8 citations · 16 across the 22 of their papers we have counts for
9 papers · 1 filter
Online Convex Optimization with Dueling Feedback
Yiyang Lu, Hareshkumar Jadav, Mohammad Pedramfar +2
Noisy binary comparison between two candidates is a common interface between human and learning systems, especially in modern large language model (LLM) post-training alignment. We…
Online Non-Monotone DR-Submodular Maximization Matching the Offline Factor
Vaneet Aggarwal, Yiyang Lu
We study online maximization of nonnegative, non-monotone DR-submodular functions over compact convex down-closed subsets of the -dimensional unit cube. The best known construct…
MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
Yiyang Lu, Yu He, Jianlong Chen +1
Continual fine-tuning of large language models (LLMs) is becoming increasingly crucial as these models are deployed in dynamic environments where tasks and data distributions evolv…
Trinity: A Scenario-Aware Recommendation Framework for Large-Scale Cold-Start Users
Wenhao Zheng, Wang Lu, Fangshuang Tang +4
Early-stage users in a new scenario intensify cold-start challenges, yet prior works often address only parts of the problem through model architecture. Launching a new user experi…
Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
Yiyang Lu, Haresh Jadav, Mohammad Pedramfar +2
We study online maximization of non-monotone Diminishing-Return(DR)-submodular functions over down-closed convex sets, a regime where existing projection-free online methods suffer…
BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
Jingwen Xu, Yiyang Lu, Zisu Huang +9
Training LLMs for code-related tasks typically depends on high-quality code-documentation pairs, which are costly to curate and often scarce for niche programming languages. We int…
Bidirectional Normalizing Flow: From Data to Noise and Back
Yiyang Lu, Qiao Sun, Xianbang Wang +3
Normalizing Flows (NFs) have been established as a principled framework for generative modeling. Standard NFs consist of a forward process and a reverse process: the forward proces…
BAGEL: Adversarially Constrained Online Convex Optimization under Separation Oracle Access
Yiyang Lu, Mohammad Pedramfar, Mengbo Wang +1
In adversarial Constrained Online Convex Optimization (COCO), a learner selects actions from a fixed convex set while seeking both low regret and low cumulative constraint violatio…
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing
Donald Loveland, Jiayi Pan, Aaresh Farrokh Bhathena +1
Graph Neural Networks (GNNs) have proven to excel in predictive modeling tasks where the underlying data is a graph. However, as GNNs are extensively used in human-centered applica…