5 citations · 5 across the 4 of their papers we have counts for
5 papers
Hierarchical Credit Assignment for RLVR on Fused Gromov-Wasserstein Geometry
Qi Yu, Ruizhong Qiu, Zhichen Zeng +6
Reinforcement learning with verifiable rewards (RLVR) has been shown to improve the reasoning capability of large language models (LLMs) across diverse reasoning tasks. However, gr…
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Deep Pandey, Qi Yu
Evidential deep learning, built upon belief theory and subjective logic, offers a principled and computationally efficient way to turn a deterministic neural network uncertainty-aw…
Towards Open Set Video Anomaly Detection
Yuansheng Zhu, Wentao Bao, Qi Yu
Open Set Video Anomaly Detection (OpenVAD) aims to identify abnormal events from video data where both known anomalies and novel ones exist in testing. Unsupervised models learned…
Balancing Bias and Variance for Active Weakly Supervised Learning
Hitesh Sapkota, Qi Yu
As a widely used weakly supervised learning scheme, modern multiple instance learning (MIL) models achieve competitive performance at the bag level. However, instance-level predict…
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey +4
We propose a novel framework to classify large-scale time series data with long duration. Long time seriesclassification (L-TSC) is a challenging problem because the dataoften cont…