Zheng Yan

Anonymous Authentication for Trustworthy Pervasive Social Networking

2015 · IEEE Transactions on Computational Social Systems

Pervasive social networking (PSN) supports instant social activities anywhere and at any time with the support of heterogeneous networks. In order to preserve privacy and achieve trustworthy PSN, anonymous authentication on node trust is expected …

Heterogeneous Data Storage Management with Deduplication in Cloud Computing

2017 · IEEE Transactions on Big Data

Cloud storage as one of the most important services of cloud computing helps cloud users break the bottleneck of restricted resources and expand their storage without upgrading their devices. In order to guarantee the security …

Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems

2018 · IEEE Transactions on Sustainable Computing

Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers, and things. Outsourcing computation to the cloud can offer resources-constrained enterprises and consumers sustainable computing in CPSS. However, ensuring the security of data in such …

End-to-End Neural Ranking for eCommerce Product Search: an Application of Task Models and Textual Embeddings.

2018

We consider the problem of retrieving and ranking items in an eCommerce catalog, often called SKUs, in order of relevance to a user-issued query. The input data for the ranking are the texts of the …

A Survey on Data Security in Network Storage Systems

2022 · 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)

The development of mobile Internet produces massive data and causes rapid evolution and improvement of storage systems. The new generation of widely applied storage systems is represented by storage area networks, distributed storage systems, and …

Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study

2024 · arXiv (Cornell University)

Training Learning-to-Rank models for e-commerce product search ranking can be challenging due to the lack of a gold standard of ranking relevance. In this paper, we decompose ranking relevance into content-based and engagement-based aspects, and …

AutoPR: Let's Automate Your Academic Promotion!

2025 · arXiv (Cornell University)

As the volume of peer-reviewed research surges, scholars increasingly rely on social platforms for discovery, while authors invest considerable effort in promoting their work to ensure visibility and citations. To streamline this process and reduce …

Llama 2: Open Foundation and Fine-Tuned Chat Models

2023 · arXiv (Cornell University)

In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, …