DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.
CoRR, 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Developing "Learningverse" - A 3-D Metaverse Platform to Support Teaching, Social, and Cognitive Presences.
IEEE Trans. Learn. Technol., December, 2023
A holistic visualisation solution to understanding multimodal data in an educational metaverse platform - Learningverse.
Proceedings of the Proceeding of the 31st International Conference on Computers in Education, 2023
Multi-level Coordinated Energy Management for Energy Hub in Hybrid Markets with Distributionally Robust Scheduling.
CoRR, 2022
Bidirectional Pricing and Demand Response for Nanogrids with HVAC Systems.
CoRR, 2022
Motion artefact reduction in coronary CT angiography images with a deep learning method.
BMC Medical Imaging, 2022
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.
BMC Medical Imaging, 2022
Design of a Peer-To-Peer Network Framework for the Metaverse.
Proceedings of the Proceeding of the 30th International Conference on Computers in Education, 2022
A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification.
CoRR, 2021
Distributionally Robust Day-ahead Scheduling for Power-traffic Network Considering Multiple Uncertainties under a Potential Game Framework.
CoRR, 2021
Evaluation of the M-Orchestrate app for Scaffolding Pupils' Collaborative Science Inquiry during COVID-19.
Proceedings of the Proceeding of the 28th International Conference on Computers in Education, 2020
Development of a Dashboard on a Mobile Collaborative Science Inquiry App - m- Orchestrate.
Proceedings of the Proceeding of the 28th International Conference on Computers in Education, 2020
Distributed Energy Management for an Energy Hub with Multi-users Under Imperfect Communication.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Beyond Just Following Data: How Does Visualization Strategy Facilitate Learning Analytics Design?
Proceedings of the Proceeding of the 27th International Conference on Computers in Education, 2019
A digitalized RRAM-based Spiking Neuron Network system with 3-bit weight and unsupervised online learning scheme.
Proceedings of the 13th IEEE International Conference on ASIC, 2019
CrystalNet: Faithfully Emulating Large Production Networks.
Proceedings of the 26th Symposium on Operating Systems Principles, 2017
Packet-Level Telemetry in Large Datacenter Networks.
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Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015
Datacast: A Scalable and Efficient Reliable Group Data Delivery Service for Data Centers.
IEEE J. Sel. Areas Commun., 2013
Per-packet load-balanced, low-latency routing for clos-based data center networks.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013
Datacast: a scalable and efficient reliable group data delivery service for data centers.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2012