| Topic modelling meets deep neural networks: A survey H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine arXiv preprint arXiv:2103.00498, 2021 | 168 | 2021 |
| Federated learning meets natural language processing: A survey M Liu, S Ho, M Wang, L Gao, Y Jin, H Zhang arXiv preprint arXiv:2107.12603, 2021 | 96 | 2021 |
| Summpip: Unsupervised multi-document summarization with sentence graph compression J Zhao, M Liu, L Gao, Y Jin, L Du, H Zhao, H Zhang, G Haffari Proceedings of the 43rd international acm sigir conference on research and …, 2020 | 70 | 2020 |
| Transformer over pre-trained transformer for neural text segmentation with enhanced topic coherence K Lo, Y Jin, W Tan, M Liu, L Du, W Buntine arXiv preprint arXiv:2110.07160, 2021 | 44 | 2021 |
| A technical survey on statistical modelling and design methods for crowdsourcing quality control Y Jin, M Carman, Y Zhu, Y Xiang Artificial Intelligence 287, 103351, 2020 | 44 | 2020 |
| Hierarchical clustering that takes advantage of both density-peak and density-connectivity Y Zhu, KM Ting, Y Jin, M Angelova Information Systems 103, 101871, 2022 | 20 | 2022 |
| Leveraging information bottleneck for scientific document summarization J Ju, M Liu, HY Koh, Y Jin, L Du, S Pan arXiv preprint arXiv:2110.01280, 2021 | 19 | 2021 |
| Neural attention-aware hierarchical topic model Y Jin, H Zhao, M Liu, L Du, W Buntine arXiv preprint arXiv:2110.07161, 2021 | 18 | 2021 |
| Bidkt: Deep knowledge tracing with bert W Tan, Y Jin, M Liu, H Zhang International Conference on Ad Hoc Networks, 260-278, 2021 | 13 | 2021 |
| HiTSKT: A hierarchical transformer model for session-aware knowledge tracing F Ke, W Wang, W Tan, L Du, Y Jin, Y Huang, H Yin Knowledge-Based Systems 284, 111300, 2024 | 12 | 2024 |
| Leveraging side information to improve label quality control in crowd-sourcing Y Jin, M Carman, D Kim, L Xie Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017 | 12 | 2017 |
| Learning semantic textual similarity via topic-informed discrete latent variables E Yu, L Du, Y Jin, Z Wei, Y Chang arXiv preprint arXiv:2211.03616, 2022 | 8 | 2022 |
| Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data Y Jin, M Liu, Y Li, R Xu, L Du, L Gao, Y Xiang Data Mining and Knowledge Discovery 35, 505-532, 2021 | 8 | 2021 |
| Distinguishing question subjectivity from difficulty for improved crowdsourcing Y Jin, M Carman, Y Zhu, W Buntine Asian Conference on Machine Learning, 192-207, 2018 | 6 | 2018 |
| Leveraging label category relationships in multi-class crowdsourcing Y Jin, L Du, Y Zhu, M Carman Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 4 | 2018 |
| A Little Competition Never Hurt Anyone's Relevance Assessments. Y Jin, MJ Carman, L Xie GamifIR@ SIGIR, 29-36, 2016 | 4 | 2016 |
| A two tiered finite mixture modelling framework to cluster customers on EFTPOS network Y Jin, G Rumantir AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint …, 2015 | 3 | 2015 |
| Discriminative, generative and self-supervised approaches for target-agnostic learning Y Jin, W Buntine, F Petitjean, GI Webb arXiv preprint arXiv:2011.06428, 2020 | 2 | 2020 |
| Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering Y Jin, H Zhao, M Liu, Y Zhu, L Du, L Gao, H Zhang, Y Li arXiv preprint arXiv:2002.09145, 2020 | 1 | 2020 |
| Modelling Techniques and Inference Procedures for Improving Quality Control in Crowdsourcing Applications Y Jin Monash University, 2018 | 1 | 2018 |