Didong Li

35 papers A* 5Journal 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training.
CoRR
Kevin Wang, Hongqian Niu, Didong Li
2025 J jnl
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data.
J. Mach. Learn. Res.
Didong Li, Andrew Jones, Sudipto Banerjee, Barbara E. Engelhardt
2025 A* conf
Contrastive Functional Principal Component Analysis.
AAAI
Eric Zhang, Didong Li
2025 J jnl
Deep Generative Models: Complexity, Dimensionality, and Approximation.
CoRR
Kevin Wang, Hongqian Niu, Yixin Wang, Didong Li
2025 J jnl
Deep Generative Models: Complexity, Dimensionality, and Approximation.
J. Mach. Learn. Res.
Kevin Wang, Hongqian Niu, Yixin Wang, Didong Li
2025 J jnl
HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity.
CoRR
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
2025 J jnl
How to Find Fantastic Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review.
CoRR
Buxin Su, Natalie Collina, Garrett Wen, Didong Li, Kyunghyun Cho, Jianqing Fan, Bingxin Zhao, Weijie Su
2025 A* conf
Identifiability for Gaussian Processes with Holomorphic Kernels.
ICLR
Ameer Qaqish, Didong Li
2025 J jnl
Incorporating LLM Embeddings for Variation Across the Human Genome.
CoRR
Hongqian Niu, Jordan Bryan, Xihao Li, Didong Li
2025 J jnl
Large-scale spatial variable gene atlas for spatial transcriptomics.
CoRR
Jiawen Chen, Jinwei Zhang, Dongshen Peng, Yutong Song, Aitong Ruan, Yun Li, Didong Li
2025 J jnl
Lower Ricci Curvature for Efficient Community Detection.
Trans. Mach. Learn. Res.
Yun Jin Park, Didong Li
2025 J jnl
Lower Ricci Curvature for Hypergraphs.
CoRR
Shiyi Yang, Can Chen, Didong Li
2025 J jnl
Understanding Overparametrization in Survival Models through Interpolation.
CoRR
Yin Liu, Jianwen Cai, Didong Li
2024 J jnl
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications.
CoRR
Yixiang Qu, Yifan Dai, Shilin Yu, Pradham Tanikella, Travis Schrank, Trevor Hackman, Didong Li, Di Wu
2024 J jnl
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?
CoRR
Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su
2024 A* conf
Contrastive dimension reduction: when and how?
NeurIPS
Sam Hawke, YueEn Ma, Didong Li
2024 J jnl
KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning.
Trans. Mach. Learn. Res.
Aishwarya Mandyam, Didong Li, Andrew Jones, Diana Cai, Barbara E. Engelhardt
2024 J jnl
Lower Ricci Curvature for Efficient Community Detection.
CoRR
Yun Jin Park, Didong Li
2024 A* conf
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics.
NeurIPS
Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li
2024 J jnl
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics.
CoRR
Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li
2024 J jnl
Spherical Rotation Dimension Reduction with Geometric Loss Functions.
J. Mach. Learn. Res.
Hengrui Luo, Jeremy E. Purvis, Didong Li
2023 J jnl
Contrastive inverse regression for dimension reduction.
CoRR
Sam Hawke, Hengrui Luo, Didong Li
2023 J jnl
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds.
J. Mach. Learn. Res.
Didong Li, Wenpin Tang, Sudipto Banerjee
2023 J jnl
Kernel Density Bayesian Inverse Reinforcement Learning.
CoRR
Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt
2023 A* conf
On the Identifiability and Interpretability of Gaussian Process Models.
NeurIPS
Jiawen Chen, Wancen Mu, Yun Li, Didong Li
2023 J jnl
On the Identifiability and Interpretability of Gaussian Process Models.
CoRR
Jiawen Chen, Wancen Mu, Yun Li, Didong Li
2022 J jnl
Exponential-Wrapped Distributions on Symmetric Spaces.
SIAM J. Math. Data Sci.
Emmanuel Chevallier, Didong Li, Yulong Lu, David B. Dunson
2022 J jnl
Spherical Rotation Dimension Reduction with Geometric Loss Functions.
CoRR
Hengrui Luo, Didong Li
2021 J jnl
Efficient Weingarten map and curvature estimation on manifolds.
Mach. Learn.
Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang
2021 J jnl
From the Greene-Wu Convolution to Gradient Estimation over Riemannian Manifolds.
CoRR
Tianyu Wang, Yifeng Huang, Didong Li
2020 J jnl
A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models.
Entropy
Mingming Li, Huafei Sun, Didong Li
2020 J jnl
Probabilistic Contrastive Principal Component Analysis.
CoRR
Didong Li, Andrew Jones, Barbara E. Engelhardt
2019 J jnl
Classification via local manifold approximation.
CoRR
Didong Li, David B. Dunson
2019 J jnl
Efficient Curvature Estimation for Oriented Point Clouds.
CoRR
Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang
2017 J jnl
A Geodesic-Based Riemannian Gradient Approach to Averaging on the Lorentz Group.
Entropy
Jing Wang, Huafei Sun, Didong Li