Qiujing Lu — accepted AI-conference papers

2026

An Exterior Method for Nonnegative Matrix Factorization

Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh, Kartik Sharma, Vwani Roychowdhury

ICML 2026poster

Nonnegative matrix factorization (NMF) seeks a low-rank approximation $X \approx UV^T$ with nonnegative factors and is commonly solved using *interior* methods that enforce feasibility throughout optimization. We show that such constraint-driven approaches can impede progress in the nonconvex landsc…

Cited by 0 Source ↗Scholar ↗

2022

KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction

Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan +1

ICRA 2022poster

Predicting future trajectories of road agents is a critical task for autonomous driving. Recent goal-based trajectory prediction methods, such as DenseTNT and PECNet [1], [2], have shown good performance on prediction tasks on public datasets. However, they usually require complicated goal-selection…

Cited by 20 Source ↗Scholar ↗