Huaizheng Zhang

Orcid: 0000-0002-0153-6400

According to our database1, Huaizheng Zhang authored at least 24 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
CoRR, 2023

DataCI: A Platform for Data-Centric AI on Streaming Data.
CoRR, 2023

MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs.
CoRR, 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Video Object Segmentation with Restricted Attention.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multimodal learning for quality of experience in video-to-retail applications: algorithms and deployment
PhD thesis, 2022

Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges.
CoRR, 2022

Active-Learning-as-a-Service: An Efficient MLOps System for Data-Centric AI.
CoRR, 2022

Towards Data-Efficient Continuous Learning for Edge Video Analytics via Smart Caching.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

2021
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems.
CoRR, 2021

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale.
CoRR, 2021

A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning.
CoRR, 2021

Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction.
IEEE Trans. Multim., 2020

No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System.
CoRR, 2020

MLModelCI: An Automatic Cloud Platform for Efficient MLaaS.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
CoRR, 2019

Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Optimizing Quality of Experience for Adaptive Bitrate Streaming via Viewer Interest Inference.
IEEE Trans. Multim., 2018

Deepqoe: A Unified Framework for Learning to Predict Video QoE.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment.
Proceedings of the IEEE International Conference on Data Mining, 2018


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