Wei Yang

Personalized E-Advertisement and Experience: Recommending User Targeted Ads

2015

Personalized e-advertising is the art of attracting users' attention by correlating to their tastes and interests. The evolving research of adaptive hypermedia with its techniques and theories contributed to the personalization field. This paper reports …

Trajectory tracking for quantum systems based on Lyapunov control method

2016

We investigat the trajectory tracking problem of quantum systems governed by Liouville equation. With the help of Lyapunov function and LaSlle invariance principle, impulsive control fields are given, which drive the quantum state to a …

Extraction of Bilingual Technical Terms for Chinese-Japanese Patent Translation

2016

The translation of patents or scientific papers is a key issue that should be helped by the use of statistical machine translation (SMT). In this paper, we propose a method to improve Chinese-Japanese patent SMT …

PrivSet: Set-Valued Data Analyses with Locale Differential Privacy

2018

Set-valued data is useful for representing a rich family of information in numerous areas, such as market basket data of online shopping, apps on mobile phones and web browsing history. By analyzing set-valued data that …

A multi-factor influencing POI recommendation model based on matrix factorization

2018

How to make recommendation for personalized users by using the available sparse data is a hot research topic in the area of big data and has wide application prospects. In this work, we investigate the …

The research of clinical temporal knowledge graph based on deep learning

2021 · Journal of Intelligent & Fuzzy Systems

Temporal knowledge base exists on various fields. Take medical medicine field as example, diabetes is a typical chronic disease which evolves slowly. This paper starts from actual EMR data of hospitals by combination of experience …

Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks

2023

Deep Neural Networks (DNNs) have been used to solve different day-to-day problems. Recently, DNNs have been deployed in real-time systems, and lowering the energy consumption and response time has become the need of the hour. …

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination

2024 · arXiv (Cornell University)

Reaching consensus is key to multi-agent coordination. To accomplish a cooperative task, agents need to coherently select optimal joint actions to maximize the team reward. However, current cooperative multi-agent reinforcement learning (MARL) methods usually do …

EZchain: A Secure Scalable Blockchain Protocol via Passive Sharding

2024 · IEEE Transactions on Dependable and Secure Computing

Recently, many sharding blockchain protocols have sacrificed some important attributes to improve scalability, and this makes them complicated and insecure. Moreover, achieving a constant (rather than linear) Communication Cost Per Transaction (CCPT) is still a …

End-to-End Open-Domain Question Answering with

2019

Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). 2019.

Models and Data for Simple Applications of BERT for Ad Hoc Document Retrieval

2019 · arXiv (Cornell University)

Following recent successes in applying BERT to question answering, we explore simple applications to ad hoc document retrieval. This required confronting the challenge posed by documents that are typically longer than the length of input …

Document Expansion by Query Prediction

2019 · arXiv (Cornell University)

One technique to improve the retrieval effectiveness of a search engine is to expand documents with terms that are related or representative of the documents' content.From the perspective of a question answering system, this might …

Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering

2019 · arXiv (Cornell University)

Recently, a simple combination of passage retrieval using off-the-shelf IR techniques and a BERT reader was found to be very effective for question answering directly on Wikipedia, yielding a large improvement over the previous state …

Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval

2019

Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, Jimmy Lin. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Multi-Stage Document Ranking with BERT

2019 · arXiv (Cornell University)

The advent of deep neural networks pre-trained via language modeling tasks has spurred a number of successful applications in natural language processing. This work explores one such popular model, BERT, in the context of document …