Qinghua Hu

Detecting Adversarial Examples via Key-based Network

2018 · arXiv (Cornell University)

Though deep neural networks have achieved state-of-the-art performance in visual classification, recent studies have shown that they are all vulnerable to the attack of adversarial examples. Small and often imperceptible perturbations to the input images …

Regression-Based Hyperparameter Learning for Support Vector Machines

2023 · IEEE Transactions on Neural Networks and Learning Systems

Unification of classification and regression is a major challenge in machine learning and has attracted increasing attentions from researchers. In this article, we present a new idea for this challenge, where we convert the classification …

Exploring Diverse Representations for Open Set Recognition

2024 · arXiv (Cornell University)

Open set recognition (OSR) requires the model to classify samples that belong to closed sets while rejecting unknown samples during test. Currently, generative models often perform better than discriminative models in OSR, but recent studies …

Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback

2025

Large language models (LLMs) have advanced document-level relation extraction (DocRE), but DocRE is more complex than sentencelevel relation extraction (SentRE), facing challenges like diverse relation types, coreference resolution and long-distance dependencies.Traditional pipeline methods, which detect …