Liang Tan

Computer Science · Physical Sciences

3h-index18citations12works3.02yr avg
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Research Topics

Multimodal Machine Learning Applications(4), Topic Modeling(3), Domain Adaptation and Few-Shot Learning(3), Advanced Neural Network Applications(1), Natural Language Processing Techniques(1)

Publications12 total

LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
arXiv (Cornell University)·2025Open Access
Assessing the Impact of Street Visual Environment on the Emotional Well-Being of Young Adults through Physiological Feedback and Deep Learning Technologies
Buildings·2024· 6 citedOpen Access
Research on Power Grid Disaster Prediction and Early Warning Model Based on BP Neural Network
2023
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
arXiv (Cornell University)·2021Open Access
Modality-specific Distillation
2021Open Access
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
2021· 3 citedOpen Access
Ground-truth “resting-state” signal provides data-driven estimation and correction for scanner distortion of fMRI time-series dynamics
NeuroImage·2020· 2 citedOpen Access
An Empirical Study on Ensemble Learning of Multimodal Machine Translation
2020· 6 cited
Accelerated big data analysis with deep generative models
2020
A New Segmentation Algorithm for 3D Colored Point Cloud Based on Grid
Advances in intelligent systems and computing·2014· 1 cited
An Algorithm of Auto-Update Threshold for Singularity Analysis of Pipeline Pressure
Mathematical Problems in Engineering·2013Open Access
A RECOGNITION MODEL FOR NETWORK INTRUSION BASED ON ARTIFICIAL IMMUNE SYSTEM
2004

Frequent Co-authors

Woojeong Jin(3), Maziar Sanjabi(3), Shaoliang Nie(3), Xiang Ren(3), Hamed Firooz(3), Lin Li(1), Yifeng Han(1), Li Dong(1), Kaixi Hu(1), Dong Zhou(1), Peipei Wang(1), Wei Zhao(1), Shaofei Niu(1), Linbo Qing(1), Rajat Kumar(1), Alan Kriegstein(1), Andrew Lithen(1), Jon̈athan R. Polimeni(1), Helmut H. Strey(1), Lilianne R. Mujica‐Parodi(1)