| Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu, L Kong, H Dai, Y Bao, B Jiang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11864 …, 2022 | 36* | 2022 |
| A method for generating synthetic longitudinal health data L Mosquera, K El Emam, L Ding, V Sharma, XH Zhang, SE Kababji, ... BMC Medical Research Methodology 23 (1), 67, 2023 | 27 | 2023 |
| Balancing gender bias in job advertisements with text-level bias mitigation S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... Frontiers in big Data 5, 805713, 2022 | 25 | 2022 |
| Conformalized fairness via quantile regression M Liu, L Ding, D Yu, W Liu, L Kong, B Jiang Advances in Neural Information Processing Systems 35, 11561-11572, 2022 | 13 | 2022 |
| Reducing selection bias in counterfactual reasoning for individual treatment effects estimation Z Zhang, Q Lan, L Ding, Y Wang, N Hassanpour, R Greiner NeurIPS 2019 Workshop on "Do the right thing": machine learning and causal …, 2019 | 12 | 2019 |
| Gaussian differential privacy on Riemannian manifolds Y Jiang, X Chang, Y Liu, L Ding, L Kong, B Jiang Advances in Neural Information Processing Systems 36, 14665-14684, 2023 | 7 | 2023 |
| Antibiotic resistome in groundwater and its association with mountain springs and river FY Huang, Y Zhao, R Neilson, XY Zhou, H Li, L Ding, JQ Su Ecotoxicology and Environmental Safety 252, 114603, 2023 | 6 | 2023 |
| Online local differential private quantile inference via self-normalization Y Liu, Q Hu, L Ding, L Kong International Conference on Machine Learning, 21698-21714, 2023 | 4 | 2023 |
| BIAS Word inventory for work and employment diversity,(in) equality and inclusivity (Version 1.0) A Konnikov, N Denier, Y Hu, KD Hughes, J Alshehabi Al-Ani, L Ding, ... SocArXiv, 2022 | 4 | 2022 |
| Gendered STEM Workforce in the United Kingdom: The Role of Gender Bias in Job Advertising Y Hu, M Tarafdar, J Alshehabi Al-Ani, I Rets, S Hu, N Denier, KD Hughes, ... HMSO, 2022 | 2 | 2022 |
| Language in job advertisements and the reproduction of labor force gender and racial segregation Y Hu, N Denier, L Ding, M Tarafdar, A Konnikov, KD Hughes, S Hu, ... PNAS nexus 3 (12), pgae526, 2024 | 1 | 2024 |
| From physical space to cyberspace: recessive gender biases in social media mirror the real world K Shen, L Ding, L Kong, X Liu Cities 152, 105149, 2024 | 1 | 2024 |
| Responsible AI for labour market equality (BIAS) A Konnikov, I Rets, KD Hughes, JA Al-Ani, N Denier, L Ding, S Hu, Y Hu, ... How to Manage International Multidisciplinary Research Projects, 75-87, 2022 | 1 | 2022 |
| Measurement and Analysis of Cloud User Interest: A Glance From BitTorrent L Ding, Y Li, H Wang, K Xu IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 1 | 2020 |
| Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach L Ding, Y Hu, N Denier, E Shi, J Zhang, Q Hu, KD Hughes, L Kong, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 1 | |
| Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations E Shi, L Ding, L Kong, B Jiang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Exponential-Wrapped Mechanisms for Differential Privacy on Hadamard Manifolds Y Jiang, X Chang, L Ding, L Kong, B Jiang | | |
Linglong KongProfessor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, AmiiE-mailová adresa ověřena na: ualberta.ca