Zhe Chen

Multitask Mixture of Sequential Experts for User Activity Streams

2020

It is often desirable to model multiple objectives in real-world web applications, such as user satisfaction and user engagement in recommender systems. Multi-task learning has become the standard approach for such applications recently.

REM: Visualizing the Ripple Effect on Dependencies Using Metrics of Health

2020

In recent years, free and open source software (FOSS) components have become common dependencies in the development of software, both open source and proprietary. As the complexity of software increases, so does the number of …

Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems

2021

Despite deep neural network (DNN)'s impressive prediction performance in various domains, it is well known now that a set of DNN models trained with the same model specification and the exact same training data could …

State Evaluation of Electronic Transformers Based on Cross Weight Method AHP

2021

This paper focuses on the problems of frequent faults, abnormal events, and the lack of operational state evaluation means for electronic transformers. Based on a large amount of equipment operation and state data, a cross …

Simulating many-body physics with quantum nonlinear optics

2023 · Physical Review A

The rapidly growing field of quantum information can benefit greatly from quantum nonlinear optics, which has the potential to generate highly correlated optical states with a sufficiently large interaction strength per photon. Such states play …

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the processing of visual information, which cannot be successfully handled by existing …

DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection

2025

In the field of digital security, Reversible Adversarial Examples (RAE) combine adversarial attacks with reversible data hiding techniques to effectively protect sensitive data and prevent unauthorized analysis by malicious Deep Neural Networks (DNNs). However, existing …

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems

2025 · arXiv (Cornell University)

Split federated learning (SFL) has emerged as a promising paradigm to democratize machine learning (ML) on edge devices by enabling layer-wise model partitioning. However, existing SFL approaches suffer significantly from the straggler effect due to …