activity
20202026
most citedData-driven discovery of multiscale chemical reactions governed by the law of mass action

14 citations · 27 across the 8 of their papers we have counts for

collaborators

10 papers

cs.HC2026

AuthScribe: Supporting Agency and Authorship in LLM-Assisted Reflective Journaling

Lanping Hu, Yinsi Zhou, Zhenchang Xing +2

Large language models are increasingly used in reflective journaling, where articulating an experience is part of interpreting it. This raises questions about how writers retain au…

cs.HC2026

LEGOUI: Designing with UI-DSL Bricks to Balance Transparency and Controllability

Yinsi Zhou, Mingyue Yuan, Hongyue Xu +8

Generative user interface design tools enable rapid prototyping but often operate as black boxes with limited transparency and controllability. When outputs diverge from the design…

cs.CV2026

VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection

Xiaobin Hu, Enpu Zuo, Lanping Hu +7

Privacy protection has become a critical requirement in the era of ubiquitous visual data sharing, imposing higher demands on efficient and robust privacy detection algorithms. How…

cs.CL2025

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements

Jianwei Wang, Mengqi Wang, Yinsi Zhou +5

Health, Safety, and Environment (HSE) compliance assessment demands dynamic real-time decision-making under complicated regulations and complex human-machine-environment interactio…

cs.CV2023

Image Captioning with Multi-Context Synthetic Data

Feipeng Ma, Yizhou Zhou, Fengyun Rao +2

Image captioning requires numerous annotated image-text pairs, resulting in substantial annotation costs. Recently, large models (e.g. diffusion models and large language models) h…

cs.CV2023

Device Tuning for Multi-Task Large Model

Penghao Jiang, Xuanchen Hou, Yinsi Zhou

Unsupervised pre-training approaches have achieved great success in many fields such as Computer Vision (CV), Natural Language Processing (NLP) and so on. However, compared to typi…

cs.LG2022

Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors

Meena Arunachalam, Vrushabh Sanghavi, Yi A Yao +6

End-to-end (E2E) artificial intelligence (AI) pipelines are composed of several stages including data preprocessing, data ingestion, defining and training the model, hyperparameter…

math.NA2022

Coupling conditions for linear hyperbolic relaxation systems in two-scales problems

Juntao Huang, Ruo Li, Yizhou Zhou

This work is concerned with coupling conditions for linear hyperbolic relaxation systems with multiple relaxation times. In the region with small relaxation time, an equilibrium sy…

physics.chem-ph2021★ 14 cited

Data-driven discovery of multiscale chemical reactions governed by the law of mass action

Juntao Huang, Yizhou Zhou, Wen-An Yong

In this paper, we propose a data-driven method to discover multiscale chemical reactions governed by the law of mass action. First, we use a single matrix to represent the stoichio…

physics.comp-ph2020★ 13 cited

Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows

Juntao Huang, Zhiting Ma, Yizhou Zhou +1

In this work, we develop a method for learning interpretable, thermodynamically stable and Galilean invariant partial differential equations (PDEs) based on the Conservation-dissip…