Dong Zhang

A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation

2019 · arXiv (Cornell University)

Paper-reviewer recommendation task is of significant academic importance for conference chairs and journal editors. How to effectively and accurately recommend reviewers for the submitted papers is a meaningful and still tough task. In this paper, …

Cloud Resource Scheduling Method Based on Hybrid Particle Swarm Optimization

2019

As a new computing model, cloud computing delivers infrastructure resources such as computing and storage of data centers to users in the form of services by applying virtualized technologies. Users can access the resources of …

Classification of benign and malignant breast masses using entropy from nonlinear ultrasound radiofrequency signal

2020 · Acta Physica Sinica

In this paper the classification of benign and malignant breast masses is investigated by using the entropy of nonlinear ultrasound radio frequency (RF) signal. The parameters (entropy and weighted entropy) derived from the nonlinear ultrasound …

SeqXGPT: Sentence-Level AI-Generated Text Detection

2023

Widely applied large language models (LLMs) can generate human-like content, raising concerns about the abuse of LLMs. Therefore, it is important to build strong AI-generated text (AIGT) detectors. Current works only consider document-level AIGT detection, …

SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation

2024 · arXiv (Cornell University)

Benefiting from effective speech modeling, current Speech Large Language Models (SLLMs) have demonstrated exceptional capabilities in in-context speech generation and efficient generalization to unseen speakers. However, the prevailing information modeling process is encumbered by certain …

UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model

2025

Significant advancements has recently been achieved in the field of multi-modal large language models (MLLMs), demonstrating their remarkable capabilities in understanding and reasoning across diverse tasks.However, these models are often trained for specific tasks and …