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Lei Ding 0013
Person information
- affiliation: University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, Canada
Other persons with the same name
- Lei Ding — disambiguation page
- Lei Ding 0001
— Texas Instruments, Embedded Processing Systems Lab, Dallas, TX, USA (and 2 more)
- Lei Ding 0002 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Lei Ding 0003
(aka: Leah Ding) — American University, Washington, DC, USA (and 3 more)
- Lei Ding 0004
— University of Oklahoma, Stephenson School of Biomedical Engineering, Norman, OK, USA (and 1 more)
- Lei Ding 0005
— Nanjing University of Posts and Telecommunications, Institute of Advance Technology, Nanjing, China (and 4 more)
- Lei Ding 0006 — Chinese Academy of Sciences, Shanghai Institute of Technical Physics, Key Laboratory of Infrared Detecting and Imaging Technology, China
- Lei Ding 0007 — Jishou University, Jishou, China (and 1 more)
- Lei Ding 0008
— PLA Strategic Force Information Engineering University, Zhengzhou, China (and 2 more)
- Lei Ding 0009
— Shandong University, Ministry of Education, Key Laboratory of Power System Intelligent Dispatch and Control, Jinan, China (and 3 more)
- Lei Ding 0010
— Information Center of the Civil Aviation Administration of China, Beijing, China
- Lei Ding 0011
— Hainan University, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Materials and Chemical Engineering, Haikou, China
- Lei Ding 0012
— Ricoh Software Research Center Beijing Co., Ltd, Beijing, China
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2020 – today
- 2024
- [c5]Enze Shi, Lei Ding, Linglong Kong, Bei Jiang:
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. NAACL-HLT 2024: 5960-5975 - 2023
- [c4]Yi Liu, Qirui Hu
, Lei Ding, Linglong Kong:
Online Local Differential Private Quantile Inference via Self-normalization. ICML 2023: 21698-21714 - [c3]Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang:
Gaussian Differential Privacy on Riemannian Manifolds. NeurIPS 2023 - [i3]Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang:
Gaussian Differential Privacy on Riemannian Manifolds. CoRR abs/2311.10101 (2023) - 2022
- [j1]Shenggang Hu, Jabir Alshehabi Al-Ani
, Karen D. Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu
, Monideepa Tarafdar
, Bei Jiang, Linglong Kong, Hongsheng Dai:
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. Frontiers Big Data 5: 805713 (2022) - [c2]Lei Ding
, Dengdeng Yu, Jinhan Xie, Wenxing Guo
, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI 2022: 11864-11872 - [c1]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. NeurIPS 2022 - [i2]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. CoRR abs/2210.02015 (2022) - 2021
- [i1]Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. CoRR abs/2112.05194 (2021)
Coauthor Index
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last updated on 2024-09-10 02:05 CEST by the dblp team
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