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2020 – today
- 2025
[j8]Yun Jin Park, Didong Li:
Lower Ricci Curvature for Efficient Community Detection. Trans. Mach. Learn. Res. 2025 (2025)- [c5]Eric Zhang, Didong Li:
Contrastive Functional Principal Component Analysis. AAAI 2025: 22380-22388 - [c4]Ameer Qaqish, Didong Li:
Identifiability for Gaussian Processes with Holomorphic Kernels. ICLR 2025 - [i19]Kevin Wang, Hongqian Niu, Yixin Wang, Didong Li:
Deep Generative Models: Complexity, Dimensionality, and Approximation. CoRR abs/2504.00820 (2025) - [i18]Xuejun Sun, Yiran Song, Xiaochen Zhou, Ruilie Cai, Yu Zhang, Xinyi Li, Rui Peng, Jialiu Xie, Yuanyuan Yan, Muyao Tang, Prem Lakshmanane, Baiming Zou, James S. Hagood, Raymond J. Pickles, Didong Li, Fei Zou, Xiaojing Zheng:
HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity. CoRR abs/2505.14725 (2025) - [i17]Shiyi Yang, Can Chen, Didong Li:
Lower Ricci Curvature for Hypergraphs. CoRR abs/2506.03943 (2025) - [i16]Hongqian Niu, Jordan Bryan, Xihao Li, Didong Li:
Incorporating LLM Embeddings for Variation Across the Human Genome. CoRR abs/2509.20702 (2025) - [i15]Buxin Su, Natalie Collina, Garrett Wen, Didong Li, Kyunghyun Cho, Jianqing Fan, Bingxin Zhao, Weijie Su:
How to Find Fantastic Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review. CoRR abs/2510.02143 (2025) - [i14]Jiawen Chen, Jinwei Zhang, Dongshen Peng, Yutong Song, Aitong Ruan, Yun Li, Didong Li:
Large-scale spatial variable gene atlas for spatial transcriptomics. CoRR abs/2510.07653 (2025) - [i13]Yin Liu, Jianwen Cai, Didong Li:
Understanding Overparametrization in Survival Models through Interpolation. CoRR abs/2512.12463 (2025) - 2024
- [j7]Hengrui Luo, Jeremy E. Purvis, Didong Li:
Spherical Rotation Dimension Reduction with Geometric Loss Functions. J. Mach. Learn. Res. 25: 175:1-175:55 (2024) - [j6]Aishwarya Mandyam, Didong Li, Andrew Jones, Diana Cai, Barbara E. Engelhardt:
KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c3]Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li:
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics. NeurIPS 2024 - [c2]Sam Hawke, YueEn Ma, Didong Li:
Contrastive dimension reduction: when and how? NeurIPS 2024 - [i12]Yun Jin Park, Didong Li:
Lower Ricci Curvature for Efficient Community Detection. CoRR abs/2401.10124 (2024) - [i11]Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li:
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics. CoRR abs/2406.06393 (2024) - [i10]Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su
:
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? CoRR abs/2408.13430 (2024) - [i9]Yixiang Qu, Yifan Dai, Shilin Yu, Pradham Tanikella, Travis Schrank, Trevor Hackman, Didong Li, Di Wu:
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications. CoRR abs/2412.02868 (2024) - 2023
- [j5]Didong Li, Wenpin Tang, Sudipto Banerjee:
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds. J. Mach. Learn. Res. 24: 101:1-101:26 (2023) - [c1]Jiawen Chen, Wancen Mu, Yun Li, Didong Li:
On the Identifiability and Interpretability of Gaussian Process Models. NeurIPS 2023 - [i8]Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt:
Kernel Density Bayesian Inverse Reinforcement Learning. CoRR abs/2303.06827 (2023) - [i7]Sam Hawke, Hengrui Luo, Didong Li:
Contrastive inverse regression for dimension reduction. CoRR abs/2305.12287 (2023) - [i6]Jiawen Chen, Wancen Mu, Yun Li, Didong Li:
On the Identifiability and Interpretability of Gaussian Process Models. CoRR abs/2310.17023 (2023) - 2022
- [j4]Emmanuel Chevallier, Didong Li, Yulong Lu, David B. Dunson:
Exponential-Wrapped Distributions on Symmetric Spaces. SIAM J. Math. Data Sci. 4(4): 1347-1368 (2022) - [i5]Hengrui Luo, Didong Li:
Spherical Rotation Dimension Reduction with Geometric Loss Functions. CoRR abs/2204.10975 (2022) - 2021
- [j3]Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang:
Efficient Weingarten map and curvature estimation on manifolds. Mach. Learn. 110(6): 1319-1344 (2021) - [i4]Tianyu Wang, Yifeng Huang, Didong Li:
From the Greene-Wu Convolution to Gradient Estimation over Riemannian Manifolds. CoRR abs/2108.07406 (2021) - 2020
- [j2]Mingming Li, Huafei Sun, Didong Li:
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models. Entropy 22(3): 306 (2020) - [i3]Didong Li, Andrew Jones, Barbara E. Engelhardt:
Probabilistic Contrastive Principal Component Analysis. CoRR abs/2012.07977 (2020)
2010 – 2019
- 2019
- [i2]Didong Li, David B. Dunson:
Classification via local manifold approximation. CoRR abs/1903.00985 (2019) - [i1]Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang:
Efficient Curvature Estimation for Oriented Point Clouds. CoRR abs/1905.10725 (2019) - 2017
- [j1]Jing Wang, Huafei Sun, Didong Li:
A Geodesic-Based Riemannian Gradient Approach to Averaging on the Lorentz Group. Entropy 19(12): 698 (2017)
Coauthor Index
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