Chao Liu

A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch

2021 · Proceedings of the International AAAI Conference on Web and Social Media

Merger and Acquisition (M&A) prediction has been an interesting and challenging research topic in the past a few decades. However, past work has only adopted numerical features in building models, and yet the valuable textual …

Consideration for Running Data Center at High Temperatures and Using Free Air Cooling

2015

The advent of the big data era, the rapid development of mobile internet, and the rising demand of cloud computing services require increasingly more compute capability from their data center. This compute increase will most …

Towards mutation analysis for use cases

2016

Requirements inspection is a well-known method for detecting defects. Various defect detection techniques for requirements inspection have been widely applied in practice such as checklist and defect-based techniques. Use case modelling is a widely accepted …

Study on Exercise Intensity Level and Heart Rate Standard for Promoting Physical Health of Middle School Students

2025 · Education Reform and Development

Since the introduction of the “Physical Education and Health Curriculum Standards for Compulsory Education (2022 edition),” which emphasized the importance of physical education intensity, there has been scholarly debate and discussion among experts and physical …

Prototype-Enhanced Few-Shot Relation Extraction Method Based on Cluster Loss Optimization

2025 · Symmetry

The purpose of few-shot relation extraction (RE) is to recognize the relationship between specific entity pairs in text when there are a limited number of labeled samples. A few-shot RE method based on a prototype …

AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model

2025 · arXiv (Cornell University)

In recent years, while cloud-based MLLMs such as QwenVL, InternVL, GPT-4o, Gemini, and Claude Sonnet have demonstrated outstanding performance with enormous model sizes reaching hundreds of billions of parameters, they significantly surpass the limitations in …

FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification

2025 · arXiv (Cornell University)

With the rapid development of online medical platforms, consumer health questions (CHQs) are inefficient in diagnosis due to redundant information and frequent non-professional terms. The medical question summary (MQS) task aims to transform CHQs into …

Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation

2015

Word embedding has been found to be highly powerful to translate words from one language to another by a simple linear transform. However, we found some inconsistence among the objective functions of the embedding and …