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Papers
Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning
ACML 2025
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
ICML 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
CVPR 2025
PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
Interspeech 2025
Riemannian Optimization for LoRA on the Stiefel Manifold
EMNLP 2025
Faster Randomized Methods for Orthogonality Constrained Problems
JMLR 2024
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
JMLR 2024
Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint
ACL 2024
Personalized PCA: Decoupling Shared and Unique Features
JMLR 2024
Sparse PCA: a Geometric Approach
JMLR 2023
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
AAAI 2022
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
ICLR 2022
A Vector-Based Representation to Enhance Head Pose Estimation
WACV 2021
On Orthogonality Constraints for Transformers
ACL 2021
Towards Robustifying NLI Models Against Lexical Dataset Biases
ACL 2020
ABD-Net: Attentive but Diverse Person Re-Identification
ICCV 2019
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering
IJCAI 2019
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
ICML 2016
Computationally Bounded Retrieval
CVPR 2015
Manopt, a Matlab Toolbox for Optimization on Manifolds
JMLR 2014
Factorized Orthogonal Latent Spaces
AISTATS 2010