Datacast: a scalable and efficient reliable group data delivery service for data centers. - Jiaxin Cao; Chuanxiong Guo; Guohan Lu; Yongqiang Xiong; Yixin Zheng; Yongguang Zhang; Yibo Zhu; Chen Chen 019 (CoNEXT, 2012)

Per-packet load-balanced, low-latency routing for clos-based data center networks. - Jiaxin Cao; Rui Xia; Pengkun Yang; Chuanxiong Guo; Guohan Lu; Lihua Yuan; Yixin Zheng; Haitao Wu; Yongqiang Xiong; David A. Maltz (CoNEXT, 2013)

Datacast: A Scalable and Efficient Reliable Group Data Delivery Service for Data Centers. - Jiaxin Cao; Chuanxiong Guo; Guohan Lu; Yongqiang Xiong; Yixin Zheng; Yongguang Zhang; Yibo Zhu; Chen Chen 019; Ye Tian 004 (IEEE J. Sel. Areas Commun., 2013)

Packet-Level Telemetry in Large Datacenter Networks. - Yibo Zhu; Nanxi Kang; Jiaxin Cao; Albert G. Greenberg; Guohan Lu; Ratul Mahajan; David A. Maltz; Lihua Yuan; Ming Zhang 005; Ben Y. Zhao; Haitao Zheng 001 (SIGCOMM, 2015)

CrystalNet: Faithfully Emulating Large Production Networks. - Hongqiang Harry Liu; Yibo Zhu; Jitu Padhye; Jiaxin Cao; Sri Tallapragada; Nuno P. Lopes; Andrey Rybalchenko; Guohan Lu; Lihua Yuan (SOSP, 2017)

A digitalized RRAM-based Spiking Neuron Network system with 3-bit weight and unsupervised online learning scheme. - Danqing Wu; Shilin Yan; Haodi Tang; Yu Wang; Jiayun Feng; Xianwu Hu; Jiaxin Cao; Yufeng Xie (ASICON, 2019)

Beyond Just Following Data: How Does Visualization Strategy Facilitate Learning Analytics Design? - Jiaxin Cao; Yanjie Song 002 (ICCE, 2019)

Distributed Energy Management for an Energy Hub with Multi-users Under Imperfect Communication. - Jiaxin Cao; Bo Yang 006; Shanying Zhu (ICCA, 2020)

Development of a Dashboard on a Mobile Collaborative Science Inquiry App - m- Orchestrate. - Yanjie Song 002; Jiaxin Cao (ICCE, 2020)

Evaluation of the M-Orchestrate app for Scaffolding Pupils' Collaborative Science Inquiry during COVID-19. - Yanjie Song 002; Jiaxin Cao; Yin Yang (ICCE, 2020)

Distributionally Robust Day-ahead Scheduling for Power-traffic Network Considering Multiple Uncertainties under a Potential Game Framework. - Haoran Deng; Bo Yang 006; Jiaxin Cao; Chao Ning 002; Cailian Chen; Xinping Guan (CoRR, 2021)

A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification. - Jiaxin Cao; Xiaoyan Li (CoRR, 2021)

Design of a Peer-To-Peer Network Framework for the Metaverse. - Yanjie Song 002; Kaiyi Wu; Jiaxin Cao; Yin Yang (ICCE, 2022)

Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience. - Xianjun Han; Nan Luo; Lixue Xu; Jiaxin Cao; Ning Guo; Yi He; Min Hong; Xibin Jia; Zhenchang Wang; Zhenghan Yang (BMC Medical Imaging, 2022)

Motion artefact reduction in coronary CT angiography images with a deep learning method. - Pengling Ren; Yi He; Yi Zhu; Tingting Zhang; Jiaxin Cao; Zhenchang Wang; Zhenghan Yang (BMC Medical Imaging, 2022)

Bidirectional Pricing and Demand Response for Nanogrids with HVAC Systems. - Jiaxin Cao; Bo Yang 006; Shanying Zhu; Kai Ma 001; Xinping Guan (CoRR, 2022)

Multi-level Coordinated Energy Management for Energy Hub in Hybrid Markets with Distributionally Robust Scheduling. - Jiaxin Cao; Bo Yang 006; Shanying Zhu; Chi Yung Chung 001; Xinping Guan (CoRR, 2022)

A holistic visualisation solution to understanding multimodal data in an educational metaverse platform - Learningverse. - Yanjie Song 002; Jiaxin Cao; Lei Tao; Dragan Gasevic (ICCE, 2023)

Developing "Learningverse" - A 3-D Metaverse Platform to Support Teaching, Social, and Cognitive Presences. - Yanjie Song 002; Jiaxin Cao; Kaiyi Wu; Philip Leung Ho Yu; John Chi-Kin Lee (IEEE Trans. Learn. Technol., 2023)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Kai Li; Song Han 003 (CVPR, 2024)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Ming-Yu Liu 001; Kai Li; Song Han 003 (CoRR, 2024)