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Yonggang Wen

Professor

Nanyang Technological University (NTU)

Singapore

Research Interests

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Professors in High Performance Computing

Articles (36)

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Collaborators (10)

Xianfeng Wang

Associate Professor

Nanyang Technological University (NTU)

SINGAPORE

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Xiaolin Wang

Professor

Peking University

CHINA

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Dacheng Tao

Professor of Computer Science

University of Sydney

AUSTRALIA

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Edward Park

Associate Professor/Principal Investigator

Nanyang Technological University (NTU)

SINGAPORE

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Sumei Sun

Singapore Institute of Technology

SINGAPORE

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Qingyu Yan

Professor

Nanyang Technological University (NTU)

SINGAPORE

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jingyu wang

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Yinqiu Liu

Nanyang Technological University

SINGAPORE

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Shuyu Sun

Professor and Dean

SAUDI ARABIA

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Maha Abdallah

Associate Professor

Sorbonne Université

FRANCE

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Yonggang Wen

Research Interests

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Articles (36)

Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study

Towards interpretable and trustworthy lithium-ion battery prognostics and health management with physics-informed machine learning

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities

SPPO: Making Million-Token LLM Training Practical on Modest GPU Clusters

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management With Internet of Electric Vehicles

Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs

ChatDC: Geometric-aware Data Center Digital Twin Generation via Large Language Models

Knowledge-Aware Modeling With Frequency-Adaptive Learning for Battery Health Prognostics

Transforming Future Data Center Operations and Management via Physical AI

Operando Generative Thermal Reconstruction for Lithium-Ion Batteries Through Integration of Physics and Diffusion Models

Toward Multiphysics-Informed Machine Learning for Sustainable Data Center Operations: Intelligence Evolution With Deployable Solutions for Computing Infrastructure

Key drivers and predictability of the unprecedented 2024 United Arab Emirates flood

A Survey on Intelligent Predictive Maintenance (IPdM) in the Era of Fully Connected Intelligence

CoFormer: Collaborating With Heterogeneous Edge Devices for Scalable Transformer Inference

Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning

The development of carbon-neutral data centres in space

Adaptive Capacity Provisioning for Carbon-Aware Data Centers: A Digital Twin-Based Approach

IceFrog: A Layer-Elastic Scheduling System for Deep Learning Training in GPU Clusters

Learning from models beyond fine-tuning

Personalized Federated Mutual Learning for Unsupervised Camera-aware Person Re-identification

Deep Learning Workload Scheduling in GPU Datacenters: A Survey

UniSched: A Unified Scheduler for Deep Learning Training Jobs With Different User Demands

Green Data Center Cooling Control via Physics-guided Safe Reinforcement Learning

Web3 Metaverse: State-of-the-Art and Vision

Passive daytime radiative cooling: Moving beyond materials towards real-world applications

Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach

Federated Learning With Only Positive Labels by Exploring Label Correlations

Automatic Transformation Search Against Deep Leakage From Gradients

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning

Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

Data Center Sustainability: Revisits and Outlooks

Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition

Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions

EasyFL: A Low-Code Federated Learning Platform for Dummies

Collaborators (10)

Xianfeng Wang

Xiaolin Wang

Dacheng Tao

Edward Park

Sumei Sun

Qingyu Yan

jingyu wang

Yinqiu Liu

Shuyu Sun

Maha Abdallah

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