Chaoyi Ma
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View article: OneRec-V2 Technical Report
OneRec-V2 Technical Report Open
Recent breakthroughs in generative AI have transformed recommender systems through end-to-end generation. OneRec reformulates recommendation as an autoregressive generation task, achieving high Model FLOPs Utilization. While OneRec-V1 has …
View article: OneRec Technical Report
OneRec Technical Report Open
Recommender systems have been widely used in various large-scale user-oriented platforms for many years. However, compared to the rapid developments in the AI community, recommendation systems have not achieved a breakthrough in recent yea…
View article: Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce Open
Ranking model plays an essential role in e-commerce search and recommendation. An effective ranking model should give a personalized ranking list for each user according to the user preference. Existing algorithms usually extract a user re…
View article: Real-time Spread Burst Detection in Data Streaming
Real-time Spread Burst Detection in Data Streaming Open
Data streaming has many applications in network monitoring, web services, e-commerce, stock trading, social networks, and distributed sensing. This paper introduces a new problem of real-time burst detection in flow spread, which differs f…
View article: Training Medical-Diagnosis Neural Networks on the Cloud with Privacy-Sensitive Patient Data from Multiple Clients
Training Medical-Diagnosis Neural Networks on the Cloud with Privacy-Sensitive Patient Data from Multiple Clients Open
Artificial neural networks (ANNs) are changing the paradigm in medical diagnosis. However, it remains an open problem how to outsource the model training operations to the cloud while protecting the privacy of distributed patient data. Hom…
View article: On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud
On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud Open
Machine learning and artificial neural networks (ANNs) have been at the forefront of medical research in the last few years. It is well known that ANNs benefit from big data and the collection of the data is often decentralized, meaning th…
View article: Hierarchical Virtual Bitmaps for Spread Estimation in Traffic Measurement
Hierarchical Virtual Bitmaps for Spread Estimation in Traffic Measurement Open
This paper introduces a hierarchical traffic model for spread measurement of network traffic flows. The hierarchical model, which aggregates lower level flows into higher-level flows in a hierarchical structure, will allow us to measure ne…
View article: A unified Neural Network Approach to E-CommerceRelevance Learning
A unified Neural Network Approach to E-CommerceRelevance Learning Open
Result relevance scoring is critical to e-commerce search user experience. Traditional information retrieval methods focus on keyword matching and hand-crafted or counting-based numeric features, with limited understanding of item semantic…
View article: From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search Open
We introduce deep learning models to the two most important stages in product search at JD.com, one of the largest e-commerce platforms in the world. Specifically, we outline the design of a deep learning system that retrieves semantically…
View article: A Novel Modified Sparrow Search Algorithm with Application in Side Lobe Level Reduction of Linear Antenna Array
A Novel Modified Sparrow Search Algorithm with Application in Side Lobe Level Reduction of Linear Antenna Array Open
Antenna arrays play an increasingly important role in modern wireless communication systems. However, how to effectively suppress and optimize the side lobe level (SLL) of antenna arrays is critical for communication performance and commun…
View article: Generalized Sketch Families for Network Traffic Measurement
Generalized Sketch Families for Network Traffic Measurement Open
Traffic measurement provides critical information for network management, resource allocation, traffic engineering, and attack detection. Most prior art has been geared towards specific application needs with specific performance objective…
View article: From Semantic Retrieval to Pairwise Ranking
From Semantic Retrieval to Pairwise Ranking Open
We introduce deep learning models to the two most important stages in product search at JD.com, one of the largest e-commerce platforms in the world. Specifically, we outline the design of a deep learning system that retrieves semantically…