology
- Jie Yang 0019 — Shanghai Second Polytechnic University
- Jie Yang 0020 — School of Business, Sun Yat-sen University
- Jie Yang 0021 — Wichita State University
- Jie Yang 0022 — Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing
- Jie Yang 0023 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Research Center of Network Monitoring and Analysis, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System, Architecture and Convergence, China
- Jie Yang 0024 — Yanshan University, School of Electrical Engineering, Qinhuangdao, Hebei, China (and 1 more)
- Jie Yang 0025 — Southeast University, Development Research Center of Transportation Governed by Law, Nanjing, China
- Jie Yang 0026 — Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
- Jie Yang 0027 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
- Jie Yang 0029 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jie Yang 0030 — Temple University, School of Dentistry, Division of Oral and Maxillofacial Radiology, Philadelphia, USA
- Jie Yang 0031 — Anhui University, School of Physics & Material Science, Hefei, China
- Jie Yang 0032 — Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Jie Yang 0033 — Westlake University, Hangzhou, China (and 2 more)
- Jie Yang 0034 — Zhejiang A & F University, Jiyang College, Zhuji, China (and 1 more)
- Jie Yang 0035 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jie Yang 0036 — RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, VIC, Australia
- Jie Yang 0037 — North University of China, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China
- Jie Yang 0038 — Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Jie Yang 0039 — Harvard University, Harvard Medical School, USA (and 1 more)
- Jie Yang 0040 — Wuhan University, LIESMARS, China
- Jie Yang 0041 — Columbia University, Department of Biomedical Engineering, NY, USA
- Jie Yang 0042 — Nanjing Institute of Technology, School of Communication Engineering, China
- Jie Yang 0043 — Xi'an University of Technology, Institute of Water Resources and Hydro-Electric Engineering, China
- Jie Yang 0044 — Chongqing University, College of Computer Science, China
- Jie Yang 0045 — Northwestern University, Department of Civil and Environmental Engineering, Evanston, IL, USA
- Jie Yang 0046 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Jie Yang 0047 — Fujian Agriculture and Forestry University, College of Management, Fuzhou, China (and 1 more)
- Jie Yang 0048 — Hangzhou Dianzi University, Management School, China (and 3 more)
- Jie Yang 0049 — Chongqing University of Technology, College of Mechanical Engineering, China (and 1 more)
- Jie Yang 0050 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Jie Yang 0051 — Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China (and 1 more)
- Jie Yang 0052 — Zunyi Normal University, School of Physics and Electronic Science, China (and 1 more)
- Jie Yang 0053 — PLA Strategy Support Force Information Engineering University, School of Information Systems Engineering, Zhengzhou, China
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Books and Theses
- 2017
[b1]Jie Yang:
Crowd Knowledge Creation Acceleration. Delft University of Technology, Netherlands, 2017
Journal Articles
- 2025
- [j20]Burcu Sayin, Jie Yang, Xinyue Chen, Andrea Passerini, Fabio Casati:
Rethinking and recomputing the value of machine learning models. Artif. Intell. Rev. 58(8): 238 (2025) - [j19]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. ACM Comput. Surv. 57(6): 141:1-141:38 (2025) - 2024
- [j18]Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, Qing Wang:
Centimeter-Level Indoor Visible Light Positioning. IEEE Commun. Mag. 62(3): 48-53 (2024) - [j17]Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju:
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? J. Artif. Intell. Res. 81: 117-162 (2024) - [j16]Gianluca Demartini, Shazia Sadiq, Jie Yang:
Editorial: Special Issue on Human in the Loop Data Curation. ACM J. Data Inf. Qual. 16(1): 3:1-3:2 (2024) - [j15]Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu:
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2(3): 24:1-24:34 (2024) - 2023
- [j14]Jie Yang, Alessandro Bozzon, Ujwal Gadiraju, Matthew Lease:
Editorial: Human-centered AI: Crowd computing. Frontiers Artif. Intell. 6 (2023) - [j13]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j12]Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudré-Mauroux:
Streaming Graph Embeddings via Incremental Neighborhood Sketching. IEEE Trans. Knowl. Data Eng. 35(5): 5296-5310 (2023) - [j11]Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
Human-in-the-Loop Rule Discovery for Micropost Event Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8100-8111 (2023) - [j10]Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux:
Nessy: A Neuro-Symbolic System for Label Noise Reduction. IEEE Trans. Knowl. Data Eng. 35(8): 8300-8311 (2023) - 2022
- [j9]Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon:
An Analysis of Music Perception Skills on Crowdsourcing Platforms. Frontiers Artif. Intell. 5 (2022) - [j8]Gianluca Demartini, Jie Yang, Shazia Sadiq:
Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. SIGIR Forum 56(2): 17:1-17:8 (2022) - [j7]Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux:
LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. IEEE Trans. Knowl. Data Eng. 34(4): 1843-1855 (2022) - 2021
- [j6]Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati:
A review and experimental analysis of active learning over crowdsourced data. Artif. Intell. Rev. 54(7): 5283-5305 (2021) - [j5]Agathe Balayn, Jie Yang, Zoltán Szlávik, Alessandro Bozzon:
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. 4(3): 11:1-11:56 (2021) - 2019
- [j4]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - 2018
- [j3]Achilleas Psyllidis, Jie Yang, Alessandro Bozzon:
Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data. IEEE Access 6: 34334-34353 (2018) - [j2]Vincent X. Gong, Jie Yang, Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn, Geert-Jan Houben:
Using Social Media for Attendees Density Estimation in City-Scale Events. IEEE Access 6: 36325-36340 (2018) - 2015
- [j1]Jasper Oosterman, Jie Yang, Alessandro Bozzon, Lora Aroyo, Geert-Jan Houben:
On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks. Comput. Networks 90: 133-149 (2015)
Conference and Workshop Papers
- 2025
- [c72]Philip Lippmann, Konrad Skublicki, Joshua B. Tanner, Shonosuke Ishiwatari, Jie Yang:
Context-Informed Machine Translation of Manga using Multimodal Large Language Models. COLING 2025: 3444-3464 - 2024
- [c71]Anne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon, Jie Yang:
Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF. AIES (1) 2024: 61-73 - [c70]Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, Jie Yang:
"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. CHI 2024: 441:1-441:21 - [c69]Alisa Smirnova, Jie Yang, Philippe Cudré-Mauroux:
XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction. CIKM 2024: 2097-2107 - [c68]Zhen Wang, Peide Zhu, Jie Yang:
ControversialQA: Exploring Controversy in Question Answering. LREC/COLING 2024: 3962-3966 - [c67]Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang:
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning. ICLR 2024 - [c66]Peide Zhu, Zhen Wang, Manabu Okumura, Jie Yang:
MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering. MMM (2) 2024: 98-111 - [c65]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR 2024: 966-976 - [c64]Weijian Yu, Jie Yang, Dingqi Yang:
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning. WWW 2024: 2282-2293 - 2023
- [c63]Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju:
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. AIES 2023: 482-495 - [c62]Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang:
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. AIES 2023: 834-844 - [c61]Andrea Tocchetti, Jie Yang, Marco Brambilla:
Rationale Trees: Towards a Formalization of Human Knowledge for Explainable Natural Language Processing. XAI.it@AI*IA 2023: 29-46 - [c60]Agathe Balayn, Natasa Rikalo, Jie Yang, Alessandro Bozzon:
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. CHI 2023: 11:1-11:20 - [c59]Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang:
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM 2023: 5267-5270 - [c58]Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
Value-Aware Active Learning. HHAI 2023: 215-223 - [c57]Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
Value-Based Hybrid Intelligence. HHAI 2023: 366-370 - [c56]Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, Agathe Balayn, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon:
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. IUI 2023: 650-663 - [c55]Hao Liu, Hanting Ye, Xiangxie Zhang, Jie Yang, Qing Wang:
Fingertip Air-Writing with Ambient Light. MobiQuitous (2) 2023: 179-191 - [c54]Ran Zhu, Mingkun Yang, Jie Yang, Qing Wang:
FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications. SECON 2023: 402-410 - [c53]Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon:
HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. WWW 2023: 3837-3848 - 2022
- [c52]Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon:
How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? CHI 2022: 184:1-184:16 - [c51]Gianluca Demartini, Jie Yang, Shazia Sadiq:
Workshop on Human-in-the-loop Data Curation. CIKM 2022: 5161-5162 - [c50]Peide Zhu, Claudia Hauff, Jie Yang:
MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. EDM 2022 - [c49]Peide Zhu, Zhen Wang, Claudia Hauff, Jie Yang, Avishek Anand:
Answer Quality Aware Aggregation for Extractive QA Crowdsourcing. EMNLP (Findings) 2022: 6147-6159 - [c48]Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang:
CHIME: Causal Human-in-the-Loop Model Explanations. HCOMP 2022: 27-39 - [c47]Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju:
It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. HCOMP 2022: 89-101 - [c46]Zhen Wang, Xu Shan, Xiangxie Zhang, Jie Yang:
N24News: A New Dataset for Multimodal News Classification. LREC 2022: 6768-6775 - [c45]Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong:
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR 2022: 2900-2911 - [c44]Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon:
What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. WWW 2022: 882-892 - [c43]Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju:
Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. WWW 2022: 1709-1719 - 2021
- [c42]Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux:
MARTA: Leveraging Human Rationales for Explainable Text Classification. AAAI 2021: 5868-5876 - [c41]Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon:
Exploring the Music Perception Skills of Crowd Workers. HCOMP 2021: 108-119 - [c40]Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev:
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT 2021: 155-164 - [c39]Burcu Sayin, Evgeny Krivosheev, Jorge Ramírez, Fabio Casati, Ekaterina A. Taran, Veronika A. Malanina, Jie Yang:
Crowd-Powered Hybrid Classification Services: Calibration is all you need. ICWS 2021: 42-50 - [c38]Hao Liu, Hanting Ye, Jie Yang, Qing Wang:
Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning. SenSys 2021: 478-484 - [c37]Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux:
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. WWW 2021: 1916-1927 - [c36]Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon:
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. WWW 2021: 1937-1948 - 2020
- [c35]Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. AAAI 2020: 2451-2458 - [c34]Felipe Moraes, Jie Yang, Rongting Zhang, Vanessa Murdock:
The Role of Attributes in Product Quality Comparisons. CHIIR 2020: 253-262 - [c33]Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang:
Structured Probabilistic End-to-End Learning from Crowds. IJCAI 2020: 1512-1518 - [c32]Ujwal Gadiraju, Jie Yang:
What Can Crowd Computing Do for the Next Generation of AI Systems? CSW@NeurIPS 2020: 7-13 - [c31]Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng:
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020: 23-32 - [c30]Rongting Zhang, Jie Yang:
Web-to-Voice Transfer for Product Recommendation on Voice. SIGIR 2020: 1221-1230 - [c29]Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux:
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. WWW 2020: 1851-1862 - 2019
- [c28]Guanliang Chen, Jie Yang, Dragan Gasevic:
A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation. AIED (1) 2019: 59-70 - [c27]Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben:
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content. EMNLP/IJCNLP (1) 2019: 2349-2359 - [c26]Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux:
ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs. WWW 2019: 1398-1408 - [c25]Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux:
Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach. WWW 2019: 2147-2157 - [c24]Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, Philippe Cudré-Mauroux:
Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data. WWW 2019: 2158-2168 - 2018
- [c23]Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, Alessandro Bozzon:
How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk. HCOMP 2018: 193-202 - [c22]Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben:
LearningQ: A Large-Scale Dataset for Educational Question Generation. ICWSM 2018: 481-490 - [c21]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu:
Recurrent knowledge graph embedding for effective recommendation. RecSys 2018: 297-305 - [c20]Gregory Afentoulidis, Zoltán Szlávik, Jie Yang, Alessandro Bozzon:
Social Gamification in Enterprise Crowdsourcing. WebSci 2018: 135-144 - [c19]Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek:
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa. WWW 2018: 23-32 - 2017
- [c18]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI 2017: 189-195 - [c17]Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. CIKM 2017: 1459-1468 - [c16]Ujwal Gadiraju, Jie Yang, Alessandro Bozzon:
Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing. HT 2017: 5-14 - [c15]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu:
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI 2017: 2807-2813 - [c14]Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, Alessandro Bozzon:
Recommender systems for citizens: the CitRec'17 workshop manifesto. CitRec@RecSys 2017: 1:1-1:4 - [c13]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys 2017: 388-389 - 2016
- [c12]Jie Yang, Judith Redi, Gianluca Demartini, Alessandro Bozzon:
Modeling Task Complexity in Crowdsourcing. HCOMP 2016: 249-258 - [c11]Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar:
Diversity in Urban Social Media Analytics. ICWE 2016: 335-353 - [c10]Arkka Dhiratara, Jie Yang, Alessandro Bozzon, Geert-Jan Houben:
Social Media Data Analytics for Tourism - A Preliminary Study. KDWeb 2016 - [c9]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang:
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys 2016: 51-58 - [c8]Deniz Iren, Cynthia C. S. Liem, Jie Yang, Alessandro Bozzon:
Using social media to reveal social and collective perspectives on music. WebSci 2016: 296-300 - 2015
- [c7]Jie Yang, Alessandro Bozzon, Geert-Jan Houben:
Knowledge Crowdsourcing Acceleration. ICWE 2015: 639-643 - [c6]Jie Yang, Alessandro Bozzon, Geert-Jan Houben:
E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems. ICWE 2015: 691-694 - [c5]Giuseppe Silvestri, Jie Yang, Alessandro Bozzon, Andrea Tagarelli:
Linking Accounts across Social Networks: the Case of StackOverflow, Github and Twitter. KDWeb 2015: 41-52 - [c4]Jie Yang, Alessandro Bozzon, Geert-Jan Houben:
Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems. UMAP 2015: 315-327 - 2014
- [c3]Jie Yang, Claudia Hauff, Alessandro Bozzon, Geert-Jan Houben:
Asking the right question in collaborative q&a systems. HT 2014: 179-189 - [c2]Jie Yang, Ke Tao, Alessandro Bozzon, Geert-Jan Houben:
Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow. UMAP 2014: 266-277 - 2013
- [c1]Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin:
Zips: mining compressing sequential patterns in streams. IDEA@KDD 2013: 54-62
Editorship
- 2017
- [e1]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy. ACM 2017 [contents]
Informal and Other Publications
- 2025
- [i23]Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu:
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? CoRR abs/2504.17220 (2025) - 2024
- [i22]Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang:
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. CoRR abs/2401.00290 (2024) - [i21]Philip Lippmann, Matthijs T. J. Spaan, Jie Yang:
Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. CoRR abs/2403.17860 (2024) - [i20]Philip Lippmann, Matthijs T. J. Spaan, Jie Yang:
Positive Experience Reflection for Agents in Interactive Text Environments. CoRR abs/2411.02223 (2024) - [i19]Philip Lippmann, Konrad Skublicki, Joshua B. Tanner, Shonosuke Ishiwatari, Jie Yang:
Context-Informed Machine Translation of Manga using Multimodal Large Language Models. CoRR abs/2411.02589 (2024) - 2023
- [i18]Zhen Wang, Peide Zhu, Jie Yang:
ControversialQA: Exploring Controversy in Question Answering. CoRR abs/2302.05061 (2023) - [i17]Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang:
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. CoRR abs/2307.11806 (2023) - [i16]Lorenzo Corti, Jie Yang:
ARTIST: ARTificial Intelligence for Simplified Text. CoRR abs/2308.13458 (2023) - [i15]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR abs/2312.16262 (2023) - 2022
- [i14]Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang:
Towards Fine-grained Causal Reasoning and QA. CoRR abs/2204.07408 (2022) - [i13]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR abs/2206.10848 (2022) - [i12]Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen:
Rethinking and Recomputing the Value of ML Models. CoRR abs/2209.15157 (2022) - [i11]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. CoRR abs/2210.08906 (2022) - 2021
- [i10]Zhen Wang, Xu Shan, Jie Yang:
N15News: A New Dataset for Multimodal News Classification. CoRR abs/2108.13327 (2021) - [i9]Hossein A. Rahmani, Jie Yang:
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. CoRR abs/2110.09248 (2021) - [i8]Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
The Science of Rejection: A Research Area for Human Computation. CoRR abs/2111.06736 (2021) - [i7]Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju:
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. CoRR abs/2112.00076 (2021) - [i6]Fabio Casati, Pierre-André Noël, Jie Yang:
On the Value of ML Models. CoRR abs/2112.06775 (2021) - 2019
- [i5]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR abs/1909.12807 (2019) - [i4]Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. CoRR abs/1912.00667 (2019) - 2018
- [i3]Jie Yang, Thomas Drake, Andreas C. Damianou, Yoelle Maarek:
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa. CoRR abs/1803.04223 (2018) - 2017
- [i2]Jie Yang, Alessandro Bozzon:
On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing (Position paper). CoRR abs/1702.03385 (2017) - [i1]Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. CoRR abs/1709.01532 (2017)
Coauthor Index
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